Association of breast cancer risk loci with breast cancer survival
Files
Publication date
2015-12-15
Authors
Barrdahl, Myrto
Canzian, Federico
Lindström, Sara
Shui, Irene
Black, Amanda
Hoover, Robert N.
Ziegler, Regina G.
Buring, Julie E.
Chanock, Stephen J.
Diver, W. Ryan
Editors
Advisors
Supervisors
Document Type
Article
Metadata
Show full item recordCollections
License
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.
Keywords
BPC3, breast cancer, meta-analysis, SNP, survival, Cancer Research, Oncology, Journal Article, Meta-Analysis, Research Support, N.I.H., Extramural, Research Support, N.I.H., Intramural, Research Support, U.S. Gov't, Non-P.H.S.
Citation
Barrdahl, M, Canzian, F, Lindström, S, Shui, I, Black, A, Hoover, R N, Ziegler, R G, Buring, J E, Chanock, S J, Diver, W R, Gapstur, S M, Gaudet, M M, Giles, G G, Haiman, C, Henderson, B E, Hankinson, S, Hunter, D J, Joshi, A D, Kraft, P, Lee, I M, Le Marchand, L, Milne, R L, Southey, M C, Willett, W, Gunter, M, Panico, S, Sund, M, Weiderpass, E, Sánchez, M J, Overvad, K, Dossus, L, Peeters, P H, Khaw, K T, Trichopoulos, D, Kaaks, R & Campa, D 2015, 'Association of breast cancer risk loci with breast cancer survival', International Journal of Cancer, vol. 137, no. 12, pp. 2837-2845. https://doi.org/10.1002/ijc.29446