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Genome-wide association study identifies tumor anatomical site-specific risk variants for colorectal cancer survival.
Labadie, Julia D; Savas, Sevtap; Harrison, Tabitha A; Banbury, Barb; Huang, Yuhan; Buchanan, Daniel D; Campbell, Peter T; Gallinger, Steven J; Giles, Graham G; Gunter, Marc J; Hoffmeister, Michael; Hsu, Li; Jenkins, Mark A; Lin, Yi; Ogino, Shuji; Phipps, Amanda I; Slattery, Martha L; Steinfelder, Robert S; Sun, Wei; Van Guelpen, Bethany; Hua, Xinwei; Figuieredo, Jane C; Pai, Rish K; Nassir, Rami; Qi, Lihong; Chan, Andrew T; Peters, Ulrike; Newcomb, Polly A.
Afiliação
  • Labadie JD; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Savas S; Department of Epidemiology, University of Washington, Seattle, WA, USA.
  • Harrison TA; Discipline of Genetics, Faculty of Medicine, Memorial University, St. John's, NL, Canada.
  • Banbury B; Discipline of Oncology, Faculty of Medicine, Memorial University, St. John's, NL, Canada.
  • Huang Y; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Buchanan DD; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Campbell PT; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Gallinger SJ; Department of Epidemiology, University of Washington, Seattle, WA, USA.
  • Giles GG; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.
  • Gunter MJ; Colorectal Oncogenomics Group, Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Parkville, VIC, Australia.
  • Hoffmeister M; Genetic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, VIC, Australia.
  • Hsu L; Department of Population Science, American Cancer Society, Atlanta, GA, USA.
  • Jenkins MA; Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, ON, Canada.
  • Lin Y; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.
  • Ogino S; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.
  • Phipps AI; Medicine, School of Clinical Sciences at Monash Health, Monash University, VIC, Australia.
  • Slattery ML; Nutrition and Metabolism Section, International Agency for Research On Cancer, World Health Organization, Lyon, France.
  • Steinfelder RS; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Sun W; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Van Guelpen B; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.
  • Hua X; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Figuieredo JC; Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Pai RK; Cancer Immunology Program, Dana-Farber Harvard Cancer Center, Boston, MA, USA.
  • Nassir R; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Qi L; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Chan AT; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Peters U; Department of Epidemiology, University of Washington, Seattle, WA, USA.
  • Newcomb PA; Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA.
Sci Rep ; 12(1): 127, 2022 01 07.
Article em En | MEDLINE | ID: mdl-34996992
ABSTRACT
Identification of new genetic markers may improve the prediction of colorectal cancer prognosis. Our objective was to examine genome-wide associations of germline genetic variants with disease-specific survival in an analysis of 16,964 cases of colorectal cancer. We analyzed genotype and colorectal cancer-specific survival data from a consortium of 15 studies. Approximately 7.5 million SNPs were examined under the log-additive model using Cox proportional hazards models, adjusting for clinical factors and principal components. Additionally, we ran secondary analyses stratifying by tumor site and disease stage. We used a genome-wide p-value threshold of 5 × 10-8 to assess statistical significance. No variants were statistically significantly associated with disease-specific survival in the full case analysis or in the stage-stratified analyses. Three SNPs were statistically significantly associated with disease-specific survival for cases with tumors located in the distal colon (rs698022, HR = 1.48, CI 1.30-1.69, p = 8.47 × 10-9) and the proximal colon (rs189655236, HR = 2.14, 95% CI 1.65-2.77, p = 9.19 × 10-9 and rs144717887, HR = 2.01, 95% CI 1.57-2.58, p = 3.14 × 10-8), whereas no associations were detected for rectal tumors. Findings from this large genome-wide association study highlight the potential for anatomical-site-stratified genome-wide studies to identify germline genetic risk variants associated with colorectal cancer-specific survival. Larger sample sizes and further replication efforts are needed to more fully interpret these findings.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Biomarcadores Tumorais / Polimorfismo de Nucleotídeo Único / Loci Gênicos Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Biomarcadores Tumorais / Polimorfismo de Nucleotídeo Único / Loci Gênicos Idioma: En Ano de publicação: 2022 Tipo de documento: Article