Skip to Main Content

An official website of the United States government

About this Publication
Title
A genome-wide association study of prognosis in breast cancer.
Pubmed ID
20332263 (View this publication on the PubMed website)
Publication
Cancer Epidemiol. Biomarkers Prev. 2010 Apr; Volume 19 (Issue 4): Pages 1140-3
Authors
Azzato EM, Pharoah PD, Harrington P, Easton DF, Greenberg D, Caporaso NE, Chanock SJ, Hoover RN, Thomas G, Hunter DJ, Kraft P
Affiliations
  • Department of Oncology, Strangeways Research Laboratory, University of Cambridge, Cambridge, United Kingdom. azzatoe2@mail.nih.gov
Abstract

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.

Related CDAS Studies
Related CDAS Projects