2025
Mitochondrial tRNA fragment, mt-tRF-Tyr-GTA-001 (tRF-21-X3OJI8EWB), in breast cancer and its potential clinical implications
Wang J, Katsaros D, Wang Z, Ma L, Casetta E, Fei P, Denti P, Grimaudo I, Chen S, Deng Y, Yu H. Mitochondrial tRNA fragment, mt-tRF-Tyr-GTA-001 (tRF-21-X3OJI8EWB), in breast cancer and its potential clinical implications. Breast Cancer Research And Treatment 2025, 211: 675-685. PMID: 40102335, DOI: 10.1007/s10549-025-07682-x.Peer-Reviewed Original ResearchConceptsBreast tumorsInvolvement of tRNARegulation of cell phenotypeSuppress breast cancer progressionSmall non-coding RNAsIn silico analysisOncogenic transcription factorHormone receptor statusCox proportional hazards regressionMitochondrial tRNAsBreast cancer progressionCleaves tRNATRNA fragmentsProportional hazards regressionRNase 4Non-coding RNAsPotential clinical implicationsResting mast cellsTranscription factorsSilico analysisReceptor statusTumor immunityQuantitative RT-PCRTRNATumor grade
2024
Genome-Wide Analysis to Assess if Heavy Alcohol Consumption Modifies the Association between SNPs and Pancreatic Cancer Risk.
Ni Z, Kundu P, McKean D, Wheeler W, Albanes D, Andreotti G, Antwi S, Arslan A, Bamlet W, Beane-Freeman L, Berndt S, Bracci P, Brennan P, Buring J, Chanock S, Gallinger S, Gaziano J, Giles G, Giovannucci E, Goggins M, Goodman P, Haiman C, Hassan M, Holly E, Hung R, Katzke V, Kooperberg C, Kraft P, LeMarchand L, Li D, McCullough M, Milne R, Moore S, Neale R, Oberg A, Patel A, Peters U, Rabe K, Risch H, Shu X, Smith-Byrne K, Visvanathan K, Wactawski-Wende J, White E, Wolpin B, Yu H, Zeleniuch-Jacquotte A, Zheng W, Zhong J, Amundadottir L, Stolzenberg-Solomon R, Klein A. Genome-Wide Analysis to Assess if Heavy Alcohol Consumption Modifies the Association between SNPs and Pancreatic Cancer Risk. Cancer Epidemiology Biomarkers & Prevention 2024, 33: 1229-1239. PMID: 38869494, PMCID: PMC11928872, DOI: 10.1158/1055-9965.epi-24-0096.Peer-Reviewed Original ResearchConceptsPancreatic cancer riskHeavy alcohol consumptionCancer riskSingle-nucleotide polymorphismsAlcohol consumptionExpression quantitative trait lociQuantitative trait lociAssociated with pancreatic cancer riskGenome-wide interaction analysisGenome-wide significant evidenceEtiology of pancreatic cancerFixed-effect meta-analysesGenomic regionsGenome-wide significant evidence of associationLead single-nucleotide polymorphismsTrait lociGenetic variantsEuropean ancestry populationsEvidence of associationGenome-wide association studiesAnalysis of single-nucleotide polymorphismsCase-control studyPancreatic cancerGenome-wide analysisAncestry populationsHypertension and risk of endometrial cancer: a pooled analysis in the Epidemiology of Endometrial Cancer Consortium (E2C2)
Habeshian T, Peeri N, De Vivo I, Schouten L, Shu X, Cote M, Bertrand K, Chen Y, Clarke M, Clendenen T, Cook L, Costas L, Dal Maso L, Freudenheim J, Friedenreich C, Gallagher G, Gierach G, Goodman M, Jordan S, La Vecchia C, Lacey J, Levi F, Liao L, Lipworth L, Lu L, Matias-Guiu X, Moysich K, Mutter G, Na R, Naduparambil J, Negri E, O'Connell K, O'Mara T, Hernández I, Palmer J, Parazzini F, Patel A, Penney K, Prizment A, Ricceri F, Risch H, Sacerdote C, Sandin S, Stolzenberg-Solomon R, van den Brandt P, Webb P, Wentzensen N, Wijayabahu A, Wilkens L, Xu W, Yu H, Zeleniuch-Jacquotte A, Zheng W, Du M, Setiawan V. Hypertension and risk of endometrial cancer: a pooled analysis in the Epidemiology of Endometrial Cancer Consortium (E2C2). Cancer Epidemiology Biomarkers & Prevention 2024, 33: 788-795. PMID: 38530242, PMCID: PMC11145161, DOI: 10.1158/1055-9965.epi-23-1444.Peer-Reviewed Original ResearchConceptsEpidemiology of Endometrial Cancer ConsortiumRisk of endometrial cancerComponents of metabolic syndromeCancer ConsortiumRisk factorsAssociated with endometrial cancer riskIncidence rates of endometrial cancerMultivariable unconditional logistic regression modelStronger magnitude of associationEtiology of endometrial cancerStudy designUnconditional logistic regression modelsIncreased risk of endometrial cancerEndometrial cancer riskRates of endometrial cancerUsers of postmenopausal hormone therapyConfidence intervalsRising prevalence of obesityPrevalence of obesityEndometrial cancerMagnitude of associationEndometrial cancer casesMetabolic syndromeBody mass indexLogistic regression models
2023
Machine learning-based cluster analysis of immune cell subtypes and breast cancer survival
Wang Z, Katsaros D, Wang J, Biglio N, Hernandez B, Fei P, Lu L, Risch H, Yu H. Machine learning-based cluster analysis of immune cell subtypes and breast cancer survival. Scientific Reports 2023, 13: 18962. PMID: 37923775, PMCID: PMC10624674, DOI: 10.1038/s41598-023-45932-4.Peer-Reviewed Original ResearchConceptsImmune cell clustersT cellsHost immunityImmune cellsUnsupervised hierarchical clusteringImmune responseCD8-positive T cellsMemory CD4 T cellsCox regression survival analysisRegulatory T cellsPositive T cellsCD4 T cellsDifferent immune cellsDistinct immune responsesBreast cancer survivalImmune cell subtypesMemory B cellsImmune cell typesRegression survival analysisCell clustersBreast cancer progressionT cell receptor signalingCytokine stormOverall survivalFavorable survivalNight shift work, sleep duration and endometrial cancer risk: A pooled analysis from the Epidemiology of Endometrial Cancer Consortium (E2C2)
Frias-Gomez J, Alemany L, Benavente Y, Clarke M, de Francisco J, De Vivo I, Du M, Goodman M, Lacey J, Liao L, Lipworth L, Lu L, Merritt M, Michels K, O'Connell K, Paytubi S, Pelegrina B, Peremiquel-Trillas P, Petruzella S, Ponce J, Risch H, Setiawan V, Schouten L, Shu X, Trabert B, Van den Brandt P, Wentzensen N, Wilkens L, Yu H, Costas L. Night shift work, sleep duration and endometrial cancer risk: A pooled analysis from the Epidemiology of Endometrial Cancer Consortium (E2C2). Sleep Medicine Reviews 2023, 72: 101848. PMID: 37716022, PMCID: PMC10840870, DOI: 10.1016/j.smrv.2023.101848.Peer-Reviewed Original ResearchConceptsNight shift workEndometrial Cancer ConsortiumEndometrial cancer riskEndometrial cancerSleep durationShift workPostmenopausal womenPooled analysisInverse associationOdds ratioCancer riskCancer ConsortiumNon-significant inverse associationStudy-specific odds ratiosEndometrial cancer casesStrong risk factorConfidence intervalsLong sleep durationDaily sleep durationObese womenRisk factorsCancer casesLogistic regressionIndividual dataCancerGenetic variants of glucose metabolism and exposure to smoking in African American breast cancer.
Jung S, Papp J, Sobel E, Pellegrini M, Yu H. Genetic variants of glucose metabolism and exposure to smoking in African American breast cancer. Endocrine Related Cancer 2023, 30 PMID: 36705562, PMCID: PMC10095926, DOI: 10.1530/erc-22-0184.Peer-Reviewed Original ResearchConceptsInsulin resistanceBC riskLifestyle factorsSingle nucleotide polymorphismsAA womenRisk genotypesAfrican American postmenopausal womenAfrican-American breast cancerRisk of BCBreast cancer developmentDose-dependent mannerPostmenopausal womenPositive BCPredictive markerRisk factorsFemale hormonesBreast cancerGlucose metabolismMetabolic biomarkersGene-environment interaction analysisSmokingPreventive interventionsCancer developmentWhite womenIndividual single nucleotide polymorphisms
2022
Dietary omega-3 fatty acids and endometrial cancer risk in the Epidemiology of Endometrial Cancer Consortium: An individual-participant meta-analysis
Brasky T, Hade E, Cohn D, Newton A, Petruzella S, O'Connell K, Bertrand K, Cook L, De Vivo I, Du M, Freudenheim J, Friedenreich C, Goodman M, Gorzelitz J, Ibiebele T, Krogh V, Liao L, Lipworth L, Lu L, McCann S, O'Mara T, Palmer J, Ponte J, Prizment A, Risch H, Sandin S, Schouten L, Setiawan V, Shu X, Trabert B, van den Brandt P, Webb P, Wentzensen N, Wilkens L, Wolk A, Yu H, Neuhouser M. Dietary omega-3 fatty acids and endometrial cancer risk in the Epidemiology of Endometrial Cancer Consortium: An individual-participant meta-analysis. Gynecologic Oncology 2022, 169: 137-146. PMID: 36934308, PMCID: PMC10025515, DOI: 10.1016/j.ygyno.2022.10.015.Peer-Reviewed Original ResearchConceptsEndometrial cancer riskEndometrial Cancer ConsortiumHigh dietary intakeCancer riskDietary intakeObese womenOdds ratioCancer ConsortiumDietary omega-3 fatty acidsOmega-3 fatty acidsEnergy-adjusted quartilesEndometrial cancer casesEndometrial cancer incidenceProspective cohort studyFood frequency questionnaireNormal-weight womenFatty acid intakeAdjusted odds ratioBody mass indexLong-chain omega-3Anti-inflammatory propertiesSubgroup of womenConfidence intervalsCase-control studyTwo-stage individual participant data
2020
Development of a serum miRNA panel for detection of early stage non-small cell lung cancer
Ying L, Du L, Zou R, Shi L, Zhang N, Jin J, Xu C, Zhang F, Zhu C, Wu J, Chen K, Huang M, Wu Y, Zhang Y, Zheng W, Pan X, Chen B, Lin A, Tam J, van Dam R, Lai D, Chia K, Zhou L, Too H, Yu H, Mao W, Su D. Development of a serum miRNA panel for detection of early stage non-small cell lung cancer. Proceedings Of The National Academy Of Sciences Of The United States Of America 2020, 117: 25036-25042. PMID: 32943537, PMCID: PMC7547174, DOI: 10.1073/pnas.2006212117.Peer-Reviewed Original ResearchConceptsNonsmall cell lung cancerCell lung cancerMinimally invasive testArea under curveLung cancerInvasive testingEarly stage NSCLCEarly stage non-small cell lung cancerNonsmall cell lung cancer casesNonsmall cell lung cancer detectionStage non-small cell lung cancerStage nonsmall cell lung cancerSerum miRNA panelsNon-small cell lung cancerSmoking statusStage I NSCLCIndependent of smoking statusImprove patient survivalEarly detectionEarly detection of lung cancerUnmet clinical needDetection of lung cancerCase-control cohortMiRNA panelNSCLC cases
2018
A G3BP1-interacting lncRNA promotes ferroptosis and apoptosis in cancer via nuclear sequestration of p53
Mao C, Wang X, Liu Y, Wang M, Yan B, Jiang Y, Shi Y, Shen Y, Liu X, Lai W, Yang R, Xiao D, Cheng Y, Liu S, Zhou H, Cao Y, Yu W, Muegge K, Yu H, Tao Y. A G3BP1-interacting lncRNA promotes ferroptosis and apoptosis in cancer via nuclear sequestration of p53. Cancer Research 2018, 78: canres.3454.2017. PMID: 29588351, PMCID: PMC8073197, DOI: 10.1158/0008-5472.can-17-3454.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsApoptosisBreast NeoplasmsCell Cycle CheckpointsCell NucleusCytoplasmDatasets as TopicDisease ProgressionDNA HelicasesDown-RegulationFemaleGene Expression Regulation, NeoplasticGenes, Tumor SuppressorHumansKaplan-Meier EstimateLung NeoplasmsMaleMiceMice, NudeMice, SCIDPoly-ADP-Ribose Binding ProteinsProtein BindingRNA HelicasesRNA Recognition MotifRNA Recognition Motif ProteinsRNA, Long NoncodingRNA, Small InterferingSignal TransductionTumor Suppressor Protein p53Xenograft Model Antitumor AssaysConceptsTumor suppressorCancer progressionProtein-binding protein 1Long noncoding RNACell cycle arrestLncRNA functionsRas GTPaseWild-type p53Interaction domainMetabolic genesNoncoding RNAsFunctional domainsP53 modulatorsNucleotides 1P53 pathwayProtein 1Precise roleTypes of cancerLncRNAsSuppressorFerroptosisApoptosisP53ExpressionCfp1
2016
Analysis of Microarray Data on Gene Expression and Methylation to Identify Long Non-coding RNAs in Non-small Cell Lung Cancer
Feng N, Ching T, Wang Y, Liu B, Lin H, Shi O, Zhang X, Zheng M, Zheng X, Gao M, Zheng Z, Yu H, Garmire L, Qian B. Analysis of Microarray Data on Gene Expression and Methylation to Identify Long Non-coding RNAs in Non-small Cell Lung Cancer. Scientific Reports 2016, 6: 37233. PMID: 27849024, PMCID: PMC5110979, DOI: 10.1038/srep37233.Peer-Reviewed Original ResearchMeSH KeywordsA549 CellsCarcinoma, Non-Small-Cell LungCell LineCell Line, TumorCell ProliferationDisease ProgressionDNA MethylationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHEK293 CellsHumansLung NeoplasmsMaleOligonucleotide Array Sequence AnalysisRNA InterferenceRNA, Long NoncodingSurvival AnalysisConceptsDNA methylationGene expressionMicroarray dataGenome-wide expressionLong non-coding RNALong non-coding RNAsNon-coding RNANon-coding RNAsGene expression chipsNon-tumor tissuesAdditional tumor samplesCancer-related genesLOC146880Progression of NSCLCExpression chipsDifferential expressionLncRNA expressionMethylationTumor samplesLncRNAsAdjacent non-tumor tissuesTumor cellsCell proliferationRT-qPCRGenesComplement component 7 (C7), a potential tumor suppressor, is correlated with tumor progression and prognosis
Ying L, Zhang F, Pan X, Chen K, Zhang N, Jin J, Wu J, Feng J, Yu H, Jin H, Su D. Complement component 7 (C7), a potential tumor suppressor, is correlated with tumor progression and prognosis. Oncotarget 2016, 5: 86536-86546. PMID: 27852032, PMCID: PMC5349933, DOI: 10.18632/oncotarget.13294.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerComplement component 7NSCLC patientsPotential tumor suppressorOvarian cancerOvarian tissueMultivariate Cox regression analysisLow expressionZhejiang Cancer HospitalIndependent prognostic predictorCox regression analysisPrognosis of patientsAdvanced clinical stageCell lung cancerNormal ovarian tissuesExpression of C7Malignant ovarian tissuesTumor suppressorQuantitative polymerase chain reactionCancer HospitalClinical stagePrognostic predictorLung cancerPolymerase chain reactionPoor differentiation
2014
A Novel Model to Combine Clinical and Pathway-Based Transcriptomic Information for the Prognosis Prediction of Breast Cancer
Huang S, Yee C, Ching T, Yu H, Garmire L. A Novel Model to Combine Clinical and Pathway-Based Transcriptomic Information for the Prognosis Prediction of Breast Cancer. PLOS Computational Biology 2014, 10: e1003851. PMID: 25233347, PMCID: PMC4168973, DOI: 10.1371/journal.pcbi.1003851.Peer-Reviewed Original ResearchUp-regulation of microRNA-183-3p is a potent prognostic marker for lung adenocarcinoma of female non-smokers
Xu F, Zhang H, Su Y, Kong J, Yu H, Qian B. Up-regulation of microRNA-183-3p is a potent prognostic marker for lung adenocarcinoma of female non-smokers. Clinical And Translational Oncology 2014, 16: 980-985. PMID: 24805982, DOI: 10.1007/s12094-014-1183-9.Peer-Reviewed Original ResearchConceptsFemale lung adenocarcinomaLung adenocarcinomaLung tissueTianjin Medical University Cancer HospitalCorresponding normal lung tissuesCox proportional hazards modelMiR-183-3pProgression-free survivalLymph node metastasisLog-rank testNoncancerous lung tissuesPoor overall survivalLung cancer pathogenesisNormal lung tissuesLung cancer tissuesAdjacent noncancerous tissuesPotent prognostic markerPotential prognostic biomarkerProportional hazards modelT-testStudent's t-testBackgroundLung cancerOverall survivalNode metastasisClinicopathological characteristicsThe KRAS-Variant and miRNA Expression in RTOG Endometrial Cancer Clinical Trials 9708 and 9905
Lee LJ, Ratner E, Uduman M, Winter K, Boeke M, Greven KM, King S, Burke TW, Underhill K, Kim H, Boulware RJ, Yu H, Parkash V, Lu L, Gaffney D, Dicker AP, Weidhaas J. The KRAS-Variant and miRNA Expression in RTOG Endometrial Cancer Clinical Trials 9708 and 9905. PLOS ONE 2014, 9: e94167. PMID: 24732316, PMCID: PMC3986055, DOI: 10.1371/journal.pone.0094167.Peer-Reviewed Original ResearchConceptsEndometrial cancer riskType 2 endometrial cancerEndometrial cancerKRAS-variantCancer riskLymphovascular invasionSurvival outcomesTumor biologyType 1 endometrial cancerEndometrial cancer trialsOverall survival rateMiRNA expressionAge-matched controlsCase-control analysisFunctional germline variantsClinical characteristicsPatient ageTumor characteristicsCancer trialsTumor specimensSurvival rateType 1Germline variantsMiRNA expression levelsCancer
2013
Circulating MicroRNAs in Relation to EGFR Status and Survival of Lung Adenocarcinoma in Female Non-Smokers
Zhang H, Su Y, Xu F, Kong J, Yu H, Qian B. Circulating MicroRNAs in Relation to EGFR Status and Survival of Lung Adenocarcinoma in Female Non-Smokers. PLOS ONE 2013, 8: e81408. PMID: 24282590, PMCID: PMC3839880, DOI: 10.1371/journal.pone.0081408.Peer-Reviewed Original ResearchConceptsLung adenocarcinomaOverall survivalFemale patientsMiR-195MiR-122Survival outcomesPlasma levelsEGFR statusNon-smoking female patientsCox proportional hazards regressionKaplan-Meier survival analysisEGFR-mutant patientsProportional hazards regressionAdvanced disease stageEGFR mutation statusTime-dependent receiverMiR-122 expressionReal-time RT-PCRHazards regressionPoor prognosisPrognostic valueDisease stageNon smokersMutant patientsEGFR mutationsElucidating the Landscape of Aberrant DNA Methylation in Hepatocellular Carcinoma
Song M, Tiirikainen M, Kwee S, Okimoto G, Yu H, Wong L. Elucidating the Landscape of Aberrant DNA Methylation in Hepatocellular Carcinoma. PLOS ONE 2013, 8: e55761. PMID: 23437062, PMCID: PMC3577824, DOI: 10.1371/journal.pone.0055761.Peer-Reviewed Original ResearchConceptsDifferentially Methylated RegionsPromoter CpG islandsCpG islandsDNA methylationDifferential methylationMethylation changesGenome-wide methylation profilingDM locusGenome-wide levelDifferential methylation patternsAberrant DNA methylationPotential biological functionsSignificant differential methylationGene bodiesIllumina HumanMethylation450 BeadChipGenomic regionsIntergenic regionMethylated regionsMethylation patternsCellular developmentEpigenetic changesGene promoterGene listsMethylation profilingBiological functions
2012
PDCD6 is an independent predictor of progression free survival in epithelial ovarian cancer
Su D, Xu H, Feng J, Gao Y, Gu L, Ying L, Katsaros D, Yu H, Xu S, Qi M. PDCD6 is an independent predictor of progression free survival in epithelial ovarian cancer. Journal Of Translational Medicine 2012, 10: 31. PMID: 22369209, PMCID: PMC3305474, DOI: 10.1186/1479-5876-10-31.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overApoptosisApoptosis Regulatory ProteinsBlotting, WesternCalcium-Binding ProteinsCarcinoma, Ovarian EpithelialCell CycleCell Line, TumorCell ProliferationDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticGene Knockdown TechniquesGene SilencingGenetic VectorsHumansKaplan-Meier EstimateLentivirusMiddle AgedNeoplasm InvasivenessNeoplasm MetastasisNeoplasms, Glandular and EpithelialOvarian NeoplasmsRNA, MessengerRNA, Small InterferingStatistics, NonparametricTransfectionConceptsEpithelial ovarian cancerProgression-free survivalOvarian cancer progressionOvarian cancer cellsOvarian cancerFree survivalOverall survivalIndependent predictorsKaplan-Meier survival analysisEpithelial ovarian cancer tissuesMetastatic ovarian cancer cellsCancer progressionPDCD6 expressionResidual tumor sizeClinical pathological factorsEpithelial ovarian cancer correlatesCancer cellsOvarian cancer correlatesOvarian cancer tissuesHistologic typeClinical progressionTumor sizeDisease stageTumor gradeCancer correlates
2011
Genotypes and phenotypes of IGF-I and IGFBP-3 in breast tumors among Chinese women
Qian B, Zheng H, Yu H, Chen K. Genotypes and phenotypes of IGF-I and IGFBP-3 in breast tumors among Chinese women. Breast Cancer Research And Treatment 2011, 130: 217. PMID: 21562710, DOI: 10.1007/s10549-011-1552-9.Peer-Reviewed Original ResearchConceptsBreast cancer riskIGFBP-3 genotypesIGFBP-3 single nucleotide polymorphismsCancer riskChinese womenIGFBP-3Single nucleotide polymorphismsBreast cancerBreast tumorsTumor samplesLocal breast tissuesBreast cancer patientsIGF-I activityER-negative tumorsUnconditional logistic regressionCase-control studyFresh tumor samplesAge-matched controlsWilcoxon rank sum testRank sum testHigher peptide levelsIGFBP-3 geneIGF-I geneNegative tumorsCancer patientsRelationship of folate, vitamin B12 and methylation of insulin-like growth factor-II in maternal and cord blood
Ba Y, Yu H, Liu F, Geng X, Zhu C, Zhu Q, Zheng T, Ma S, Wang G, Li Z, Zhang Y. Relationship of folate, vitamin B12 and methylation of insulin-like growth factor-II in maternal and cord blood. European Journal Of Clinical Nutrition 2011, 65: 480-485. PMID: 21245875, PMCID: PMC3071883, DOI: 10.1038/ejcn.2010.294.Peer-Reviewed Original ResearchConceptsCord bloodMaternal bloodVitamin B12Serum levelsMother's bloodWeight gainMother's weight gainRelationship of folateInsulin-like growth factor IISerum folate levelsCross-sectional studyFetal origins hypothesisLevels of folateGrowth factor IIMultivariate linear regression modelPassive smokingInsulin-like growth factor 2 geneBreast cancerFolate levelsIGF2 P3Growth factor 2 geneFactor 2 genePercentage of methylationFactor IIBlood
2010
Association of genetic polymorphisms in DNA repair pathway genes with non-small cell lung cancer risk
Qian B, Zhang H, Zhang L, Zhou X, Yu H, Chen K. Association of genetic polymorphisms in DNA repair pathway genes with non-small cell lung cancer risk. Lung Cancer 2010, 73: 138-146. PMID: 21195504, DOI: 10.1016/j.lungcan.2010.11.018.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungDNA RepairDNA Repair EnzymesDNA-Binding ProteinsFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHumansLung NeoplasmsMaleMiddle AgedPolymorphism, GeneticRisk FactorsSmokingXeroderma Pigmentosum Group A ProteinXeroderma Pigmentosum Group D ProteinYoung AdultConceptsNon-small cell lung cancerLung cancer riskSquamous cell carcinomaLung cancerCancer riskCell carcinomaSingle nucleotide polymorphismsHigh riskGenetic polymorphismsNon-small cell lung cancer riskRisk of NSCLCCell lung cancer riskHigher lung cancer riskCell lung cancerVariant AA genotypeDominant risk factorNumerous epidemiological studiesLogistic regression modelsDNA repair pathway genesYoung smokersNSCLC casesSubgroup analysisRisk factorsHealthy controlsStratified analysis
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