Dorjgochoo T, Zheng Y, Gao YT, Ma X, Long J, Bao P, Zhang B, Wen W, Lu W, Zheng W, Shu XO, Beeghly-Fadiel A. No association between genetic variants in angiogenesis and inflammation pathway genes and breast cancer survival among Chinese women.
Cancer Epidemiol 2013;
37:619-24. [PMID:
23850146 DOI:
10.1016/j.canep.2013.06.005]
[Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2012] [Revised: 06/12/2013] [Accepted: 06/16/2013] [Indexed: 11/21/2022]
Abstract
BACKGROUND
Angiogenesis and inflammation are implicated in breast cancer prognosis; however, the role of individual germline variation in related genes is unknown.
METHODS
A two-stage candidate pathway association study was conducted among 6983 Chinese women. Stage 1 included 2884 women followed for a median of 5.7 years; Stage 2 included 4099 women followed for a median of 4.0 years. Cox proportional hazards regression was used to estimate the effects of genetic variants on disease-free survival (DFS) and overall survival (OS).
RESULTS
Stage 1 included genotyping of 506 variants in 22 genes; analysis was conducted for 370 common variants. Nominally significant associations with DFS and/or OS were found for 20 loci in ten genes in Stage 1; variants in 19 loci were successfully genotyped and evaluated in Stage 2. In analyses of both study stages combined, nominally significant associations were found for nine variants in seven genes; none of these associations surpassed a significance threshold level corrected for the total number of variants evaluated in this study.
CONCLUSIONS
No association with survival was found for 370 common variants in 22 angiogenesis and inflammation pathway genes among Chinese women with breast cancer.
IMPACT
Our data do not support a large role for common genetic variation in 22 genes in breast cancer prognosis; research on angiogenesis and inflammation genes should focus on common variation in other genes, rare host variants, or tumor alterations.
Collapse