Cancer Statistics - Karmanos Cancer Institute
Cancer Statistics - Karmanos Cancer Institute
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