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2008 Barcelona - European Society of Human Genetics

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Cancer genetics<br />

203G>A among patients with sporadic breast and ovarian cancer,<br />

patients with the same types <strong>of</strong> cancer with BRCA1 mutations and a<br />

control sample . It was shown that genotype E1038E-N372N-203AA<br />

was associated with ovarian cancer risk for both sporadic and BRCA1associated<br />

ovarian cancer (OR=6,8; P=0,04) . At the same time, genotypes<br />

E1038E-N372H-203GA and G1038G-N372N-203GA were associated<br />

with decreased ovarian cancer risk (OR=0,2; 0,1; P=0,04;<br />

0,02, respectively) . In the sample <strong>of</strong> sporadic breast cancer genotype<br />

E1038E-203GA was associated with decreased risk independently on<br />

N372H genotypes (OR=0,1; P=0,0001) and G1038G-N372N - independently<br />

on 203G>A (OR=0,2; P=0,01) . The sporadic breast cancer<br />

risk was increased under E1038G-N372H (OR=2,1;P=0,04) . There<br />

was no difference <strong>of</strong> any genotype frequencies and their combinations<br />

between BRCA1 mutation carriers with breast cancer and control<br />

sample. This may means that no risk modifications are required for<br />

breast cancer localization under BRCA1 mutations . Thus the genotype<br />

combination increasing cancer risk is different for ovarian and sporadic<br />

breast cancer and those decreasing cancer risk are the same but degenerated<br />

on N372H under breast cancer . The results demonstrate<br />

that different genotype combination on the same SNPs may have<br />

influence on modificating cancer risk <strong>of</strong> definite localization. The risk<br />

genotypes on several SNPs may include both hetorozygotes and homozygotes<br />

as on rare so on frequent alleles . It is necessary take into<br />

account under polygene influence analysis.<br />

P04.060<br />

molecular cytogenetic analysis <strong>of</strong> malignant ovarian tumours<br />

R. Mihalova 1 , P. Lnenicka 1 , N. Jancarkova 2 , M. Vrbova 1 , M. Janashia 1 , M. Krkavcova<br />

1 , M. Kohoutova 1 ;<br />

1 Institute <strong>of</strong> Biology and Medical <strong>Genetics</strong> <strong>of</strong> the 1st Faculty <strong>of</strong> Medicine and<br />

General Teaching Hospital, Charles University, Prague, Czech Republic, 2 Department<br />

<strong>of</strong> Gynaecology and Obstetrics <strong>of</strong> the 1st Faculty <strong>of</strong> Medicine and<br />

General Teaching Hospital, Charles University, Prague, Czech Republic.<br />

Ovarian cancer represents almost 30 % <strong>of</strong> the malignancies <strong>of</strong> the female<br />

genital tract with the highest mortality <strong>of</strong> all <strong>of</strong> the gynaecological<br />

cancers . Unfortunately, majority <strong>of</strong> patients is diagnosed at advance<br />

stage <strong>of</strong> the disease . The genetic changes involved in pathogenesis<br />

<strong>of</strong> ovarian cancer are still not completely understood . Currently<br />

there are no specific prognostic markers for prediction <strong>of</strong> the disease<br />

course, for earlier diagnostics or for individual therapeutic strategies .<br />

One <strong>of</strong> possible biological markers <strong>of</strong> great importance are chromosome<br />

changes . Chromosome aberrations in ovarian tumour cells are<br />

highly complex with hypodiploid or polyploid constitution . The aim <strong>of</strong><br />

the study is to determine significant chromosome changes as reliable<br />

predictive markers .<br />

We examined 30 ovarian cancer samples by comparative genomic hybridization<br />

. Chromosome imbalances were detected in 90 % <strong>of</strong> tumour<br />

samples . The most frequent recurrent changes were gains <strong>of</strong> 1q, 3q,<br />

8q and 20q and losses <strong>of</strong> 4p, 4q, 18p, 18q, 19q and 22q . The results <strong>of</strong><br />

molecular cytogenetic analysis were correlated with histological/morphological<br />

and clinical findings. Summarized data showed that significance<br />

<strong>of</strong> chromosome changes in our patients is relatively low . Despite<br />

<strong>of</strong> these results particular chromosome regions were assumed to be<br />

involved in ovarian cancerogenesis . These regions are worthy <strong>of</strong> further<br />

investigations considering the presence <strong>of</strong> candidate genes .<br />

Supported by grant MSM 0021620808 .<br />

P04.061<br />

Aberrant promoter methylation <strong>of</strong> GPR 0, ITGA and HOXD<br />

in ovarian cancers induced by PRTFDC silencing<br />

A. Kondo1 , L. Cai1,2 , M. Abe2 , Y. Morita1 , H. Yokoyama1 , S. Izumi1 , T. Ushijima2 ;<br />

1 2 Tokai University, Isehara, Japan, National Cancer Center Research Institute,<br />

Tokyo, Japan.<br />

It is known that methylated CpG island (CGIs) in promoter region<br />

could be seen in tumor-suppressor genes and disease markers . In<br />

this study, we performed a genome-wide screening for altered methylated<br />

DNA fragments with methylation-sensitive-representational difference<br />

analysis (MS-RDA) to show aberrant promoter methylation <strong>of</strong><br />

CpG island in human ovarian cancers . We have obtained 185 DNA<br />

fragments specifically methylated in an ovarian cancer cell line (ES-<br />

2) . We used a normal human ovarian epithelial cell line, HOSE6-3<br />

as a control . In this control cell line, 33 DNA fragments were derived<br />

from putative promoter CGIs . Ten ovarian cancer cell lines were ana-<br />

lyzed by methylation-specific PCR, and seven (GPR150, LOC222171,<br />

PRTFDC1, LOC339210, ITGA8, C9orf64 and HOXD11) <strong>of</strong> the 33 CGIs<br />

were methylated in one or more <strong>of</strong> the cell lines . Expression <strong>of</strong> down<br />

stream genes <strong>of</strong> those methylated CGIs were analyzed by quantitative<br />

reverse-transcription-PCR and the result showed that those genes<br />

were not expressed in cell lines without unmethylated DNA . Demethylation<br />

<strong>of</strong> methylated cell lines with 5-aza-2’-deoxycytidine restored<br />

expression <strong>of</strong> two genes (PRTFDC1 and C9orf64) . In primary ovarian<br />

cancers, CGIs <strong>of</strong> GPR150 (in 4 <strong>of</strong> 15 cancers), ITGA8 (2/15),<br />

PRTFDC1 (1/15), and HOXD11 (1/15) were methylated. Silencing <strong>of</strong><br />

PRTFDC1 was revealed that aberrant methylation <strong>of</strong> GPR150, ITGA8<br />

and HOXD11 could be candidate as tumor markers .<br />

P04.062<br />

the study <strong>of</strong> P53 gene nutations in patients <strong>of</strong> breast cancer in<br />

Rafsanjan city<br />

M. Mirzaei Abbasabadi, M. Hajizadeh, M. Mirzaee Abbasabadi, M. Mahmudi,<br />

G. Asadi karam, E. Rezazadeh, M. Asiabanan;<br />

Medical University <strong>of</strong> Rafsanjan, Rafsanjan, Islamic Republic <strong>of</strong> Iran.<br />

Background: P53 gene Mutation is the most common genetic change<br />

in human neoplasia . In breast Cancer, p53 mutation is associated with<br />

more aggressive disease and worse overall survival . The PCR-SSCP<br />

is the common test for mutation analysis <strong>of</strong> p53 .<br />

Materials and methods: DNA extraction from 48 paraffin Tissue samples<br />

<strong>of</strong> patients done by standard Phenol chlor<strong>of</strong>orm method, exons<br />

5-8 amplified by PCR and PCR products underwent SSCP gel analysis<br />

for detection <strong>of</strong> probable mutations .<br />

Results: Abnormal movement <strong>of</strong> PCR products band in SSCP gel that<br />

stained with silver nitrate reported as mutation . We found three mutations<br />

in exon 5, 2 in exon 6, one in exon 7 and 2 in exon8 .<br />

Discussion: Detection <strong>of</strong> P53 gene mutations can be helpful in pre<br />

diagnosis and prevention <strong>of</strong> breast cancer and so in treatment . These<br />

mutations occur in normal or benign breast tissue but resolutions <strong>of</strong><br />

this role in the pathogenesis or breast cancer will require long-term<br />

follow-up studies .<br />

P04.063<br />

p53, p63 and p73 is<strong>of</strong>orms in breast cancer<br />

Z. Milicevic 1 , V. Bajic 2 , B. Potparevic-Spremo 3 , L. Zivkovic 3 ;<br />

1 “VINCA” Institute <strong>of</strong> Nuclear Sciences, Laboratory for Molecular Biology and<br />

Endocrinology, Belgrade, Serbia, 2 Institute <strong>of</strong> Biomedical Research Galenika,<br />

Belgrade, Serbia, 3 Faculty <strong>of</strong> Pharmacy, Institute <strong>of</strong> Physiology, Department <strong>of</strong><br />

Biology and <strong>Human</strong> genetics, Belgrade, Serbia.<br />

The spectrum <strong>of</strong> genetic alterations identified in cancer cells includes<br />

mutations in various genes leading to structural and functional dysfunctions<br />

in signal transmission as well es over-or under expression<br />

<strong>of</strong> positive or negative signal generating proteins . Recently, two family<br />

members <strong>of</strong> the suppressor gene p53 have been described, p63 and<br />

p73, which seem to be necessary for specific p53-induced stress-response<br />

pathways .<br />

Furthermore, p63 and p73 appears to be crucial to determine the cellular<br />

sensitivity to anticancer drugs, particularly in tumors lacking functional<br />

p53 .<br />

For analysis we used invasive breast carcinoma <strong>of</strong> common types<br />

with a different differentiation and stages as well as a normal brest<br />

tissue from patients with benign and malignant tumors . Protein p53expression<br />

was estimated by Western blot analysis using anti p53 Abs<br />

DO-7 and CM-1 . Our data show that brest cancer cells express nine<br />

different is<strong>of</strong>orms <strong>of</strong> p53, p63 and p73 . The changes in the interactions<br />

between p53,p63 and p73 is<strong>of</strong>orms are likely to be fundamental to our<br />

understanding in the transition between normal cell cycling and the<br />

onset <strong>of</strong> tumor formation .<br />

Therefore, determination <strong>of</strong> p53 status in clinical studies is much more<br />

complex than hitherto appreciated . It suggests that it requires an integrated<br />

and complex analysis <strong>of</strong> p53 is<strong>of</strong>orm expressions associated<br />

with p53 mutation analysis and immunohistichemistry . To date, no clinical<br />

studies have integrated all those p53 parameters to determine p53<br />

status .<br />

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