In response to a letter RFA for the continuation of the Cooperative Family Registry for Breast Cancer Studies (CFRBCS), this proposal is one of six U-O1 proposals being submitted by the institutions participating in CFRBCS. These proposals address continued support for the CFRBCS infrastructure, provide the rationale for 13 research proposals (modules), and summarize current progress. Our proposal contains four parts, including present our participation in the collaborative development of the CFRBS Progress Report. In the core maintenance, we present our application in the collaborative development of the CFRBCS, our protocols for enrollment and data proposal addresses four aims: 1) to maintain a functional resource, including follow-up of more than 1,3000 families; 2) to complete recruitment of Asian families, pathology work, BRCA1 and BRCA2 mutation testing, and transformation of lymphocytes; 3) to accrue an additional 1,060 minority and 450 Askenazi families, and to extend 25 interesting families; and 4) to contribute to all 13 research modules. Our specific and substantial participation in each of these modules is described. As the leader of Module 3, which includes participation in 2,300 minority families, including African-Americans, Hispanics, Chinese, Japanese, and Filipinos Data from database for future research. As the leader of Module 4, we will assess among an estimated 800 BRCA + mutation carriers the modifying influence of hormonal and lifestyle factors, including reproductive and menstrual characteristics, hormone use, diet, body size, physical activity, radiation exposure, alcohol consumption, and cigarette smoking. Finally, we present the CFRBCS progress report which highlights the unique resource assembled by the consortium which will facilitate breast cancer research for many years to come.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project--Cooperative Agreements (U01)
Project #
2U01CA069417-07
Application #
6288335
Study Section
Special Emphasis Panel (ZCA1-SRRB-Y (O2))
Program Officer
Seminara, Daniela
Project Start
1995-09-30
Project End
2006-11-30
Budget Start
2001-05-08
Budget End
2001-11-30
Support Year
7
Fiscal Year
2001
Total Cost
$2,300,274
Indirect Cost
Name
Northern California Cancer Center
Department
Type
DUNS #
City
Fremont
State
CA
Country
United States
Zip Code
94538
Block, Matthew S; Vierkant, Robert A; Rambau, Peter F et al. (2018) MyD88 and TLR4 Expression in Epithelial Ovarian Cancer. Mayo Clin Proc 93:307-320
Earp, Madalene; Tyrer, Jonathan P; Winham, Stacey J et al. (2018) Variants in genes encoding small GTPases and association with epithelial ovarian cancer susceptibility. PLoS One 13:e0197561
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
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
Dite, Gillian S; MacInnis, Robert J; Bickerstaffe, Adrian et al. (2017) Testing for Gene-Environment Interactions Using a Prospective Family Cohort Design: Body Mass Index in Early and Later Adulthood and Risk of Breast Cancer. Am J Epidemiol 185:487-500
Barrdahl, Myrto; Rudolph, Anja; Hopper, John L et al. (2017) Gene-environment interactions involving functional variants: Results from the Breast Cancer Association Consortium. Int J Cancer 141:1830-1840
Hoffman, Joshua D; Graff, Rebecca E; Emami, Nima C et al. (2017) Cis-eQTL-based trans-ethnic meta-analysis reveals novel genes associated with breast cancer risk. PLoS Genet 13:e1006690
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
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

Showing the most recent 10 out of 159 publications