A Genome-Wide Association Study of Prognosis in Breast Cancer

作者:Azzato Elizabeth M*; Pharoah Paul D P; Harrington Patricia; Easton Douglas F; Greenberg David; Caporaso Neil E; Chanock Stephen J; Hoover Robert N; Thomas Gilles; Hunter David J; Kraft Peter
来源:Cancer Epidemiology Biomarkers & Prevention, 2010, 19(4): 1140-1143.
DOI:10.1158/1055-9965.EPI-10-0085

摘要

Background: Traditional clinicopathologic features of breast cancer do not account for all the variation in survival. Germline genetic variation may provide additional prognostic information.
Materials and Methods: We conducted a genome-wide association study of survival after a diagnosis of breast cancer by obtaining follow-up data and genotyping information on 528,252 single-nucleotide polymorphisms for 1,145 postmenopausal women with invasive breast cancer (7,711 person-years at risk) from the Nurses' Health Study scanned in the Cancer Genetic Markers of Susceptibility initiative. We genotyped the 10 most statistically significant loci (most significant single-nucleotide polymorphism located in ARHGAP10; P = 2.28 x 10(-7)) in 4,335 women diagnosed with invasive breast cancer (38,148 years at risk) in the SEARCH (Studies of Epidemiology and Risk factors in Cancer Heredity) breast cancer study.
Results: None of the loci replicated in the SEARCH study (all P > 0.10). Assuming a minimum of 10 associated loci, the power to detect at least one with a minor allele frequency of 0.2 conferring a relative hazard of 2.0 at genome-wide significance (P = 5 x 10(-8)) was 99%.
Conclusion: We did not identify any common germline variants associated with breast cancer survival overall.
Impact: Our data suggest that it is unlikely that there are common germline variants with large effect sizes for breast cancer survival overall (hazard ratio > 2). Instead, it is plausible that common variants associated with survival could be specific to tumor subtypes or treatment approaches. New studies, sufficiently powered, are needed to discover new regions associated with survival overall or by subtype or treatment subgroups. Cancer Epidemiol Biomarkers Prev; 19(4); 1140-3.

  • 出版日期2010-4