| Literature DB >> 25611573 |
Myrto Barrdahl1, Federico Canzian2, Sara Lindström3, Irene Shui4, Amanda Black5, Robert N Hoover5, Regina G Ziegler5, Julie E Buring6,7,8, Stephen J Chanock5,9, W Ryan Diver10, Susan M Gapstur10, Mia M Gaudet10, Graham G Giles11,12, Christopher Haiman13, Brian E Henderson13, Susan Hankinson4,14,15, David J Hunter3, Amit D Joshi4, Peter Kraft4, I-Min Lee4,16, Loic Le Marchand17, Roger L Milne11,12, Melissa C Southey18, Walter Willett19, Marc Gunter20, Salvatore Panico21, Malin Sund22, Elisabete Weiderpass23,24,25,26, María-José Sánchez27,28, Kim Overvad29, Laure Dossus30,31,32, Petra H Peeters33,34, Kay-Tee Khaw35, Dimitrios Trichopoulos4,36,37, Rudolf Kaaks1, Daniele Campa1.
Abstract
The survival of breast cancer patients is largely influenced by tumor characteristics, such as TNM stage, tumor grade and hormone receptor status. However, there is growing evidence that inherited genetic variation might affect the disease prognosis and response to treatment. Several lines of evidence suggest that alleles influencing breast cancer risk might also be associated with breast cancer survival. We examined the associations between 35 breast cancer susceptibility loci and the disease over-all survival (OS) in 10,255 breast cancer patients from the National Cancer Institute Breast and Prostate Cancer Cohort Consortium (BPC3) of which 1,379 died, including 754 of breast cancer. We also conducted a meta-analysis of almost 35,000 patients and 5,000 deaths, combining results from BPC3 and the Breast Cancer Association Consortium (BCAC) and performed in silico analyses of SNPs with significant associations. In BPC3, the C allele of LSP1-rs3817198 was significantly associated with improved OS (HRper-allele =0.70; 95% CI: 0.58-0.85; ptrend = 2.84 × 10(-4) ; HRheterozygotes = 0.71; 95% CI: 0.55-0.92; HRhomozygotes = 0.48; 95% CI: 0.31-0.76; p2DF = 1.45 × 10(-3) ). In silico, the C allele of LSP1-rs3817198 was predicted to increase expression of the tumor suppressor cyclin-dependent kinase inhibitor 1C (CDKN1C). In the meta-analysis, TNRC9-rs3803662 was significantly associated with increased death hazard (HRMETA =1.09; 95% CI: 1.04-1.15; ptrend = 6.6 × 10(-4) ; HRheterozygotes = 0.96 95% CI: 0.90-1.03; HRhomozygotes = 1.21; 95% CI: 1.09-1.35; p2DF =1.25 × 10(-4) ). In conclusion, we show that there is little overlap between the breast cancer risk single nucleotide polymorphisms (SNPs) identified so far and the SNPs associated with breast cancer prognosis, with the possible exceptions of LSP1-rs3817198 and TNRC9-rs3803662.Entities:
Keywords: BPC3; SNP; breast cancer; meta-analysis; survival
Mesh:
Year: 2015 PMID: 25611573 PMCID: PMC4615576 DOI: 10.1002/ijc.29446
Source DB: PubMed Journal: Int J Cancer ISSN: 0020-7136 Impact factor: 7.396