Relationship between 233 colorectal cancer risk loci and survival in 1926 patients with advanced disease.


Journal

BJC reports
ISSN: 2731-9377
Titre abrégé: BJC Rep
Pays: England
ID NLM: 9918752188106676

Informations de publication

Date de publication:
2023
Historique:
received: 02 03 2023
revised: 09 05 2023
accepted: 12 05 2023
medline: 1 1 2023
pubmed: 1 1 2023
entrez: 26 4 2024
Statut: ppublish

Résumé

Genome, transcriptome and methylome-wide association studies have identified single-nucleotide polymorphisms (SNPs) or genes at 258 loci associated with colorectal cancer (CRC) risk. We studied the relationship between these and patient outcome. We studied 1926 unrelated patients with advanced CRC from COIN and COIN-B. Of 205 CRC-risk SNPs, 19 were directly genotyped and 162 were imputed, and of 53 risk genes, 52 were tested. An additive Cox model for overall survival was adjusted for known prognostic factors. For nominally significant SNPs or genes, we considered a recessive model with a Bonferroni corrected threshold of Eleven SNPs or genes were nominally associated with survival under an additive model. Only rs117079142 mapping to rs117079142 and rs9924886 may represent potential prognostic biomarkers for CRC.

Sections du résumé

Background UNASSIGNED
Genome, transcriptome and methylome-wide association studies have identified single-nucleotide polymorphisms (SNPs) or genes at 258 loci associated with colorectal cancer (CRC) risk. We studied the relationship between these and patient outcome.
Methods UNASSIGNED
We studied 1926 unrelated patients with advanced CRC from COIN and COIN-B. Of 205 CRC-risk SNPs, 19 were directly genotyped and 162 were imputed, and of 53 risk genes, 52 were tested. An additive Cox model for overall survival was adjusted for known prognostic factors. For nominally significant SNPs or genes, we considered a recessive model with a Bonferroni corrected threshold of
Results UNASSIGNED
Eleven SNPs or genes were nominally associated with survival under an additive model. Only rs117079142 mapping to
Conclusion UNASSIGNED
rs117079142 and rs9924886 may represent potential prognostic biomarkers for CRC.

Identifiants

pubmed: 38665548
doi: 10.1038/s44276-023-00003-z
pii: 3
pmc: PMC11041780
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2

Informations de copyright

© The Author(s) 2023.

Déclaration de conflit d'intérêts

Competing interestsThe authors declare no competing interests.

Auteurs

Christopher Wills (C)

Division of Cancer and Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff, CF14 4XN UK.

Amy Houseman (A)

Division of Cancer and Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff, CF14 4XN UK.

Katie Watts (K)

Division of Cancer and Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff, CF14 4XN UK.

Timothy S Maughan (TS)

CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Roosevelt Drive, Oxford, OX3 7DQ UK.

David Fisher (D)

MRC Clinical Trials Unit, University College of London, 125 Kingsway, London, WC2B 6NH UK.

Richard S Houlston (RS)

Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP UK.

Hannah D West (HD)

Division of Cancer and Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff, CF14 4XN UK.

Valentina Escott-Price (V)

Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Hadyn Ellis Building, Maindy Road, Cardiff, CF24 4HQ UK.

Jeremy P Cheadle (JP)

Division of Cancer and Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff, CF14 4XN UK.

Classifications MeSH