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Cancer Statistics - Karmanos Cancer Institute

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<strong>Cancer</strong> <strong>Statistics</strong><br />

in Metropolitan Detroit 2008<br />

Metropolitan Detroit <strong>Cancer</strong> Surveillance System<br />

Surveillance, Epidemiology and End Results Program<br />

February 2008


Table of Contents<br />

Metropolitan Detroit <strong>Cancer</strong> Surveillance System (MDCSS):<br />

SEER Program Description and Goals 2<br />

Geographic Coverage Area: Metropolitan Detroit 3<br />

Population by Age and Gender, Race/Ethnicity<br />

Metropolitan Detroit, 2004 4<br />

Michigan Department of Community Health Collaboration 5<br />

MDCSS Authority to Collect <strong>Cancer</strong> Information 6<br />

Temporal Trends in Metropolitan Detroit 7<br />

<strong>Cancer</strong> Incidence, Mortality and Age-Adjusted Rates per<br />

100,000 Population by Site, Race and Sex, Metropolitan<br />

Detroit, 2004 — All Races 8 - 9<br />

<strong>Cancer</strong> Incidence, Mortality and Age-Adjusted Rates per<br />

100,000 Population by Site, Race and Sex, Metropolitan<br />

Detroit, 2004 — Caucasian 10 - 11<br />

<strong>Cancer</strong> Incidence, Mortality and Age-Adjusted Rates per<br />

100,000 Population by Site, Race and Sex, Metropolitan<br />

Detroit, 2004 — African-American 12 - 13<br />

Survival Analysis of Prostate <strong>Cancer</strong> by Stage 14<br />

Survival Analysis of Female Breast <strong>Cancer</strong> by Stage 15<br />

Survival Analysis of Lung <strong>Cancer</strong> by Stage 16<br />

Survival Analysis of Colorectal <strong>Cancer</strong> by Stage 17<br />

2007 Annual Scientific Conference of the North American<br />

Association of Central <strong>Cancer</strong> Registries (NAACCR) 18<br />

Gender Differences in Lung <strong>Cancer</strong> Survival 19<br />

<strong>Cancer</strong> in the Arab and Chaldean American Population<br />

in the Metropolitan Detroit Area 20 - 21<br />

Arsenic and <strong>Cancer</strong> of the Urinary Bladder 22<br />

Differences in Completeness of Follow-up<br />

in a Population-Based <strong>Cancer</strong> Registry 23<br />

External Investigators: Use of MDCSS Data 24<br />

List of Studies Conducted at the MDCSS 25 - 26<br />

List of MDCSS/Detroit SEER Publications 2005-2007 27 - 29<br />

Affiliations and Acknowledgements 30<br />

MDCSS Participating Institutions 31<br />

Appendix A<br />

Michigan Public Health Code (Excerpts) 32-33<br />

Health Insurance Portability<br />

and Accountability Act of 1996 (Excerpts) 34<br />

Appendix B<br />

State of Michigan Letter of Authority 35<br />

Credits 36


Metropolitan Detroit <strong>Cancer</strong> Surveillance System (MDCSS)<br />

SEER Program Description and Goals<br />

Program Description<br />

Program Goals<br />

2<br />

The Metropolitan Detroit <strong>Cancer</strong> Surveillance System (MDCSS)<br />

has been recording data on cancer in Wayne, Oakland and Macomb<br />

Counties since 1973. <strong>Cancer</strong> is a reportable disease under State of<br />

Michigan law. The MDCSS is the arm of the Michigan Department<br />

of Community Health (MDCH) for the collection and reporting of<br />

cancer data for residents of the tri-county area. The MDCSS is also<br />

one of 18 cancer registries in the United States providing data to<br />

the National <strong>Cancer</strong> <strong>Institute</strong> as part of the Surveillance, Epidemiology<br />

and End Results (SEER) Program. The SEER Program was established<br />

by the National <strong>Cancer</strong> Act in 1971. The MDCSS is a founding<br />

participant in that program and is now completing its 34th year of<br />

data collection as a SEER Registry.<br />

The MDCSS has a staff of more than 50 people who collect data<br />

from hospitals, laboratories and other facilities that serve cancer<br />

patients. A follow-up program tracks more than 95% of the cancer<br />

survivors diagnosed since 1973, providing yearly updates on their<br />

status. Funding for the registry is provided by the National <strong>Cancer</strong><br />

<strong>Institute</strong> to Wayne State University. Additional funding for research<br />

studies is provided by the National <strong>Cancer</strong> <strong>Institute</strong> and other<br />

agencies through grants and contracts and distributed to university,<br />

state and national researchers investigating cancer-related topics.<br />

Strict rules are in place to preserve the confidentiality of individual<br />

patient information and the hospitals and physicians that<br />

provide the data.<br />

The national SEER Program collects cancer data on approximately<br />

26% of the United States population. Participating registries are<br />

chosen in part for the special populations represented within their<br />

borders. The Detroit tri-county area is an ideal location because of<br />

its urban, industrial setting and diverse population. The goals of the<br />

Detroit SEER Program are to:<br />

1. Assemble and report estimates of cancer incidence, survival<br />

and mortality in the tri-county area.<br />

2. Monitor annual cancer trends to identify unusual changes<br />

in specific forms of cancer in population subgroups.<br />

3. Provide continuing information on changes over time in the<br />

extent of disease at diagnosis, therapy and patient survival.<br />

4. Promote and conduct studies designed to identify factors leading<br />

to cancer causes, prevention and control.<br />

5. Respond to requests from individuals and organizations for<br />

data on cancer in the tri-county area.<br />

Over the past 34 years, we have seen remarkable improvements in<br />

cancer diagnosis and therapy. We have learned that by getting regular<br />

physical exercise, following a healthy diet and quitting smoking<br />

and other types of tobacco use, we can greatly reduce our risk of<br />

developing certain types of cancer. We have also learned that early<br />

detection of cancer through self-examination and regular health<br />

checkups can improve cancer survival.


Geographic Coverage Area:<br />

Metropolitan Detroit<br />

The MDCSS and the Detroit<br />

SEER Program provide reporting<br />

for Wayne, Oakland and<br />

Macomb counties in southeastern<br />

Michigan. These three<br />

counties are home to 4,043,467<br />

people, approximately 41%<br />

of the total state population.<br />

(2000 US Census.) There are<br />

2,061,162 individuals residing<br />

in Wayne County, 46% of these<br />

in the City of Detroit, which<br />

has a population of 951,270.<br />

Oakland County residents<br />

number 1,194,156 and Macomb<br />

County has the smallest population<br />

of the three, with 788,149<br />

residents. As of the 2000 census,<br />

about 69% of the population<br />

in the tri-county area were<br />

Caucasian and 25% African<br />

American. An additional 6%<br />

of the population were of<br />

other races, primarily Asian<br />

and Native American. Persons<br />

of Hispanic origin made up<br />

about 3% of the total population.<br />

The tri-county area also<br />

has great ethnic diversity,<br />

which includes groups of<br />

Polish-, German-, Italian-,<br />

and Arab-Americans.<br />

In 2004, there were 24,408 new<br />

invasive and in situ cancers<br />

diagnosed in residents of the<br />

Detroit Metropolitan tri-county<br />

area. This is about half the number<br />

reported for the entire state.<br />

Because of the large population<br />

encompassed in the Detroit<br />

Metropolitan area and the diversity<br />

found here, the MDCSS<br />

is especially vital to both the<br />

State of Michigan and National<br />

<strong>Cancer</strong> statistics reporting.<br />

Newly Diagnosed Invasive and In Situ <strong>Cancer</strong>s<br />

in the Metropolitan Detroit Area (2004)<br />

11,932<br />

7,275<br />

5,201<br />

New <strong>Cancer</strong>s<br />

Wayne County<br />

New <strong>Cancer</strong>s<br />

Oakland County<br />

New <strong>Cancer</strong>s<br />

Macomb County<br />

3


Population by Age, Gender and Race/Ethnicity<br />

in Metropolitan Detroit, 2004<br />

OAKLAND<br />

MACOMB<br />

WAYNE<br />

4<br />

CAUCASIAN AFRICAN-AMERICAN Hispanic * ASIAN/pacific Other ** All Races<br />

Age Male Female Male Female Male Female Male Female Male Female Male Female<br />

0 years 18,129 17,021 8,320 7,896 1,561 1,459 1,419 1,339 51 39 27,919 26,295<br />

01-04 years 73,755 70,104 33,097 32,017 5,829 5,560 4,919 4,611 304 291 112,075 107,023<br />

05-09 years 95,726 90,477 43,311 42,206 7,172 6,892 5,922 5,498 782 774 145,741 138,955<br />

10-14 years 102,231 96,115 54,201 52,848 6,562 6,007 5,108 4,848 823 855 162,363 154,666<br />

15-19 years 93,636 87,481 41,483 41,226 5,473 5,075 4,339 3,972 782 801 140,240 133,480<br />

20-24 years 79,013 73,891 34,032 37,502 6,999 5,213 3,199 3,294 747 677 116,991 115,364<br />

25-29 years 81,716 76,729 32,109 38,509 7,817 5,999 5,599 6,395 689 622 120,113 122,255<br />

30-34 years 99,421 94,556 35,557 44,439 7,551 6,096 9,094 8,840 697 761 144,769 148,596<br />

35-39 years 109,810 105,333 32,971 41,101 6,053 5,201 7,726 7,035 746 764 151,253 154,233<br />

40-44 years 121,599 118,099 32,974 41,150 4,906 4,256 6,082 5,515 806 788 161,461 165,552<br />

45-49 years 119,658 119,679 33,689 41,725 3,887 3,566 4,601 4,325 735 798 158,683 166,527<br />

50-54 years 103,923 104,170 28,815 36,725 2,807 2,786 3,433 3,807 610 705 136,781 145,407<br />

55-59 years 86,397 88,825 22,829 28,910 2,092 2,004 2,940 3,263 448 512 112,614 121,510<br />

60-64 years 64,304 67,988 15,644 19,818 1,474 1,439 2,181 2,166 334 342 82,463 90,314<br />

65-69 years 44,521 52,105 10,517 15,100 979 1,121 1,503 1,543 173 243 56,714 68,991<br />

70-74 years 34,348 47,220 8,582 13,299 729 953 806 1,041 110 174 43,846 61,734<br />

75-79 years 35,113 49,222 7,498 12,054 720 814 570 818 101 149 43,282 62,243<br />

80-84 years 23,949 40,182 5,391 8,949 412 472 363 490 54 113 29,757 49,734<br />

85+ years 16,533 39,929 3,685 8,121 259 364 199 374 34 98 20,451 48,522<br />

Source: Surveillance, Epidemiology, and End<br />

Results (SEER) Program (www.seer.cancer.gov)<br />

SEER*Stat Database: Populations -<br />

Note: *Person of Hispanic origin may be of any race<br />

**Other indicates those other than Caucasian, African American or Asian/Pacific<br />

Total U.S. (1990-2004) - Linked To County<br />

Attributes - Total U.S., 1969-2004 Counties,<br />

National <strong>Cancer</strong> <strong>Institute</strong>, DCCPS, Surveillance<br />

Research Program, <strong>Cancer</strong> <strong>Statistics</strong> Branch,<br />

released October 2006.


Michigan Department of Community Health Collaboration<br />

The 20-year collaboration between the Metropolitan Detroit <strong>Cancer</strong> Surveillance System (MDCSS) and the Michigan Department of<br />

Community Health (MDCH) was recently enhanced by the addition of a new liaison position with the MDCH. The Michigan <strong>Cancer</strong><br />

Surveillance Program (MCSP) / SEER Collaboration Project Coordinator is an employee of the MDCH but is housed at the MDCSS.<br />

The creation of this new position within the State of Michigan <strong>Cancer</strong> Surveillance Program successfully supplemented cancer<br />

identification services and quality control oversight for local area hospitals.<br />

Ms. Jeanne Whitlock is the Michigan <strong>Cancer</strong> Surveillance<br />

Program (MCSP) / SEER Collaboration Project Coordinator.<br />

Ms. Whitlock is a hospital liaison and advocate. Her role is to<br />

visit area hospitals to enhance data collection efforts. Ms. Whitlock<br />

is a Certified Tumor Registrar. She has been a Tumor Registrar for<br />

17 years and has worked as a Quality Assurance Consultant for the<br />

National <strong>Cancer</strong> <strong>Institute</strong>. Ms. Whitlock will visit Metropolitan<br />

Detroit Tri-County facilities regularly to perform the following<br />

functions on behalf of the State:<br />

• Coordinate relationships between the Metropolitan<br />

Detroit <strong>Cancer</strong> Surveillance System (MDCSS) and hospitals<br />

diagnosing/treating tri-county resident cancer patients,<br />

on behalf of the State<br />

• Ensure that hospitals are accessing all possible casefinding<br />

sources within their facility for the State<br />

• Set up and conduct regular quality control audits by the<br />

State with area hospitals<br />

• Identify Wayne, Oakland and Macomb county residents<br />

diagnosed outside the tri-county and make arrangements<br />

with those hospitals to have the patients’ medical records<br />

abstracted<br />

• Act as a liaison for the State with MDCSS Research<br />

operations and area hospitals and act as a liaison with<br />

local health departments<br />

• Provide guidance on the importance of timely and regular<br />

data submissions for hospitals that electronically submit<br />

their data and ensure that those hospitals without timely<br />

submission practices are brought under the enforcement of<br />

the State’s 6 month reporting requirement<br />

• Identify sources and collect follow-up information<br />

• Provide supplemental data collection for stateapproved<br />

research<br />

Ms. Jeanne Whitlock is also the State liaison with the Metropolitan<br />

Detroit <strong>Cancer</strong> Surveillance System to support the State of Michigan<br />

participation in the National <strong>Cancer</strong> <strong>Institute</strong>’s Surveillance<br />

Epidemiology and End Results Program (SEER).<br />

Ms. Jeanne Whitlock is located at the MDCSS<br />

and can be contacted as follows:<br />

Jeanne Whitlock, CTR<br />

State SEER Project<br />

Coordinator<br />

Michigan <strong>Cancer</strong> Surveillance<br />

Program (MCSP) / SEER<br />

Collaboration Project Coordinator<br />

110 East Warren Avenue<br />

Detroit, MI 48201<br />

Whitlockj@michigan.gov<br />

Toll Free: 1-866-220-5817<br />

5


MDCSS Authority to Collect <strong>Cancer</strong> Information<br />

6<br />

The Metropolitan Detroit<br />

<strong>Cancer</strong> Surveillance System<br />

(MDCSS) obtains its authority<br />

to collect and report cancer<br />

information from State of<br />

Michigan law. (Michigan<br />

Compiled Laws Annotated,<br />

Section 333.2619. See Appendix<br />

A and B and letter at right.)<br />

Because the MDCSS is designated<br />

by the Michigan Department<br />

of Community Health as<br />

a “state-authorized entity for<br />

the collection and reporting of<br />

individually-identifiable cancer<br />

information,” HIPAA allows<br />

hospitals to disclose this<br />

information to the MDCSS.<br />

(State of Michigan letter,<br />

Appendix B, page 35 and<br />

at right.)


Temporal Trends in Metropolitan Detroit<br />

Incidence rates for prostate<br />

cancer peaked in 1992, but<br />

have remained high due to<br />

increased detection through the<br />

PSA (prostate specific antigen)<br />

test. Female breast cancer<br />

incidence rates have remained<br />

steady since the late 1980’s.<br />

Mammography screening has<br />

played an important role in the<br />

early diagnosis of this cancer.<br />

While rates of lung cancer have<br />

been declining among males<br />

since the mid 1990’s, rates<br />

among females are only now<br />

leveling off.<br />

Lung cancer has been the<br />

leading cause of cancer<br />

mortality among males since<br />

1973, but it has declined<br />

somewhat since 1992. Mortality<br />

among females from lung cancer<br />

continues to increase, reflecting<br />

an increase in smoking.<br />

Mortality rates for prostate<br />

and female breast cancer have<br />

remained relatively stable<br />

over time.<br />

RATES PER 100,000 POPULATION<br />

300<br />

250<br />

200<br />

150<br />

100<br />

50<br />

Age-Adjusted Incidence for Invasive Lung & Bronchus, Prostate<br />

& Female Breast <strong>Cancer</strong>s, Metropolitan Detroit, 1973-2004<br />

1975 1980 1985<br />

1990 1995 2000<br />

Source: Surveillance, Epidemiology, and End Results (SEER) Program (www.seer.cancer.gov) SEER*Stat Database: Incidence - SEER 9 Regs<br />

Limited-Use, Nov 2006 Sub (1973-2004) - Linked To County Attributes - Total U.S., 1969-2004 Counties, National <strong>Cancer</strong> <strong>Institute</strong>,<br />

DCCPS, Surveillance Research Program, <strong>Cancer</strong> <strong>Statistics</strong> Branch, released April 2007, based on the November 2006 submission.<br />

Male Lung Female Lung Prostate Female Breast<br />

Age-Adjusted Mortality Rates for Invasive Lung & Bronchus, Prostate<br />

& Female Breast <strong>Cancer</strong>s, Metropolitan Detroit, 1973-2004<br />

7<br />

RATES PER 100,000 POPULATION<br />

100<br />

80<br />

60<br />

40<br />

20<br />

1975 1980 1985 1990 1995<br />

2000<br />

Source: Surveillance, Epidemiology, and End Results (SEER) Program (www.seer.cancer.gov) SEER*Stat Database: Mortality - All COD, Public-<br />

Use With State, Total U.S. (1969-2004), National <strong>Cancer</strong> <strong>Institute</strong>, DCCPS, Surveillance Research Program, <strong>Cancer</strong> <strong>Statistics</strong> Branch, released<br />

April 2007. Underlying mortality data provided by NCHS (www.cdc.gov/nchs).


All Races<br />

<strong>Cancer</strong> Incidence, Mortality and Age Adjusted Rates per 100,000<br />

Population by Site, Race and Sex, Metropolitan Detroit, 2004<br />

8<br />

All Races Incidence Rate Mortality Rate<br />

Total Male Female Total Male Female Total Male Female Total Male Female<br />

All Sites (Invasive) 20,783 10,828 9,955 507.9 616.6 434.6 7,769 3,957 3,812 190.2 235.0 161.4<br />

Oral Cavity and Pharynx 466 328 138 11.2 17.5 6.1 120 89 31 2.9 5.0 1.4<br />

Lip 20 13 7 0.5 0.8 0.3 * * 0 * * 0<br />

Tongue 126 95 31 3.0 5.0 1.4 24 17 7 0.6 0.9 0.3<br />

Salivary Gland 43 17 26 1.1 1.0 1.1 6 * * 0.1 * *<br />

Floor of Mouth 38 27 11 0.9 1.3 0.5 * * 0 * * 0<br />

Gum and Other Mouth 71 48 23 1.7 2.7 1.0 19 12 7 0.5 0.8 0.3<br />

Nasopharynx 22 15 7 0.5 0.8 0.3 14 10 * 0.3 0.5 *<br />

Tonsil 73 58 15 1.7 2.9 0.7 8 8 0 0.2 0.4 0<br />

Oropharynx 16 15 * 0.4 0.8 * 9 7 * 0.2 0.4 0.1<br />

Hypopharynx 39 31 8 0.9 1.7 0.4 * * 0 * * 0<br />

Other Oral Cavity<br />

and Pharynx<br />

18 9 9 0.4 0.5 0.4 32 24 8 0.7 1.3 0.3<br />

Digestive System 3,842 2,072 1,770 93.6 118.4 74.8 1,906 1,021 885 46.5 59.8 36.5<br />

Esophagus 235 166 69 5.8 9.3 3.0 194 151 43 4.7 8.7 1.8<br />

Stomach 343 210 133 8.3 12.2 5.5 167 85 82 4.0 5.1 3.3<br />

Small Intestine 94 49 45 2.2 2.6 1.9 20 11 9 0.5 0.6 0.4<br />

Colon and Rectum 2,072 1,051 1,021 50.7 61.1 43.2 727 352 375 17.7 21.3 15.2<br />

Colon excluding Rectum 1,485 725 760 36.3 42.8 32.0 641 305 336 15.6 18.5 13.7<br />

Cecum 336 138 198 8.2 8.3 8.3 † † † † † †<br />

Appendix 23 7 16 0.5 0.4 0.7 † † † † † †<br />

Ascending Colon 310 153 157 7.5 9.1 6.6 † † † † † †<br />

Hepatic Flexure 75 40 35 1.9 2.3 1.5 † † † † † †<br />

Transverse Colon 122 61 61 3.0 3.5 2.5 † † † † † †<br />

Splenic Flexure 60 31 29 1.5 1.9 1.2 † † † † † †<br />

Descending Colon 94 51 43 2.3 3.0 1.9 † † † † † †<br />

Sigmoid Colon 385 202 183 9.5 11.7 7.8 † † † † † †<br />

Large Intestine, NOS 80 42 38 2.0 2.6 1.6 † † † † † †<br />

Rectum and<br />

Rectosigmoid Junction<br />

587 326 261 14.3 18.4 11.2 86 47 39 2.1 2.8 1.5<br />

Rectosigmoid Junction 206 112 94 5.1 6.4 4.1 † † † † † †<br />

Rectum 381 214 167 9.2 12.0 7.1 † † † † † †<br />

Anus, Anal Canal<br />

and Anorectum 65 28 37 1.6 1.5 1.6 8 * * 0.2 * *<br />

Liver and<br />

Intrahepatic Bile Duct<br />

285 199 86 6.8 10.6 3.7 237 138 99 5.7 7.5 4.2<br />

Liver 268 194 74 6.4 10.3 3.2 192 116 76 4.6 6.3 3.2<br />

Intrahepatic Bile Duct 17 * 12 0.4 * 0.5 45 22 23 1.1 1.3 1.0<br />

Gallbladder 57 12 45 1.4 0.7 1.9 30 7 23 0.8 0.4 1.0<br />

Other Biliary 64 38 26 1.5 2.2 1.0 26 13 13 0.7 0.8 0.5<br />

Pancreas 553 292 261 13.5 16.6 10.9 465 241 224 11.4 14.0 9.4<br />

Retroperitoneum 22 11 11 0.5 0.6 0.5 * * 0 * * 0.0<br />

Peritoneum, Omentum<br />

and Mesentery<br />

26 * 23 0.6 * 1.0 10 * 7 0.2 * 0.3<br />

Other Digestive Organs 26 13 13 0.6 0.7 0.5 19 12 7 0.5 0.7 0.3<br />

Respiratory System 3,451 1,857 1,594 85.7 108.2 70.0 2,334 1,295 1,039 57.9 76.4 45.0<br />

Nose, Nasal Cavity<br />

and Middle Ear<br />

33 22 11 0.8 1.2 0.5 * * * * * *<br />

Larynx 215 164 51 5.2 9.1 2.3 63 53 10 1.5 2.9 0.5<br />

Lung and Bronchus 3,150 1,628 1,522 78.3 95.2 66.8 2,262 1,237 1,025 56.1 73.1 44.4<br />

Pleura 38 33 * 1.0 2.0 * * * 0 * * 0.0<br />

Trachea, Mediastinum and<br />

Other Respiratory Organs<br />

15 10 * 0.4 0.6 * * * * * * *<br />

Bones and Joints 41 22 19 1.0 1.1 0.8 23 14 9 0.6 0.7 0.4<br />

Soft Tissue including Heart 123 64 59 3.0 3.6 2.6 53 24 29 1.3 1.5 1.2<br />

Skin excluding Basal<br />

and Squamous<br />

693 380 313 17.0 21.3 14.3 99 71 28 2.4 4.2 1.2<br />

Melanoma of the Skin 619 345 274 15.2 19.2 12.6 75 53 22 1.8 3.1 0.9<br />

Other Non-Epithelial Skin 74 35 39 1.8 2.1 1.7 24 18 6 0.6 1.1 0.2<br />

Breast 2,904 31 2,873 69.7 1.7 126.0 606 * 602 14.7 * 25.8


All Races Incidence Rate Mortality Rate<br />

total Male Female Total Male Female Total Male Female Total Male Female<br />

Female Genital System 1,170 0 1,170 28.2 0.0 51.4 379 0 379 9.3 0.0 16.2<br />

Cervix Uteri 170 0 170 4.1 0.0 7.8 58 0 58 1.4 0.0 2.6<br />

Corpus and Uterus, NOS 612 0 612 14.8 0.0 26.8 117 0 117 2.9 0.0 5.0<br />

Corpus Uteri 588 0 588 14.2 0.0 25.8 47 0 47 1.2 0.0 2.1<br />

Uterus, NOS 24 0 24 0.6 0.0 1.1 70 0 70 1.7 0.0 3.0<br />

Ovary 295 0 295 7.1 0.0 12.7 183 0 183 4.4 0.0 7.8<br />

Vagina 23 0 23 0.6 0.0 1.0 7 0 7 0.2 0.0 0.3<br />

Vulva 58 0 58 1.4 0.0 2.5 11 0 11 0.3 0.0 0.4<br />

Other Female Genital Organs 12 0 12 0.3 0.0 0.5 * 0 * * 0.0 *<br />

Male Genital System 3,592 3,592 0 88.4 203.8 0.0 398 398 0 9.7 25.6 0.0<br />

Prostate 3,458 3,458 0 85.1 196.6 0.0 389 389 0 9.4 25.1 0.0<br />

Testis 110 110 0 2.8 5.6 0.0 6 6 0 0.1 0.3 0.0<br />

Penis 17 17 0 0.4 1.1 0.0 * * 0 * * 0.0<br />

Other Male Genital Organs 7 7 0 0.2 0.4 0.0 0 0 0 0.0 0.0 0.0<br />

Urinary System 1,560 1,046 514 38.2 60.9 22.1 303 207 96 7.3 12.4 3.9<br />

Urinary Bladder 905 665 240 22.4 39.9 10.2 142 104 38 3.4 6.6 1.5<br />

Kidney and Renal Pelvis 620 360 260 15.0 19.7 11.3 157 101 56 3.8 5.6 2.3<br />

Ureter 21 13 8 0.5 0.9 0.3 * * 0 * * 0.0<br />

Other Urinary Organs 14 8 6 0.3 0.5 0.2 * 0 * * 0.0 *<br />

Eye and Orbit 26 14 12 0.6 0.8 0.6 * * 0 * * 0.0<br />

Brain and Other<br />

Nervous System<br />

254 137 117 6.2 7.3 5.3 155 86 69 3.8 4.7 3.0<br />

Brain 229 124 105 5.6 6.6 4.8 † † † † † †<br />

Cranial Nerves Other<br />

Nervous System<br />

25 13 12 0.6 0.7 0.5 † † † † † †<br />

Endocrine System 404 115 289 9.9 6.1 13.6 29 17 12 0.7 0.9 0.5<br />

Thyroid 372 99 273 9.1 5.2 12.8 16 7 9 0.4 0.4 0.4<br />

Other Endocrine<br />

including Thymus<br />

32 16 16 0.8 0.9 0.8 13 10 * 0.3 0.5 *<br />

Lymphoma 1,056 528 528 25.9 29.3 23.3 309 172 137 7.5 10.3 5.7<br />

Hodgkin’s Lymphoma 131 56 75 3.3 2.9 3.7 19 14 * 0.5 0.8 *<br />

Hodgkin’s - Nodal 129 55 74 3.3 2.9 3.7 † † † † † †<br />

Hodgkin’s - Extranodal * * * * * * † † † † † †<br />

Non-Hodgkin’s<br />

Lymphoma (NHL)<br />

925 472 453 22.6 26.3 19.6 290 158 132 7.1 9.5 5.5<br />

NHL - Nodal 611 298 313 14.9 16.7 13.6 † † † † † †<br />

NHL - Extranodal 314 174 140 7.6 9.6 6.1 † † † † † †<br />

Myeloma 271 153 118 6.7 8.9 5.1 161 90 71 4.0 5.4 3.0<br />

Leukemia 560 324 236 13.8 18.6 10.2 316 180 136 7.8 10.9 5.7<br />

Lymphocytic Leukemia 256 163 93 6.3 9.3 4.0 95 59 36 2.3 3.5 1.4<br />

Acute Lymphocytic<br />

Leukemia<br />

45 25 20 1.1 1.3 1.0 15 9 6 0.4 0.5 0.3<br />

Chronic Lymphocytic<br />

Leukemia<br />

191 125 66 4.7 7.3 2.8 77 49 28 1.9 3.0 1.1<br />

Other Lymphocytic<br />

Leukemia<br />

20 13 7 0.5 0.7 0.3 * * * * * *<br />

Myeloid and Monocytic<br />

Leukemia<br />

260 147 113 6.4 8.4 4.9 131 78 53 3.3 4.7 2.3<br />

Acute Myeloid Leukemia 147 83 64 3.6 4.8 2.8 105 63 42 2.6 3.7 1.9<br />

Acute Monocytic Leukemia 12 * 7 0.3 * 0.3 * * 0 * * 0.0<br />

Chronic Myeloid Leukemia 86 51 35 2.1 2.9 1.5 14 6 8 0.3 0.3 0.3<br />

Other Myeloid/Monocytic<br />

Leukemia<br />

15 8 7 0.4 0.4 0.3 11 8 * 0.3 0.5 *<br />

Other Leukemia 44 14 30 1.1 0.9 1.3 90 43 47 2.2 2.8 1.9<br />

Other Acute Leukemia 12 6 6 0.3 0.4 0.2 40 20 20 1.0 1.3 0.8<br />

Aleukemic, Subleukemic<br />

and NOS 32 8 24 0.8 0.5 1.1 50 23 27 1.2 1.5 1.1<br />

Miscellaneous 370 165 205 8.8 9.4 8.4 574 285 289 13.9 16.7 11.8<br />

9<br />

Rates are per 100,000 and age-adjusted to the 2000 US Std Population (19 age groups - Census P25-1130) standard.<br />

† Not reported * Statistic not displayed due to fewer than 6 cases.<br />

Source: Surveillance, Epidemiology, and End Results (SEER) Program (www.seer.cancer.gov) SEER*Stat Database. Underlying mortality data provided by NCHS (www.cdc.gov/nchs).


Caucasian<br />

<strong>Cancer</strong> Incidence, Mortality and Age Adjusted Rates per 100,000<br />

Population by Site, Race and Sex, Metropolitan Detroit, 2004<br />

10<br />

Caucasian Incidence Rate Mortality Rate<br />

total Male Female Total Male Female Total Male Female Total Male Female<br />

All Sites (Invasive) 15,725 8,088 7,637 502.6 593.4 443.1 5,750 2,905 2,845 180.9 220.5 155.4<br />

Oral Cavity and Pharynx 358 252 106 11.3 17.5 6.2 84 63 21 2.6 4.6 1.2<br />

Lip 15 9 6 0.5 0.7 0.3 0 0 0 0.0 0.0 0.0<br />

Tongue 101 77 24 3.2 5.3 1.4 20 15 * 0.6 1.1 *<br />

Salivary Gland 40 16 24 1.3 1.2 1.4 * * * * * *<br />

Floor of Mouth 26 19 7 0.8 1.2 0.4 * * 0 * * 0.0<br />

Gum and Other Mouth 55 38 17 1.8 2.8 1.0 13 8 * 0.4 0.6 *<br />

Nasopharynx 18 12 6 0.6 0.8 0.4 8 * * 0.3 * *<br />

Tonsil 56 43 13 1.7 2.8 0.8 6 6 0 0.2 0.4 0.0<br />

Oropharynx 9 8 * 0.3 0.5 * 6 6 0 0.2 0.5 0.0<br />

Hypopharynx 27 23 * 0.9 1.7 * * * 0 * * 0.0<br />

Other Oral Cavity<br />

and Pharynx<br />

11 7 * 0.3 0.5 * 22 17 * 0.7 1.2 *<br />

Digestive System 2,783 1,494 1,289 87.7 109.8 70.5 1,392 731 661 43.4 54.8 34.7<br />

Esophagus 175 127 48 5.6 9.2 2.7 158 125 33 5.0 9.1 1.7<br />

Stomach 248 153 95 7.8 11.3 5.1 108 51 57 3.4 3.9 3.0<br />

Small Intestine 58 28 30 1.8 1.9 1.7 13 7 6 0.4 0.5 0.3<br />

Colon and Rectum 1,512 773 739 47.7 57.5 40.5 530 251 279 16.4 19.3 14.3<br />

Colon excluding Rectum 1,063 520 543 33.4 39.1 29.4 464 215 249 14.4 16.5 12.8<br />

Cecum 235 94 141 7.3 7.3 7.5 † † † † † †<br />

Appendix 20 6 14 0.6 0.4 0.8 † † † † † †<br />

Ascending Colon 216 106 110 6.7 8.0 5.8 † † † † † †<br />

Hepatic Flexure 56 27 29 1.8 2.0 1.6 † † † † † †<br />

Transverse Colon 86 43 43 2.7 3.1 2.2 † † † † † †<br />

Splenic Flexure 38 19 19 1.2 1.5 1.0 † † † † † †<br />

Descending Colon 65 38 27 2.1 2.8 1.6 † † † † † †<br />

Sigmoid Colon 287 155 132 9.1 11.4 7.3 † † † † † †<br />

Large Intestine, NOS 60 32 28 1.9 2.5 1.5 † † † † † †<br />

Rectum and<br />

Rectosigmoid Junction<br />

449 253 196 14.3 18.4 11.1 66 36 30 2.0 2.7 1.5<br />

Rectosigmoid Junction 160 81 79 5.2 6.1 4.5 † † † † † †<br />

Rectum 289 172 117 9.1 12.3 6.6 † † † † † †<br />

Anus, Anal Canal and<br />

Anorectum<br />

47 17 30 1.5 1.2 1.7 7 * * 0.2 * *<br />

Liver and Intrahepatic<br />

Bile Duct<br />

179 123 56 5.7 8.8 3.2 160 86 74 5.0 6.2 4.1<br />

Liver 166 120 46 5.2 8.6 2.6 127 71 56 4.0 5.1 3.0<br />

Intrahepatic Bile Duct 13 * 10 0.4 * 0.6 33 15 18 1.0 1.1 1.0<br />

Gallbladder 44 8 36 1.4 0.6 1.9 26 7 19 0.8 0.6 1.0<br />

Other Biliary 49 28 21 1.5 2.1 1.1 20 9 11 0.6 0.7 0.6<br />

Pancreas 411 215 196 12.9 15.6 10.5 345 177 168 10.8 13.1 8.9<br />

Retroperitoneum 19 10 9 0.6 0.7 0.6 * * 0 * * 0.0<br />

Peritoneum, Omentum<br />

and Mesentery<br />

22 * 19 0.7 * 1.1 9 * 6 0.3 * 0.4<br />

Other Digestive Organs 19 9 10 0.6 0.7 0.5 14 9 * 0.4 0.7 *<br />

Respiratory System 2,623 1,388 1,235 84.6 103.9 71.1 1,743 937 806 55.7 70.9 45.5<br />

Nose, Nasal Cavity<br />

and Middle Ear<br />

25 14 11 0.8 1.0 0.7 * * * * * *<br />

Larynx 145 112 33 4.6 8.0 2.0 43 38 * 1.4 2.7 *<br />

Lung and Bronchus 2,409 1,225 1,184 77.7 92.0 68.1 1,691 894 797 54.1 67.8 45.0<br />

Pleura 32 28 * 1.0 2.2 * * * 0 * * 0.0<br />

Trachea, Mediastinum and<br />

Other Respiratory Organs<br />

12 9 * 0.4 0.7 * * * * * * *<br />

Bones and Joints 30 17 13 1.0 1.2 0.8 15 9 6 0.5 0.6 0.4<br />

Soft Tissue including Heart 90 48 42 3.0 3.5 2.6 41 20 21 1.3 1.5 1.1<br />

Skin excluding Basal<br />

and Squamous 662 365 297 21.7 26.5 18.9 95 69 26 3.0 5.2 1.5<br />

Melanoma of the Skin 602 340 262 19.8 24.5 16.9 73 53 20 2.3 4.0 1.2<br />

Other Non-Epithelial Skin 60 25 35 1.9 2.0 2.1 22 16 6 0.7 1.2 0.3<br />

Breast 2,221 23 2,198 70.1 1.6 128.9 415 * 411 13.0 * 22.9


Caucasian Incidence Rate Mortality Rate<br />

Total Male Female Total Male Female Total Male Female Total Male Female<br />

Female Genital System 895 0 895 28.4 0.0 52.6 273 0 273 8.5 0.0 15.1<br />

Cervix Uteri 98 0 98 3.3 0.0 6.4 35 0 35 1.1 0.0 2.1<br />

Corpus and Uterus, NOS 491 0 491 15.5 0.0 28.7 81 0 81 2.5 0.0 4.4<br />

Corpus Uteri 474 0 474 14.9 0.0 27.6 31 0 31 1.0 0.0 1.7<br />

Uterus, NOS 17 0 17 0.5 0.0 1.0 50 0 50 1.5 0.0 2.7<br />

Ovary 236 0 236 7.4 0.0 13.6 141 0 141 4.4 0.0 7.7<br />

Vagina 14 0 14 0.4 0.0 0.8 6 0 6 0.2 0.0 0.3<br />

Vulva 45 0 45 1.4 0.0 2.6 8 0 8 0.2 0.0 0.4<br />

Other Female Genital Organs 11 0 11 0.3 0.0 0.6 * 0 * * 0.0 *<br />

Male Genital System 2,499 2,499 0 80.4 182.3 0.0 252 252 0 7.7 20.4 0.0<br />

Prostate 2,378 2,378 0 76.1 173.4 0.0 244 244 0 7.4 19.8 0.0<br />

Testis 103 103 0 3.8 7.4 0.0 6 6 0 0.2 0.4 0.0<br />

Penis 11 11 0 0.4 0.8 0.0 * * 0 * * 0.0<br />

Other Male Genital Organs 7 7 0 0.2 0.6 0.0 0 0 0 0.0 0.0 0.0<br />

Urinary System 1,289 882 407 40.9 65.7 22.9 247 174 73 7.6 13.2 3.8<br />

Urinary Bladder 785 588 197 25.0 44.7 10.9 115 88 27 3.5 7.0 1.3<br />

Kidney and Renal Pelvis 475 276 199 15.0 19.5 11.4 128 84 44 4.0 6.0 2.4<br />

Ureter 20 12 8 0.6 1.0 0.4 * * 0 * * 0.0<br />

Other Urinary Organs 9 6 * 0.3 0.5 * * 0 * * 0.0 *<br />

Eye and Orbit 24 13 11 0.8 0.9 0.8 * * 0 * * 0.0<br />

Brain and Other<br />

Nervous System<br />

202 112 90 6.7 8.0 5.5 126 74 52 4.0 5.2 3.0<br />

Brain 189 106 83 6.3 7.5 5.1 † † † † † †<br />

Cranial Nerves Other<br />

Nervous System 13 6 7 0.4 0.4 0.4 † † † † † †<br />

Endocrine System 326 96 230 10.9 6.6 15.3 21 13 8 0.7 0.9 0.4<br />

Thyroid 302 83 219 10.1 5.7 14.6 14 6 8 0.4 0.4 0.4<br />

Other Endocrine<br />

including Thymus 24 13 11 0.8 0.9 0.7 7 7 0 0.2 0.5 0.0<br />

Lymphoma 847 423 424 27.3 30.6 24.8 262 148 114 8.2 11.2 6.1<br />

Hodgkin’s Lymphoma 103 44 59 3.7 3.2 4.2 15 11 * 0.5 0.8 *<br />

Hodgkin’s - Nodal 102 43 59 3.6 3.1 4.2 † † † † † †<br />

Hodgkin’s - Extranodal * * 0 * * 0.0 † † † † † †<br />

Non-Hodgkin’s<br />

Lymphoma (NHL) 744 379 365 23.7 27.5 20.6 247 137 110 7.7 10.4 5.9<br />

NHL - Nodal 483 233 250 15.4 17.0 14.0 † † † † † †<br />

NHL - Extranodal 261 146 115 8.3 10.5 6.6 † † † † † †<br />

Myeloma 163 99 64 5.2 7.4 3.6 96 53 43 3.0 4.2 2.3<br />

Leukemia 432 248 184 14.0 18.6 10.5 257 143 114 8.2 11.1 6.1<br />

Lymphocytic Leukemia 197 126 71 6.4 9.4 4.0 74 47 27 2.3 3.6 1.3<br />

Acute Lymphocytic<br />

Leukemia<br />

33 23 10 1.2 1.7 0.7 10 6 * 0.3 0.4 *<br />

Chronic Lymphocytic<br />

Leukemia<br />

150 94 56 4.8 7.0 3.1 61 40 21 1.9 3.1 1.0<br />

Other Lymphocytic<br />

Leukemia<br />

14 9 * 0.5 0.7 * * * * * * *<br />

Myeloid and Monocytic<br />

Leukemia<br />

206 114 92 6.7 8.5 5.4 111 63 48 3.6 4.9 2.8<br />

Acute Myeloid Leukemia 118 64 54 3.8 4.8 3.2 89 51 38 2.9 3.9 2.2<br />

Acute Monocytic Leukemia 12 * 7 0.4 * 0.4 * * 0 * * 0.0<br />

Chronic Myeloid Leukemia 67 40 27 2.2 2.9 1.6 10 * 7 0.3 * 0.4<br />

Other Myeloid/Monocytic<br />

Leukemia<br />

9 * * 0.3 * * 11 8 * 0.4 0.7 *<br />

Other Leukemia 29 8 21 0.9 0.7 1.1 72 33 39 2.2 2.7 2.0<br />

Other Acute Leukemia 8 * * 0.3 * * 33 16 17 1.0 1.3 0.9<br />

Aleukemic, Subleukemic<br />

and NOS 21 * 16 0.7 * 0.9 39 17 22 1.2 1.4 1.1<br />

Miscellaneous 281 129 152 8.7 9.3 8.1 427 211 216 13.4 16.0 11.3<br />

11<br />

Rates are per 100,000 and age-adjusted to the 2000 US Std Population (19 age groups - Census P25-1130) standard.<br />

† Not reported * Statistic not displayed due to fewer than 6 cases.<br />

Source: Surveillance, Epidemiology, and End Results (SEER) Program (www.seer.cancer.gov) SEER*Stat Database. Underlying mortality data provided by NCHS (www.cdc.gov/nchs).


African-American<br />

<strong>Cancer</strong> Incidence, Mortality and Age Adjusted Rates per 100,000<br />

Population by Site, Race and Sex, Metropolitan Detroit, 2004<br />

12<br />

African-American Incidence Rate Mortality Rate<br />

Total Male Female Total Male Female Total Male Female Total Male Female<br />

All Sites (Invasive) 4,614 2,465 2,149 537.5 712.8 422.3 1,930 999 931 233.3 305.3 188.4<br />

Oral Cavity and Pharynx 98 68 30 10.5 17.1 5.6 34 25 9 3.8 6.9 1.7<br />

Lip * * 0 * * 0.0 * * 0 * * 0.0<br />

Tongue 22 15 7 2.3 3.8 1.3 * * * * * *<br />

Salivary Gland * * * * * * * 0 * * 0.0 *<br />

Floor of Mouth 12 8 * 1.2 1.8 * * * 0 * * 0.0<br />

Gum and Other Mouth 12 7 * 1.3 1.7 * * * * * * *<br />

Nasopharynx * * * * * * * * 0 * * 0.0<br />

Tonsil 17 15 * 1.7 3.5 * * * 0 * * 0.0<br />

Oropharynx 7 7 0 0.8 1.8 0.0 * * * * * *<br />

Hypopharynx 12 8 * 1.3 2.1 * * * 0 * * 0.0<br />

Other Oral Cavity<br />

and Pharynx 7 * * 0.7 * * 10 7 * 1.1 1.8 *<br />

Digestive System 991 539 452 117.8 156.6 91.0 485 272 213 59.3 82.2 43.8<br />

Esophagus 58 37 21 6.7 10.2 4.2 36 26 10 4.2 7.6 1.9<br />

Stomach 89 52 37 10.7 15.7 7.5 54 30 24 6.7 9.7 4.9<br />

Small Intestine 36 21 15 4.2 5.7 3.0 7 * * 0.8 * *<br />

Colon and Rectum 528 261 267 63.6 78.9 53.8 190 97 93 23.7 31.2 19.2<br />

Colon excluding Rectum 399 193 206 48.4 59.6 41.6 170 86 84 21.3 28.1 17.5<br />

Cecum 97 43 54 11.6 13.1 10.9 † † † † † †<br />

Appendix * * * * * * † † † † † †<br />

Ascending Colon 88 45 43 10.8 14.1 8.8 † † † † † †<br />

Hepatic Flexure 19 13 6 2.3 4.1 1.2 † † † † † †<br />

Transverse Colon 36 18 18 4.4 5.4 3.7 † † † † † †<br />

Splenic Flexure 21 11 10 2.7 3.5 2.2 † † † † † †<br />

Descending Colon 28 12 16 3.4 3.8 3.2 † † † † † †<br />

Sigmoid Colon 88 41 47 10.6 12.4 9.3 † † † † † †<br />

Large Intestine, NOS 19 9 10 2.3 2.8 2.0 † † † † † †<br />

Rectum and<br />

Rectosigmoid Junction<br />

129 68 61 15.2 19.3 12.2 20 11 9 2.4 3.2 1.8<br />

Rectosigmoid Junction 42 28 14 4.9 7.4 3.0 † † † † † †<br />

Rectum 87 40 47 10.3 11.9 9.2 † † † † † †<br />

Anus, Anal Canal<br />

and Anorectum<br />

18 11 7 2.1 2.8 1.4 * * 0 * * 0.0<br />

Liver and Intrahepatic<br />

Bile Duct<br />

92 68 24 10.0 17.2 4.6 67 45 22 7.7 11.7 4.5<br />

Liver 88 66 22 9.5 16.6 4.2 56 39 17 6.3 10.0 3.4<br />

Intrahepatic Bile Duct * * * * * * 11 6 * 1.4 1.8 *<br />

Gallbladder 11 * 8 1.3 * 1.6 * 0 * * 0.0 *<br />

Other Biliary 13 9 * 1.6 2.6 * 6 * * 0.8 * *<br />

Pancreas 133 72 61 16.3 21.4 12.6 114 61 53 14.1 18.1 11.1<br />

Retroperitoneum * * * * * * * * 0 * * 0.0<br />

Peritoneum, Omentum<br />

and Mesentery<br />

* 0 * * 0.0 * * 0 * * 0.0 *<br />

Other Digestive Organs 7 * * 0.7 * * * * * * * *<br />

Respiratory System 799 455 344 95.1 133.9 69.1 569 343 226 69.0 102.6 46.4<br />

Nose, Nasal Cavity<br />

and Middle Ear 7 7 0 0.9 2.1 0.0 0 0 0 0.0 0.0 0.0<br />

Larynx 65 48 17 7.5 13.9 3.3 19 14 * 2.3 4.1 *<br />

Lung and Bronchus 718 394 324 85.7 116.2 65.2 550 329 221 66.7 98.5 45.3<br />

Pleura 6 * * 0.7 * * 0 0 0 0.0 0.0 0.0<br />

Trachea, Mediastinum and<br />

Other Respiratory Organs<br />

* * * * * * 0 0 0 0.0 0.0 0.0<br />

Bones and Joints 11 * 6 1.2 * 1.1 8 * * 0.8 * *<br />

Soft Tissue including Heart 33 16 17 3.6 4.2 3.2 11 * 7 1.3 * 1.5<br />

Skin excluding Basal<br />

and Squamous<br />

15 7 8 1.6 1.7 1.5 * * * * * *<br />

Melanoma of the Skin * 0 * * 0.0 * * 0 * * 0.0 *<br />

Other Non-Epithelial Skin 11 7 * 1.1 1.7 * * * 0 * * 0.0<br />

Breast 629 6 623 70.3 1.4 120.2 181 0 181 20.9 0.0 35.5


African-American Incidence Rate Mortality Rate<br />

Total Male Female Total Male Female Total Male Female Total Male Female<br />

Female Genital System 257 0 257 28.7 0.0 49.6 103 0 103 12.5 0.0 21.0<br />

Cervix Uteri 68 0 68 7.0 0.0 12.4 23 0 23 2.6 0.0 4.5<br />

Corpus and Uterus, NOS 110 0 110 12.7 0.0 21.8 34 0 34 4.0 0.0 6.9<br />

Corpus Uteri 104 0 104 12.0 0.0 20.6 16 0 16 2.0 0.0 3.4<br />

Uterus, NOS 6 0 6 0.7 0.0 1.2 18 0 18 2.0 0.0 3.5<br />

Ovary 57 0 57 6.6 0.0 11.2 41 0 41 5.2 0.0 8.6<br />

Vagina 8 0 8 0.9 0.0 1.5 * 0 * * 0.0 *<br />

Vulva 13 0 13 1.4 0.0 2.4 * 0 * * 0.0 *<br />

Other Female Genital Organs * 0 * * 0.0 * * 0 * * 0.0 *<br />

Male Genital System 935 935 0 111.6 274.7 0.0 144 144 0 18.6 50.3 0.0<br />

Prostate 925 925 0 110.5 271.8 0.0 143 143 0 18.4 50.0 0.0<br />

Testis * * 0 * * 0.0 0 0 0 0.0 0.0 0.0<br />

Penis * * 0 * * 0.0 * * 0 * * 0.0<br />

Other Male Genital Organs 0 0 0 0.0 0.0 0.0 0 0 0 0.0 0.0 0.0<br />

Urinary System 250 151 99 29.6 43.9 20.0 52 29 23 6.4 8.7 4.8<br />

Urinary Bladder 106 68 38 13.0 21.3 7.9 26 15 11 3.3 4.9 2.3<br />

Kidney and Renal Pelvis 138 80 58 15.8 21.6 11.5 26 14 12 3.1 3.9 2.5<br />

Ureter * * 0 * * 0.0 0 0 0 0.0 0.0 0.0<br />

Other Urinary Organs * * * * * * 0 0 0 0.0 0.0 0.0<br />

Eye and Orbit * * 0 * * 0.0 0 0 0 0.0 0.0 0.0<br />

Brain and Other<br />

Nervous System<br />

44 19 25 4.8 4.7 4.9 28 11 17 3.3 3.0 3.5<br />

Brain 32 12 20 3.4 2.8 3.9 † † † † † †<br />

Cranial Nerves Other<br />

Nervous System 12 7 * 1.4 1.9 * † † † † † †<br />

Endocrine System 66 14 52 7.0 3.5 9.7 8 * * 0.9 * *<br />

Thyroid 58 11 47 6.1 2.8 8.8 * * * * * *<br />

Other Endocrine<br />

including Thymus 8 * * 0.8 * * 6 * * 0.6 * *<br />

Lymphoma 188 96 92 20.8 25.0 17.9 44 22 22 5.2 6.9 4.2<br />

Hodgkin’s Lymphoma 25 10 15 2.5 2.1 2.9 * * * * * *<br />

Hodgkin’s - Nodal 24 10 14 2.4 2.1 2.7 † † † † † †<br />

Hodgkin’s - Extranodal * 0 * * 0.0 * † † † † † †<br />

Non-Hodgkin’s<br />

Lymphoma (NHL) 163 86 77 18.2 22.9 15.1 41 20 21 4.9 6.3 4.1<br />

NHL - Nodal 117 60 57 13.1 16.3 11.1 † † † † † †<br />

NHL - Extranodal 46 26 20 5.1 6.6 4.0 † † † † † †<br />

Myeloma 103 52 51 12.5 15.5 10.6 64 36 28 7.9 10.9 5.9<br />

Leukemia 110 66 44 12.5 18.9 8.4 56 34 22 6.6 10.3 4.3<br />

Lymphocytic Leukemia 46 31 15 5.3 8.9 2.8 20 11 9 2.3 3.3 1.7<br />

Acute Lymphocytic<br />

Leukemia 9 * 7 0.9 * 1.3 * * * * * *<br />

Chronic Lymphocytic<br />

Leukemia 32 25 7 3.8 7.5 1.4 15 8 7 1.9 2.7 1.4<br />

Other Lymphocytic<br />

Leukemia * * * * * * 0 0 0 0.0 0.0 0.0<br />

Myeloid and Monocytic<br />

Leukemia 50 30 20 5.8 8.5 4.0 18 13 * 2.1 3.6 *<br />

Acute Myeloid Leukemia 26 17 9 3.0 5.0 1.8 15 11 * 1.7 3.2 *<br />

Acute Monocytic Leukemia 0 0 0 0.0 0.0 0.0 0 0 0 0.0 0.0 0.0<br />

Chronic Myeloid Leukemia 18 10 8 2.1 2.7 1.6 * * * * * *<br />

Other Myeloid/Monocytic<br />

Leukemia 6 * * 0.7 * * 0 0 0 0.0 0.0 0.0<br />

Other Leukemia 14 * 9 1.4 * 1.6 18 10 8 2.3 3.4 1.6<br />

Other Acute Leukemia * * * * * * 7 * * 0.9 * *<br />

Aleukemic, Subleukemic<br />

and NOS 10 * 8 1.0 * 1.4 11 6 * 1.4 2.0 *<br />

Miscellaneous 84 35 49 10.0 10.3 9.7 139 68 71 16.3 19.6 13.9<br />

13<br />

Rates are per 100,000 and age-adjusted to the 2000 US Std Population (19 age groups - Census P25-1130) standard.<br />

† Not reported * Statistic not displayed due to fewer than 6 cases.<br />

Source: Surveillance, Epidemiology, and End Results (SEER) Program (www.seer.cancer.gov) SEER*Stat Database. Underlying mortality data provided by NCHS (www.cdc.gov/nchs).


Survival Analysis of Prostate <strong>Cancer</strong> by Stage<br />

Over the past 29 years, the<br />

treatment of men with prostate<br />

cancer diagnosed at an early<br />

stage has improved tremendously.<br />

In the tri-county area,<br />

the current five-year relative<br />

survival for men diagnosed with<br />

local stage prostate cancer is<br />

near 100%. Dramatic improvement<br />

in survival of men with<br />

prostate cancer that is diagnosed<br />

after it has spread to<br />

other parts of the body has not<br />

been seen. The five-year relative<br />

survival for men diagnosed<br />

with distant stage disease has<br />

fluctuated for the last 29 years<br />

between 20-38%.<br />

Armed with successful treatment<br />

for early stage disease,<br />

there has been a concerted<br />

effort to identify these cancers<br />

while they are in local stage.<br />

There has been success in this<br />

effort mainly due to the use of<br />

the prostate-specific antigen<br />

(PSA) blood test. Currently,<br />

about 95% of the men who are<br />

newly diagnosed with prostate<br />

cancer in the tri-county area are<br />

diagnosed at local or regional<br />

stages. The PSA blood test is<br />

usually given to men when they<br />

turn 50, and younger if they<br />

are at high risk. A few of the<br />

risk factors for developing the<br />

disease are age, race (African<br />

American), and family history<br />

(men with close blood relatives<br />

such as fathers or brothers who<br />

have been diagnosed with the<br />

disease).<br />

Localized/Regional<br />

Distant<br />

14<br />

100<br />

Invasive Prostate <strong>Cancer</strong> – Caucasian Males<br />

Stage Distribution 1972-2004 Metropolitan Detroit<br />

Invasive Prostate <strong>Cancer</strong> – African-American Males<br />

Stage Distribution 1973-2004 Metropolitan Detroit<br />

100<br />

80<br />

100<br />

PERCENTAGE PERCENTAGE<br />

80<br />

60<br />

60<br />

40<br />

40<br />

20<br />

PERCENTAGE<br />

80<br />

60<br />

40<br />

20<br />

20<br />

1975 1980<br />

2000<br />

1975<br />

1980 1985 1990 1995 2000<br />

YEAR DIAGNOSED - 3 YEAR MOVING AVERAGE<br />

1975 1980 1985 1990 1995<br />

YEAR DIAGNOSED - 3 YEAR MOVING AVERAGE<br />

2000<br />

100<br />

100<br />

80<br />

5-Year Relative Survival Rates for Prostate <strong>Cancer</strong> –<br />

Caucasian Males by Stage, 1973-2004 Metropolitan Detroit<br />

5 -Year Relative Survival Rates for Prostate <strong>Cancer</strong> –<br />

African-American Males by Stage, 1973-2004 Metropolitan Detroit<br />

100<br />

PERCENTAGE PERCENTAGE<br />

80<br />

60<br />

60<br />

40<br />

40<br />

20<br />

PERCENTAGE<br />

80<br />

60<br />

40<br />

20<br />

20<br />

1975 1980<br />

2000<br />

1975<br />

1980 1985 1990 1995 2000<br />

YEAR DIAGNOSED - 3 YEAR MOVING AVERAGE<br />

1975 1980 1985 1990 1995<br />

YEAR DIAGNOSED - 3 YEAR MOVING AVERAGE<br />

2000


Survival Analysis of Female Breast <strong>Cancer</strong> by Stage<br />

Both diagnosis and treatment<br />

for female breast cancer have<br />

improved greatly since 1973.<br />

Due to mammography screening,<br />

more cases are diagnosed<br />

at an earlier stage. Currently,<br />

five-year relative survival for<br />

cases diagnosed at local stage is<br />

95% for women in the general<br />

population. For women with<br />

regional stage disease, survival<br />

has also improved. For women<br />

diagnosed with late stage<br />

disease, survival has remained<br />

relatively steady, at 10-20% for<br />

women in the general population.<br />

African American women<br />

tend to have a higher proportion<br />

of late stage diagnoses and<br />

five-year survival, regardless of<br />

stage, tends to be poorer than<br />

for Caucasian women.<br />

Gender and age are the greatest<br />

risk factors for developing<br />

breast cancer. Breast cancer<br />

can strike men and women<br />

both, but women are many<br />

times more likely to develop<br />

the disease than men. A family<br />

history of breast cancer has<br />

also been linked to increasing a<br />

woman’s likelihood of developing<br />

the disease. Gender, age,<br />

and family history are things<br />

that cannot be prevented,<br />

however women can increase<br />

their chances of surviving this<br />

disease by consulting with their<br />

physician, following recommended<br />

screening for their<br />

specific age and risk group, and<br />

by conducting monthly breast<br />

self-examinations starting at<br />

age 20. Women who are at an<br />

increased risk due to a family<br />

history should consult with<br />

their doctor about whether they<br />

should begin mammography<br />

screening at an earlier age than<br />

the recommended age of 40 and<br />

about the frequency of clinical<br />

breast examinations.<br />

Localized<br />

Regional<br />

Distant<br />

100<br />

Invasive Breast <strong>Cancer</strong> – Caucasian Females<br />

Stage Distribution 1973-2004 Metropolitan Detroit<br />

Invasive Breast <strong>Cancer</strong> – African-American Females<br />

Stage Distribution 1973-2002 Metropolitan Detroit<br />

15<br />

100<br />

80<br />

100<br />

PERCENTAGE PERCENTAGE<br />

80<br />

60<br />

60<br />

40<br />

40<br />

20<br />

PERCENTAGE<br />

80<br />

60<br />

40<br />

20<br />

20<br />

1975 1980<br />

1985 1990 1995 2000<br />

1975<br />

1980 1985 1990 1995 2000<br />

YEAR DIAGNOSED - 3 YEAR MOVING AVERAGE<br />

1975 1980 1985 1990 1995 2000<br />

YEAR DIAGNOSED - 3 YEAR MOVING AVERAGE<br />

5-Year Relative Survival Rates for Breast <strong>Cancer</strong> –<br />

100Caucasian Females by Stage, 1973-2004 Metropolitan Detroit<br />

100<br />

80<br />

PERCENTAGE PERCENTAGE<br />

80<br />

60<br />

60<br />

40<br />

40<br />

20<br />

PERCENTAGE<br />

5-Year Relative Survival Rates for Breast <strong>Cancer</strong> –<br />

African-American Females by Stage, 1973-2004 Metropolitan Detroit<br />

100<br />

80<br />

60<br />

40<br />

20<br />

20<br />

1975 1980<br />

1985 1990 1995 2000<br />

1975<br />

1980 1985 1990 1995 2000<br />

YEAR DIAGNOSED - 3 YEAR MOVING AVERAGE<br />

1975 1980 1985 1990 1995 2000<br />

YEAR DIAGNOSED - 3 YEAR MOVING AVERAGE


Survival Analysis of Lung <strong>Cancer</strong> by Stage<br />

Diagnosis of lung cancer in<br />

local stage is difficult because<br />

symptoms usually do not appear<br />

until the disease is advanced.<br />

Only about 23% of lung cancers<br />

in Caucasians and 18-19% in<br />

African-Americans are diagnosed<br />

at the local stage. Most<br />

early stage lung cancer cases<br />

are diagnosed incidentally. The<br />

five-year survival rate for local<br />

stage cancer is less than 50% for<br />

the general population. The fiveyear<br />

survival for distant stage<br />

cancer is approximately 2%.<br />

An effective method for screening<br />

for lung cancer has not yet<br />

been developed although promising<br />

methods are being tested.<br />

When a new method is developed,<br />

the hope is that it will be<br />

as effective and universally used<br />

as mammography screening<br />

has been for breast cancer and<br />

the PSA blood test has been for<br />

prostate cancer.<br />

The major risk factor for lung<br />

cancer is tobacco smoking.<br />

The risk increases over time<br />

as a person continues to smoke.<br />

However, if a person is able<br />

to quit smoking before cancer<br />

has developed, the lung tissue<br />

can begin to repair itself. An<br />

ex-smoker can lower his risk of<br />

lung cancer, but his risk will still<br />

be higher than that of someone<br />

who has never smoked. Nonsmokers<br />

who are exposed to<br />

second hand smoke in the home<br />

or workplace are also at increased<br />

risk for developing lung<br />

cancer. Exposure to carcinogens<br />

in the workplace or the environment<br />

and having a family<br />

history of lung cancer have<br />

also been found to contribute<br />

to an increased risk for getting<br />

the disease.<br />

Localized<br />

Regional<br />

Distant<br />

16<br />

100<br />

Invasive Lung <strong>Cancer</strong> – Caucasian Population<br />

Stage Distribution 1973-2004 Metropolitan Detroit<br />

Invasive Lung <strong>Cancer</strong> – African-American Population<br />

Stage Distribution 1973-2004 Metropolitan Detroit<br />

100<br />

80<br />

100<br />

PERCENTAGE PERCENTAGE<br />

80<br />

60<br />

60<br />

40<br />

40<br />

20<br />

PERCENTAGE<br />

80<br />

60<br />

40<br />

20<br />

20<br />

1975 1980<br />

1985 1990 1995 2000<br />

1975<br />

1980 1985 1990 1995 2000<br />

YEAR DIAGNOSED - 3 YEAR MOVING AVERAGE<br />

1975 1980 1985 1990 1995<br />

YEAR DIAGNOSED - 3 YEAR MOVING AVERAGE<br />

2000<br />

5-Year Relative Survival Rates for Lung <strong>Cancer</strong> –<br />

100Caucasian Population by Stage, 1973-2004 Metropolitan Detroit<br />

100<br />

80<br />

PERCENTAGE PERCENTAGE<br />

80<br />

60<br />

60<br />

40<br />

40<br />

20<br />

PERCENTAGE<br />

100<br />

5-Year Relative Survival Rates for Lung <strong>Cancer</strong> –<br />

African-American Population by Stage, 1973-2004 Metropolitan Detroit<br />

80<br />

60<br />

40<br />

20<br />

20<br />

1975 1980<br />

1985 1990 1995 2000<br />

1975<br />

1980 1985 1990 1995 2000<br />

YEAR DIAGNOSED - 3 YEAR MOVING AVERAGE<br />

1975 1980 1985 1990 1995<br />

YEAR DIAGNOSED - 3 YEAR MOVING AVERAGE<br />

2000


Survival Analysis of Colorectal <strong>Cancer</strong> by Stage<br />

The five-year survival rate for<br />

colorectal cancer has gradually<br />

increased over the past 29 years<br />

for the general population.<br />

Currently, the five-year relative<br />

survival rate for local stage<br />

cancer is over 90% compared to<br />

73% in 1973. At distant stage,<br />

the five-year relative survival<br />

rate is over 10% compared to<br />

4% in 1973. This improved<br />

survival has been linked to improved<br />

early detection practices<br />

including the increased use of<br />

screening sigmoidoscopy.<br />

Age, family history, and diet<br />

are risk factors in developing<br />

colorectal cancer. The symptoms<br />

of colorectal cancer may mimic<br />

some other conditions such as<br />

hemorrhoids or inflammatory<br />

bowel disease. It is best to consult<br />

with a physician to determine<br />

the correct cause of the<br />

symptoms. Screening typically<br />

begins at age 50 for the general<br />

population. If there is family<br />

history of the disease, a patient<br />

needs to confer with their physician<br />

to discuss when screening<br />

should begin.<br />

Localized<br />

Regional<br />

Distant<br />

100<br />

Invasive Colorectal <strong>Cancer</strong> – Caucasian Population<br />

Stage Distribution 1973-2004 Metropolitan Detroit<br />

Invasive Colorectal <strong>Cancer</strong> – African-American Population<br />

Stage Distribution 1973-2004 Metropolitan Detroit<br />

17<br />

100<br />

80<br />

100<br />

PERCENTAGE PERCENTAGE<br />

80<br />

60<br />

60<br />

40<br />

40<br />

20<br />

PERCENTAGE<br />

80<br />

60<br />

40<br />

20<br />

20<br />

1975 1980<br />

1985 1990 1995 2000<br />

1975<br />

1980 1985 1990 1995 2000<br />

YEAR DIAGNOSED - 3 YEAR MOVING AVERAGE<br />

1975 1980 1985 1990 1995<br />

YEAR DIAGNOSED - 3 YEAR MOVING AVERAGE<br />

2000<br />

5-Year Relative Survival Rates for Colorectal <strong>Cancer</strong> –<br />

100Caucasian Population by Stage, 1973-2004 Metropolitan Detroit<br />

100<br />

80<br />

PERCENTAGE PERCENTAGE<br />

80<br />

60<br />

60<br />

40<br />

40<br />

20<br />

PERCENTAGE<br />

5-Year Relative Survival Rates for Colorectal <strong>Cancer</strong> –<br />

African-American Population by Stage, 1973-2004 Metropolitan Detroit<br />

100<br />

80<br />

60<br />

40<br />

20<br />

20<br />

1975 1980<br />

1985 1990 1995 2000<br />

1975<br />

1980 1985 1990 1995 2000<br />

YEAR DIAGNOSED - 3 YEAR MOVING AVERAGE<br />

1975 1980 1985 1990 1995<br />

YEAR DIAGNOSED - 3 YEAR MOVING AVERAGE<br />

2000


2007 Annual Scientific Conference of the North American<br />

Association of Central <strong>Cancer</strong> Registries (NAACCR)<br />

John J. Graff, PhD, MS<br />

18<br />

In June of 2007, the Metropolitan Detroit<br />

<strong>Cancer</strong> Surveillance System (MDCSS), Wayne<br />

State University School of Medicine (WSU-<br />

SOM), and the <strong>Karmanos</strong> <strong>Cancer</strong> <strong>Institute</strong><br />

hosted the Annual Conference for the North<br />

American Association of Central <strong>Cancer</strong> Registries<br />

(NAACCR). Dr. John Graff, a Co-Principal<br />

Investigator of the MDCSS and Assistant<br />

Professor at WSUSOM, was the Program Chair<br />

for the NAACCR Scientific Conference.<br />

The theme for the 2007 Conference was “<strong>Cancer</strong> Knows No Borders”,<br />

highlighting the international scope of NAACCR and its members as<br />

well as the integration of the numerous specialties and disciplines<br />

that are involved in cancer registration, treatment and research.<br />

Plenary session topics included: “Geographic Information Systems –<br />

Cartographies of <strong>Cancer</strong>”, “Determining Quality of <strong>Cancer</strong> Care Using<br />

<strong>Cancer</strong> Registry Data”, and “Interoperability of <strong>Cancer</strong> Registration<br />

Standards.” Other topics presented in the concurrent sessions<br />

of the Conference included: “Electronic Reporting”, “Data Quality<br />

Assurance”, “Collaborative Staging of <strong>Cancer</strong>”, “Rare <strong>Cancer</strong>s”, and<br />

many others. The final Conference program consisted of 11 plenary<br />

speakers, 91 concurrent session speakers and 50 poster presentations,<br />

and was attended by over 400 clinicians, scientists and cancer<br />

registration professionals.<br />

The Detroit Renaissance Marriott, location of the<br />

2007 NAACCR Annual Conference<br />

MDCSS investigators and their collaborators who<br />

presented at the 2007 NAACCR Conference<br />

Investigator<br />

Kendra Schwartz, MD, MSPH<br />

Cathryn H. Bock, PhD<br />

Allison Van Dyke<br />

Steven J. Katz, MD, MPH<br />

Monina Bartoces, PhD<br />

Nancy Lozon, BS, CTR<br />

George Dombi, PhD<br />

Title of Presentation<br />

Mammography Screening among<br />

Arab Immigrants<br />

High Degree of Accuracy in Census<br />

Tract Assignment within the MDCSS<br />

Race, Hormones & Menopausal<br />

Status as Risk Factors in Women<br />

with NSMLC<br />

Breaking the Mastectomy Over-<br />

Treatment Myth<br />

Quality of Life of Women with<br />

Cervical <strong>Cancer</strong><br />

SEER*DMS 1.5 Years Later<br />

Utilizing SEER*DMS Tables to<br />

Generate Monthly Hospital<br />

ACoS Follow-up Reports<br />

Dr. John Graff welcomes the NAACCR Annual Conference<br />

guests to Detroit<br />

The 2007 Detroit-based Conference was a record attendance for the<br />

NAACCR membership. The NAACCR Program Committee received<br />

rave reviews from all 2007 Conference attendees on the Detroit<br />

Riverfront Marriott location, the downtown Detroit experience and<br />

the overall Conference content.


Gender Differences in Lung <strong>Cancer</strong> Survival<br />

Investigator: Michele L. Cote, PhD<br />

Lung cancer is the leading cause of cancer<br />

death in the United States. 1 It is estimated that<br />

in 2005, 172,570 individuals in the United<br />

States were diagnosed with lung cancer, and<br />

163,510 died of the disease. 1 Men are more<br />

likely to be diagnosed with lung cancer than<br />

women. In 2002, the age-adjusted incidence<br />

rates of lung cancer were 77.8 cases per<br />

100,000 men, and 50.8 cases per 100,000<br />

women. 2 Only prostate cancer in men and breast cancer in women<br />

were diagnosed more often. Survival from lung cancer is poor, with<br />

a five-year survival rate of 13.6% for men and 17.5% in women<br />

from 1995-2001. 2 Approximately 6 in 10 individuals with lung<br />

cancer die within a year of diagnosis. 1 Survival is greater for women<br />

than for men at every stage of diagnosis. Little is known about<br />

gender-related differences in risk and survival.<br />

Current or former cigarette smoking remains the greatest risk<br />

factor for lung cancer development, yet women are more likely to<br />

report never smoking than men, and also tend to smoke less than<br />

their male counterparts. 3 Histologic type of lung cancer varies by<br />

gender as well, with women more likely to develop adenocarcinomas<br />

compared to men. 4 Evidence suggests these differences could be<br />

due, in part, to hormonal variation and exposure to estrogens. 5<br />

Women have higher circulating endogenous levels of estrogen compared<br />

to men, and are also exposed to synthetic estrogens through<br />

hormone replacement therapy and oral contraceptives. Estrogens<br />

can increase cell proliferation. 6 Estrogens may also increase lung<br />

cancer risk by modulating gene expression of other enzymes, particularly<br />

the polycyclic aromatic hydrocarbon metabolizing enzymes<br />

such as the cytochrome p450s. 7 Several other genes thought to<br />

increase risk of lung cancer, including the c-erbB2 receptor, are also<br />

activated by estrogens. 8 Cellular response to estrogens is mediated<br />

by estrogen receptors (ER). Two receptors, ER-α and ER-β, which<br />

are encoded by separate genes have been identified and are expressed<br />

in the lung. It is feasible that ER status plays a role in lung<br />

carcinogenesis, may impact survival, and may be a potential target<br />

for therapy.<br />

We have recently received funding by the National Lung <strong>Cancer</strong><br />

Partnership and the LUNGevity Foundation to examine the effect<br />

of ER expression on survival after a lung cancer diagnosis. We seek<br />

to clarify whether ER status and aromatase expression is associated<br />

with prognosis and may serve as therapeutic targets. Targeting<br />

hormone receptors has been successful in both chemoprevention<br />

and treatment in a variety of cancers. The role hormones play in<br />

lung cancer prognosis in humans has yet to be fully explored. These<br />

analyses will aid in the understanding of the underlying biological<br />

processes of lung cancer, and potentially lead to novel targets for<br />

treatment of lung cancer.<br />

PERCENTAGE<br />

25<br />

20<br />

15<br />

10<br />

5<br />

References:<br />

5 Year Relative Survival Rates for Lung <strong>Cancer</strong><br />

by Gender in Metropolitan Detroit, 1973 – 2004<br />

1975 1980 1985 1990 1995<br />

YEAR DIAGNOSED - 3 YEAR MOVING AVERAGE<br />

Female<br />

Male<br />

2000<br />

2000<br />

1. American <strong>Cancer</strong> Society I. Key <strong>Statistics</strong> for Lung <strong>Cancer</strong>, 2004<br />

2. Ries LAG EM, Kosary CL, Hankey BF, Miller BA, Clegg L, Mariotto A, Feuer EJ,<br />

Edwards BK (eds). SEER <strong>Cancer</strong> <strong>Statistics</strong> Review, 1975-2002. In: Ries LAG EM,<br />

Kosary CL, Hankey BF, Miller BA, Clegg L, Mariotto A, Fay MP, Feuer EJ, Edwards<br />

BK (eds). ed: National <strong>Cancer</strong> <strong>Institute</strong>. Bethesda, MD, 2005<br />

3. (CDC) CfDCaP. Behavioral Risk Factor Surveillance System Survey Data.<br />

In: Services USDoHaH, ed. Atlanta, Georgia, 2003<br />

4. Charloux A, Quoix E, Wolkove N, et al. The increasing incidence of lung<br />

adenocarcinoma: reality or artefact? A review of the epidemiology of lung<br />

adenocarcinoma. Int J Epidemiol 1997; 26:14-23.<br />

5. Taioli E, Wynder EL. Re: Endocrine factors and adenocarcinoma of the lung<br />

in women. J Natl <strong>Cancer</strong> Inst 1994; 86:869-870<br />

6. Ethier SP. Growth factor synthesis and human breast cancer progression.<br />

J Natl <strong>Cancer</strong> Inst 1995; 87:964-973<br />

7. Thomsen JS, Wang X, Hines RN, et al. Restoration of aryl hydrocarbon (Ah)<br />

responsiveness in MDA-MB-231 human breast cancer cells by transient expression<br />

of the estrogen receptor. Carcinogenesis 1994; 15:933-937<br />

8. Matsuda S, Kadowaki Y, Ichino M, et al. 17 beta-estradiol mimics ligand activity<br />

of the c-erbB2 protooncogene product. Proc Natl Acad Sci U S A 1993;<br />

90:10803-10807<br />

* Source: Surveillance, Epidemiology, and End Results (SEER) Program<br />

(www.seer.cancer.gov) SEER*Stat Database: Incidence - SEER 17 Regs Limited-Use,<br />

Nov 2006 Sub (1973-2004 varying) - Linked To County Attributes - Total U.S.,<br />

1969-2004 Counties, National <strong>Cancer</strong> <strong>Institute</strong>, DCCPS, Surveillance Research<br />

Program, <strong>Cancer</strong> <strong>Statistics</strong> Branch, released April 2007, based on the November<br />

2006 submission.<br />

19


<strong>Cancer</strong> in the Arab and Chaldean American Population<br />

in the Metropolitan Detroit Area<br />

Julie J. Ruterbusch, MPH and Kendra Schwartz, MD, MSPH (Principal Investigator)<br />

20<br />

The Detroit metropolitan area is home to one of the largest populations<br />

of people of Arab and Chaldean descent in the United States.<br />

Although Arab Americans are one of the fastest growing immigrant<br />

groups in this country, they are currently not recognized as a<br />

minority group by the government. In fact, people of Arab ancestry<br />

are often listed as Caucasians in census data and medical research<br />

databases. Thus, the cancer disease burden in the Arab community<br />

is unknown.<br />

To help address this problem, we have systematically compiled a<br />

database of Arab and Chaldean surnames. 1 We began the process<br />

of collecting Arab/Chaldean surnames using the Michigan Department<br />

of Community Health’s birth and death records. These<br />

records list the country of origin and we flagged surnames from<br />

the following countries and territories: Algeria, Bahrain, Djibouti,<br />

Egypt, Ethiopia, the Gaza Strip, Iraq, Jordan, Kuwait, Labanon,<br />

Libya, Morocco, North Africa, Oman, Palestine, Qatar, Saudi Arabia,<br />

Somalia, Sudan, Syria, Tunisia, United Arab Emirates, Yemen, and<br />

the Western Sahara. By working with several Arab and Chaldean<br />

community organizations, such as the Arab Community Center for<br />

Economic and Social Services, the Arab American and Chaldean<br />

Council, and the National Arab American Medical Association, we<br />

were able to obtain surnames (with no other identifiers) from their<br />

member lists. We also abstracted metropolitan Detroit telephone<br />

directories for both first and surnames. Our surname list has gone<br />

through rigorous reviews for accuracy and quality control measures<br />

indicate a 89.5% sensitivity at identifying Arab ancestry in the<br />

general public and a 100% negative predictive value when used to<br />

identify non-Arab names in the SEER registry.<br />

This surname database has been linked to the SEER population cancer<br />

registry to identify individuals who are likely of Arab descent.<br />

In 2004, there were 475 people with an Arab or Chaldean surname<br />

diagnosed with an invasive cancer in the Detroit metropolitan area.<br />

Using the entire cancer database from 1973-2004, we compared<br />

the ratio of specific cancer sites to all cancer sites between Arab/<br />

Chaldean Americans and Caucasians. As a population group, Arab/<br />

Chaldean Americans have a higher proportion of leukemia, multiple<br />

myeloma, gallbladder, liver, kidney, bladder, thyroid, and stomach<br />

cancer. They also have a lower proportion of melanoma, other<br />

cancers of the skin, esophagus, and oral cavity. In the table, these<br />

values are presented as proportional incidence ratios. A value over<br />

1 indicates a greater proportion of that specific cancer among Arab/<br />

Chaldean Americans, after adjusting for age.<br />

On the third Friday of every month, we meet in the morning to<br />

present and discuss current research issues related to the cancer<br />

burden in Arab Americans. All those interested in working in this<br />

area are invited to attend these meetings. For further information<br />

please contact Julie Ruterbusch (ruterbus@med.wayne.edu).<br />

Table 1 - <strong>Cancer</strong> cases identified by the Arab/Chaldean<br />

surname database from MDCSS for 1973-2004<br />

Male<br />

Female<br />

<strong>Cancer</strong> site Obs PIR CI Obs PIR CI<br />

Bones & Joints 21 1.13 0.70 - 1.73 18 1.33 0.79 - 2.11<br />

Brain 114 1.12 0.93 - 1.35 85 1.10 0.88 - 1.36<br />

Breast 18 1.65 0.98 - 2.61 1499 1.04 0.99 - 1.09<br />

Cervix Uteri - - - 131 0.85 0.71 - 1.01<br />

Colorectal 618 1.01 0.93 - 1.09 476 0.90 0.82 - 0.99<br />

Corpus Uteri - - - 319 0.98 0.88 - 1.10<br />

Esophagus 45 0.66 0.48 - 0.88 18 0.84 0.50 - 1.33<br />

Gallbladder 13 1.46 0.78 - 2.50 31 1.53 1.04 - 2.17<br />

Hodgkin’s 77 1.17 0.92 - 1.46 69 1.24 0.96 - 1.57<br />

Lymphoma<br />

Kidney 202 1.33 1.15 - 1.53 91 1.01 0.81 - 1.24<br />

Larynx 96 0.93 0.75 - 1.14 21 0.96 0.59 - 1.46<br />

Leukemia 214 1.16 1.01 - 1.33 144 1.08 0.91 - 1.27<br />

Liver 67 1.66 1.29 - 2.11 27 1.39 0.91 - 2.02<br />

Lung & Bronchus 904 0.96 0.90 - 1.03 493 0.93 0.85 - 1.01<br />

Multiple Myeloma 75 1.42 1.12 - 1.78 46 1.04 0.76 - 1.38<br />

Non-Hodgkin’s 197 1.02 0.89 - 1.18 177 1.10 0.94 - 1.27<br />

Lymphoma<br />

Oral Cavity 146 0.74 0.62 - 0.87 82 0.94 0.75 - 1.17<br />

Ovary - - - 200 1.04 0.90 - 1.19<br />

Pancreas 137 1.14 0.96 - 1.35 99 0.94 0.77 - 1.15<br />

Prostate 1338 1.03 0.97 - 1.08 - - -<br />

Skin 72 0.48 0.38 - 0.60 67 0.63 0.49 - 0.80<br />

Skin – Melanoma 90 0.53 0.43 - 0.66 99 0.68 0.55 - 0.83<br />

Stomach 137 1.11 0.93 - 1.32 88 1.30 1.04 - 1.60<br />

Thyroid 46 1.06 0.77 - 1.41 171 1.35 1.16 - 1.57<br />

Ureter 16 1.71 0.98 - 2.78 9 2.07 0.95 - 3.93<br />

Urinary Bladder 309 1.15 1.03 - 1.29 81 0.98 0.78 - 1.21<br />

Obs - Observed number of cases<br />

PIR - Proportional incidence ratio (O/E)<br />

CI - Confidence Interval<br />

Significantly lower proportion<br />

Significantly higher proportion<br />

Reference:<br />

1. Schwartz KL, Kulwicki A, Weiss LK, Fakhouri H, Sakr W, Kau G, et al. <strong>Cancer</strong> among Arab Americans in the metropolitan Detroit area. Ethn Dis 2004;14(1):141-6.


Arab American <strong>Cancer</strong> Cases, 1973-2004<br />

Tri-County Area<br />

Estimated Numbers of Arab American <strong>Cancer</strong> Cases, 1973-2004<br />

Tri-County Area<br />

Oakland<br />

Macomb<br />

21<br />

Wayne<br />

Legend<br />

County<br />

City<br />

Census Tract<br />

Total Cases<br />

120 to 160<br />

80 to 119<br />

40 to 79<br />

1 to 39<br />

0<br />

Source: MDCSS<br />

© WSU/Department of Family Medicine & Public Health Sciences July, 2007/jcb<br />

© WSU/Department of Family Medicine & Public Health Sciences July, 2007/jcb


Arsenic and <strong>Cancer</strong> of the Urinary Bladder<br />

Investigator: Jennifer L. Beebe-Dimmer MPH, PhD<br />

22<br />

RATE PER 100,000<br />

Age Adjusted Urinary Bladder <strong>Cancer</strong> Incidence Rates per 100,000<br />

Population by Race and Sex, Metropolitan Detroit, 1975 – 2004<br />

60<br />

48<br />

36<br />

24<br />

12<br />

African-American<br />

Male<br />

It is estimated that 67,160 new cases of bladder cancer will be<br />

diagnosed and 13,750 deaths will occur in the United States in 2007<br />

making it the fifth most common cancer diagnosed among men and<br />

women in the United States (Ries et al., 2007). Bladder cancer is diagnosed<br />

3 to 4 times more frequently in men compared to women.<br />

And while the incidence of bladder cancer is higher in whites compared<br />

to blacks, racial differences in mortality are not as marked.<br />

Survival among blacks is poorer than whites, which is only partially<br />

explained by differences in stage at diagnosis. The overall 5-year<br />

relative survival rate for cancers diagnosed between 1996-2003 was<br />

80%, however when relative survival rates are stratified by race,<br />

81% of white men and women diagnosed with bladder cancer survive<br />

at least 5 years compared to only 65% of black men and women<br />

(Ries et al., 2007).<br />

Cigarette smoking is the most well-established risk factor for bladder<br />

cancer as smokers are two to three times more likely to be diagnosed<br />

with bladder cancer compared to non-smokers (Silverman<br />

et al, 2006). Evidence suggests that aromatic amines are the most<br />

powerful bladder carcinogens and that the most common source of<br />

exposure to aromatic amines is tobacco smoke. Tobacco smoke is<br />

also a significant source of a number of polycyclic aromatic hydrocarbons<br />

which have been connected to a number of cancers, including<br />

cancer of the bladder (Engel et al., 2002). Several occupations<br />

have also been linked with an excess in bladder cancer incidence and<br />

mortality including employment in the dyestuffs industry, rubber<br />

and leather manufacturing, as well as<br />

the manufacturing of aromatic amines.<br />

Ingestion of high-levels of inorganic arsenic is a cause of human<br />

bladder cancer (National Research Council, 1999). The relationship<br />

was initially discovered through investigations of areas of chronic<br />

arsenic toxicity (600-1200 μg/L) in Taiwan and Bangladesh. The<br />

effect of low to moderate levels of arsenic (


Differences in Completeness of Follow-up<br />

in a Population-Based <strong>Cancer</strong> Registry<br />

George W. Dombi, Cecilia Yee, Richard K. Severson, Jeannette Korczak and Ikuko Kato (Principal Investigator)<br />

Population-based cancer registries play a pivotal role in providing<br />

unbiased information on the occurrence of cancer arising in a<br />

defined population 1 . This information is crucial to monitor emerging<br />

patterns of cancer incidence, prevalence and survival. In the<br />

US, the Surveillance, Epidemiology and End Results (SEER) data<br />

have revealed differences in cancer incidence and survival between<br />

Caucasians and African Americans 2 . The most commonly diagnosed<br />

cancers in US women and men are breast and prostate cancers,<br />

respectively, and racial disparities in the 5-year relative survival for<br />

these two types of cancer have long been recognized 3, 4 . Validity of<br />

these comparisons depends on the assumption that completeness<br />

of follow-up is not only highly satisfactory, but also comparable between<br />

races. Because cases lost to follow-up may not be representative<br />

samples of the whole patient population, any racial differences<br />

in follow-up could potentially introduce bias into the observed<br />

racial disparities in cancer survival. Thus, we conducted a study to:<br />

(i) identify characteristics of breast cancer and prostate cancer patients<br />

who are lost to follow-up and (ii) assess whether there is any<br />

differential follow-up between African Americans and Caucasians,<br />

after adjustment for other factors related to loss to follow-up.<br />

Test set included 36,925 female breast cancer patients and 40,943<br />

prostate cancer patients, either Caucasian or African Americans,<br />

who were diagnosed between 1992 and 2002 and at age greater<br />

than 20 years were included in the study. During the average 6.6<br />

years of follow-up, 2.4% of the breast cancer patients and 1.4% of<br />

the prostate cancer patients were lost. Losses to follow-up occurred<br />

more frequently in Caucasians than African Americans, particularly<br />

for breast cancer. Unknown social security number (SSN) was<br />

the strongest predictor. Patients younger than 65 years, married<br />

women and men with unknown marital status were more likely to<br />

be lost. Local tumor stage and non-hospital reporting source were<br />

associated with higher risk of loss to follow-up in the logistic regression,<br />

but not in the time-dependent Cox proportional model. While<br />

a history of multiple primary cancers appeared to reduce the risk of<br />

loss to follow-up, no surgery or no radiation treatment records were<br />

associated with an increased risk of follow-up loss for either cancer.<br />

These observations are contrary to our working hypothesis that<br />

African Americans, as well as patients with lower socio-economical<br />

status, may be more likely to be lost to follow-up. The causes for<br />

the unexpected lower rate of African Americans lost to follow-up<br />

remains to be elucidated. It is not surprising that an advanced stage<br />

of disease showed a strong inverse association with loss to followup<br />

because all deceased cases were considered to be completely<br />

followed. Major determinants of loss to follow-up were concerned<br />

with incomplete patient information. According to the results of<br />

this study, it is highly recommended that complete and accurate<br />

personal identifying information be obtained; otherwise additional<br />

information concerning potential contacts of the patients would be<br />

helpful. Aside from that, results from the logistic regression analyses<br />

may prove to be especially useful in planning targeted follow-up<br />

to identify those patients who are likely to be lost following the<br />

initial diagnosis and treatment period.<br />

23<br />

100 MDCSS (1992 – 2002) Breast <strong>Cancer</strong> Patients Lost to Follow-up<br />

100 MDCSS (1992 - 2002) Prostate <strong>Cancer</strong> Patients Lost to Follow-up<br />

80<br />

Caucasian<br />

African American<br />

1.7%<br />

2.6%<br />

80<br />

Caucasian<br />

African American<br />

1.5%<br />

1.0%<br />

PERCENTAGE<br />

=65 years old<br />

40 Not married<br />

1.0%<br />

1.5%<br />

4.3%<br />

PERCENTAGE<br />

1.1%<br />

1.0%<br />

2.9%<br />

Married<br />

3.1%<br />

3.8%<br />

1.1%<br />

20 Unknown<br />

=65 years old<br />

40 Not married<br />

Married<br />

20 Unknown<br />

4.3%<br />

SSN known<br />

SSN unknown 1975 1980<br />

2.1% 39.7%<br />

SSN known 0.9% 51.5%<br />

SSN unknown 1975 1980<br />

0% 1% 2% 3% 4% 5% …<br />

Lost to Follow-up<br />

37% 38% 39% 40% 0% 1% 2% 3% 4% 5% … 49% 50% 51% 52%<br />

Lost to Follow-up<br />

References:<br />

1. Parkin DM. The evolution of the population-based cancer registry.<br />

Nat Rev <strong>Cancer</strong>. 2006;6:603-12.<br />

2. Ries LAG, Harkins D, Krapcho M, et al (eds). SEER <strong>Cancer</strong> <strong>Statistics</strong> Review,<br />

1975-2003, National <strong>Cancer</strong> <strong>Institute</strong>. Bethesda, MD, http://seer.cancer.gov/<br />

csr/1975_2003/,based on November 2005 SEER data submission, posted to<br />

the SEER web site, 2006.<br />

3. Young JL Jr, Ries LG, Pollack ES. <strong>Cancer</strong> patient survival among ethnic groups<br />

in the United States. J Natl <strong>Cancer</strong> Inst 1984 ;73:341-352.<br />

4. Clegg LX, Li FP, Hankey BF, Chu K, Edwards BK. <strong>Cancer</strong> survival among US whites<br />

and minorities: a SEER (Surveillance, Epidemiology, and End Results) Program<br />

population-based study. Arch Intern Med. 2002 Sep 23;162(17):1985-93.


External Investigators: Use of MDCSS Data<br />

24<br />

Data collected through the MDCSS provides a wealth of opportunities<br />

to researchers working both internally as well as externally to<br />

the MDCSS. These collaborative research initiatives provide important<br />

information for a wide variety of audiences including health<br />

care providers, health economists, policy makers, health educators<br />

and, perhaps most importantly, patients and families affected by<br />

cancer. Additionally, collaborative studies strengthen relationships<br />

and foster additional opportunities for future cancer research. The<br />

MDCSS both supports and encourages outside research investigators<br />

to contact MDCSS research faculty with potential research<br />

initiatives. It is important to note that under no circumstances<br />

does the MDCSS provide external researchers access to patient or<br />

physician identifiers and, following IRB approvals, all contact with<br />

patients and physicians is conducted by the MDCSS.<br />

What follows are just a few examples of joint research initiatives<br />

between faculty at MDCSS and outside investigators:<br />

• Steven Katz, MD, MPH of University of Michigan has collaborated<br />

on a number of different projects with MDCSS<br />

researchers. Dr. Katz and MDCSS Investigator John Graff,<br />

PhD are currently collaborating on a study, “Health System<br />

Factors and Patient Outcomes in Breast <strong>Cancer</strong>” funded by the<br />

National <strong>Cancer</strong> <strong>Institute</strong>. The specific aims of this study are:<br />

1) To collect information from attending surgeons, oncologists<br />

and their practices who treated a population-based sample of<br />

female patients recently diagnosed with breast cancer derived<br />

from the Detroit SEER registry via a self-administered mailed<br />

survey (or telephone survey option). Provider and practice survey<br />

information will be linked to information from the patient<br />

survey which will also be augmented by sociodemographic and<br />

clinical data from the SEER registry; 2) To develop and refine<br />

measures of delivery system innovations and between-provider<br />

communication factors that are relevant to patient experiences<br />

and outcomes in cancer; 3) to describe variations in and<br />

the interplay between provider characteristics, practice characteristics,<br />

delivery system innovations and between-provider<br />

communication factors across provider groups; 4) to examine<br />

the association of three patient outcomes with delivery system<br />

innovations and between-provider communication factors.<br />

• Another research collaboration with Dr. Katz was “A Survey<br />

of Surgeons’ Knowledge and Attitude Towards Breast Surgery<br />

Treatment Decisions”, also funded by the National <strong>Cancer</strong><br />

<strong>Institute</strong> as a supplement to the patient study. The study<br />

surveyed attending surgeons in the Detroit metropolitan<br />

area using self-administered questionnaires and telephone<br />

interviews to learn about surgeon perspectives on the<br />

decision-making process for breast cancer treatment. The<br />

surgeons were identified through the Metropolitan Detroit<br />

<strong>Cancer</strong> Surveillance System as having performed the primary<br />

treatment surgeries (e.g., lumpectomies and mastectomies)<br />

on the women in the patient study.<br />

• Jennifer Griggs, MD, MPH of University of Michigan and<br />

MDCSS Investigator John Graff, PhD are also collaborating on<br />

a study, “Disparity in Quality of Breast <strong>Cancer</strong> Treatment and<br />

Effect on Outcomes” funded by the National <strong>Cancer</strong> <strong>Institute</strong>.<br />

The purpose of this study is to assess the effect of breast cancer<br />

adjuvant treatment quality of care on outcomes, to quantify<br />

differences in treatment according to race, socioeconomic<br />

status, and obesity status, and to identify the dimensions of<br />

quality that generate disparities in outcomes. Clinical, pathological,<br />

treatment, and outcome data will be abstracted from<br />

the medical records of over 3000 women, stratified by race<br />

and site, who were treated for Stages I, II, or III breast cancer<br />

at two sites. Census block group data will be merged with the<br />

abstracted medical record data to provide SES measures. The<br />

ultimate goal of this project is to use the results to develop<br />

effective interventions to improve quality of care and address<br />

disparities in cancer outcomes.<br />

• Mousumi Banerjee, PhD of University of Michigan, MDCSS<br />

Investigator Kendra Schwartz, MD, MSPH, and Isaac Powell,<br />

MD of Wayne State University are collaborating on a study,<br />

“Racial Disparities in Treatment for Prostate <strong>Cancer</strong>” funded<br />

by the Lance Armstrong Foundation. In this retrospective medical<br />

record review study, statistical analyses will be performed<br />

to determine the factors associated with treatment received<br />

and prostate cancer survival among prostate cancer patients<br />

at a large urban comprehensive cancer center. In the statistical<br />

analysis patient factors will be examined such as age, SES,<br />

comorbidities, and tumor pathology to determine if these<br />

factors are associated with treatment received. Insurance type<br />

as a sytem level factor will also be included. Because all the<br />

patients are treated at a single large comprehensive cancer center,<br />

variablity of physician and hospital factors will be less of a<br />

concern. Findings from this research will 1) enable us to identify<br />

the causes for potential “undertreatment” of African American<br />

prostate cancer patients, and 2) empower us to objectively address<br />

the factors that contribute to the disparate prostate cancer<br />

mortality in African Americans by targeting patient education<br />

and intervention efforts in focused populations.<br />

As is evidenced by the examples above, there is a wide range of<br />

potential research opportunities available to outside investigators.<br />

Any interested parties should contact Dr. John Graff for more information<br />

on how to proceed with potential collaborative endeavors.<br />

John J. Graff, Ph.D., M.S.<br />

Assistant Professor; Chief, <strong>Cancer</strong> Surveillance, Research, Epidemiology Section<br />

Metropolitan Detroit <strong>Cancer</strong> Surveillance System<br />

110 E. Warren Avenue, Detroit, MI 48201-1379 | (313) 578-4205<br />

jgraff@med.wayne.edu


List of Studies Conducted at the<br />

Metropolitan Detroit <strong>Cancer</strong> Surveillance System<br />

The Metropolitan Detroit <strong>Cancer</strong> Surveillance System participates in<br />

a number of collaborative research projects. A brief description of a<br />

sample of these projects conducted during the past 2 years follows.<br />

Genetic Epidemiology of Lung <strong>Cancer</strong><br />

This study is a case-control family study of lung cancer susceptibility<br />

genes and the study of gene-environment interactions. Dr. Ann<br />

Schwartz is the PI. This study is funded by the National<br />

<strong>Cancer</strong> <strong>Institute</strong>.<br />

Genetic Epidemiology of Lung <strong>Cancer</strong> I<br />

This study is designed to create a family registry and search for lung<br />

cancer genes in high risk lung cancer families. Dr. Ann Schwartz<br />

is the PI. This study is funded by the National <strong>Cancer</strong> <strong>Institute</strong> and the<br />

University of Cinncinnati.<br />

Adenocarcinoma of the Lung in Women<br />

The role of tobacco smoke and estrogens in determining risk of<br />

adenocarcinoma of the lung is being evaluated in a case-control study.<br />

In addition to questionnaire data, blood is collected for genotyping<br />

of metabolic enzyme loci and tumor blocks are evaluated for estrogen<br />

receptor status. Dr. Ann Schwartz is the PI. This study is funded by the<br />

National <strong>Cancer</strong> <strong>Institute</strong>.<br />

EXHALE<br />

This study is a case-control study of lung cancer in African Americans<br />

that will use admixture mapping to identify genes for lung cancer. Dr.<br />

Ann Schwartz is the PI of this National <strong>Cancer</strong> <strong>Institute</strong> funded study.<br />

The Role of Estrogen in Lung <strong>Cancer</strong><br />

The aim of this study is to evaluate the contribution of tobacco<br />

exposure, estrogen use and reproductive history in determining the<br />

risk of lung cancer in women, using data from the Women’s Health<br />

Initiative. Dr. Ann Schwartz is the PI for this study which was funded<br />

by the Lung <strong>Cancer</strong> Online Foundation.<br />

Genetic Epidemiology of Pancreatic <strong>Cancer</strong><br />

This project establishes the PACGENE Consortium of six institutions<br />

throughout the United States and Canada whose purpose is to identify<br />

and recruit kindreds with familial pancreatic cancer for gene discovery<br />

research. Dr. Ann Schwartz is the local PI of a subcontract to the Mayo<br />

Clinic, where the PI of the Consortium is Dr. Gloria Petersen. The<br />

overall study is funded by the National <strong>Cancer</strong> <strong>Institute</strong>.<br />

Study Centers for Case-Control Study of Renal<br />

Cell <strong>Cancer</strong> among Caucasians & African-Americans<br />

in the U.S.<br />

This is a population-based case-control study of renal cell cancer in<br />

areas of the United States with a high proportion of African-American<br />

residents. In-person interviews are conducted with cases and controls<br />

to elicit information on demographic background and history of<br />

exposures. In addition, blood, buccal cells and tumor tissue are collected<br />

for analysis. This study is funded by the National <strong>Cancer</strong> <strong>Institute</strong>.<br />

Dr. Kendra Schwartz is the local PI.<br />

Racial Disparities in the Treatment of Prostate <strong>Cancer</strong><br />

This study investigates the following questions: 1) Are there variations<br />

in the receipt of prostate cancer treatment between African Americans<br />

and Caucasians? 2) If so, for which types of treatment do these<br />

variations exist? 3) Are there variations in time from diagnosis<br />

to primary treatment? 4) Do these treatment variations result in<br />

disparities in prostate cancer outcomes? This study is funded by the<br />

University of Michigan and the Lance Armstrong Foundation. Dr.<br />

Kendra Schwartz is the local Investigator and Dr. Mousumi Banerjee<br />

of the University of Michigan is the PI.<br />

Health System Factors and Patient Outcomes<br />

in Breast <strong>Cancer</strong><br />

This study measures the impact of the breast cancer experience on<br />

women, addressing topics such as barriers to diagnosis and treatment,<br />

coordination of care and employment difficulties related to treatment.<br />

Dr. John J. Graff is the local PI at Wayne State University (WSU) and<br />

Dr. Steven Katz is the Principal Investigator of the parent contract<br />

with University of Michigan (UM) for this National <strong>Cancer</strong> <strong>Institute</strong><br />

funded project.<br />

Patterns and Correlates of Chemotherapy<br />

Delivery Quality<br />

This study will investigate patient demographic and social support<br />

factors, oncologist factors and delivery system factors associated with<br />

disparities in the receipt of suboptimal chemotherapy doses in the<br />

adjuvant treatment of breast cancer. Dr. John J. Graff is the local PI at<br />

Wayne State University (WSU) and Dr. Steven Katz and Dr. Jennifer<br />

Griggs are the Principal Investigators of the parent contract with<br />

University of Michigan (UM) for this National <strong>Cancer</strong> <strong>Institute</strong><br />

funded project.<br />

Disparity in Quality of Breast <strong>Cancer</strong> Treatment<br />

and Effect on Outcomes<br />

This study will investigate whether 1) the quality of breast cancer<br />

adjuvant treatment and disease-free and overall survival are related; 2)<br />

racial, socioeconomic and weight-based disparities exist in the quality<br />

of breast cancer adjuvant treatment and timing of treatments; and 3)<br />

disparities in outcomes exist and if they are reduced by controlling for<br />

disparities in the quality of treatments. The ultimate goal of this project<br />

is to use the results to develop effective interventions to improve<br />

quality of care and address disparities in outcomes. Dr. John J. Graff is<br />

the local PI at WSU and Dr. Jennifer Griggs is the Principal Investigator<br />

of the parent contract with UM for this National <strong>Cancer</strong> <strong>Institute</strong><br />

funded project.<br />

25


26<br />

Assessing Smoking and Drinking in the Development<br />

of Tongue <strong>Cancer</strong> and Evaluation of Quality of<br />

Life Following Different Treatment Options –<br />

A Feasibility Study<br />

This is a feasibility study to assess tobacco and alcohol use among<br />

patients diagnosed with tongue cancer and to evaluate their quality of<br />

life after making decisions about cancer treatment. Self-administered<br />

surveys will be mailed to newly diagnosed subjects over a one-year<br />

period of rapid case ascertainment. Dr. John Graff is the PI of this<br />

National <strong>Cancer</strong> <strong>Institute</strong> funded study.<br />

Luminal Lipid Exposure, Genetics & Colon <strong>Cancer</strong> Risk<br />

This case-control study of colon cancer risk will determine whether<br />

specific genotypes are associated with risk of colon cancer and<br />

whether the effect of a high fat diet on the risk of colon cancer is more<br />

pronounced in the subjects with these genotypes. Dr. Ikuko Kato is the<br />

PI of this study which is funded by the National <strong>Cancer</strong> <strong>Institute</strong>.<br />

SEER Patterns of Care Study<br />

Each year, the National <strong>Cancer</strong> <strong>Institute</strong> and 14 national SEER sites<br />

collaborate in this study to assess trends in treatment for selected<br />

cancer sites. This study examines trends in treatment by age, race/<br />

ethnicity, gender and other demographic characteristics, in relation to<br />

tumor morphology, hospital and insurer characteristics and the impact<br />

of treatment changes on survival. Dr. Ikuko Kato is the local PI. This<br />

study was funded by the National <strong>Cancer</strong> <strong>Institute</strong>.<br />

Feasibility of Expanded Patterns of Care Study<br />

of Adolescent and Young Adult <strong>Cancer</strong>s<br />

This expanded Patterns of Care Study will assess the feasibility of<br />

enrolling adolescent and young adult cancer patients in a study to<br />

determine current treatment patterns for Non-Hodgkin’s Lymphoma,<br />

Hodgkin’s Lymphoma, Acute Lymphoblastic Leukemia, Germ Cell<br />

<strong>Cancer</strong> and Osteo, Ewing’s and Synovial Sarcoma. Participants will<br />

complete a short, online survey and are also asked for consent to obtain<br />

their medical records. Dr. Ikuko Kato is the local PI of this National<br />

<strong>Cancer</strong> <strong>Institute</strong> funded study.<br />

Does Use of Alternative Medicine Delay Treatment<br />

of Head and Neck <strong>Cancer</strong>?<br />

The primary goal of this population-based study is to assess whether<br />

complementary and alternative medicine (CAM) use is associated with<br />

a delay in initiation of conventional cancer treatment for head and neck<br />

cancer, which would predict poorer survival. Dr. Ikuko Kato is the PI for<br />

this National <strong>Cancer</strong> <strong>Institute</strong> funded project.<br />

Molecular Epidemiology of Steroid Hormone<br />

Metabolism in Relation to Breast <strong>Cancer</strong> Risk in<br />

African Americans<br />

This study seeks to genotype cases and controls for specifically or<br />

predominantly African American polymorphisms at steroid hormone<br />

metabolism loci and to test for associations of these polymorphisms<br />

with breast cancer risk. This study was funded by the Susan G. Komen<br />

Breast <strong>Cancer</strong> Foundation. Dr. Ikuko Kato is the PI on this study.<br />

Does Completeness of SEER Follow-up Vary<br />

by Race/Ethnicity?<br />

The purpose of this study is to evaluate the completeness of follow-up<br />

information for all patients in the Detroit SEER Registry who were<br />

diagnosed with lung, breast, prostate, or colorectal cancer and all<br />

children who were diagnosed with leukemia, lymphoma or brain cancer<br />

during 1992-2002. For each of these cancer types, we will explore the<br />

impact of race/ethnicity on the completeness of follow-up information,<br />

as well as other patient-, tumor-, or medical care provider-associated<br />

factors. Results of this study will increase our understanding of possible<br />

biases in research studies of cancer survivors and identify areas where<br />

more intensive follow-up efforts are indicated. The Co-Investigators of<br />

this study are Dr. Ikuko Kato and Dr. Jeannette Korczak. This study was<br />

funded by the National <strong>Cancer</strong> <strong>Institute</strong>.<br />

Hormonal Factors and Lung <strong>Cancer</strong>:<br />

A Potential Target for Therapy<br />

The goal of this study is to further our understanding of the role<br />

of estrogen-related tumor characteristics in predicting sex-specific<br />

survival after a lung cancer diagnosis. Specifically, tumors from 275<br />

early-onset lung cancer cases (144 men, 131 women) will be examined<br />

for estrogen receptor beta status and aromatase expression. We will<br />

determine the proportion of tumors that are ER-β positive and/<br />

or express aromatase. We will also assess whether ER-β expression<br />

and aromatase expression are correlated, and whether expression is<br />

associated with gender. Lastly, we will evaluate whether ER-β and<br />

aromatase expression is associated with survival. Dr. Michele Cote is<br />

the PI for this National <strong>Cancer</strong> <strong>Institute</strong> funded study.<br />

Oxidative Stress, Antioxidants and<br />

Racial Disparities in Prostate <strong>Cancer</strong><br />

This study will examine three genes in the oxidative stress pathway<br />

along with intake of three antioxidants to determine whether variation<br />

in the genes modifies prostate cancer risk associated with intake of each<br />

of the antioxidants. Dr. Cathy Bock is the PI on this National <strong>Cancer</strong><br />

<strong>Institute</strong> funded study.<br />

Analysis of Ethnic Admixture in Prostate <strong>Cancer</strong><br />

The goal of this research proposal is to use a novel approach to gene<br />

mapping, admixture mapping, to find potential prostate cancer<br />

susceptibility genes in a group of African-American men. Dr. Cathy<br />

Bock is the PI on this Department of Defense funded study.


List of Metropolitan Detroit <strong>Cancer</strong><br />

Surveillance System/Detroit SEER Publications 2005-2007<br />

In Press<br />

Banerjee M, Schwartz K, George J, Yee C, Hryniuk W. Disentangling<br />

the effects of race on breast cancer treatment. <strong>Cancer</strong>, in press.<br />

Cheng H, Sathiakumar N, Graff JJ, Matthews R, Delzell E. 1,3-Butadiene<br />

and Leukemia Among Synthetic Rubber Workers: Exposure-Response<br />

Relationships. Chem Biol Interact, 166(1-3):15-24, 2007.<br />

Cozen W, Engels EA, Cerhan JR, Linet M, Bernstein L, Colt JS, Davis S,<br />

Severson RK, Martinez-Maza O, Hartge P. The effect of atopy, childhood<br />

crowding and other immune-related risk factors on non-Hodgkin<br />

lymphoma risk. <strong>Cancer</strong> Causes Control, in press.<br />

Fagerlin A, Lakhani I, Lantz PM, Janz NK, Morrow M, Schwartz K, Deapen<br />

D, Salem B, Liu L, Katz SJ. An informed decision? Breast cancer patients<br />

and their knowledge about treatment. Patient Education and Counseling,<br />

in press.<br />

Janz N, Lantz P, Hawley ST, Schwartz K, Liu L, Katz SJ. Symptom<br />

experience and quality of life in women following breast cancer<br />

treatment. J Women’s Health, in press.<br />

Kato I, Neale AN. Does use of alternative medicine delay treatment of head<br />

and neck cancer?: a Surveillance, Epidemiology, and End Results (SEER)-<br />

cancer registry study. Head and Neck, in press.<br />

Morton LM, Bernstein L, Wang SS, Hein DW, Rothman N, Colt JS, Davis S,<br />

Cerhan JR, Severson RK, Welch R, Hartge P, Zahm SH. Hair dye use,<br />

genetic variation in N-acetyltransferase 1 (NAT1) and 2 (NAT2), and risk<br />

of non-Hodgkin lymphoma. Carcinogenesis, in press.<br />

Wang SS, Hartge P, Cerhan J, Cozen W, Davis S, Severson R, Chatterjee N,<br />

Yeager M, Chanock S, Rothman N. Immune Gene Polymorphisms and<br />

Risk of Non Hodgkin Lymphoma in the NCI-SEER Case Control Study.<br />

J Clin Oncol, in press.<br />

2007<br />

Cerhan JR, Habermann TM, Ansell SM, Geyer SM, Maurer MJ,<br />

Hartge P, Wang S, Morton LM, Chanock S, Rothman N, Lynch CF,<br />

CozenW, Davis S, Severson RK. Prognostic significance of host<br />

immune gene polymorphisms in follicular lymphoma survival.<br />

Blood 109:5439-5446, 2007.<br />

Clegg LX, Reichman ME, Hankey BF, Miller BA, Lin YD, Johnson NJ,<br />

Schwartz SM, Bernstein L, Chen VW, Goodman MT, Gomez SL, Graff JJ,<br />

Lynch CF, Lin CC, Edwards BK. Quality of Race, Hispanic Ethnicity, and<br />

Immigrant Status in Population-based <strong>Cancer</strong> Registry Data: Implications<br />

for Health Disparity Studies. <strong>Cancer</strong> Causes Control, 18(2): 177-87, 2007.<br />

Colt JS, Hartge P, Purdue M, Davis S, Cerhan J, Cozen W, Severson RK.<br />

Hobbies with solvent exposure and risk of non-Hodgkin lymphoma.<br />

<strong>Cancer</strong> Causes Control 18:385-390, 2007.<br />

Cote ML, Wenzlaff AS, Bock CH, Land SJ, Santer SK, Schwartz DR,<br />

Schwartz AG. Combinations of cytochrome P-450 genotypes and risk<br />

of early-onset lung cancer in Caucasians and African Americans:<br />

A population-based study. Lung <strong>Cancer</strong> 55(3): 255-262, 2007.<br />

Katz SJ, Hofer TP, Hawley ST, Lantz PM, Janz NK, Schwartz K, Liu L,<br />

Deapen D, Morrow M. Patterns and correlates of patient referrals to<br />

surgeons for treatment of breast cancer. J Clin Oncol 25:271-6, 2007.<br />

Naff JL, Cote ML, Wenzlaff AS, Schwartz AG. Racial differences in<br />

cancer risk among relatives of early-onset lung cancer cases.<br />

Chest; May 131(5):1289-94, 2007.<br />

Opatt D, Morrow M, Hawley ST, Schwartz K, Janz NK, Katz SJ. Conflicts<br />

in decision-making for breast cancer surgery. Ann Surg Oncol DOI:<br />

10.1245/s10434-007-9431-7, 2007.<br />

Schwartz AG, Prysak GM, Bock CH, Cote ML. The molecular epidemiology<br />

of lung cancer. Carcinogenesis 28: 507-18, 2007.<br />

Wang M, Vikis HG, Wang Y, Jia D, Wang D, Bierut LJ, Bailey-Wilson JE,<br />

Amos CI, Pinney SM, Petersen GM, de Andrade M, Yang P, Wiest JS, Fain<br />

PR, Schwartz AG, Gazdar A, Minna J, Gaba C, Rothschild H, Mandal D,<br />

Kupert E, Seminara D, Liu Y, Viswanathan A, Govindan R, Anderson MW,<br />

You M. Identification of a novel tumor suppressor gene p34 on human<br />

chromosome 6q25.1. <strong>Cancer</strong> Res 1:93-99, 2007.<br />

Wang SS, Cozen W, Cerhan JR, Colt J, Morton LM, Engels EA, Davis S,<br />

Severson RK, Rothman N, Chanock SJ, Hartge P. Immune mechanisms<br />

in non-Hodgkin lymphoma: joint effects of the TNF G308A and IL10<br />

T3575A polymorphisms with non-Hodgkin lymphoma risk factors.<br />

<strong>Cancer</strong> Res 67:5042-5054, 2007.<br />

Wang SS, Slager S, Brennan P, Becker N, Bernstein L, Cerhan JR, Chiu BCH,<br />

Cocco PL, Costantini AS, Cozen W, Dal Maso L, Davis S, De Sanjose S,<br />

Foretova L, Franceschi S, Holly EA, La Vecchia C, Lan EZ, Maynadie M,<br />

Mensah F, Roman E, Severson RK, Spinelli J, Staines A, Vornanen M,<br />

Zhang Y, Hartge P. Family history of hematopoietic malignancies and<br />

risk of non-Hodgkin lymphoma (NHL): a pooled analysis of 10,211 cases<br />

and 11,905 controls from the International Lymphoma Epidemiology<br />

Consortium (InterLymph). Blood 109:3479-3488, 2007.<br />

2006<br />

Bangsi D, Zhou JY, Sun Y, Patel NP, Darga LL, Heilbrun LK, Powell IJ,<br />

Severson RK, Everson RB. Impact of a Genetic Variant in CYP3A4 on<br />

Risk and Clinical Presentation of Prostate <strong>Cancer</strong> Risk Among White<br />

and African American Men. Urol Oncol 24:21-7, 2006.<br />

Colt JS, Davis S, Severson RK, Lynch CF, Cozen W, Camann D, Engels EA,<br />

Blair A, Hartge P. Residential insecticide use and Risk of Non-Hodgkin<br />

Lymphoma. <strong>Cancer</strong> Epidemiol Biomarkers Prev 15:251-257, 2006.<br />

Cote ML, Wenzlaff AS, Bock CH, Land SJ, Santer SK, Schwartz DR,<br />

Schwartz AG. Combinations of cytochrom P-450 genotypes and risk<br />

of early-onset lung cancer in Caucasians and African Americans:<br />

A population-based study. Lung <strong>Cancer</strong> 2006, Epub.<br />

Cote ML, Wenzlaff AS, Philip PA, Schwartz AG. Secondary cancers after a<br />

lung carcinoid primary: A population-based analysis. Lung <strong>Cancer</strong> June;<br />

52(3):273-9, 2006.<br />

De Roos AJ, Gold LS, Wang S, Hartge P, Cerhan J, Cozen W, Yeager M,<br />

Chanock S, Rothman N, Severson R. Metabolic gene variants and<br />

risk of non-Hodgkin lymphoma. <strong>Cancer</strong> Epidemiol Biomarkers Prev<br />

15:1647-1653, 2006.<br />

Fagerlin A, Lakhani I, Lantz PM, Janz NK, Morrow M, Schwartz K, Deapen<br />

D, Salem B, Liu L, Katz SJ. An informed decision? Breast cancer patients<br />

and their knowledge about treatment. Patient Education and Counseling<br />

64:303-12., 2006.<br />

Hartge P, Lim U, Freedman DM, Colt JS, Cerhan JR, Cozen W, Severson RK,<br />

Davis S. Ultraviolet radiation, dietary vitamin D, and risk of non-Hodgkin<br />

lymphoma. <strong>Cancer</strong> Causes Control 17:1045-1052, 2006.<br />

Hawley ST, Hofer TP, Janz, NK, Lantz P, Alderman A, Mujahid M, Schwartz<br />

K, Liu L, Deapen D, Morrow M, Katz SJ. Correlates of between-surgeon<br />

variation in breast cancer treatment. Med Care 44: 609-16, 2006.<br />

27


28<br />

Hill DA, Wang SS, Cerhan JR, Davis S, Cozen W, Severson RK, Hartge P,<br />

Yeager M, Chanock SJ, Rothman N. Risk of non-Hodgkin lymphoma<br />

(NHL) in relation to germline variation in DNA repair or related genes.<br />

Blood 108:3161-3167, 2006.<br />

Lantz PM, Mujahid M, Schwartz K, Janz NK, Fagerlin A, Salem B, Liu<br />

L, Deapen D, Katz SJ. The influence of race, ethnicity, and individual<br />

socioeconomic factors on breast cancer stage at diagnosis. Am J Public<br />

Health 96:2173-8, 2006.<br />

Lee WJ, Purdue M, Stewart P, Schenk M, De Roos A, Cerhan J, Severson<br />

RK, Cozen W, Hartge P, Blair A. Occupational exposure to pesticides,<br />

asthma history, and the risk of non-Hodgkin lymphoma. Int J <strong>Cancer</strong><br />

118:3174-3176, 2006.<br />

Linet MS, Colt J, Hartge P, Severson RK, Cerhan JR, Cozen W, Davis S.<br />

Use of mobile telephones and non-Hodgkin lymphoma. Int J <strong>Cancer</strong><br />

119:2382-2388, 2006.<br />

Maibenco DC, Dombi G, Kau TY, Severson RK. Significance of<br />

micrometastases on the survival of women with T1 breast cancer.<br />

<strong>Cancer</strong> 107:1234-1239, 2006.<br />

Raimondi S, Paracchini V, Autrup H, Barros-Dios JM, Benhamou S, Boffetta<br />

P, Cote ML, Dialyna IA, Dolzan V, Filiberti R, Garte S, Hirvonen A,<br />

Husgafvel-Pursiainen K, Imyanitov EN, Kalina I, Kang D, Kiyohara C,<br />

Kohno T, Kremers P, Lan Q, London S, Povey AC, Rannug A, Reszka E,<br />

Risch A, Romkes M, Schneider J, Seow A, Shields PG, Sobti RC, Sørensen<br />

M, Spinola M, Spitz MR, Strange RC, Stücker I, Sugimura H, To-Figueras<br />

J, Tokudome S, Yang P, Yuan J-M, Warholm M and Taioli E. Meta and<br />

pooled analysis of GSTT1 and lung cancer: a HuGE-GSEC review.<br />

AJE 2006; Sept. 25.<br />

Rothman N, Skibola C, Wang S, Morgan G, Lan Q, Smith MT, Spinelli JJ,<br />

Willett E, De Sanjose S, Cocco P, Berndt S, Brennan P, Brooks-Wilson A,<br />

Wacholder S, Becker N, Hartge P, Zheng T, Roman E, Holly EA, Boffetta<br />

P, Armstrong B, Cozen W, Linet M, Bosch FX, Ennas MG, Holford TR,<br />

Gallagher RP, Rollinson S, Bracci PM, Cerhan JR, Whitby D, Moore<br />

PS, Leaderer B, Lai A, Spink C, Davis S, Bosch R, Scarpa A, Zhang Y,<br />

Severson RK, Yeager-Jeffery M, Chanock S, Nieters A. Genetic variation<br />

in TNF and IL10 and risk of non-Hodgkin lymphoma: A report from the<br />

Interlymph Consortium. Lancet Oncology 7:27-38, 2006.<br />

Schwartz AG. Lung cancer: Family history matters. Chest 130: 936-7, 2006.<br />

Schwartz AG, Ruckdeschel JC. Familial lung cancer: genetic susceptibility<br />

and relationship to COPD. Am J Respiratory Critical Care Med<br />

173:16-22, 2006.<br />

Simon MS, Banerjee M, Crossley-May H, Vigneau FD, Noone AM,<br />

Schwartz K. Racial differences in breast cancer survival in the Detroit<br />

metropolitan area. Breast <strong>Cancer</strong> Res Treat 97(2): 149-51, 2006.<br />

Simon MS, Korczak JF, Yee CL, Malone KF, Ursin G, Bernstein L, McDonald<br />

JA, Deapen D, Strom BL, Press MF, Marchbanks PA, Burkman RT,<br />

Weiss LK, Schwartz AG. Breast cancer risk estimates for relatives of<br />

white and African American women with breast cancer in the Women’s<br />

Contraceptive and Reproductive Experiences Study. J Clin Oncol<br />

24: 2498-504, 2006.<br />

Stewart SL, Wike JM, Kato I, Lewis DR, and Michaud F. A population-based<br />

study of colorectal cancer histology. <strong>Cancer</strong> 107: 1128-1141, 2006.<br />

Vandevord PJ, Wooley PH, Darga LL, Severson RK, Wu B, Nelson DA.<br />

Genetic determinants of bone mass do not relate with breast cancer risk<br />

in US white and African-American women. Breast <strong>Cancer</strong> Res Treat<br />

June 22, 2006.<br />

Wang SS, Cozen W, Severson RK, Hartge P, Cerhan JR, Davis S, Welch R,<br />

Rothman N, Chanock SJ. Cyclin D1 (CCND1) splice variant and risk for<br />

non-Hodgkin lymphoma (NHL). Human Genetics 120:297-300, 2006.<br />

Wang SS, Davis S, Cerhan JR, Hartge P, Davis S, Severson RK, Cozen W,<br />

Lan Q, Welch R, Chanock SJ, Rothman N. Polymorphisms in oxidative<br />

stress genes and risk for non-Hodgkin lymphoma. Carcinogenesis<br />

27:1828-34, 2006.<br />

Wang SS, Hartge P, Cerhan JR, Cozen W, Davis S, Severson RK, Chatterjee<br />

N, Yeager M, Chanock SJ, Rothman N. Common genetic variants in<br />

pro-inflammatory and other immunoregulatory genes and risk for<br />

non-Hodgkin lymphoma (NHL). <strong>Cancer</strong> Res 66:9771-9780, 2006.<br />

2005<br />

Barnholtz-Sloan JS, Charkraborty R, Sellers TA, Schwartz AG. Examining<br />

population stratification via individual ancestry estimates versus selfreported<br />

race. <strong>Cancer</strong>, Epidemiology, Biomarkers and Prevention<br />

14: 1545-51, 2005.<br />

Barnholtz-Sloan JS, Severson RK, Stanton B, Hamre M, Sloan AE.<br />

Pediatric brain tumors in Hispanics, non-Hispanics, African Americans<br />

and Asians: differences in survival after diagnosis. <strong>Cancer</strong> Causes Control,<br />

16: 587-592, 2005.<br />

Bednarek H, Bradley C. Work and Retirement Beyond <strong>Cancer</strong> Diagnosis.<br />

Research in Nursing & Health, 28(2): 126-135, 2005<br />

Bock CH, Wenzlaff AS, Cote ML, Land SJ, Schwartz AG. NQO1 T allele<br />

associated with decreased risk of later age at diagnosis lung cancer among<br />

never smokers: results from a population-based study. Carcinogenesis<br />

26: 381-386, 2005.<br />

Bradley CJ, Neumark D, Luo Z, Bednarek H, Schenk M. Employment<br />

outcomes of men treated for prostate cancer. Journal of National <strong>Cancer</strong><br />

Inst, 97(13): 958-965, 2005.<br />

Bradley CJ, Neumark D, Bednarek H, Schenk M. Short-term effects of breast<br />

cancer on labor market attachment: results from a longitudinal study<br />

J Health Econ. 24(1):137-60, 2005.<br />

Cerhan JR, Bernstein L, Severson RK, Davis S, Colt JS, Blair A, Hartge P.<br />

Anthropometrics, physical activity, related medical conditions,<br />

and the risk of non-Hodgkin lymphoma. <strong>Cancer</strong> Causes Control,<br />

16:1203-1214, 2005.<br />

Chatterjee S, Dombi GW, Severson RK, Mayes MD. Risk of malignancy in<br />

scleroderma: a population-based cohort study. Arthritis Rheum, 52(8):<br />

2415-2424, 2005.<br />

Chuba PJ, Hamre MR, Yap J, Severson RK, Lucas D, Shamsa F, Aref A.<br />

Bilateral risk for subsequent breast cancer after lobular carcinoma in situ.<br />

J Clin Oncol 23:5534-5541, 2005.<br />

Colt JS, Severson RK, Lubin J, Camann D, Davis S, Cerhan J, Cozen W,<br />

Rothman N, Hartge P. Organochlorine compounds in carpet dust and risk<br />

of non-Hodgkin lymphoma. Epidemiol 16:516-525, 2005.<br />

Colt J, Wacholder S, Schwartz K, Davis F, Graubard B, Chow W. Response<br />

rates in a case-control study: Effect of disclosure of biologic sample<br />

collection in the initial contact letter. Ann Epidemiol 15: 700-704, 2005.<br />

Cote, M.L., Kardia, S.L.R., Wenzlaff, A.S., Land, S.J., Schwartz, A.G.<br />

Combinations of glutathione S-transferase genotypes and risk of lung<br />

cancer in early onset African American and Caucasian populations:<br />

A population-based study. Carcinogenesis, 26(4):811-819, 2005.


Cote ML, Kardia SLR, Wenzlaff AS, Ruckdeschel J, Schwartz AG. Racial<br />

differences in familial aggregation of lung cancer in first degree relatives<br />

of early onset lung cancer cases. JAMA 293:3036-3042, 2005.<br />

De Roos AJ, Hartge P, Lubin J, Colt JS, Davis S, Cerhan JR, Severson<br />

RK, Cozen W, Patterson DG, Needham LL, Rothman N. Persistent<br />

organochlorine chemicals in plasma and risk of non-Hodgkin lymphoma.<br />

<strong>Cancer</strong> Res 65:11214-11226, 2005.<br />

Divine KK, Pulling LC, Marron-Terada PG, Liechty KC, Kang T, Schwartz<br />

AG, Bocklage TJ, Coons TA, Gilliland FD, Belinsky SA. Multiplicity of<br />

abnormal promoter methylation in lung adenocarcinomas from smokers<br />

and never smokers. Int J <strong>Cancer</strong> 114: 400-405, 2005.<br />

Engels EA, Cerhan JR, Linet MS, Cozen W, Colt JS, Davis S, Gridley<br />

G, Severson RK, Hartge P. Immune-related conditions and immunemodulating<br />

medications as risk factors for non-Hodgkin lymphoma:<br />

a case-control study. Am J Epidemiol 162:1153-1161, 2005.<br />

Engels EA, Chen J, Hartge P, Cerhan JR, Davis S, Severson RK, Cozen W,<br />

Viscidi RP. Antibody responses to simian virus 40 T antigen: a casecontrol<br />

study of non-Hodgkin lymphoma. <strong>Cancer</strong> Epidemiol Biomarkers<br />

Prev 14:521-524, 2005.<br />

Engels EA, Rollison DE, Hartge P, Baris D, Cerhan JR, Severson RK,<br />

Cozen W, Davis S, Biggar RJ, Goedert JJ, Viscidi RP. Antibodies to JC and<br />

BK viruses among persons with non-Hodgkin lymphoma. Int J <strong>Cancer</strong><br />

117:1013-1019, 2005.<br />

Fu JB, Kau TY, Severson RK, Kalemkerian GP. Lung cancer in women:<br />

analysis of the national Surveillance, Epidemiology and End Results<br />

database. Chest 127:768-777, 2005.<br />

Hartge P, Colt JS, Severson RK, Cerhan JR, Cozen W, Camann D, Zahm SH,<br />

Davis S. Residential Herbicide Use and Risk of Non-Hodgkin Lymphoma.<br />

<strong>Cancer</strong> Epidemiol Biomarkers Prev 14:934-937, 2005.<br />

Katz SJ, Lantz PM, Janz NK, Fagerlin A, Schwartz K, Liu L, Deapen D,<br />

Lakhani I, Morrow M. Patterns and correlates of local therapy for women<br />

with ductal carcinoma in situ. J Clin Oncol 23: 3001-7, 2005.<br />

Katz SJ, Lantz PM, Janz NK, Fagerlin A, Schwartz K, Liu L, Deapen D,<br />

Salem B, Lakhani I, Morrow M. Surgeon perspectives about local therapy<br />

for breast cancer. <strong>Cancer</strong> 104: 1854-61, 2005.<br />

Katz SJ, Lantz PM, Janz NK, Fagerlin A, Schwartz K, Liu L, Salem B,<br />

Lakhani I, Morrow M. Patient involvement in surgery treatment<br />

decisions for breast cancer. Journal of Clin Onc 23:5526-33, 2005.<br />

Lantz PM, Janz NK, Fagerlin A, Schwartz K, Liu L, Lakhani I, Salem B,<br />

Katz SJ. Satisfaction with surgery outcomes and the decision process in<br />

a population-based sample of women with breast cancer. Health Services<br />

Research 40(3):745-68, 2005.<br />

Morrow M, Mujahid M, Lantz PM, Janz NK, Fagerlin A, Schwartz K,<br />

Liu L, Deapen D, Salem B, Lahkani I, Katz SJ. Correlates of breast<br />

reconstruction: results from a population-based study. <strong>Cancer</strong><br />

104:2340-6, 2005.<br />

Morton LM, Hartge P, Holford TR, Holly EA, Chiu BCH, Vineis P, Stagnaro<br />

E, Willett EV, Franceschi S, La Vecchia C, Hughes AM, Cozen W, Davis<br />

S, Severson RK, Bernstein L, Mayne ST, Dee FR, Cerhan JR, Zheng T.<br />

Cigarette smoking and risk of non-Hodgkin lymphoma: a pooled analysis<br />

from the InterLymph consortium. <strong>Cancer</strong> Epidemiol Biomarkers Prev<br />

14:925-933, 2005.<br />

Morton LM, Zheng T, Holford TR, Holly EA, Chiu BCH, Costantini AS,<br />

Stagnaro E, Willett EV, Maso LD, Serraino D, Chang ET, Cozen W,<br />

Davis S, Severson RK, Bernstein L, Mayne ST, Dee FR, Cerhan JR,<br />

Hartge P. Alcohol consumption and risk of non-Hodgkin lymphoma:<br />

a pooled analysis from the InterLymph consortium. Lancet Oncol<br />

6:469-476, 2005.<br />

Patel DA, Barnholtz-Sloan JS, Patel MK, Malone JM Jr, Chuba PJ, Schwartz<br />

K. A survival advantage for Hispanic women with invasive cervical cancer:<br />

Analysis of Surveillance, Epidemiology, and End Results Data. Gynecol<br />

Oncol 97: 550-8, 2005.<br />

Patel DA, Bock CH, Schwartz K, Wenzlaff AS, Demers RY, Severson RK.<br />

Sexually Transmitted Diseases and Other Urogenital Conditions as Risk<br />

Factors for Prostate <strong>Cancer</strong>: A Case-Control Study in Wayne County,<br />

Michigan. <strong>Cancer</strong> Causes and Control 16: 263-273, 2005.<br />

Patel DA, Knowles A, Schwartz AG, Schwartz K. Evaluation of African<br />

American and white racial classification in a Surveillance, Epidemiology<br />

and End Results cancer registry. Ethnicity & Disease, 15:713-19, 2005.<br />

Schwartz AG. Genetic Susceptibility to Lung <strong>Cancer</strong>. In: Lung <strong>Cancer</strong>:<br />

Principles and Practice, 3rd Edition. HI Pass, JB Mitchell, D Johnson,<br />

A Turissi, J Minna (Eds). JB Lippincott, Philadelphia, PA. 2005.<br />

Schwartz AG. The Changing Face of Lung <strong>Cancer</strong>, pp628-632. American<br />

Society of Clinical Oncology Education Book. Perry MC (Ed). 2005 ASCO.<br />

Alexandria, VA.<br />

Schwartz AG, Prysak GM, Murphy V, Lonardo F, Pass H, Schwartz J,<br />

Brooks S. Nuclear estrogen receptor β in lung cancer: expression and<br />

survival differences by sex. Clinical <strong>Cancer</strong> Research 11:7280-7, 2005.<br />

Simon MS, Korczak JF, Yee CL, Schwartz AG. Racial Differences in the<br />

Familial Aggregation of Breast <strong>Cancer</strong> and Other Female <strong>Cancer</strong>s.<br />

Breast <strong>Cancer</strong> Research and Treatment 89:227-235, 2005.<br />

Wenzlaff AS, Cote ML, Bock CH, Land SJ, Santer SK, Schwartz DR,<br />

Schwartz AG. CYP1A1 and CYP1B1 polymorphisms and risk of lung<br />

cancer among never smokers: a population-based study. Carcinogenesis<br />

26: 2207-2212, 2005.<br />

Wenzlaff AS, Cote ML, Bock CH, Land SJ, Schwartz AG. GSTM1, GSTT1<br />

and GSTP1 polymorphisms, environmental tobacco smoke exposure<br />

and risk of lung cancer among never smokers: a population-based study.<br />

Carcinogenesis 26: 395-401, 2005.<br />

29


Affiliations and Acknowledgments<br />

STATE OF MICHIGAN<br />

30<br />

The cancer statistics collected and disseminated here could not have<br />

been presented without the untiring work of the cancer registrar,<br />

editing, follow-up and management teams of the Metropolitan<br />

Detroit <strong>Cancer</strong> Surveillance System. Nor could this work have been<br />

presented without the collaboration of each of the facilities on the<br />

following page and the entities listed here.<br />

Special thanks go to the Michigan Department of Community<br />

Health for their ongoing assistance, and also to the many physicians<br />

who support our efforts to ensure complete cancer reporting for<br />

tri-county residents. Finally, we would like to acknowledge the<br />

cancer patients and their families. It is to you we dedicate this work.<br />

The Metropolitan Detroit <strong>Cancer</strong> Surveillance System is funded by:<br />

The Division of <strong>Cancer</strong> Prevention and Control<br />

National <strong>Cancer</strong> <strong>Institute</strong><br />

Department of Health and Human Services<br />

SEER Contract # NO1-PC-35145


Metropolitan Detroit <strong>Cancer</strong> Surveillance System<br />

Participating Institutions<br />

The following hospitals, pathology laboratories and radiation<br />

oncology treatment facilities are participants in the Metropolitan<br />

Detroit <strong>Cancer</strong> Surveillance System. Their collaboration makes<br />

possible Detroit area population-based cancer reporting.<br />

Hospitals and Associated Path Labs, Radiation Facilities and Clinics<br />

Bon Secours Cottage Health<br />

Services<br />

Botsford General Hospital<br />

Children’s Hospital of Michigan<br />

Crittenton Hospital<br />

Detroit Receiving Hospital<br />

Garden City Osteopathic Hospital<br />

Harper Hospital<br />

Henry Ford Hospital<br />

Henry Ford Bi-County Hospital<br />

Henry Ford Hospital – Macomb<br />

Center<br />

Henry Ford Wyandotte Hospital<br />

Huron Valley-Sinai Hospital<br />

Hutzel Hospital<br />

John D. Dingell Dept. of Veterans<br />

Administration Medical Center<br />

<strong>Karmanos</strong> <strong>Cancer</strong> Center<br />

Michigan Orthopedic Specialty<br />

Hospital<br />

Monsignor Clement Kern Hospital<br />

Mt. Clemens General Hospital<br />

North Oakland Medical Center<br />

Oakwood Hospital<br />

Oakwood Annapolis Hospital<br />

Oakwood Heritage Hospital<br />

Oakwoood Southshore Medical<br />

Center<br />

Pontiac Osteopathic Hospital<br />

Regional Medical Center<br />

Providence Hospital and<br />

Medical Center<br />

St. John Detroit Riverview Hospital<br />

St. John Hospital and Medical<br />

Center<br />

St. John Macomb Hospital Center<br />

St. John Northshore Hospital<br />

St. John Oakland Hospital<br />

St. Joseph Mercy Hospital<br />

Ann Arbor*<br />

St. Joseph Mercy Hospital Oakland<br />

St. Mary Hospital<br />

Sinai-Grace Hospital<br />

Straith Memorial Hospital<br />

University Hospital Ann Arbor*<br />

Veterans Administration Medical<br />

Center-Ann Arbor*<br />

William Beaumont Hospital-<br />

Royal Oak<br />

William Beaumont Hospital-Troy<br />

31<br />

Independent Pathology Laboratories<br />

Beaumont Reference Laboratory<br />

Histopathology Associates, Inc.<br />

Oppenheimer Urologic Laboratory<br />

Tri-County Urology Laboratory<br />

Contemporary Imaging Associates<br />

Hospital Consolidated Laboratories<br />

Pinkus Laboratory<br />

University Dermatologists, PC<br />

Detroit Bio-Medical Laboratories<br />

Lakewood Pathology<br />

Quest Diagnostics, Inc.<br />

UroCor, Inc.<br />

Dianon Systems<br />

Medical Diagnostic Lab<br />

St. John Oral Pathology<br />

Hilbrich Dermatology Lab, PLC<br />

Oakwood Medical Laboratory<br />

Independent Radiation Oncology Facilities<br />

Downriver Center for Oncology<br />

Michigan <strong>Institute</strong> for Radiation<br />

Oncology<br />

Radiation Therapy Associates<br />

*Hospital not located in the tri-county area.


Appendix A<br />

Michigan Public Health Code (Excerpts)<br />

Act 368 of 1978<br />

32<br />

333.2619 <strong>Cancer</strong> registry; establishment; purpose; reports; records;<br />

rules; medical or department examination or supervision not<br />

required; contracts; evaluation of reports; publication of summary<br />

reports; commencement of reporting; effective date of section.<br />

Sec. 2619.<br />

(1) The department shall establish a registry to record cases<br />

of cancer and other specified tumorous and precancerous<br />

diseases that occur in the state, and to record<br />

information concerning these cases as the department<br />

considers necessary and appropriate in order to conduct<br />

epidemiologic surveys of cancer and cancer-related<br />

diseases in the state.<br />

(2) Each diagnosed case of cancer and other specified<br />

tumorous and precancerous diseases shall be reported to<br />

the department pursuant to subsection (4), or reported<br />

to a cancer reporting registry if the cancer reporting<br />

registry meets standards established pursuant to<br />

subsection (4) to ensure the accuracy and completeness of<br />

the reported information. A person or facility required to<br />

report a diagnosis pursuant to subsection (4) may elect to<br />

report the diagnosis to the state through an existing cancer<br />

registry only if the registry meets minimum reporting<br />

standards established by the department.<br />

(3) The department shall maintain comprehensive records<br />

of all reports submitted pursuant to this section. These reports<br />

shall be subject to the same requirements of confidentiality as<br />

provided in section 2631 for data or records concerning medical<br />

research projects.<br />

(4) The director shall promulgate rules which provide for<br />

all of the following:<br />

(a) A list of tumorous and precancerous diseases other than<br />

cancer to be reported pursuant to subsection (2).<br />

(b) The quality and manner in which the cases and other<br />

information described in subsection (1) are reported<br />

to the department.<br />

(c) The terms and conditions under which records disclosing the<br />

name and medical condition of a specific individual and kept<br />

pursuant to this section are released by the department.<br />

(5) This section does not compel an individual to submit<br />

to medical or department examination or supervision.<br />

(6) The department may contract for the collection and<br />

analysis of, and research related to, the epidemiologic<br />

data required under this section.<br />

(7) Within 2 years after the effective date of this section, the<br />

department shall begin evaluating the reports collected<br />

pursuant to subsection (2). The department shall publish<br />

and make available to the public reports summarizing the<br />

information collected. The first summary report shall be<br />

published not later than 180 days after the end of the first<br />

2 full calendar years after the effective date of this section.<br />

Subsequent annual summary reports shall be made on a full<br />

calendar year basis and published not later than 180 days after<br />

the end of each calendar year.<br />

(8) Reporting pursuant to subsection (2) shall begin the next<br />

calendar year after the effective date of this section.<br />

(9) This section shall take effect July 1, 1984.<br />

History: Add. 1984, Act 82, Eff. July 1, 1984<br />

Popular Name: Act 368<br />

333.2621 Comprehensive policy for conduct and support of<br />

research and demonstration activities; conducting and supporting<br />

demonstration projects and scientific evaluations.<br />

Sec. 2621.<br />

(1) The department shall establish a comprehensive policy<br />

pursuant to and consistent with section 2611(2) for the<br />

conduct and support of research and demonstration activities<br />

related to the department’s responsibility for the health care<br />

needs of the people of this state.<br />

(2) The department shall conduct research and demonstration<br />

activities related to the department’s responsibility for the<br />

environmental, preventive, and personal health needs of the<br />

communities and people of this state, including:<br />

(a) The causes, effects, and methods of prevention of illness.<br />

(b) The determinants of health, including behavior related<br />

to health.<br />

(c) The accessibility, acceptability, availability, organization,<br />

distribution, utilization, quality, and financing of health<br />

care, especially those services for the medically needy.<br />

(3) The department may conduct and support demonstration<br />

projects to carry out subsection (2).<br />

(4) The department shall conduct or support the conduct of<br />

scientific evaluations of the effectiveness, efficiency, and<br />

relevance of programs conducted or supported by the<br />

department.<br />

History: 1978, Act 368, Eff. Sept. 30, 1978<br />

Popular Name: Act 368


333.2631 Data concerning medical research project;<br />

confidentiality; use.<br />

Sec. 2631.<br />

The information, records of interviews, written reports,<br />

statements, notes, memoranda, or other data or records<br />

furnished to, procured by, or voluntarily shared with the<br />

department in the conduct of a medical research project,<br />

or a person, agency, or organization which has been designated<br />

in advance by the department as a medical research project<br />

which regularly furnishes statistical or summary data with<br />

respect to that project to the department for the purpose of<br />

reducing the morbidity or mortality from any cause or condition<br />

of health are confidential and shall be used solely for statistical,<br />

scientific, and medical research purposes relating to the cause<br />

or condition of health.<br />

History: 1978, Act 368, Eff. Sept. 30, 1978<br />

Popular Name: Act 368<br />

333.2632 Data concerning medical research project; inadmissible<br />

as evidence; exhibition or disclosure.<br />

Sec. 2632.<br />

The information, records, reports, statements, notes,<br />

memoranda, or other data described in section 2631 are not<br />

admissible as evidence in an action in a court or before any<br />

other tribunal, board, agency, or person. Furnishing the data<br />

to the department in the conduct of a medical research project<br />

or to a designated medical research project does not result in<br />

the loss of any privilege which the data may otherwise have<br />

making them inadmissible as evidence. The information, records,<br />

reports, notes, memoranda, or other data shall not be exhibited<br />

nor their contents disclosed in any way, in whole or in part, by<br />

the department or its representative, or by any other person,<br />

agency, or organization, except as is necessary for the purpose<br />

of furthering the medical research project to which they relate<br />

consistent with section 2637 and the rules promulgated under<br />

section 2678. A person participating in a designated medical<br />

research project shall not disclose the information obtained<br />

except in strict conformity with the research project.<br />

History: 1978, Act 368, Eff. Sept. 30, 1978<br />

Popular Name: Act 368<br />

333.2633 Data concerning medical research projects; liability for<br />

furnishing.<br />

Sec. 2633.<br />

The furnishing of information, records, reports, statements,<br />

notes, memoranda, or other data to the department, either<br />

voluntarily or as required by this code, or to a person, agency, or<br />

organization designated as a medical research project does not<br />

subject a physician, hospital, sanatorium, rest home, nursing<br />

home, or other person or agency furnishing the information,<br />

records, reports, statements, notes, memoranda, or other data<br />

to liability in an action for damages or other relief, and is not<br />

considered to be the willful betrayal of a professional secret or the<br />

violation of a confidential relationship.<br />

History: 1978, Act 368, Eff. Sept. 30, 1978 ;-- Am. 1988, Act 122,<br />

Eff. Mar. 30, 1989<br />

Popular Name: Act 368<br />

33<br />

Rendered 6/7/2005 16:58:30<br />

Michigan Compiled Laws<br />

© 2004 Legislative Council, State of Michigan Rendered 6/7/2005 16:58:30 Michigan Compiled © 2005 Laws Legislative Complete Council, Through State PA of 33 Michigan of 2005<br />

© 2005 Legislative Council, State of Michigan Courtesy of www.legislature.mi.gov Courtesy of www.legislature.mi.gov


Appendix A (continued)<br />

Health Insurance Portability and Accountability Act of 1996 (Excerpts)<br />

Law and Federal Rules (Excerpts); Public Law 104-191; 104th Congress; August 21, 1996<br />

34<br />

AN ACT<br />

To amend the Internal Revenue Code of 1986 to improve portability<br />

and continuity of health insurance coverage in the group and<br />

individual markets, to combat waste, fraud, and abuse in health<br />

insurance and health care delivery, to promote the use of medical<br />

savings accounts, to improve access to long-term care services and<br />

coverage, to simplify the administration of health insurance, and<br />

for other purposes.<br />

• • •<br />

TITLE I--HEALTH CARE ACCESS, PORTABILITY,<br />

AND RENEWABILITY<br />

• • •<br />

TITLE II--PREVENTING HEALTH CARE FRAUD AND ABUSE;<br />

ADMINISTRATIVE SIMPLIFICATION; MEDICAL LIABILITY<br />

REFORM<br />

• • •<br />

Part C--Administrative Simplification<br />

Sec. 1171. Definitions.<br />

Sec. 1172. General requirements for adoption of standards.<br />

Sec. 1173. Standards for information transactions and data<br />

elements.<br />

Sec. 1174. Timetables for adoption of standards.<br />

Sec. 1175. Requirements.<br />

Sec. 1176. General penalty for failure to comply with<br />

requirements and standards.<br />

Sec. 1177. Wrongful disclosure of individually identifiable health<br />

information.<br />

Sec. 1178. Effect on State law.<br />

Sec. 1179. Processing payment transactions.<br />

• • •<br />

SEC. 264. RECOMMENDATIONS WITH RESPECT TO PRIVACY OF<br />

CERTAIN HEALTH INFORMATION.<br />

(a) IN GENERAL.--Not later than the date that is 12 months<br />

after the date of the enactment of this Act, the Secretary of<br />

Health and Human Services shall submit to the Committee on<br />

Labor and Human Resources and the Committee on Finance of<br />

the Senate and the Committee on Commerce and the Committee<br />

on Ways and Means of the House of Representatives detailed<br />

recommendations on standards with respect to the privacy of<br />

individually identifiable health information.<br />

(b) SUBJECTS FOR RECOMMENDATIONS.--The<br />

recommendations under subsection (a) shall address<br />

at least the following:<br />

(1) The rights that an individual who is a subject of<br />

individually identifiable health information should have.<br />

(2) The procedures that should be established for the exercise<br />

of such rights.<br />

(3) The uses and disclosures of such information that should<br />

be authorized or required.<br />

(c) REGULATIONS.--<br />

(1) IN GENERAL.--If legislation governing standards with<br />

respect to the privacy of individually identifiable health<br />

information transmitted in connection with the transactions<br />

described in section 1173(a) of the Social Security Act (as<br />

added by section 262) is not enacted by the date that is<br />

36 months after the date of the enactment of this Act, the<br />

Secretary of Health and Human Services shall promulgate<br />

final regulations containing such standards not later than<br />

the date that is 42 months after the date of the enactment<br />

of this Act. Such regulations shall address at least the subjects<br />

described in subsection (b).<br />

(2) PREEMPTION--A regulation promulgated<br />

under paragraph (1) shall not supercede a contrary<br />

provision of State law, if the provision of State law<br />

imposes requirements, standards, or implementation<br />

specifications that are more stringent than the<br />

requirements, standards, or implementation<br />

specifications imposed under the regulation.<br />

EFFECT ON STATE LAW<br />

• • •<br />

• • •<br />

SEC. 1178. EFFECT ON STATE LAW<br />

(b) PUBLIC HEALTH.--Nothing in this part shall be<br />

construed to invalidate or limit the authority, power, or<br />

procedures established under any law providing for the<br />

reporting of disease or injury, child abuse, birth, or death,<br />

public health surveillance, or public health investigation<br />

or intervention.<br />

(c) STATE REGULATORY REPORTING.--Nothing in this<br />

part shall limit the ability of a State to require a health<br />

plan to report, or to provide access to, information for<br />

management audits, financial audits, program monitoring<br />

and evaluation, facility licensure or certification, or<br />

individual licensure or certification.<br />

• • •<br />

Source: http://aspe.hhs.gov/admnsimp/pl104191.htm (emphasis added)


Appendix B<br />

State of Michigan Letter of Authority<br />

The text of the original letter shown on page 6 has been reproduced here for ease of review.<br />

August 5, 2003<br />

Ann G. Schwartz, PhD, MPH, Director<br />

Metropolitan Detroit <strong>Cancer</strong> Surveillance System<br />

Wayne State University<br />

110 East Warren Avenue<br />

Detroit, Michigan 48201-1379<br />

Dear Dr. Schwartz:<br />

Michigan law requires the Michigan Department of Community<br />

Health to establish a state-wide cancer registry to “record cases of<br />

cancer and other specified tumorous and precancerous diseases....”<br />

MCLA 333.2619(1). All health care facilities where diagnoses of<br />

cancer occur are required to report such diagnoses. Pursuant to<br />

this statute, a facility may satisfy their reporting requirement by<br />

reporting the diagnoses to an existing cancer registry that “meets<br />

the minimum reporting standards established by the department.”<br />

MCLA 333.2619(2). The Metropolitan Detroit <strong>Cancer</strong> Surveillance<br />

System (MDCSS) housed at Wayne State University is such a<br />

cancer registry. The Michigan Department of Community Health<br />

ahs granted for many years — and continues to grant — authority<br />

for the collection of individually identifiable cancer diagnoses,<br />

treatment, and survival to the MDCSS. This authority is valid for<br />

the duration of the project unless terminated earlier.<br />

The MDCSS is also a designated medical research project of the<br />

state. This designation is made under the authority of sections<br />

333.2621 through 333.2634 of the Michigan Compiled Laws,<br />

as amended. The designation of the MDCSS cancer registration<br />

effort as a medical research project has the effect of shielding<br />

the data you assemble from use as evidence in a court, as well as<br />

providing protection from liability to those facilities that provide<br />

you with the data. It also obligates you to continue to maintain the<br />

confidentiality of these data in strict conformity to the objectives<br />

of your research effort.<br />

Federal privacy regulations, adopted under the Health Insurance<br />

Portability and Accountability Act (HIPAA), allow “covered entities”<br />

(such as hospitals) to disclose individually-identifiable cancer<br />

data for public health purposes. In this regard, the HIPAA privacy<br />

regulations state that an individual authorization is not required to<br />

disclose protected health information to a “public health authority<br />

that is authorized by law to collect or receive such information<br />

for the purpose of preventing or controlling disease, injury, or<br />

disability, … and the conduct of public health surveillance, public<br />

health investigations, and public health interventions.” 45 CFR<br />

§164.512(b)(1)(i).<br />

The Michigan Department of Community Health is a public health<br />

authority under the HIPAA. It is authorized by the Public Health<br />

Code to collect and utilize health information, provide for research<br />

studies for the purpose of protecting the public health, and make<br />

investigations and inquiries as to the causes of disease and the<br />

causes of morbidity and mortality. MCL 333.2221. Indeed, the<br />

Department must establish a comprehensive health information<br />

system that includes statistics relative to the causes, effects, extent,<br />

and nature of illness and disability of the people of this state. MCL<br />

333.2616-2617. Additionally, as stated above, the Public Health<br />

Code specifically requires that the Department establish a statewide<br />

cancer registry to record information regarding cancer and cancerrelated<br />

diseases. MCL 333.2619.<br />

A “public health authority” includes a person or entity acting under<br />

a grant of authority from the Michigan Department of Community<br />

Health. Based upon both the state statutes and federal regulations,<br />

the Department recognizes the MDCSS as a state-authorized entity<br />

for the collection and reporting of individually-identifiable cancer<br />

information and as a state-authorized medical research project.<br />

This means that the HIPAA Privacy Rule allows covered entities<br />

to report cancer data to MDCSS without individual authorization;<br />

hospitals and other covered entities must simply document that<br />

reporting has occurred. The grant of authority to MDCSS includes<br />

all information reasonably necessary to identify and track patients<br />

and their diagnoses, treatment, subsequent primaries and survival<br />

status. The information being requested represents the minimum<br />

necessary to carry out the public health purposes of the projects<br />

pursuant to 45 CFR §164.514(d) of the Privacy Rule.<br />

The association between the Michigan Department of Community<br />

Health and the Wayne State Unviersity has a long history, dating<br />

back several decades. By assembling cancer data from the many<br />

participating hospitals and laboratories, your efforts contribute<br />

significantly to the efficiency and the quality of the statewide<br />

cancer registry effort. The close consultation and collaboration<br />

with your organization on specific research efforts, cancer control<br />

issues and general data collection and processing concerns have<br />

proven very beneficial to the many cancer related activities<br />

ongoing within the department.<br />

Sincerely,<br />

Janet Olszewski<br />

Director<br />

35


Metropolitan Detroit <strong>Cancer</strong> Surveillance System<br />

Epidemiology Section | 110 E. Warren Avenue | Detroit, MI 48201<br />

For Additional Information:<br />

Telephone: (313) 578-4231<br />

Fax: (313) 578-4306<br />

http://seer.cancer.gov/registries/detroit.html<br />

36<br />

Prepared By<br />

Md. Khairul Islam, Ph.D.<br />

Biostatistician, Epidemiology Section<br />

Fawn D. Vigneau, J.D., M.P.H.<br />

Manager of Research, Epidemiology Section<br />

Patricia Arballo-Spong, B.S.<br />

SEER Project Coordinator<br />

John J. Graff, Ph.D., M.S.<br />

Chief of <strong>Cancer</strong> Surveillance Research<br />

Contributing Authors<br />

John J. Graff, Ph.D., M.S.<br />

Michele L. Cote, Ph.D.<br />

Julie J. Ruterbusch, M.P.H. and Kendra Schwartz, M.D., M.S.P.H.<br />

Jennifer L. Beebe-Dimmer, Ph.D., M.P.H.<br />

George W. Dombi, Ph.D., Cecilia Yee, M.S., Richard K. Severson,<br />

Ph.D., Jeannette Korczak, Ph.D. and Ikuko Kato, M.D., Ph.D.<br />

Leadership Team<br />

Ann G. Schwartz, Ph.D., M.P.H.<br />

Director, Metropolitan Detroit <strong>Cancer</strong> Surveillance System<br />

SEER Principal Investigator<br />

Associate Center Director, Population Sciences<br />

Kendra Schwartz, M.D., M.S.P.H.<br />

SEER Co-Investigator<br />

John Graff, Ph.D., M.S.<br />

Chief of <strong>Cancer</strong> Surveillance Research<br />

SEER Co-Investigator<br />

Fawn D. Vigneau, J.D., M.P.H.<br />

Manager of Research, Epidemiology Section<br />

Patricia Arballo-Spong, B.S.<br />

SEER Project Coordinator<br />

Sharon Moton, B.S.<br />

Administrator<br />

Joanne Harris, C.T.R.<br />

Chief of <strong>Cancer</strong> Surveillance<br />

Nancy Lozon, B.S., C.T.R.<br />

Manager of <strong>Cancer</strong> Surveillance – Office Operations<br />

Patrick Nicolin, B.A., C.T.R.<br />

Manager of <strong>Cancer</strong> Surveillance – Quality Control and Field Operations<br />

Inhee Han, B.S.<br />

Senior Applications Analyst<br />

Gloria Kwiatkowski, B.S.<br />

Senior Applications Analyst<br />

Published February 2008

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