In the United States in 1992, there were about 21,000 new cases of cancer of the ovary, and approximately 13,000 women died from it, making it the most lethal of the gynecological malignancies. Over a lifetime, close to 2 percent of women are affected. Ovarian cancer is difficult to treat because patients frequently present late in the course of the disease, which may be asymptomatic until advanced stages. The few established risk factors do not appear to account for a large fraction of disease incidence, and the possible mechanisms by which these factors affect risk of developing ovarian cancer are not well understood. Current work suggests that between 5-10 percent of ovarian cancers are familial. While not all women in families so affected get the disease, they are at greatly increased risk for it, as well as for breast cancer. A population-based study in the province of Ontario, Canada, is thus proposed to ascertain differences in reproductive, lifestyle and other risk factors between genetic and non-genetic cases, and between genetic cases and their unaffected gene-carrying sisters and first-cousins. The fraction of all ovarian-cancer cases in the population that are from families with hereditary ovarian cancer or with the breast-ovarian cancer syndrome will also be estimated. In total, approximately 120 newly-diagnosed genetic cases of epithelial ovarian cancer will be identified over a 4.3-year period, by obtaining pedigree information from all cases occurring in the province during that time. For comparison, 120 unaffected gene-carrying sisters and first-cousins of the cases will be identified, as well as a random sample 260 non-genetic cases of ovarian cancer. All of the subjects will be interviewed by a trained genetic-counselor/interviewer using a standardized structured questionnaire, to ascertain information about ethnicity, education, various medical conditions, lifestyle factors, and an extensive description of menstrual characteristics, pregnancies, hormone and contraception usage, and infertility factors. For use in the genetic linkage analyses, pedigree information and blood samples will be obtained from subjects and members of their extended families, along with hospital pathology reports for family members identified as having had ovarian or breast cancer. Paraffin-embedded tissue blocks will be recovered for many of the deceased family members who had ovarian or breast cancer. The blood samples and paraffin blocks will be used to test for five genetic markers surrounding BRCA1, the breast-ovarian cancer susceptibility gene, located on chromosome 17. Because this study will identify individuals at high risk of breast or ovarian cancer, all women in this study (and their family members) will be invited to attend without charge the Familial Ovarian Cancer Clinic at Toronto General Hospital, for screening, counseling and continued follow-up. This project is performed in collaboration with another on the natural history of BRCA1 carriers, and a third on the molecular epidemiology of breast cancer.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA063682-05
Application #
2733082
Study Section
Special Emphasis Panel (SRC (70))
Program Officer
Seminara, Daniela
Project Start
1994-09-30
Project End
2000-06-30
Budget Start
1998-07-01
Budget End
2000-06-30
Support Year
5
Fiscal Year
1998
Total Cost
Indirect Cost
Name
Yale University
Department
Public Health & Prev Medicine
Type
Schools of Medicine
DUNS #
082359691
City
New Haven
State
CT
Country
United States
Zip Code
06520
Harris, Holly R; Babic, Ana; Webb, Penelope M et al. (2018) Polycystic Ovary Syndrome, Oligomenorrhea, and Risk of Ovarian Cancer Histotypes: Evidence from the Ovarian Cancer Association Consortium. Cancer Epidemiol Biomarkers Prev 27:174-182
Lu, Yingchang; Beeghly-Fadiel, Alicia; Wu, Lang et al. (2018) A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk. Cancer Res 78:5419-5430
Ong, Jue-Sheng; Hwang, Liang-Dar; Cuellar-Partida, Gabriel et al. (2018) Assessment of moderate coffee consumption and risk of epithelial ovarian cancer: a Mendelian randomization study. Int J Epidemiol 47:450-459
Akbari, Mohammad R; Zhang, Shiyu; Cragun, Deborah et al. (2017) Correlation between germline mutations in MMR genes and microsatellite instability in ovarian cancer specimens. Fam Cancer 16:351-355
Kim, Shana J; Rosen, Barry; Fan, Isabel et al. (2017) Epidemiologic factors that predict long-term survival following a diagnosis of epithelial ovarian cancer. Br J Cancer 116:964-971
Reid, Brett M; Permuth, Jennifer B; Chen, Y Ann et al. (2017) Integration of Population-Level Genotype Data with Functional Annotation Reveals Over-Representation of Long Noncoding RNAs at Ovarian Cancer Susceptibility Loci. Cancer Epidemiol Biomarkers Prev 26:116-125
Kotsopoulos, Joanne; Sopik, Victoria; Rosen, Barry et al. (2017) Frequency of germline PALB2 mutations among women with epithelial ovarian cancer. Fam Cancer 16:29-34
Kar, Siddhartha P; Adler, Emily; Tyrer, Jonathan et al. (2017) Enrichment of putative PAX8 target genes at serous epithelial ovarian cancer susceptibility loci. Br J Cancer 116:524-535
Rasmussen, Christina B; Kjaer, Susanne K; Albieri, Vanna et al. (2017) Pelvic Inflammatory Disease and the Risk of Ovarian Cancer and Borderline Ovarian Tumors: A Pooled Analysis of 13 Case-Control Studies. Am J Epidemiol 185:8-20
Cuellar-Partida, Gabriel; Lu, Yi; Dixon, Suzanne C et al. (2016) Assessing the genetic architecture of epithelial ovarian cancer histological subtypes. Hum Genet 135:741-56

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