Literature DB >> 20332263

A genome-wide association study of prognosis in breast cancer.

Elizabeth M Azzato1, Paul D P Pharoah, Patricia Harrington, Douglas F Easton, David Greenberg, Neil E Caporaso, Stephen J Chanock, Robert N Hoover, Gilles Thomas, David J Hunter, Peter Kraft.   

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.

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Year:  2010        PMID: 20332263      PMCID: PMC2852476          DOI: 10.1158/1055-9965.EPI-10-0085

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  18 in total

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Journal:  Nat Genet       Date:  2007-05-27       Impact factor: 38.330

4.  Common germline polymorphisms in COMT, CYP19A1, ESR1, PGR, SULT1E1 and STS and survival after a diagnosis of breast cancer.

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8.  NAD(P)H:quinone oxidoreductase 1 NQO1*2 genotype (P187S) is a strong prognostic and predictive factor in breast cancer.

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Journal:  Nat Genet       Date:  2008-05-30       Impact factor: 38.330

9.  A multistage genome-wide association study in breast cancer identifies two new risk alleles at 1p11.2 and 14q24.1 (RAD51L1).

Authors:  Gilles Thomas; Kevin B Jacobs; Peter Kraft; Meredith Yeager; Sholom Wacholder; David G Cox; Susan E Hankinson; Amy Hutchinson; Zhaoming Wang; Kai Yu; Nilanjan Chatterjee; Montserrat Garcia-Closas; Jesus Gonzalez-Bosquet; Ludmila Prokunina-Olsson; Nick Orr; Walter C Willett; Graham A Colditz; Regina G Ziegler; Christine D Berg; Saundra S Buys; Catherine A McCarty; Heather Spencer Feigelson; Eugenia E Calle; Michael J Thun; Ryan Diver; Ross Prentice; Rebecca Jackson; Charles Kooperberg; Rowan Chlebowski; Jolanta Lissowska; Beata Peplonska; Louise A Brinton; Alice Sigurdson; Michele Doody; Parveen Bhatti; Bruce H Alexander; Julie Buring; I-Min Lee; Lars J Vatten; Kristian Hveem; Merethe Kumle; Richard B Hayes; Margaret Tucker; Daniela S Gerhard; Joseph F Fraumeni; Robert N Hoover; Stephen J Chanock; David J Hunter
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10.  Effects of common germline genetic variation in cell cycle control genes on breast cancer survival: results from a population-based cohort.

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Review 4.  Germline prognostic markers for urinary bladder cancer: obstacles and opportunities.

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6.  Novel genetic markers of breast cancer survival identified by a genome-wide association study.

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Review 7.  Rac signaling in breast cancer: a tale of GEFs and GAPs.

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8.  A genetic variant in a PP2A regulatory subunit encoded by the PPP2R2B gene associates with altered breast cancer risk and recurrence.

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