TY - JOUR

T1 - Identification of novel genetic markers of breast cancer survival

AU - Guo, Qi

AU - Schmidt, Marjanka K

AU - Kraft, Peter

AU - Canisius, Sander

AU - Chen, Constance

AU - Khan, Sofia

AU - Tyrer, Jonathan

AU - Bolla, Manjeet K

AU - Wang, Qin

AU - Dennis, Joe

AU - Michailidou, Kyriaki

AU - Lush, Michael

AU - Kar, Siddhartha

AU - Beesley, Jonathan

AU - Dunning, Alison M

AU - Shah, Mitul

AU - Czene, Kamila

AU - Darabi, Hatef

AU - Eriksson, Mikael

AU - Lambrechts, Diether

AU - Weltens, Caroline

AU - Leunen, Karin

AU - Bojesen, Stig E

AU - Nordestgaard, Børge G

AU - Nielsen, Sune F

AU - Flyger, Henrik

AU - Chang-Claude, Jenny

AU - Rudolph, Anja

AU - Seibold, Petra

AU - Flesch-Janys, Dieter

AU - Blomqvist, Carl

AU - Aittomäki, Kristiina

AU - Fagerholm, Rainer

AU - Muranen, Taru A

AU - Couch, Fergus J

AU - Olson, Janet E

AU - Vachon, Celine

AU - Andrulis, Irene L

AU - Knight, Julia A

AU - Glendon, Gord

AU - Mulligan, Anna Marie

AU - Broeks, Annegien

AU - Hogervorst, Frans B

AU - Haiman, Christopher A

AU - Henderson, Brian E

AU - Schumacher, Fredrick

AU - Le Marchand, Loic

AU - Hopper, John L

AU - Tsimiklis, Helen

AU - Apicella, Carmel

AU - kConFab Investigators

N1 - © The Author 2015. Published by Oxford University Press.

PY - 2015/5

Y1 - 2015/5

N2 - BACKGROUND: 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.METHODS: 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.RESULTS: 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.CONCLUSIONS: 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.

AB - BACKGROUND: 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.METHODS: 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.RESULTS: 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.CONCLUSIONS: 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.

KW - Breast Neoplasms

KW - European Continental Ancestry Group

KW - Female

KW - Genetic Markers

KW - Genetic Predisposition to Disease

KW - Genotype

KW - Humans

KW - Polymorphism, Single Nucleotide

KW - Prognosis

KW - Receptors, Estrogen

KW - Survival Analysis

U2 - 10.1093/jnci/djv081

DO - 10.1093/jnci/djv081

M3 - Journal article

C2 - 25890600

VL - 107

SP - 1

EP - 9

JO - National Cancer Institute. Journal (Online)

JF - National Cancer Institute. Journal (Online)

SN - 1460-2105

IS - 5

M1 - 5

ER -