Association of breast cancer risk loci with breast cancer survival

Myrto Barrdahl, Federico Canzian, Sara Lindström, Irene Shui, Amanda Black, Robert N. Hoover, Regina G. Ziegler, Julie E. Buring, Stephen J. Chanock, W. Ryan Diver, Susan M. Gapstur, Mia M. Gaudet, Graham G. Giles, Christopher Haiman, Brian E. Henderson, Susan Hankinson, David J. Hunter, Amit D. Joshi, Peter Kraft, I. Min Lee & 16 others Loic Le Marchand, Roger L. Milne, Melissa C. Southey, Walter Willett, Marc Gunter, Salvatore Panico, Malin Sund, Elisabete Weiderpass, María José Sánchez, Kim Overvad, Laure Dossus, Petra H. Peeters, Kay Tee Khaw, Dimitrios Trichopoulos, Rudolf Kaaks, Daniele Campa

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)2837-2845
Number of pages9
JournalInternational Journal of Cancer
Volume137
Issue number12
DOIs
StatePublished - Dec 15 2015
Externally publishedYes

Fingerprint

Breast Neoplasms
Survival
Alleles
Single Nucleotide Polymorphism
Computer Simulation
Meta-Analysis
Cyclin-Dependent Kinase Inhibitor p57
Prostatic Neoplasms
Neoplasms
National Cancer Institute (U.S.)
Disease Susceptibility
Hormones

Keywords

  • BPC3
  • breast cancer
  • meta-analysis
  • SNP
  • survival

ASJC Scopus subject areas

  • Cancer Research
  • Oncology

Cite this

Barrdahl, M., Canzian, F., Lindström, S., Shui, I., Black, A., Hoover, R. N., ... Campa, D. (2015). Association of breast cancer risk loci with breast cancer survival. International Journal of Cancer, 137(12), 2837-2845. https://doi.org/10.1002/ijc.29446

Association of breast cancer risk loci with breast cancer survival. / 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; Gapstur, Susan M.; Gaudet, Mia M.; Giles, Graham G.; Haiman, Christopher; Henderson, Brian E.; Hankinson, Susan; Hunter, David J.; Joshi, Amit D.; Kraft, Peter; Lee, I. Min; Le Marchand, Loic; Milne, Roger L.; Southey, Melissa C.; Willett, Walter; Gunter, Marc; Panico, Salvatore; Sund, Malin; Weiderpass, Elisabete; Sánchez, María José; Overvad, Kim; Dossus, Laure; Peeters, Petra H.; Khaw, Kay Tee; Trichopoulos, Dimitrios; Kaaks, Rudolf; Campa, Daniele.

In: International Journal of Cancer, Vol. 137, No. 12, 15.12.2015, p. 2837-2845.

Research output: Contribution to journalArticle

Barrdahl, M, Canzian, F, Lindström, S, Shui, I, Black, A, Hoover, RN, Ziegler, RG, Buring, JE, Chanock, SJ, Diver, WR, Gapstur, SM, Gaudet, MM, Giles, GG, Haiman, C, Henderson, BE, Hankinson, S, Hunter, DJ, Joshi, AD, Kraft, P, Lee, IM, Le Marchand, L, Milne, RL, Southey, MC, Willett, W, Gunter, M, Panico, S, Sund, M, Weiderpass, E, Sánchez, MJ, Overvad, K, Dossus, L, Peeters, PH, Khaw, KT, 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
Barrdahl M, Canzian F, Lindström S, Shui I, Black A, Hoover RN et al. Association of breast cancer risk loci with breast cancer survival. International Journal of Cancer. 2015 Dec 15;137(12):2837-2845. https://doi.org/10.1002/ijc.29446
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 ; Gapstur, Susan M. ; Gaudet, Mia M. ; Giles, Graham G. ; Haiman, Christopher ; Henderson, Brian E. ; Hankinson, Susan ; Hunter, David J. ; Joshi, Amit D. ; Kraft, Peter ; Lee, I. Min ; Le Marchand, Loic ; Milne, Roger L. ; Southey, Melissa C. ; Willett, Walter ; Gunter, Marc ; Panico, Salvatore ; Sund, Malin ; Weiderpass, Elisabete ; Sánchez, María José ; Overvad, Kim ; Dossus, Laure ; Peeters, Petra H. ; Khaw, Kay Tee ; Trichopoulos, Dimitrios ; Kaaks, Rudolf ; Campa, Daniele. / Association of breast cancer risk loci with breast cancer survival. In: International Journal of Cancer. 2015 ; Vol. 137, No. 12. pp. 2837-2845.
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AU - Barrdahl, Myrto

AU - Canzian, Federico

AU - Lindström, Sara

AU - Shui, Irene

AU - Black, Amanda

AU - Hoover, Robert N.

AU - Ziegler, Regina G.

AU - Buring, Julie E.

AU - Chanock, Stephen J.

AU - Diver, W. Ryan

AU - Gapstur, Susan M.

AU - Gaudet, Mia M.

AU - Giles, Graham G.

AU - Haiman, Christopher

AU - Henderson, Brian E.

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AU - Joshi, Amit D.

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AU - Lee, I. Min

AU - Le Marchand, Loic

AU - Milne, Roger L.

AU - Southey, Melissa C.

AU - Willett, Walter

AU - Gunter, Marc

AU - Panico, Salvatore

AU - Sund, Malin

AU - Weiderpass, Elisabete

AU - Sánchez, María José

AU - Overvad, Kim

AU - Dossus, Laure

AU - Peeters, Petra H.

AU - Khaw, Kay Tee

AU - Trichopoulos, Dimitrios

AU - Kaaks, Rudolf

AU - Campa, Daniele

PY - 2015/12/15

Y1 - 2015/12/15

N2 - 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.

AB - 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.

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