The relationship between eight GWAS-identified single-nucleotide polymorphisms and primary breast cancer outcomes

Soley Bayraktar, Patricia A. Thompson, Suk Young Yoo, Kim Anh Do, Aysegul A. Sahin, Banu K. Arun, Melissa L. Bondy, Abenaa M. Brewster

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

Background. Several single-nucleotide polymorphisms (SNPs) associated with breast cancer risk have been identified through genome-wide association studies (GWAS).Weinvestigated whether eight risk SNPs identified inGWASwere associated with breast cancer disease-free survival (DFS) and overall survival (OS) rates. Patients and Methods. A cohort of 739 white women with early-stage breast cancer was genotyped for eight GWASidentified SNPs (rs2981582, rs1219648 [FGFR2], rs3803662, rs12443621, rs8051542 [TOX3], rs999737 [RAD51L1], rs6504950 [17q23], and rs4973768 [3p24]). Relationships between SNPs and breast cancer outcomes were evaluated using Cox proportional hazard regression models. The cumulative effects of SNPs on breast cancer outcomes were assessed by computing the number of at-risk genotypes. Results. At a median follow-up of 121 months (range: 188 - 231 months) for survivors, 237 deaths (32%) and 186 breast cancer events (25%) were identified among the 739 patients. After adjusting for age, clinical stage, and treatment, rs12443621 (16q12; p =.03) and rs6504950 (17q23; p =.008) were prognostic for OS but not DFS. A higher risk for death was also found in the multivariable analysis of patients harboring three or four at-risk genotypes of the GWAS SNPs compared to patients carrying two or less atrisk genotypes (hazard ratio: 1.60, 95% confidence interval: 1.23-2.24; p=.0008). Conclusion. The study results suggest that previously identified breast cancer risk susceptibility loci, rs12443621 (16q12) and rs6504950 (17q23), may influence breast cancer prognosis or comorbid conditions associated with overall survival. The precise molecular mechanisms through which these risk SNPs, as well as others that were not included in the analysis, influence clinical outcomes remain to be determined.

Original languageEnglish (US)
Pages (from-to)493-500
Number of pages8
JournalOncologist
Volume18
Issue number5
DOIs
StatePublished - May 2013

Keywords

  • 17q23
  • Breast cancer
  • Prognosis
  • Single-nucleotide polymorphisms
  • TNRC9

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

MD Anderson CCSG core facilities

  • Biostatistics Resource Group

Fingerprint

Dive into the research topics of 'The relationship between eight GWAS-identified single-nucleotide polymorphisms and primary breast cancer outcomes'. Together they form a unique fingerprint.

Cite this