Evidence map›Paper›PMID 37632791›Full record

ArticleJournal of the National Cancer Institute2024

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

Zhishan Chen, Wenqiang Song, Xiao-Ou Shu, Wanqing Wen, Matthew Devall, Christopher Dampier, Ferran Moratalla-Navarro, Qiuyin Cai, Jirong Long, Luc Van Kaer and 19 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 12 citations in OpenAlex.

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  9. [Construction of a fecal protein Luminex liquid chip detection system for early diagnosis of colorectal tumors].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

29 authors at 15 institutions in 8 countries.

Zhishan ChenDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Wenqiang SongDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Xiao-Ou ShuDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Wanqing WenDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.ORCID 0000-0002-3004-5168
Matthew DevallDepartment of Public Health Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0001-5943-4397
Christopher DampierDepartment of Public Health Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
Ferran Moratalla-NavarroOncology Data Analytics Program, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Barcelona, Spain.
Qiuyin CaiDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Jirong LongDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Luc Van KaerDepartment of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA.
Lan WuDepartment of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA.
Jeroen R HuyghePublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.ORCID 0000-0001-6027-9806
Minta ThomasPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Li HsuPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Michael O WoodsMemorial University of Newfoundland, Discipline of Genetics, St. John's, ON, Canada.
Demetrius AlbanesDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Daniel D BuchananColorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, Australia.ORCID 0000-0003-2225-6675
Andrea GsurCenter for Cancer Research, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-9795-1528
Michael HoffmeisterDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0002-8307-3197
Pavel VodickaDepartment of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic.
Alicja WolkInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-7387-6845
Loic Le MarchandUniversity of Hawaii Cancer Center, Honolulu, HI, USA.
Anna H WuPreventative Medicine, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0003-0546-902X
Amanda I PhippsPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Victor MorenoOncology Data Analytics Program, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Barcelona, Spain.ORCID 0000-0002-2818-5487
Peters UlrikeDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Graham CaseyDepartment of Public Health Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
Xingyi GuoDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.ORCID 0000-0002-8496-6288
Vanderbilt University · USOffice of Public Health Genomics · USUniversity of Washington · USFred Hutch Cancer Center · USInstitut d'Investigació Biomédica de Bellvitge · ESVanderbilt University Medical Center · USCharles University · CZComprehensive Cancer Center Vienna · ATGerman Cancer Research Center · DEKarolinska Institutet · SEMemorial University of Newfoundland · CANational Institutes of Health · USThe Royal Melbourne Hospital · AUUniversity of Hawaiʻi at Mānoa · USUniversity of Southern California · US

Funding

Translational Analysis CoreP30DK058404 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MARY Kay WASHINGTON · 2002 to 2026
$29.9M
Anatomic Pathology Residency ProgramZIEBC011384 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI BARR, FREDERIC · 2011 to 2025
$26.8M
Transcriptome-wide association study to identify susceptibility genes for colorectal cancerR37CA227130 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GUO, XINGYI · 2018 to 2023
$3.7M
NCI NIH HHS R37 CA227130NIDDK NIH HHS P30 DK058404NIH HHS R37 CA227130
6 · The paper itself

Abstract

backgroundTranscriptome-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.

methodsWe 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.

resultsWe 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.

conclusionThis study discovered new putative susceptibility genes of CRC and provided novel insights into the biological mechanisms underlying CRC development.

Indexed as

Colorectal NeoplasmsTranscriptomeGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single NucleotideRepressor ProteinsRNARepressor ProteinsRNATRPS1 protein, human

Identifiers

PMID37632791
PMCPMC10777674
OpenAlexW4386196894

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.