Polyunsaturated Fatty Acid Levels and the Risk of Keratinocyte Cancer: A Mendelian Randomization Analysis.


Journal

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
ISSN: 1538-7755
Titre abrégé: Cancer Epidemiol Biomarkers Prev
Pays: United States
ID NLM: 9200608

Informations de publication

Date de publication:
08 2021
Historique:
received: 13 12 2020
revised: 20 02 2021
accepted: 19 05 2021
pubmed: 6 6 2021
medline: 25 2 2022
entrez: 5 6 2021
Statut: ppublish

Résumé

Keratinocyte cancer is the commonest cancer, imposing a high economic burden on the health care system. Observational studies have shown mixed associations between polyunsaturated fatty acids (PUFA) and keratinocyte cancer, basal cell carcinoma (BCC), and squamous cell carcinoma (SCC). We explored whether genetically predicted PUFA levels are associated with BCC and SCC risks. We conducted a two-sample Mendelian randomization study using PUFA level genome-wide association studies (GWAS) from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium ( One SD increase in genetically predicted levels of linoleic acid [OR = 0.94, 95% confidence interval (CI) = 0.91-0.97, Higher genetically predicted levels of linoleic acid and alpha-linolenic acid were associated with a reduced BCC risk, but arachidonic acid and eicosapentaenoic acid were associated with a higher BCC risk. PUFA-related diet and supplementation could influence BCC etiology.

Sections du résumé

BACKGROUND
Keratinocyte cancer is the commonest cancer, imposing a high economic burden on the health care system. Observational studies have shown mixed associations between polyunsaturated fatty acids (PUFA) and keratinocyte cancer, basal cell carcinoma (BCC), and squamous cell carcinoma (SCC). We explored whether genetically predicted PUFA levels are associated with BCC and SCC risks.
METHODS
We conducted a two-sample Mendelian randomization study using PUFA level genome-wide association studies (GWAS) from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (
RESULTS
One SD increase in genetically predicted levels of linoleic acid [OR = 0.94, 95% confidence interval (CI) = 0.91-0.97,
CONCLUSIONS
Higher genetically predicted levels of linoleic acid and alpha-linolenic acid were associated with a reduced BCC risk, but arachidonic acid and eicosapentaenoic acid were associated with a higher BCC risk.
IMPACT
PUFA-related diet and supplementation could influence BCC etiology.

Identifiants

pubmed: 34088753
pii: 1055-9965.EPI-20-1765
doi: 10.1158/1055-9965.EPI-20-1765
pmc: PMC9306272
doi:

Substances chimiques

Biomarkers, Tumor 0
Fatty Acids, Unsaturated 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1591-1598

Informations de copyright

©2021 The Authors; Published by the American Association for Cancer Research.

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Auteurs

Mathias Seviiri (M)

Statistical Genetics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia. mathias.seviiri@qimrberghofer.edu.au.
School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.

Matthew H Law (MH)

Statistical Genetics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.

Jue Sheng Ong (JS)

Statistical Genetics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.

Puya Gharahkhani (P)

Statistical Genetics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.

Dale R Nyholt (DR)

School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.

Catherine M Olsen (CM)

Cancer Control Group, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.

David C Whiteman (DC)

Cancer Control Group, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.

Stuart MacGregor (S)

Statistical Genetics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.

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