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 survivalElucidating the role of blood metabolites on pancreatic cancer risk using two‐sample Mendelian randomization analysis
Zhong H, Liu S, Zhu J, Xu T, Yu H, Wu L. Elucidating the role of blood metabolites on pancreatic cancer risk using two‐sample Mendelian randomization analysis. International Journal Of Cancer 2023, 154: 852-862. PMID: 37860916, PMCID: PMC10843029, DOI: 10.1002/ijc.34771.Peer-Reviewed Original ResearchConceptsPancreatic ductal adenocarcinomaPDAC riskBlood metabolitesGenetic instrumentsTwo-sample Mendelian randomization studyPancreatic Cancer Case-Control ConsortiumEPIC-Norfolk cohortPancreatic cancer riskEuropean ancestryPancreatic Cancer Cohort ConsortiumPotential side effectsCanadian Longitudinal StudyAssociations of metabolitesMendelian randomization studyTwo-sample Mendelian randomization (MR) analysisGenome-wide association studiesMendelian randomization analysisFatal malignancyDuctal adenocarcinomaCancer riskPDAC casesSide effectsAging CohortMetabolite biomarkersRandomization studyNight 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 dataCancerIdentification of blood protein biomarkers associated with prostate cancer risk using genetic prediction models: analysis of over 140,000 subjects
Zhong H, Zhu J, Liu S, Ghoneim D, Surendran P, Liu T, Fahle S, Butterworth A, Alam A, Deng H, Yu H, Wu C, Wu L. Identification of blood protein biomarkers associated with prostate cancer risk using genetic prediction models: analysis of over 140,000 subjects. Human Molecular Genetics 2023, 32: 3181-3193. PMID: 37622920, PMCID: PMC10630250, DOI: 10.1093/hmg/ddad139.Peer-Reviewed Original ResearchConceptsPCa riskProstate cancerHuge public health burdenEtiology of PCaBlood protein biomarkersConventional epidemiologic studiesProstate cancer riskPublic health burdenConventional observational studiesCancer Genome AtlasPCa patientsHealth burdenProtein biomarker candidatesObservational studyEpidemiologic studiesCancer riskTherapeutic strategiesCancer-related pathwaysSignificant associationBiomarker candidatesGenome AtlasProtein levelsDrug repurposingRiskPositive associationGenetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization.
King S, Veliginti S, Brouwers M, Ren Z, Zheng W, Setiawan V, Wilkens L, Shu X, Arslan A, Beane Freeman L, Bracci P, Canzian F, Du M, Gallinger S, Giles G, Goodman P, Haiman C, Kogevinas M, Kooperberg C, LeMarchand L, Neale R, Visvanathan K, White E, Albanes D, Andreotti G, Babic A, Berndt S, Brais L, Brennan P, Buring J, Rabe K, Bamlet W, Chanock S, Fuchs C, Gaziano J, Giovannucci E, Hackert T, Hassan M, Katzke V, Kurtz R, Lee I, Malats N, Murphy N, Oberg A, Orlow I, Porta M, Real F, Rothman N, Sesso H, Silverman D, Thompson I, Wactawski-Wende J, Wang X, Wentzensen N, Yu H, Zeleniuch-Jacquotte A, Yu K, Wolpin B, Duell E, Li D, Hung R, Perdomo S, McCullough M, Freedman N, Patel A, Peters U, Riboli E, Sund M, Tjønneland A, Zhong J, Van Den Eeden S, Kraft P, Risch H, Amundadottir L, Klein A, Stolzenberg-Solomon R, Antwi S. Genetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization. Cancer Epidemiology Biomarkers & Prevention 2023, 32: 1265-1269. PMID: 37351909, PMCID: PMC10529823, DOI: 10.1158/1055-9965.epi-23-0453.Peer-Reviewed Original ResearchConceptsNonalcoholic fatty liver diseasePancreatic cancer riskFatty liver diseasePancreatic cancerCancer riskLiver diseaseGenetic predispositionMendelian randomizationPancreatic Cancer Case-Control ConsortiumConfidence intervalsPancreatic Cancer Cohort ConsortiumPC risk factorsMR methodsRisk factorsGenome-wide association studiesGenetic susceptibilityLogistic regressionCancerMetabolic perturbationsMetabolic conditionsRiskDiseaseGenetic variantsAssociationPredispositionAssociation between use of antihypertensive drugs and the risk of cancer: a population-based cohort study in Shanghai
Wang S, Xie L, Zhuang J, Qian Y, Zhang G, Quan X, Li L, Yu H, Zhang W, Zhao W, Qian B. Association between use of antihypertensive drugs and the risk of cancer: a population-based cohort study in Shanghai. BMC Cancer 2023, 23: 425. PMID: 37165412, PMCID: PMC10173582, DOI: 10.1186/s12885-023-10849-8.Peer-Reviewed Original ResearchConceptsPopulation-based cohort studyTotal cancerAntihypertensive drugsHypertensive patientsCohort studyAntihypertensive medicinesThyroid cancerHigh riskPossible dose-response relationshipAntihypertensive drug administrationCommon antihypertensive drugsRisk of cancerCommunity healthcare centersDose-response relationshipMajor cancer typesAntihypertensive classesCancer casesMAIN OUTCOMECancer riskHealthcare centersDrug AdministrationPatientsSignificant associationCancerCancer typesMulti-omics profiling of papillary thyroid microcarcinoma reveals different somatic mutations and a unique transcriptomic signature
Li Q, Feng T, Zhu T, Zhang W, Qian Y, Zhang H, Zheng X, Li D, Yun X, Zhao J, Li Y, Yu H, Gao M, Qian B. Multi-omics profiling of papillary thyroid microcarcinoma reveals different somatic mutations and a unique transcriptomic signature. Journal Of Translational Medicine 2023, 21: 206. PMID: 36941725, PMCID: PMC10026500, DOI: 10.1186/s12967-023-04045-2.Peer-Reviewed Original ResearchConceptsTCGA patientsPositive thyroglobulin antibodiesPapillary thyroid microcarcinomaNew therapeutic hypothesesUnique transcriptomic signaturesImmune-related genesWhole-exome sequencingImmune interventionPeroxidase antibodiesThyroglobulin antibodiesEtiology of cancerRET fusionsThyroid microcarcinomaTCGA cohortBRAF mutationsPatientsDifferent somatic mutationsMulti-omics profilingLarger studyConclusionsOur findingsResultsIn additionExome sequencingTherapeutic hypothesesTranscriptomic signaturesMolecular landscapeGenetic 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 polymorphismsAssociation of SNPs in the PAI1 Gene with Disease Recurrence and Clinical Outcome in Bladder Cancer
Murakami K, Furuya H, Hokutan K, Goodison S, Pagano I, Chen R, Shen C, Chan M, Ng C, Kobayashi T, Ogawa O, Miyake M, Thornquist M, Shimizu Y, Hayashi K, Wang Z, Yu H, Rosser C. Association of SNPs in the PAI1 Gene with Disease Recurrence and Clinical Outcome in Bladder Cancer. International Journal Of Molecular Sciences 2023, 24: 4943. PMID: 36902377, PMCID: PMC10003630, DOI: 10.3390/ijms24054943.Peer-Reviewed Original ResearchConceptsPlasminogen activator inhibitor-1Bladder cancerSingle nucleotide polymorphismsMutational statusWorse recurrence-free survivalUntranslated region (UTR) single nucleotide polymorphismRecurrence-free survivalBladder cancer developmentHuman bladder tumorsAssociation of SNPsCommon cancer typesActivator inhibitor-1Anti-apoptotic effectsOverall survivalDisease recurrenceClinical outcomesOverall incidenceBladder tumorsCaucasian patientsIndependent cohortCancer typesCancer developmentCancerInhibitor-1Cellular proliferation
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 datad-Limonene inhibits the occurrence and progression of LUAD through suppressing lipid droplet accumulation induced by PM2.5 exposure in vivo and in vitro
Zhu T, Li Y, Feng T, Yang Y, Zhang K, Gao J, Quan X, Qian Y, Yu H, Qian B. d-Limonene inhibits the occurrence and progression of LUAD through suppressing lipid droplet accumulation induced by PM2.5 exposure in vivo and in vitro. Respiratory Research 2022, 23: 338. PMID: 36496421, PMCID: PMC9741803, DOI: 10.1186/s12931-022-02270-9.Peer-Reviewed Original ResearchConceptsLipid droplet accumulationHuman intervention trialsLung cancer patientsLung adenocarcinomaPM2.5 exposureProgression of LUADDroplet accumulationPulmonary fibrosisIntervention trialsCancer patientsMiR-195Trichrome stainingChinese Clinical Trial RegistrySerum miR-195Clinical Trials RegistryLipid metabolism disordersNormal lung epithelial cellsPotential preventive interventionsNormal lung tissuesDe novo lipogenesis pathwayMasson's trichrome stainingDevelopment of LUADOil red stainingLung epithelial cellsPotential intervention targets
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 characteristics
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