Alcohol consumption and molecular subtypes of colorectal cancer: pooled observational and Mendelian randomization analyses

dc.contributor.authorChalitsios, Christos V.
dc.contributor.authorChan, Wing Ching
dc.contributor.authorMarkozannes, Georgios
dc.contributor.authorAglago, Elom K.
dc.contributor.authorBerndt, Sonja I.
dc.contributor.authorBuchanan, Daniel D
dc.contributor.authorCampbell, Peter T.
dc.contributor.authorCao, Yin
dc.contributor.authorDimou, Niki
dc.contributor.authorDrew, David A.
dc.contributor.authorFrench, Amy J.
dc.contributor.authorGallinger, Steven
dc.contributor.authorGeorgeson, Peter
dc.contributor.authorGiannakis, Marios
dc.contributor.authorGruber, Stephen B.
dc.contributor.authorGunter, Marc J.
dc.contributor.authorHarrison, Tabitha A.
dc.contributor.authorBrenner, Hermann
dc.contributor.authorHoffmeister, Michael
dc.contributor.authorUrruchúa Rodríguez, Mary-Jose
dc.contributor.authorHsu, Li
dc.contributor.authorHuang, Wen-Yi
dc.contributor.authorHullar, Meredith Aj.
dc.contributor.authorHuyghe, Jeroen R.
dc.contributor.authorJenkins, Mark A.
dc.contributor.authorJayasekara, Harindra
dc.contributor.authorMoreno Aguado, Víctor
dc.contributor.authorNewton, Christina C.
dc.contributor.authorNowak, Jonathan A.
dc.contributor.authorObón Santacana, Mireia
dc.contributor.authorOgino, Shuji
dc.contributor.authorPellatt, Andrew J.
dc.contributor.authorPeoples, Anita R.
dc.contributor.authorQu, Conghui
dc.contributor.authorSchmit, Stephanie L.
dc.contributor.authorSteinfelder, Robert
dc.contributor.authorSun, Wei
dc.contributor.authorThomas, Claire E.
dc.contributor.authorToland, Amanda E.
dc.contributor.authorTrinh, Quang M.
dc.contributor.authorUgai, Tomotaka
dc.contributor.authorUm, Caroline Y.
dc.contributor.authorVan Guelpen, Bethany
dc.contributor.authorZaidi, Syed H.
dc.contributor.authorPeters, Ulrike
dc.contributor.authorPhipps, Amanda I.
dc.contributor.authorTsilidis, Konstantinos K.
dc.date.accessioned2026-07-01T17:32:48Z
dc.date.available2026-07-01T17:32:48Z
dc.date.issued2026-06
dc.date.updated2026-07-01T17:32:48Z
dc.description.abstractBackground: Alcohol consumption is associated with colorectal cancer (CRC) risk, yet its association with distinct molecular subtypes remains unclear. Clarifying this could reveal insights into alcohol’s carcinogenic mechanisms. Objectives: We examined the association between alcohol consumption and the risk of CRC subtypes defined by individual tumor markers (and marker combinations), namely microsatellite instability (MSI) status, CpG island methylator phenotype (CIMP) status, BRAF, and KRAS mutations. Methods: Pooled observational (ncases = 11,826, ncontrols = 10,888; nstudies = 10) and genome-wide association data (ncases = 8178, ncontrols = 10,472; nstudies = 10) were used. Multivariable logistic regression models and Mendelian randomization (MR) analyses were conducted to assess the association between alcohol consumption, modeled in MR as genetically predicted mean drinks per week per 1 SD increase (≈2.9 drinks/wk), and risk of CRC subtypes defined by individual tumor markers (and marker combinations). Case-only analyses tested for differences between molecular subtypes. Bonferroni correction was applied for multiple tests. Results: Among drinkers, each additional 14 g/d of alcohol was associated with a 10% higher CRC risk [odds ratio (OR) = 1.10; 95% confidence interval (CI): 1.07, 1.13], but this association was primarily driven by heavy alcohol consumption (>28 g/d). Including nondrinkers revealed a J-shaped association (P-nonlinearity = 0.002). The associations with higher alcohol consumption were stronger in males compared with females. No significant heterogeneity was observed across MSI, CIMP, BRAF, or KRAS-defined subtypes. All associations were similar across smoking status, folate intake, tumor anatomical site, study design, early/late-onset CRC, and across individual studies (P-heterogeneity > 0.05). MR analyses supported that higher genetically predicted alcohol consumption was associated with CRC risk (ORIVW-per 1SD = 1.25; 95% CI: 1.01, 1.57), but similarly to the observational analysis, without evidence of heterogeneity across molecular subtypes. Conclusions: Heavy alcohol consumption may initiate colorectal carcinogenesis through mechanisms that operate across all examined molecular pathways for CRC. Although the largest available data were used, power is lower for subtype heterogeneity analyses, and modest interaction effects cannot be excluded.
dc.format.extent13 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec770697
dc.identifier.issn0002-9165
dc.identifier.pmid42031341
dc.identifier.urihttps://hdl.handle.net/2445/230368
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1016/j.ajcnut.2026.101308
dc.relation.ispartofThe American Journal of Clinical Nutrition, 2026, vol. 123, num.6
dc.relation.urihttps://doi.org/10.1016/j.ajcnut.2026.101308
dc.rightscc-by-nc-nd (c) Chalitsios, Christos V. et al., 2026
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceArticles publicats en revistes (Ciències Clíniques)
dc.subject.classificationCàncer colorectal
dc.subject.classificationAlcohol
dc.subject.otherColorectal cancer
dc.subject.otherAlcohol
dc.titleAlcohol consumption and molecular subtypes of colorectal cancer: pooled observational and Mendelian randomization analyses
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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