2021
Interplay between RNA Methylation Eraser FTO and Writer METTL3 in Renal Clear Cell Carcinoma Patient Survival
Zhao J, Lu L. Interplay between RNA Methylation Eraser FTO and Writer METTL3 in Renal Clear Cell Carcinoma Patient Survival. Recent Patents On Anti-Cancer Drug Discovery 2021, 16: 363-376. PMID: 33563180, DOI: 10.2174/1574892816666210204125155.Peer-Reviewed Original ResearchConceptsMETTL3 mRNASurvival analysisFTO mRNAKaplan-Meier survival curvesAdjusted hazard ratioMultivariate Cox regressionRenal clear cell carcinomaClear cell carcinomaInflammation-related genesPotential prognostic markerM6A methyltransferase METTL3Upregulation of FTOHazard ratioCox regressionPatient survivalPrognostic valueCell carcinomaPrognostic markerSuperior survivalImmune responseMETTL3 expressionDifferential expressionClinical relevanceLower DNA methylationSurvival curves
2020
Gene Alterations of N6‐Methyladenosine (m6A) Regulators in Colorectal Cancer: A TCGA Database Study
Zhang Q, Cai Y, Kurbatov V, Khan SA, Lu L, Zhang Y, Johnson CH. Gene Alterations of N6‐Methyladenosine (m6A) Regulators in Colorectal Cancer: A TCGA Database Study. BioMed Research International 2020, 2020: 8826456. PMID: 33415160, PMCID: PMC7769650, DOI: 10.1155/2020/8826456.Peer-Reviewed Original ResearchMeSH KeywordsAdenosineAgedAlpha-Ketoglutarate-Dependent Dioxygenase FTOColorectal NeoplasmsDatabases, GeneticDisease-Free SurvivalDNA Copy Number VariationsFemaleGene Expression Regulation, NeoplasticGenes, NeoplasmHumansMaleMultivariate AnalysisMutationNerve Tissue ProteinsPrognosisProportional Hazards ModelsRNA Splicing FactorsRNA, MessengerConceptsDisease-free survivalImmune cell infiltrationM6A regulatorsCRC patientsCRC casesCell infiltrationMRNA expressionWorse overall survivalN6-methyladenosine regulatorsMicrosatellite instability statusMessenger RNA expressionCancer Genome AtlasOverall survivalColorectal cancerCRC tissuesDatabase studyImmune functionInstability statusColon tissuesRole of m6AGene alterationsRNA expressionCRCGenome AtlasGenetic mutationsSyndecan-1 and KRAS Gene Expression Signature Associates With Patient Survival in Pancreatic Cancer.
Wu Y, Huang H, Fervers B, Lu L. Syndecan-1 and KRAS Gene Expression Signature Associates With Patient Survival in Pancreatic Cancer. Pancreas 2020, 49: 1187-1194. PMID: 32898003, DOI: 10.1097/mpa.0000000000001654.Peer-Reviewed Original ResearchConceptsSyndecan-1Patient survivalPancreatic cancerAdjusted hazard ratioPancreatic cancer patientsKRAS somatic mutationsSDC1 mRNASomatic mutationsHazard ratioCancer patientsClinical dataSurvival analysisKRASPatientsKyoto EncyclopediaKRAS mRNAElevated mortalityGenomes (KEGG) pathway analysisCancerPathway analysisLower methylationMolecular characteristicsSurvivalMRNANegative correlation
2019
Transfer RNA methyltransferase gene NSUN2 mRNA expression modifies the effect of T cell activation score on patient survival in head and neck squamous carcinoma
Lu L, Gaffney SG, Cannataro VL, Townsend J. Transfer RNA methyltransferase gene NSUN2 mRNA expression modifies the effect of T cell activation score on patient survival in head and neck squamous carcinoma. Oral Oncology 2019, 101: 104554. PMID: 31887619, PMCID: PMC7273869, DOI: 10.1016/j.oraloncology.2019.104554.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBiomarkersFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateLymphocyte ActivationMaleMethyltransferasesMiddle AgedNeoplasm GradingNeoplasm StagingPrognosisProportional Hazards ModelsSquamous Cell Carcinoma of Head and NeckT-LymphocytesYoung AdultConceptsT cell activation scoreT cell activation statusAdjusted hazard ratioPatient survivalHPV statusHazard ratioActivation statusActivation scoresKaplan-Meier survival curvesImmune checkpoint blockadeCox regression modelNeck squamous carcinomaPotential therapeutic targetT cell activationHNSCC patientsSquamous carcinomaPatient mortalityLonger survivalExhaustion groupsTherapeutic targetSurvival curvesSignificant associationMRNA expressionPatientsSurvival
2018
High tRNA Transferase NSUN2 Gene Expression is Associated with Poor Prognosis in Head and Neck Squamous Carcinoma
Lu L, Zhu G, Zeng H, Xu Q, Holzmann K. High tRNA Transferase NSUN2 Gene Expression is Associated with Poor Prognosis in Head and Neck Squamous Carcinoma. Cancer Investigation 2018, 36: 246-253. PMID: 29775108, DOI: 10.1080/07357907.2018.1466896.Peer-Reviewed Original ResearchConceptsPotential independent prognostic markerShorter overall survivalIndependent prognostic markerHigher mortality riskNeck squamous carcinomaPotential therapeutic targetRandom-effects modelOverall survivalSquamous carcinomaPoor prognosisPrognostic valuePrognostic markerMortality riskTherapeutic targetHNSCCNormal tissuesCell developmentExpressionGene expressionRNA methylationPatientsCarcinomaPrognosisNSUN2Important role
2016
Long non-coding RNAs, ASAP1-IT1, FAM215A, and LINC00472, in epithelial ovarian cancer
Fu Y, Biglia N, Wang Z, Shen Y, Risch HA, Lu L, Canuto EM, Jia W, Katsaros D, Yu H. Long non-coding RNAs, ASAP1-IT1, FAM215A, and LINC00472, in epithelial ovarian cancer. Gynecologic Oncology 2016, 143: 642-649. PMID: 27667152, PMCID: PMC5507336, DOI: 10.1016/j.ygyno.2016.09.021.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAdenocarcinoma, Clear CellAdultAgedAged, 80 and overCarcinoma, EndometrioidCarcinoma, Ovarian EpithelialHumansMiddle AgedNeoplasm GradingNeoplasm StagingNeoplasms, Cystic, Mucinous, and SerousNeoplasms, Glandular and EpithelialOvarian NeoplasmsPrognosisProportional Hazards ModelsReverse Transcriptase Polymerase Chain ReactionRNA, Long NoncodingYoung AdultConceptsEpithelial ovarian cancerOvarian cancerStage diseasePatient survivalGrade tumorsASAP1-IT1Survival associationsLong non-coding RNAsCox proportional hazards regression modelPrimary epithelial ovarian cancerProportional hazards regression modelsTumor samplesFresh frozen tumor samplesHigh expressionEarly-stage diseaseFavorable overall survivalLate-stage diseaseHazards regression modelsLow-grade tumorsHigh-grade tumorsOvarian cancer progressionNon-coding RNAsImportant biological actionsOverall survivalPoor prognosisEpithelial splicing regulatory protein 1 and 2 paralogues correlate with splice signatures and favorable outcome in human colorectal cancer
Deloria AJ, Höflmayer D, Kienzl P, Łopatecka J, Sampl S, Klimpfinger M, Braunschmid T, Bastian F, Lu L, Marian B, Stättner S, Holzmann K. Epithelial splicing regulatory protein 1 and 2 paralogues correlate with splice signatures and favorable outcome in human colorectal cancer. Oncotarget 2016, 5: 73800-73816. PMID: 27650542, PMCID: PMC5342015, DOI: 10.18632/oncotarget.12070.Peer-Reviewed Original ResearchConceptsColorectal cancerEpithelial-mesenchymal transitionPrognostic valueNon-neoplastic colorectal epitheliumPrognosis of CRCFavorable overall survivalHuman colorectal cancerRole of ESRP1Overall survivalCRC casesPathological stageCRC cellsPrognostic stratificationFavorable outcomeTumor stagingClinical dataTCGA cohortColorectal epitheliumTumor progressionMicrosatellite instabilityMicrosatellite stabilityTumor cellsEarly detectionProtein 1Tissue expressionLIN-28B/let-7a/IGF-II axis molecular subtypes are associated with epithelial ovarian cancer prognosis
Lu L, Katsaros D, Canuto EM, Biglia N, Risch HA, Yu H. LIN-28B/let-7a/IGF-II axis molecular subtypes are associated with epithelial ovarian cancer prognosis. Gynecologic Oncology 2016, 141: 121-127. PMID: 26751131, DOI: 10.1016/j.ygyno.2015.12.035.Peer-Reviewed Original ResearchConceptsEpithelial ovarian cancer prognosisOvarian cancer prognosisMolecular subtypesCancer prognosisSurvival analysisMultivariate Cox regression modelKaplan-Meier survival curvesEpithelial ovarian cancer tissuesCox regression modelEpithelial ovarian cancerReduced relapse riskOvarian cancer tissuesIGF-II mRNAQuantitative reverse transcription PCRRelapse riskReverse transcription-PCROvarian cancerBetter survivalCancer tissuesLin-28BSurvival curvesClinical implicationsIGFPrognosisSubtypes
2012
Association of large noncoding RNA HOTAIR expression and its downstream intergenic CpG island methylation with survival in breast cancer
Lu L, Zhu G, Zhang C, Deng Q, Katsaros D, Mayne ST, Risch HA, Mu L, Canuto EM, Gregori G, Benedetto C, Yu H. Association of large noncoding RNA HOTAIR expression and its downstream intergenic CpG island methylation with survival in breast cancer. Breast Cancer Research And Treatment 2012, 136: 875-883. PMID: 23124417, DOI: 10.1007/s10549-012-2314-z.Peer-Reviewed Original ResearchConceptsPrimary breast cancerBreast cancerHOTAIR expressionPathologic featuresCox proportional hazards regression modelProportional hazards regression modelsLow HOTAIR expressionUnfavorable disease characteristicsHazards regression modelsIndependent prognostic markerHigh HOTAIR expressionBreast cancer progressionQuantitative RT-PCRPatient survivalDisease characteristicsMethylation-specific PCRPrognostic markerLower riskSignificant associationRNA HOTAIRCancerCancer progressionBiologic relevanceRT-PCRDNA methylation
2011
Genetic Effects and Modifiers of Radiotherapy and Chemotherapy on Survival in Pancreatic Cancer
Zeng H, Yu H, Lu L, Jain D, Kidd MS, Saif MW, Chanock SJ, Hartge P, Risch H. Genetic Effects and Modifiers of Radiotherapy and Chemotherapy on Survival in Pancreatic Cancer. Pancreas 2011, 40: 657-663. PMID: 21487324, PMCID: PMC3116071, DOI: 10.1097/mpa.0b013e31821268d1.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overATP Binding Cassette Transporter, Subfamily G, Member 2ATP-Binding Cassette TransportersCase-Control StudiesConnecticutDihydrouracil Dehydrogenase (NADP)FemaleGenetic MarkersGenetic VariationGenome-Wide Association StudyHumansMaleMiddle AgedNeoplasm ProteinsPancreatic NeoplasmsPolymorphism, Single NucleotidePrognosisProportional Hazards ModelsSerpinsSurvival AnalysisTreatment OutcomeConceptsPancreatic cancerOverall survivalCancer survivalProportional hazards regression modelsSurvival of patientsPopulation-based studyPancreatic cancer survivalHazards regression modelsGerm-line genetic variationEvidence of associationClinical outcomesCancer patientsTreatment outcomesTreatment responseSignificant associationPatientsCancerPrevious genome-wide association study dataRadiotherapyPutative markerGenetic polymorphismsSurvivalDPYD geneChemotherapyEvidence of interaction
2008
High miR-21 expression in breast cancer associated with poor disease-free survival in early stage disease and high TGF-β1
Qian B, Katsaros D, Lu L, Preti M, Durando A, Arisio R, Mu L, Yu H. High miR-21 expression in breast cancer associated with poor disease-free survival in early stage disease and high TGF-β1. Breast Cancer Research And Treatment 2008, 117: 131-140. PMID: 18932017, DOI: 10.1007/s10549-008-0219-7.Peer-Reviewed Original ResearchConceptsMiR-21 expressionPoor disease-free survivalHigh miR-21 expressionDisease-free survivalHormone receptor statusHigh miR-21Breast cancerMiR-21Tumor samplesReceptor statusTumor gradeTGF-β1Elevated miR-21 expressionNegative hormone receptor statusProportional hazards regression analysisHigher TGF-β1Lymph node involvementEarly-stage diseaseEarly-stage patientsPrimary breast cancerHazards regression analysisHigh tumor gradeFresh tumor samplesTumor cell growthNode involvementPeptide concentrations and mRNA expression of IGF-I, IGF-II and IGFBP-3 in breast cancer and their associations with disease characteristics
Mu L, Katsaros D, Wiley A, Lu L, de la Longrais IA, Smith S, Khubchandani S, Sochirca O, Arisio R, Yu H. Peptide concentrations and mRNA expression of IGF-I, IGF-II and IGFBP-3 in breast cancer and their associations with disease characteristics. Breast Cancer Research And Treatment 2008, 115: 151. PMID: 18481170, DOI: 10.1007/s10549-008-0046-x.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBreast NeoplasmsFemaleGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseHumansInsulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor IInsulin-Like Growth Factor IIMiddle AgedPeptidesPrognosisProportional Hazards ModelsRecurrenceRNA, MessengerConceptsIGFBP-3IGFBP-3 proteinIGF-IIBreast cancerMRNA expressionTissue levelsHigher mRNA expressionHigh IGFBP-3 expressionProportional hazards regression modelsEarly TNM stageIGFBP-3 expressionHazards regression modelsRisk of relapseIGF-II peptideFresh tumor samplesIGF mRNA expressionIGF-II expressionIGF-I transcriptsReal-time RT-PCRDisease recurrenceFavorable prognosisPeptide concentrationPatient survivalDisease characteristicsTNM stage