Unknown

Dataset Information

0

Association of breast cancer risk loci with breast cancer survival.


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.

SUBMITTER: Barrdahl M 

PROVIDER: S-EPMC4615576 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

Association of breast cancer risk loci with breast cancer survival.

Barrdahl Myrto M   Canzian Federico F   Lindström Sara S   Shui Irene I   Black Amanda A   Hoover Robert N RN   Ziegler Regina G RG   Buring Julie E JE   Chanock Stephen J SJ   Diver W Ryan WR   Gapstur Susan M SM   Gaudet Mia M MM   Giles Graham G GG   Haiman Christopher C   Henderson Brian E BE   Hankinson Susan S   Hunter David J DJ   Joshi Amit D AD   Kraft Peter P   Lee I-Min IM   Le Marchand Loic L   Milne Roger L RL   Southey Melissa C MC   Willett Walter W   Gunter Marc M   Panico Salvatore S   Sund Malin M   Weiderpass Elisabete E   Sánchez María-José MJ   Overvad Kim K   Dossus Laure L   Peeters Petra H PH   Khaw Kay-Tee KT   Trichopoulos Dimitrios D   Kaaks Rudolf R   Campa Daniele D  

International journal of cancer 20150814 12


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 o  ...[more]

Similar Datasets

| S-EPMC5798588 | biostudies-literature
| S-EPMC3771695 | biostudies-literature
| S-EPMC7426027 | biostudies-literature
| S-EPMC4004200 | biostudies-literature
| S-EPMC3707501 | biostudies-literature
| S-EPMC8026532 | biostudies-literature
| S-EPMC6465407 | biostudies-literature
2013-05-10 | E-GEOD-46074 | biostudies-arrayexpress
| S-EPMC4164346 | biostudies-literature
2017-02-23 | PXD004435 | Pride