Novel insights into genetic susceptibility for colorectal cancer from transcriptome-wide association and functional investigation.


Journal

Journal of the National Cancer Institute
ISSN: 1460-2105
Titre abrégé: J Natl Cancer Inst
Pays: United States
ID NLM: 7503089

Informations de publication

Date de publication:
10 Jan 2024
Historique:
received: 29 03 2023
revised: 10 07 2023
accepted: 19 08 2023
pmc-release: 26 08 2024
medline: 11 1 2024
pubmed: 27 8 2023
entrez: 26 8 2023
Statut: ppublish

Résumé

Transcriptome-wide association studies have been successful in identifying candidate susceptibility genes for colorectal cancer (CRC). To strengthen susceptibility gene discovery, we conducted a large transcriptome-wide association study and an alternative splicing transcriptome-wide association study in CRC using improved genetic prediction models and performed in-depth functional investigations. We analyzed RNA-sequencing data from normal colon tissues and genotype data from 423 European descendants to build genetic prediction models of gene expression and alternative splicing and evaluated model performance using independent RNA-sequencing data from normal colon tissues of the Genotype-Tissue Expression Project. We applied the verified models to genome-wide association studies (GWAS) summary statistics among 58 131 CRC cases and 67 347 controls of European ancestry to evaluate associations of genetically predicted gene expression and alternative splicing with CRC risk. We performed in vitro functional assays for 3 selected genes in multiple CRC cell lines. We identified 57 putative CRC susceptibility genes, which included the 48 genes from transcriptome-wide association studies and 15 genes from splicing transcriptome-wide association studies, at a Bonferroni-corrected P value less than .05. Of these, 16 genes were not previously implicated in CRC susceptibility, including a gene PDE7B (6q23.3) at locus previously not reported by CRC GWAS. Gene knockdown experiments confirmed the oncogenic roles for 2 unreported genes, TRPS1 and METRNL, and a recently reported gene, C14orf166. This study discovered new putative susceptibility genes of CRC and provided novel insights into the biological mechanisms underlying CRC development.

Sections du résumé

BACKGROUND BACKGROUND
Transcriptome-wide association studies have been successful in identifying candidate susceptibility genes for colorectal cancer (CRC). To strengthen susceptibility gene discovery, we conducted a large transcriptome-wide association study and an alternative splicing transcriptome-wide association study in CRC using improved genetic prediction models and performed in-depth functional investigations.
METHODS METHODS
We analyzed RNA-sequencing data from normal colon tissues and genotype data from 423 European descendants to build genetic prediction models of gene expression and alternative splicing and evaluated model performance using independent RNA-sequencing data from normal colon tissues of the Genotype-Tissue Expression Project. We applied the verified models to genome-wide association studies (GWAS) summary statistics among 58 131 CRC cases and 67 347 controls of European ancestry to evaluate associations of genetically predicted gene expression and alternative splicing with CRC risk. We performed in vitro functional assays for 3 selected genes in multiple CRC cell lines.
RESULTS RESULTS
We identified 57 putative CRC susceptibility genes, which included the 48 genes from transcriptome-wide association studies and 15 genes from splicing transcriptome-wide association studies, at a Bonferroni-corrected P value less than .05. Of these, 16 genes were not previously implicated in CRC susceptibility, including a gene PDE7B (6q23.3) at locus previously not reported by CRC GWAS. Gene knockdown experiments confirmed the oncogenic roles for 2 unreported genes, TRPS1 and METRNL, and a recently reported gene, C14orf166.
CONCLUSION CONCLUSIONS
This study discovered new putative susceptibility genes of CRC and provided novel insights into the biological mechanisms underlying CRC development.

Identifiants

pubmed: 37632791
pii: 7252238
doi: 10.1093/jnci/djad178
pmc: PMC10777674
doi:

Substances chimiques

RNA 63231-63-0
TRPS1 protein, human 0
Repressor Proteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

127-137

Subventions

Organisme : NIDDK NIH HHS
ID : P30 DK058404
Pays : United States
Organisme : NCI NIH HHS
ID : R37 CA227130
Pays : United States
Organisme : NIH HHS
ID : R37 CA227130
Pays : United States

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.

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Auteurs

Zhishan Chen (Z)

Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.

Wenqiang Song (W)

Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA.

Xiao-Ou Shu (XO)

Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.

Wanqing Wen (W)

Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.

Matthew Devall (M)

Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.

Christopher Dampier (C)

Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.

Ferran Moratalla-Navarro (F)

Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Barcelona, Spain.
Colorectal Cancer Group, ONCOBELL Program, Institut de Recerca Biomedica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
Department of Clinical Sciences, Faculty of Medicine and Health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona (UB), L'Hospitalet de Llobregat, Barcelona, Spain.
Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.

Qiuyin Cai (Q)

Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.

Jirong Long (J)

Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.

Luc Van Kaer (L)

Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA.

Lan Wu (L)

Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA.

Jeroen R Huyghe (JR)

Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Minta Thomas (M)

Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Li Hsu (L)

Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Department of Biostatistics, University of Washington, Seattle, WA, USA.

Michael O Woods (MO)

Memorial University of Newfoundland, Discipline of Genetics, St. John's, ON, Canada.

Demetrius Albanes (D)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

Daniel D Buchanan (DD)

Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, Australia.
University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia.
Genetic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, VIC, Australia.

Andrea Gsur (A)

Center for Cancer Research, Medical University of Vienna, Vienna, Austria.

Michael Hoffmeister (M)

Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Pavel Vodicka (P)

Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic.
Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic.
Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic.

Alicja Wolk (A)

Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.

Loic Le Marchand (LL)

University of Hawaii Cancer Center, Honolulu, HI, USA.

Anna H Wu (AH)

Preventative Medicine, University of Southern California, Los Angeles, CA, USA.

Amanda I Phipps (AI)

Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Department of Epidemiology, University of Washington, Seattle, WA, USA.

Victor Moreno (V)

Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Barcelona, Spain.
Colorectal Cancer Group, ONCOBELL Program, Institut de Recerca Biomedica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
Department of Clinical Sciences, Faculty of Medicine and Health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona (UB), L'Hospitalet de Llobregat, Barcelona, Spain.
Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.

Peters Ulrike (P)

Department of Epidemiology, University of Washington, Seattle, WA, USA.

Wei Zheng (W)

Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.

Graham Casey (G)

Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.

Xingyi Guo (X)

Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA.

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