Qing Lan, MD, PhD
Professor Adjunct of Epidemiology (Environmental Health)DownloadHi-Res Photo
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Professor Adjunct of Epidemiology (Environmental Health)
Professor Adjunct, Environmental Health Sciences
Biography
Dr. Qing Lan a world leader in environmental and occupational exposures, human health studies and gene environment interaction. Her research focuses on molecular epidemiologic studies of populations exposed to several classes of chemical compounds that are known or suspected occupational and environmental carcinogens. She is one of YSPH’s main collaborators at NCI studying environmental exposures, genetic susceptibility for NHL and multiple myeloma, indoor air pollution and gene polymorphisms for lung cancer risk in Xuanwei, China. She has mentored several YSPH PhD candidates.
Dr. Lan received her M.D. at Weifang Medical University and her Ph.D. in molecular epidemiology at the Chinese Academy of Preventive Medicine in Beijing, as part of a joint training program with the United States Environmental Protection Agency and University of North Carolina at Chapel Hill, and received her MPH at Johns Hopkins University.
Last Updated on April 07, 2025.
Appointments
Environmental Health Sciences
Professor AdjunctPrimary
Other Departments & Organizations
Education & Training
- PhD
- Chinese Academy of Preventive Medicine (2001)
- MD
- Weifang Medical College (1985)
Research
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Overview
Public Health Interests
Biomarkers; Environmental Health
ORCID
0000-0002-0888-8839
Research at a Glance
Yale Co-Authors
Frequent collaborators of Qing Lan's published research.
Publications Timeline
A big-picture view of Qing Lan's research output by year.
Melissa Friesen
Robert Homer, MD, PhD
Bonnie E Gould Rothberg, MD, PhD, MPH, MMM, FACP
Huey Cai
Lei Song, MD, PhD
Wei Zheng
71Publications
313Citations
Publications
2026
Circulating levels of insulin‐like growth factor I (IGF‐I) and risk of multiple myeloma: An observational and Mendelian randomisation study
Benavente Y, Hermosa S, Papadimitriou N, Clay‐Gilmour A, Brown E, Hofmann J, Rothman N, Lan Q, Berndt S, Albanes D, Purdue M, Machiela M, Chanock S, Bhatti P, Cozen W, Norman A, Slager S, Cerhan J, Rajkumar V, Kumar S, Vachon C, Novak A, Habermann T, Link B, Salles G, Ghesquieres H, Bracci P, Holly E, Griffin R, Hildebrandt M, Vermeulen R, Kolijn P, Hjalgrim H, Smedby K, Jayasekara H, Cheah S, Monnereau A, Chen Y, Arslan A, Zhang Y, Camp N, Sborov D, Osman A, Ziv E, De Vivo I, Joseph V, Teras L, Patel A, Kane E, Vajdic C, Guilloteau A, Cocco P, Alemany L, Sainz J, McKay J, Birmann B, Casabonne D. Circulating levels of insulin‐like growth factor I (IGF‐I) and risk of multiple myeloma: An observational and Mendelian randomisation study. British Journal Of Haematology 2026 PMID: 41873017, DOI: 10.1111/bjh.70444.Peer-Reviewed Original ResearchAltmetricConceptsIGF-I levelsInsulin-like growth factorLymphoid neoplasmsIGF-IMultiple myelomaIGFBP-3Circulating LevelsChronic lymphocytic leukaemia/small lymphocytic lymphomaIGF-binding protein-3Circulating levels of insulin-like growth factor-ILevels of insulin-like growth factor-IInsulin-like growth factor-IIGFBP-3 levelsHigher Body Mass IndexRisk of MMBody mass indexGrowth factor-IBaseline serological dataIGF-I concentrationsRisk of multiple myelomaLymphocytic lymphomaIGF-bindingMM riskRandomised studyMass indexVariation on Toxic and Inflammatory Potential of Coal Smoke of Different Sources From a Region With High Lung Cancer Risk
Zhang Y, Hu W, Rothman N, Liu D, Li J, Xu J, Ning B, Vermeulen R, Lan Q, Cassee F, Downward G. Variation on Toxic and Inflammatory Potential of Coal Smoke of Different Sources From a Region With High Lung Cancer Risk. Environmental Toxicology 2026 PMID: 41802872, DOI: 10.1002/tox.70075.Peer-Reviewed Original ResearchConceptsLung cancer riskTransepithelial electrical resistanceCancer riskCo-culture modelInflammatory potentialPolycyclic aromatic hydrocarbonsHigher lung cancer riskEpithelial barrier damageIL-8 releaseLung cancer developmentDose-dependent mannerIL-6 releaseCoal samplesTransient inflammationCalu-3Lung cancerLung EpithelialIL-6Cancer developmentProinflammatory potentialBarrier damageLungTHP-1Carcinogenic mechanismsExcess lung cancer riskGenomic Characterization of Lung Cancer in Never-Smokers Using Deep Learning
Saha M, Tran T, Bhawsar P, Zhang T, Zhao W, Hoang P, Mutreja K, Lawrence S, Rothman N, Lan Q, Homer R, Baine M, Sholl L, Joubert P, Leduc C, Travis W, Chanock S, Shi J, Yang S, Almeida J, Landi M. Genomic Characterization of Lung Cancer in Never-Smokers Using Deep Learning. Modern Pathology 2026, 39: 100973. PMID: 41638573, PMCID: PMC12975288, DOI: 10.1016/j.modpat.2026.100973.Peer-Reviewed Original ResearchConceptsWhole-slide imagesDeep learningCustomized deep convolutional neural networkDeep convolutional neural networkHistological whole-slide imagesConvolutional neural networkHotspot mutationsLung cancerMultilabel classificationBottleneck layerClassification headResidual blockCharacterization of lung cancerKRAS hotspot mutationsResNet50 architectureComputational complexityTumor mutational burdenInception-v3Neural networkReceiver operating characteristic curveHistologically distinctive subsetAPOBEC mutational signaturesOperating characteristics curveALK fusionsCDKN2A deletionAssociations between Prior Lung Diseases and Risk of Lung Cancer in Populations With No Smoking History: A Systematic Review and Meta-Analysis
Swami N, Hong J, Kho S, Kang H, Chun-Chia Lin L, Ni S, Florez N, Lan Q, Rothman N, Dee E, Gomez S, Cheng I. Associations between Prior Lung Diseases and Risk of Lung Cancer in Populations With No Smoking History: A Systematic Review and Meta-Analysis. Chest 2026 PMID: 41534708, DOI: 10.1016/j.chest.2025.12.034.Peer-Reviewed Original ResearchAltmetricConceptsLung cancer riskCancer riskInternational Prospective RegisterInternational Prospective Register of Systematic ReviewsSystematic reviewRisk of lung cancerProspective Register of Systematic ReviewsProportion of lung cancersInverse variance weightingSmoking historySubgroup meta-analysesNewcastle-Ottawa ScaleAssociation of TBCase-control studyChronic bronchitisRandom-effects modelHistory of TBSocioeconomic statusVariance weightingStudy qualityStudy continentBetween-study varianceCase-controlFunnel plotCohort studyEpigenome-wide association study of household air pollution exposure in an area with high lung cancer incidence
Rahman M, Portengen L, Blechter B, Breeze C, Wong J, Hu W, Downward G, Zhang Y, Cardenas A, Ning B, Li J, Yang K, Hosgood H, Silverman D, Rothman N, Huang Y, Vermeulen R, Lan Q. Epigenome-wide association study of household air pollution exposure in an area with high lung cancer incidence. Environmental Research 2026, 292: 123690. PMID: 41500301, DOI: 10.1016/j.envres.2026.123690.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsPolycyclic aromatic hydrocarbonsHousehold air pollutionHousehold air pollution exposureLung cancer incidenceNever-smoking womenCancer incidenceHAP exposureExposure windowsAir pollution exposureEpigenome-wide association studiesEnvironmental air monitoringPAH exposureAromatic hydrocarbonsGeneralized Estimating EquationsPotential health implicationsPollution exposureCoal combustionEarly-life exposuresAir pollutionStove typeAir monitoringCooking fuel useSmoking markersEpigenome-wide DNA methylationLeukocyte DNA methylation
2025
Microbiome analysis of 940 lung cancers in never-smokers reveals lack of clinically relevant associations
McElderry J, Zhang T, Zhao W, Hoang P, Anyaso-Samuel S, Sang J, Khandekar A, Hartman C, Colón-Matos F, Miraftab M, Saha M, Lee O, Sharma S, Jones K, Zhu B, Díaz-Gay M, Mas L, Arrieta O, Edell E, Santamaría J, Schabath M, Yendamuri S, Manczuk M, Lissowska J, Świątkowska B, Mukeria A, Shangina O, Zaridze D, Holcatova I, Janout V, Mates D, Ognjanovic S, Savic M, Kontic M, Bossé Y, Gould Rothberg B, Christiani D, Gaborieau V, Brennan P, Liu G, Hofman P, Wong M, Leung K, Chen C, Hsiung C, Rothman N, Leduc C, Baine M, Travis W, Sholl L, Joubert P, Homer R, Yang S, Lan Q, Nowak M, Wedge D, Alexandrov L, Chanock S, Vogtmann E, Abnet C, Shi J, Landi M. Microbiome analysis of 940 lung cancers in never-smokers reveals lack of clinically relevant associations. Nature Communications 2025, 17: 192. PMID: 41387456, PMCID: PMC12780107, DOI: 10.1038/s41467-025-66780-y.Peer-Reviewed Original ResearchAltmetricConceptsWhole-genome sequencingRNA-seqMicrobiome associationsRRNA gene sequencesMicrobial readsGene sequencesMicrobiome studiesSpecies levelTissue microbiomeGenetic ancestryMultiple data typesCommensal bacteriaMicrobiome analysisBacterial DNACancer microbiomeMicrobiomeLow biomassGenomic alterationsPaired normal lung tissuesHuman cancersSequenceLung cancerNormal lung tissuesLung tissueGenusUncovering the role of LINE-1 in the evolution of lung adenocarcinoma
Zhang T, Zhao W, Wirth C, Díaz-Gay M, Yin J, Cecati M, Marchegiani F, Hoang P, Leduc C, Baine M, Travis W, Sholl L, Joubert P, Sang J, McElderry J, Antony M, Klein A, Khandekar A, Hartman C, Rosenbaum J, Colón-Matos F, Miraftab M, Saha M, Lee O, Jones K, Caporaso N, Wong M, Leung K, Hsiung C, Chen C, Edell E, Santamaría J, Schabath M, Yendamuri S, Manczuk M, Lissowska J, Świątkowska B, Mukeria A, Shangina O, Zaridze D, Holcatova I, Mates D, Milosavljevic S, Savic M, Bossé Y, Rothberg B, Christiani D, Gaborieau V, Brennan P, Liu G, Hofman P, Homer R, Yang S, Pesatori A, Consonni D, Yang L, Zhu B, Shi J, Brown K, Rothman N, Chanock S, Alexandrov L, Choi J, Cardelli M, Lan Q, Nowak M, Wedge D, Landi M. Uncovering the role of LINE-1 in the evolution of lung adenocarcinoma. Nature 2025, 650: 230-241. PMID: 41372401, PMCID: PMC12823094, DOI: 10.1038/s41586-025-09825-y.Peer-Reviewed Original ResearchCitationsAltmetricConceptsLung adenocarcinomaEvolution of lung adenocarcinomaPoor overall survivalCopy-number alterationsTobacco smoke exposureEGFR mutationsNeoantigen burdenOverall survivalHypoxia scoreNever-smokersAggressive phenotypeSubclonal diversificationTreatment planningDeep whole-genome sequencingPromoter demethylationMetastasis propensityTumorSmoke exposureWhole-genome sequencingClonal architectureFemale individualsMutational signaturesShort latencyAdenocarcinomaIndividuals of European ancestryCorrection: Case Report: FGFR1 mutation and massive chromosome loss drive malignant transformation of low-grade gliomas
Tang R, Chen Y, Wan D, Xiang Y, Chen S, Chen H, Dai X, Rong R, Xiao S, Lan Q, Wang H, Huang S. Correction: Case Report: FGFR1 mutation and massive chromosome loss drive malignant transformation of low-grade gliomas. Frontiers In Oncology 2025, 15: 1748919. PMID: 41415545, PMCID: PMC12709116, DOI: 10.3389/fonc.2025.1748919.Peer-Reviewed Original ResearchTMEM165 promotes glioblastoma progression through epithelial-mesenchymal transition-mediated invasion and temozolomide chemoresistance
Cheng H, Ding Y, Shen X, Wang Q, Zhang Z, Wang Y, Chen S, Zhuo S, Wang K, Yang L, Ji F, Fu Z, Lan Q, Yang K. TMEM165 promotes glioblastoma progression through epithelial-mesenchymal transition-mediated invasion and temozolomide chemoresistance. International Journal Of Biological Macromolecules 2025, 335: 149216. PMID: 41308767, DOI: 10.1016/j.ijbiomac.2025.149216.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsEpithelial-mesenchymal transitionTMEM165Regulatory proteinsPoor prognosisBioinformatics analysisEnrichment analysisEMT-related proteinsAssociated with shorter survivalHigh tumor gradeWild-type statusSensitivity to temozolomideOncogenic roleCentral nervous systemTherapeutic targetGlioblastoma proliferationGlioblastoma progressionProteinTumor gradeIn vivoShorter survivalMalignant tumorsAggressive natureGlioma patientsTemozolomideIn vitro experimentsThe Time-Dependent Association Between Irritable Bowel Syndrome and All-Cause and Cause-Specific Mortality in the NIH-AARP Cohort Study.
Gutiérrez-Torres D, Li F, Liao L, Daniel C, Sharma S, Li R, Brown E, Lan Q, Inoue-Choi M, Moshiree B, Albert P, Sinha R, Vogtmann E. The Time-Dependent Association Between Irritable Bowel Syndrome and All-Cause and Cause-Specific Mortality in the NIH-AARP Cohort Study. The American Journal Of Gastroenterology 2025 PMID: 41518229, PMCID: PMC12880108, DOI: 10.14309/ajg.0000000000003861.Peer-Reviewed Original ResearchAltmetricConceptsCause-specific mortalityCardiovascular disease mortalityIrritable bowel syndrome diagnosisAll-CauseNIH-AARPDisease mortalityInverse associationIrritable bowel syndromeHazard ratioLow riskLow risk of cancerConfidence intervalsNational Death IndexRisk of cancerFollow-up intervalCox proportional hazards regression modelsProportional hazards regression modelsMultivariate Cox proportional hazards regression modelsHazards regression modelsHealth StudyFollow-upDeath IndexMortality outcomesCohort studyBowel syndrome
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