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Search: WFRF:(Weiderpass Elisabete) > (2015-2019) > Trichopoulos Dimitrios > Association of brea...

Association of breast cancer risk loci with breast cancer survival

Barrdahl, Myrto (author)
Canzian, Federico (author)
Lindström, Sara (author)
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Shui, Irene (author)
Black, Amanda (author)
Hoover, Robert N (author)
Ziegler, Regina G (author)
Buring, Julie E (author)
Chanock, Stephen J (author)
Diver, W Ryan (author)
Gapstur, Susan M (author)
Gaudet, Mia M (author)
Giles, Graham G (author)
Haiman, Christopher (author)
Henderson, Brian E (author)
Hankinson, Susan (author)
Hunter, David J (author)
Joshi, Amit D (author)
Kraft, Peter (author)
Lee, I-Min (author)
Le Marchand, Loic (author)
Milne, Roger L (author)
Southey, Melissa C (author)
Willett, Walter (author)
Gunter, Marc (author)
Panico, Salvatore (author)
Sund, Malin (author)
Umeå universitet,Kirurgi
Weiderpass, Elisabete (author)
Karolinska Institutet
Sánchez, María-José (author)
Overvad, Kim (author)
Dossus, Laure (author)
Peeters, Petra H (author)
Khaw, Kay-Tee (author)
Trichopoulos, Dimitrios (author)
Kaaks, Rudolf (author)
Campa, Daniele (author)
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 (creator_code:org_t)
2015-08-14
2015
English.
In: International Journal of Cancer. - : Wiley-Blackwell. - 0020-7136 .- 1097-0215. ; 137:12, s. 2837-2845
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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 x 10-4; HRheterozygotes=0.71; 95% CI: 0.55-0.92; HRhomozygotes=0.48; 95% CI: 0.31-0.76; p2DF=1.45 x 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 x 10-4; HRheterozygotes=0.96 95% CI: 0.90-1.03; HRhomozygotes=1.21; 95% CI: 1.09-1.35; p2DF=1.25 x 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.What's new? Genetic factors are known to influence the risk of breast cancer, but inherited genetic variation may also affect disease prognosis and response to treatment. In this study, the we investigated whether single nucleotide polymorphisms (SNPs) that are known to be associated with breast cancer risk might also influence the survival of breast-cancer patients. While two of the investigated SNPs may influence survival, there was otherwise no indication that SNP alleles related to breast cancer risk also play a role in the survival of breast cancer patients.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

Keyword

breast cancer
SNP
survival
BPC3
meta-analysis

Publication and Content Type

ref (subject category)
art (subject category)

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