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Survival after a diagnosis of breast cancer varies considerably between patients, and some of this variation may be because of germline genetic variation. We aimed to identify genetic markers associated with breast cancer-specific survival.We conducted a large meta-analysis of studies in populations of European ancestry, including 37954 patients with 2900 deaths from breast cancer. Each study had been genotyped for between 200000 and 900000 single nucleotide polymorphisms (SNPs) across the genome; genotypes for nine million common variants were imputed using a common reference panel from the 1000 Genomes Project. We also carried out subtype-specific analyses based on 6881 estrogen receptor (ER)-negative patients (920 events) and 23059 ER-positive patients (1333 events). All statistical tests were two-sided.We identified one new locus (rs2059614 at 11q24.2) associated with survival in ER-negative breast cancer cases (hazard ratio [HR] = 1.95, 95% confidence interval [CI] = 1.55 to 2.47, P = 1.91 x 10(-8)). Genotyping a subset of 2113 case patients, of which 300 were ER negative, provided supporting evidence for the quality of the imputation. The association in this set of case patients was stronger for the observed genotypes than for the imputed genotypes. A second locus (rs148760487 at 2q24.2) was associated at genome-wide statistical significance in initial analyses; the association was similar in ER-positive and ER-negative case patients. Here the results of genotyping suggested that the finding was less robust.This is currently the largest study investigating genetic variation associated with breast cancer survival. Our results have potential clinical implications, as they confirm that germline genotype can provide prognostic information in addition to standard tumor prognostic factors.

Original publication

DOI

10.1093/jnci/djv081

Type

Journal article

Journal

Journal of the National Cancer Institute

Publication Date

05/2015

Volume

107

Addresses

Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, UK (QG, JT, AMD, MS, JEA, DFE, PDPP); Netherlands Cancer Institute, Antoni van Leeuwenhoek hospital, Amsterdam, the Netherlands (MKS, SC, AB, FBH); Department of Epidemiology, Harvard School of Public Health, Boston, MA (PK, SH, DJH, SL); Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, Boston, MA (PK, CCh, DJH, SL); Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland (SK, RF, TAM, HN); Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK (MKB, QW, JD, KM, ML, SK, DFE, PDPP); Department of Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia (JBee, GCT); Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden (KC, HD, ME, JiL, JBr, KH, PH); Laboratory for Translational Genetics, Department of Oncology, University of Leuven, Leuven, Belgium (DL); Vesalius Research Center, VIB, Leuven, Belgium (DL); Oncology Department, University Hospital Gasthuisberg, Leuven, Belgium (CW, KL); Copenhagen General Population Study, Herlev Hospital, Copenhagen, Denmark (SEB, BGN, SFN); Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, Denmark (SEB, BGN, SFN); Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark (SEB, BGN); Department of Breast Surgery, Herlev Hospital, Copenhagen University Hospital, Denmark (HF); Division of Cancer Epidemiology, German Cancer Research Center (Deutsches Krebsforschungszentrum), Heidelberg, Germany (JCC, AR, PS, DC, AHü, RK, MB); Department of Cancer Epidemiology/Clinical Cancer Registry and Institute for Medical Biometrics and Epidemiology, University Clinic Hamburg-Eppendorf, Hamburg, Germany (DFJ); Department of Oncology

Keywords

kConFab Investigators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Receptors, Estrogen, Genetic Markers, Prognosis, Survival Analysis, Genotype, Polymorphism, Single Nucleotide, European Continental Ancestry Group, Female