Emerging data have demonstrated that circadian genes are involved in regulating cell proliferation and apoptosis by controlling expression of tumor suppressor genes, cell cycle genes, as well as genes that encode the caspases and transcription factors. Therefore, as the molecular clockworks regulate many biological pathways in tumorigenesis, mutations in circadian genes could conceivably result in deregulation of these processes and tumour development. In this proposal, we hypothesize that adverse genotypes associated with these circadian genes may modulate their protein functions in biology rhythms, thereby influencing an individual's susceptibility to human cancer.
Our specific aims are: 1) To identify single nucleotide polymorphisms (SNPs) with potential functional impact on circadian genes. SNPs will be collected from public SNP databases and screened by different bioinformatic tools. Prediction about functional impact will be made to both SNPs that alter an amino acid and SNPs located in the exonic splicing sites. 2) To determine the role that specific polymorphisms in these genes play in the modulation of breast cancer risk. Our hypothesis is that SNPs predicted to have functional significance in circadian genes may be a novel panel of biomarkers to be associated with breast cancer risk. 3) To investigate the joint-effect between circadian genes and environmental factors, especially night exposure to light. Light is the most powerful circadian synchronizer among all environmental cues. Our hypothesis is that exposure to light at night may disturb circadian rhythms and consequently increase the risk of breast cancer for individuals with the putative high-risk genotypes in circadian genes. Given the availability of DNA samples and exposure data, this proposal is both time and cost effective in terms of practical feasibility.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Small Research Grants (R03)
Project #
1R03CA110937-01
Application #
6840724
Study Section
Special Emphasis Panel (ZCA1-SRRB-Q (M1))
Program Officer
Kasten-Sportes, Carol H
Project Start
2004-09-03
Project End
2006-08-31
Budget Start
2004-09-03
Budget End
2005-08-31
Support Year
1
Fiscal Year
2004
Total Cost
$81,750
Indirect Cost
Name
Yale University
Department
Public Health & Prev Medicine
Type
Schools of Medicine
DUNS #
043207562
City
New Haven
State
CT
Country
United States
Zip Code
06520
Yi, Chunhui; Mu, Lina; de la Longrais, Irene A Rigault et al. (2010) The circadian gene NPAS2 is a novel prognostic biomarker for breast cancer. Breast Cancer Res Treat 120:663-9
Hoffman, Aaron E; Zheng, Tongzhang; Yi, Chun-Hui et al. (2010) The core circadian gene Cryptochrome 2 influences breast cancer risk, possibly by mediating hormone signaling. Cancer Prev Res (Phila) 3:539-48
Hoffman, Aaron E; Yi, Chun-Hui; Zheng, Tongzhang et al. (2010) CLOCK in breast tumorigenesis: genetic, epigenetic, and transcriptional profiling analyses. Cancer Res 70:1459-68
Hoffman, Aaron E; Zheng, Tongzhang; Ba, Yue et al. (2010) Phenotypic effects of the circadian gene Cryptochrome 2 on cancer-related pathways. BMC Cancer 10:110
Yi, Chun-Hui; Zheng, Tongzhang; Leaderer, Derek et al. (2009) Cancer-related transcriptional targets of the circadian gene NPAS2 identified by genome-wide ChIP-on-chip analysis. Cancer Lett 284:149-56
Zhu, Yong; Stevens, Richard G; Hoffman, Aaron E et al. (2009) Testing the circadian gene hypothesis in prostate cancer: a population-based case-control study. Cancer Res 69:9315-22
Hoffman, Aaron E; Zheng, Tongzhang; Yi, Chunhui et al. (2009) microRNA miR-196a-2 and breast cancer: a genetic and epigenetic association study and functional analysis. Cancer Res 69:5970-7
Hoffman, Aaron E; Zheng, Tongzhang; Stevens, Richard G et al. (2009) Clock-cancer connection in non-Hodgkin's lymphoma: a genetic association study and pathway analysis of the circadian gene cryptochrome 2. Cancer Res 69:3605-13
Hoffman, Aaron E; Zheng, Tongzhang; Ba, Yue et al. (2008) The circadian gene NPAS2, a putative tumor suppressor, is involved in DNA damage response. Mol Cancer Res 6:1461-8
Zhu, Yong; Hoffman, Aaron; Wu, Xifeng et al. (2008) Correlating observed odds ratios from lung cancer case-control studies to SNP functional scores predicted by bioinformatic tools. Mutat Res 639:80-8

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