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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.
Afiliação
  • Barrdahl M; Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Canzian F; Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Lindström S; Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, Boston, MA.
  • Shui I; Department of Epidemiology, Harvard School of Public Health, Boston, MA.
  • Black A; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
  • Hoover RN; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
  • Ziegler RG; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
  • Buring JE; Department of Ambulatory Care and Prevention, Harvard Medical School, Boston, MA.
  • Chanock SJ; Divisions of Preventive Medicine and Aging, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
  • Diver WR; Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
  • Gapstur SM; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
  • Gaudet MM; Core Genotyping Facility Frederick National Laboratory for Cancer Research, Gaithersburg, MD.
  • Giles GG; Epidemiology Research Program, American Cancer Society, NW Atlanta, GA.
  • Haiman C; Epidemiology Research Program, American Cancer Society, NW Atlanta, GA.
  • Henderson BE; Epidemiology Research Program, American Cancer Society, NW Atlanta, GA.
  • Hankinson S; Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.
  • Hunter DJ; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, VIC, Australia.
  • Joshi AD; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA.
  • Kraft P; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA.
  • Lee IM; Department of Epidemiology, Harvard School of Public Health, Boston, MA.
  • Le Marchand L; Department of Epidemiology, University of Massachusetts-Amherst School of Public Health and Health Sciences, Amherst, MA.
  • Milne RL; Cancer Research Center, Brigham and Women's Hospital, Boston, MA.
  • Southey MC; Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, Boston, MA.
  • Willett W; Department of Epidemiology, Harvard School of Public Health, Boston, MA.
  • Gunter M; Department of Epidemiology, Harvard School of Public Health, Boston, MA.
  • Panico S; Department of Epidemiology, Harvard School of Public Health, Boston, MA.
  • Sund M; Department of Medicine, Harvard Medical School, Boston, MA.
  • Weiderpass E; Cancer Research Center of Hawaii, University of Hawaii, Honolulu, HI.
  • Sánchez MJ; Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.
  • Overvad K; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, VIC, Australia.
  • Dossus L; Department of Pathology, University of Melbourne, VIC, Australia.
  • Peeters PH; Department of Nutrition, Harvard School of Public Health, Boston, MA.
  • Khaw KT; Department of Epidemiology Biostatistics, School of Public Health, Imperial College, South Kensington Campus, London, United Kingdom.
  • Trichopoulos D; Dipartimento Di Medicina Clinica E Chirurgia, Naples, Italy.
  • Kaaks R; Department of Surgical and Perioperative Sciences, Surgery, Umeå University, Sweden.
  • Campa D; Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, Norway.
Int J Cancer ; 137(12): 2837-45, 2015 Dec 15.
Article em En | MEDLINE | ID: mdl-25611573
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Female / Humans Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Female / Humans Idioma: En Ano de publicação: 2015 Tipo de documento: Article