Abstract

This is an application for a population-based, case-control study of ovarian cancer in North Carolina. It proposes to conduct home interviews and take blood from 700 new cases, identified through a rapid reporting system, and 700 controls, identified through random digit dialing (RDD) and Health Care Financing Administration (HCFA) files. Tumor tissues will be tested for p53 mutations and for HER-2/neu amplification: the first using immunohistochemical staining supplemented by sequencing; and the second using FISH. Genomic DNA will be tested for polymorphisms in the genes for TP53, H-Ras, CYP17 and epoxide hydrolase. The general hypothesis is that ovarian cancer is a heterogeneous disease caused by several different mutational pathways. The application proposes to test this by analyzing subgroups of the data defined by tumors with or without mutations in p53, different histologic types and different polymorphisms. Published preliminary studies have already shown an association with abnormal expression of p53 in ovarian tumors and epidemiologic markers of ovulation.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
1R01CA076016-01A1
Application #
2696948
Study Section
Special Emphasis Panel (ZRG4-HPD (08))
Program Officer
Seminara, Daniela
Project Start
1998-09-01
Project End
2003-06-30
Budget Start
1998-09-01
Budget End
1999-06-30
Support Year
1
Fiscal Year
1998
Total Cost
Indirect Cost

  Institution

Name
Duke University
Department
Public Health & Prev Medicine
Type
Schools of Medicine
DUNS #
071723621
City
Durham
State
NC
Country
United States
Zip Code
27705

  Publications

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
Peres, Lauren C; Risch, Harvey; Terry, Kathryn L et al. (2018) Racial/ethnic differences in the epidemiology of ovarian cancer: a pooled analysis of 12 case-control studies. Int J Epidemiol 47:460-472
Peres, Lauren C; Cushing-Haugen, Kara L; Anglesio, Michael et al. (2018) Histotype classification of ovarian carcinoma: A comparison of approaches. Gynecol Oncol 151:53-60
Liu, Gang; Mukherjee, Bhramar; Lee, Seunggeun et al. (2018) Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence. Am J Epidemiol 187:366-377
Praestegaard, Camilla; Jensen, Allan; Jensen, Signe M et al. (2017) Cigarette smoking is associated with adverse survival among women with ovarian cancer: Results from a pooled analysis of 19 studies. Int J Cancer 140:2422-2435
Glubb, Dylan M; Johnatty, Sharon E; Quinn, Michael C J et al. (2017) Analyses of germline variants associated with ovarian cancer survival identify functional candidates at the 1q22 and 19p12 outcome loci. Oncotarget 8:64670-64684
Minlikeeva, Albina N; Freudenheim, Jo L; Eng, Kevin H et al. (2017) History of Comorbidities and Survival of Ovarian Cancer Patients, Results from the Ovarian Cancer Association Consortium. Cancer Epidemiol Biomarkers Prev 26:1470-1473
Minlikeeva, Albina N; Freudenheim, Jo L; Cannioto, Rikki A et al. (2017) History of thyroid disease and survival of ovarian cancer patients: results from the Ovarian Cancer Association Consortium, a brief report. Br J Cancer 117:1063-1069
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

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