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 #
5R01CA076016-05
Application #
6513136
Study Section
Special Emphasis Panel (ZRG4-HPD (08))
Program Officer
Seminara, Daniela
Project Start
1998-09-01
Project End
2003-08-31
Budget Start
2002-07-01
Budget End
2003-08-31
Support Year
5
Fiscal Year
2002
Total Cost
$425,589
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
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
Dixon, Suzanne C; Nagle, Christina M; Wentzensen, Nicolas et al. (2017) Use of common analgesic medications and ovarian cancer survival: results from a pooled analysis in the Ovarian Cancer Association Consortium. Br J Cancer 116:1223-1228
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

Showing the most recent 10 out of 102 publications