Abstract

Determine periodically the incidence of cancer in selected geographic areas of the United States with respect to demographic and social characteristics of the population. Estimate cancer incidence for the United States on an annual basis. Monitor trends in incidence of specific forms of cancer with respect to geographic area and demographic and social characteristics of the population. Determine periodically survival experience for cancer patients diagnosed among residents of selected geographic areas of the United States. Monitor trends in cancer patient survival with respect to form of cancer, extent of disease, therapy, and demographic, socioeconomic, and other parameters of prognostic importance. Identify cancer etiologic factors by conducting special studies which disclose groups of the population at high and low cancer risks. These groups may be defined by social, occupational, environmental, dietary, or other characteristics, and by drug history.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
Division of Cancer Prevention And Control (NCI)
Type
Research and Development Contracts (N01)
Project #
N01CN055424-000
Application #
3620378
Study Section
Project Start
1984-12-01
Project End
1989-10-31
Budget Start
1984-12-01
Budget End
1985-10-31
Support Year
Fiscal Year
1985
Total Cost
Indirect Cost

  Institution

Name
University of Hawaii
Department
Type
Organized Research Units
DUNS #
121911077
City
Honolulu
State
HI
Country
United States
Zip Code
96822

  Publications

Earp, Madalene; Winham, Stacey J; Larson, Nicholas et al. (2016) A targeted genetic association study of epithelial ovarian cancer susceptibility. Oncotarget 7:7381-9
Winham, Stacey J; Pirie, Ailith; Chen, Yian Ann et al. (2016) Investigation of Exomic Variants Associated with Overall Survival in Ovarian Cancer. Cancer Epidemiol Biomarkers Prev 25:446-54
Præstegaard, Camilla; Kjaer, Susanne K; Nielsen, Thor S S et al. (2016) The association between socioeconomic status and tumour stage at diagnosis of ovarian cancer: A pooled analysis of 18 case-control studies. Cancer Epidemiol 41:71-9
Lee, Alice W; Templeman, Claire; Stram, Douglas A et al. (2016) Evidence of a genetic link between endometriosis and ovarian cancer. Fertil Steril 105:35-43.e1-10
Lu, Yi; Cuellar-Partida, Gabriel; Painter, Jodie N et al. (2015) Shared genetics underlying epidemiological association between endometriosis and ovarian cancer. Hum Mol Genet 24:5955-64
Nagle, C M; Dixon, S C; Jensen, A et al. (2015) Obesity and survival among women with ovarian cancer: results from the Ovarian Cancer Association Consortium. Br J Cancer 113:817-26
Chornokur, Ganna; Lin, Hui-Yi; Tyrer, Jonathan P et al. (2015) Common Genetic Variation In Cellular Transport Genes and Epithelial Ovarian Cancer (EOC) Risk. PLoS One 10:e0128106
Lawrenson, Kate; Iversen, Edwin S; Tyrer, Jonathan et al. (2015) Common variants at the CHEK2 gene locus and risk of epithelial ovarian cancer. Carcinogenesis 36:1341-53
Lee, Alice W; Tyrer, Jonathan P; Doherty, Jennifer A et al. (2015) Evaluating the ovarian cancer gonadotropin hypothesis: a candidate gene study. Gynecol Oncol 136:542-8
Kelemen, Linda E; Terry, Kathryn L; Goodman, Marc T et al. (2014) Consortium analysis of gene and gene-folate interactions in purine and pyrimidine metabolism pathways with ovarian carcinoma risk. Mol Nutr Food Res 58:2023-35

Showing the most recent 10 out of 78 publications