2024
The need for a cancer exposome atlas: a scoping review
Young A, Mullins C, Sehgal N, Vermeulen R, Kolijn P, Vlaanderen J, Rahman M, Birmann B, Barupal D, Lan Q, Rothman N, Walker D. The need for a cancer exposome atlas: a scoping review. JNCI Cancer Spectrum 2024, 9: pkae122. PMID: 39700422, PMCID: PMC11729703, DOI: 10.1093/jncics/pkae122.Peer-Reviewed Original ResearchConceptsCancer riskGenetic susceptibility to cancerStudy design limitationsSusceptibility to cancerCancer heritabilitySocial determinantsCancer epidemiologyExposome approachProspective associationsExternal risk factorsCancer casesPrimary preventionUnmet opportunitiesCancer researchChemical exposure profilesEnvironmental exposuresRisk factorsExposomeEvaluate progressCancer typesCancerRiskExposure profilesEnvironmental influencesLifestyleGene-environment interaction between exposure to smoky coal combustion and a polygenic risk score with the risk of lung cancer
Blechter B, Portengen L, Wang K, Wong J, Downward G, Hu W, Zhang Y, Rahman M, Hosgood H, Silverman D, Rothman N, Vermeulen R, Lan Q. Gene-environment interaction between exposure to smoky coal combustion and a polygenic risk score with the risk of lung cancer. ISEE Conference Abstracts 2024, 2024 DOI: 10.1289/isee.2024.0467.Peer-Reviewed Original ResearchPhenotypic and genetically predicted leucocyte telomere length and lung cancer risk in the prospective UK Biobank
Wong J, Blechter B, Hubbard A, Machiela M, Shi J, Gadalla S, Hu W, Rahman M, Rothman N, Lan Q. Phenotypic and genetically predicted leucocyte telomere length and lung cancer risk in the prospective UK Biobank. Thorax 2024, 79: 274-278. PMID: 38238005, PMCID: PMC10923134, DOI: 10.1136/thorax-2023-220076.Peer-Reviewed Original ResearchConceptsLung cancer riskLeucocyte telomere lengthCancer riskUK BiobankMendelian randomization analysisGenetic instrumentsIncident casesRandomization analysisNever smokersPolygenic scoresDose-response relationshipTelomere lengthCox regressionBiobankMultivariate Cox regressionRiskAssociationLung cancerNeverSmokersLungParticipants
2023
Lung Cancer Risk Prediction Models for Asian Ever-Smokers
Yang J, Wen W, Zahed H, Zheng W, Lan Q, Abe S, Rahman M, Islam M, Saito E, Gupta P, Tamakoshi A, Koh W, Gao Y, Sakata R, Tsuji I, Malekzadeh R, Sugawara Y, Kim J, Ito H, Nagata C, You S, Park S, Yuan J, Shin M, Kweon S, Yi S, Pednekar M, Kimura T, Cai H, Lu Y, Etemadi A, Kanemura S, Wada K, Chen C, Shin A, Wang R, Ahn Y, Shin M, Ohrr H, Sheikh M, Blechter B, Ahsan H, Boffetta P, Chia K, Matsuo K, Qiao Y, Rothman N, Inoue M, Kang D, Robbins H, Shu X. Lung Cancer Risk Prediction Models for Asian Ever-Smokers. Journal Of Thoracic Oncology 2023, 19: 451-464. PMID: 37944700, PMCID: PMC11126207, DOI: 10.1016/j.jtho.2023.11.002.Peer-Reviewed Original ResearchLow-intensity smokersLong-term quittersLung cancer riskRisk prediction modelProspective cohortCancer riskPopulation-based prospective cohortLung cancer risk prediction modelsLung cancer prediction modelsCancer risk prediction modelsRisk-based screeningRisk assessment toolEver smokersPooled analysisCancer prediction modelAsian cohortSmokersHighest AUCWestern populationsAsian populationsCohortGood calibrationQuittersAssessment toolRisk
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