2024
Charting the metabolic biogeography of the colorectum in cancer: challenging the right sided versus left sided classification
Jain A, Morris M, Berardi D, Arora T, Domingo-Almenara X, Paty P, Rattray N, Kerekes D, Lu L, Khan S, Johnson C. Charting the metabolic biogeography of the colorectum in cancer: challenging the right sided versus left sided classification. Molecular Cancer 2024, 23: 211. PMID: 39342363, PMCID: PMC11438248, DOI: 10.1186/s12943-024-02133-5.Peer-Reviewed Original ResearchConceptsRectal cancerNormal mucosaMetabolite abundancePatient-matched tumorTumor-specific metabolitesMetabolic heterogeneityPatient survivalRectosigmoid colonSigmoid colonAnatomic subsitePatient-matched normal mucosaTransverse colonMetabolomic profilesAscending colonCRC biomarkersMetabolome DatabaseDescending colonMetabolite changesLeft-sidedRight-sidedColorectumRisk factorsMetabolome mapCancerTumor
2023
Dynamic changes of circulating soluble PD-1/PD-L1 and its association with patient survival in immune checkpoint blockade-treated melanoma
Lu L, Risch E, Halaban R, Zhen P, Bacchiocchi A, Risch H. Dynamic changes of circulating soluble PD-1/PD-L1 and its association with patient survival in immune checkpoint blockade-treated melanoma. International Immunopharmacology 2023, 118: 110092. PMID: 37004344, DOI: 10.1016/j.intimp.2023.110092.Peer-Reviewed Original ResearchConceptsImmune checkpoint blockadeSoluble PD-L1 (sPD-L1) levelsPD-L1 ratioPD-L1 levelsSoluble PD-1Soluble PD-L1PD-L1PD-1Patient survivalSurvival statusPD-1/PD-L1Immune checkpoints PD-1T cell exhaustionPatients' survival statusSolid tumor typesInitial immunotherapyCheckpoint blockadeMelanoma patientsPoor prognosisRetrospective studyPatient responseCell exhaustionTumor typesMelanomaSurvivalIn silico designed mRNA vaccines targeting CA-125 neoantigen in breast and ovarian cancer
Lu L, Ma W, Johnson C, Khan S, Irwin M, Pusztai L. In silico designed mRNA vaccines targeting CA-125 neoantigen in breast and ovarian cancer. Vaccine 2023, 41: 2073-2083. PMID: 36813666, PMCID: PMC10064809, DOI: 10.1016/j.vaccine.2023.02.048.Peer-Reviewed Original ResearchConceptsMRNA vaccinesOvarian cancerT cell responsesMutation-derived neoantigensT cell epitopesSARS-CoV-2Multiple neoantigensCytotoxic CD8Dendritic cellsCA 125Cancer vaccinesPatient survivalImmune responseCell epitopesNeoepitope peptidesNeoantigensVaccineCell responsesCancerBreastReverse vaccinologyCD8CD40LIFNNeoepitopes
2021
Impact of Neoantigen Expression and T-Cell Activation on Breast Cancer Survival
Li W, Amei A, Bui F, Norouzifar S, Lu L, Wang Z. Impact of Neoantigen Expression and T-Cell Activation on Breast Cancer Survival. Cancers 2021, 13: 2879. PMID: 34207556, PMCID: PMC8228363, DOI: 10.3390/cancers13122879.Peer-Reviewed Original ResearchT cell activationNeoantigen expressionChi-squared testOverall survivalBreast cancerMultivariable Cox proportional hazards modelsMultivariable Cox regression modelsCox proportional hazards modelImproved overall survivalT-cell statusT cell exhaustionBreast cancer patientsKaplan-Meier survivalBreast cancer survivalCox regression modelClinical-pathological variablesReceptor-positive subgroupCancer immunotherapy efficacyProportional hazards modelPearson's chi-squared testTumor-specific somatic mutationsSpearman correlation analysisImmunotherapy efficacyPathological variablesPatient survivalIntratumour microbiome associated with the infiltration of cytotoxic CD8+ T cells and patient survival in cutaneous melanoma
Zhu G, Su H, Johnson CH, Khan SA, Kluger H, Lu L. Intratumour microbiome associated with the infiltration of cytotoxic CD8+ T cells and patient survival in cutaneous melanoma. European Journal Of Cancer 2021, 151: 25-34. PMID: 33962358, PMCID: PMC8184628, DOI: 10.1016/j.ejca.2021.03.053.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overBacteriaBacterial LoadBacterial TranslocationChemokinesClostridialesCytotoxicity, ImmunologicFemaleGastrointestinal MicrobiomeHumansLymphocyte CountLymphocytes, Tumor-InfiltratingMaleMelanomaMiddle AgedPrognosisSkin NeoplasmsT-Lymphocytes, CytotoxicTumor MicroenvironmentYoung AdultConceptsT cellsCutaneous melanomaPatient survivalGut microbiomeAdjusted hazard ratioT cell infiltrationChemokine gene expressionChemokine levelsCytotoxic CD8Hazard ratioSystemic inflammationShorter survivalCCL5 expressionPatient outcomesCD8Immune responseMortality riskGut microbiotaSurvival analysisMelanomaTumor nicheHuman cancersSurvivalSignificant correlationPositive associationInterplay 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
Regulation and characterization of tumor-infiltrating immune cells in breast cancer
Dai Q, Wu W, Amei A, Yan X, Lu L, Wang Z. Regulation and characterization of tumor-infiltrating immune cells in breast cancer. International Immunopharmacology 2020, 90: 107167. PMID: 33223469, PMCID: PMC7855363, DOI: 10.1016/j.intimp.2020.107167.Peer-Reviewed Original ResearchConceptsTumor-infiltrating immune cellsT cell activation statusImmune cellsCell activation statusT cell activationPatient survivalM2 macrophagesT cellsBreast cancerCell activationT cell peripheral toleranceTumor-infiltrating B cellsMultivariate Cox regression modelActivation statusBreast cancer patient survivalEffector T cellsT cell subsetsBreast cancer patientsImmune cell infiltrationAbundant plasma cellsCox regression modelKaplan-Meier survivalImmune cell typesMolecular pathwaysCancer patient survivalSyndecan-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 correlationInterplay of tRNA-Derived Fragments and T Cell Activation in Breast Cancer Patient Survival
Shan N, Li N, Dai Q, Hou L, Yan X, Amei A, Lu L, Wang Z. Interplay of tRNA-Derived Fragments and T Cell Activation in Breast Cancer Patient Survival. Cancers 2020, 12: 2230. PMID: 32785169, PMCID: PMC7466003, DOI: 10.3390/cancers12082230.Peer-Reviewed Original ResearchT cell activationBreast cancer patient survivalCancer patient survivalOverall survivalCell activationBreast cancerExpression of tRFsImproved survivalPatient survivalMultivariate Cox regression modelBreast cancer patientsCox regression modelKaplan-Meier survivalSpearman correlation analysisEffector CD8Cytotoxic functionCancer patientsExhaustion groupsTherapeutic targetCancer progressionCancerSurvivalGene co-expression network analysisActivation groupTRNA-derived fragmentsMicroRNA‑34a expression affects breast cancer invasion in vitro and patient survival via downregulation of E2F1 and E2F3 expression.
Han R, Zhao J, Lu L. MicroRNA‑34a expression affects breast cancer invasion in vitro and patient survival via downregulation of E2F1 and E2F3 expression. Oncology Reports 2020, 43: 2062-2072. PMID: 32186770, DOI: 10.3892/or.2020.7549.Peer-Reviewed Original ResearchConceptsBreast cancerNormal breast tissueMDA-MB-231 cellsPatient survivalT-47DKaplan-Meier survival curvesBreast tissueCancer-associated mortalityLonger survival timeCommon cancer typesExpression levelsReverse transcription-quantitative PCRPotential therapeutic toolBreast cancer invasionMicroRNA-34a expressionTranscription-quantitative PCRTumor cell proliferationOverall survivalUnderlying molecular mechanismsCaspase-3 activityDownregulation of E2F1Clinical managementExpression of E2F1Survival timeClinical relevance
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 expressionPatientsSurvivalBRCA1 mRNA expression modifies the effect of T cell activation score on patient survival in breast cancer
Lu L, Huang H, Zhou J, Ma W, Mackay S, Wang Z. BRCA1 mRNA expression modifies the effect of T cell activation score on patient survival in breast cancer. BMC Cancer 2019, 19: 387. PMID: 31023256, PMCID: PMC6482542, DOI: 10.1186/s12885-019-5595-3.Peer-Reviewed Original ResearchConceptsT cell activation statusCell activation statusPatient survivalT cell activationBreast cancerActivation statusCCND1 levelsCell activationT cell activation scoreCCND1 expressionKaplan-Meier survival curvesAdjusted hazard ratioCCND1 expression levelsBreast cancer patient survivalImmune checkpoint blockadeBetter overall survivalBreast cancer patientsCox regression modelCancer patient survivalT cell recognitionBRCA1 levelsBRCA1 mRNA expressionCheckpoint blockadeHazard ratioOverall survivalMicroRNA-34a suppresses aggressiveness of hepatocellular carcinoma by modulating E2F1, E2F3, and Caspase-3
Han R, Chen X, Li Y, Zhang S, Li R, Lu L. MicroRNA-34a suppresses aggressiveness of hepatocellular carcinoma by modulating E2F1, E2F3, and Caspase-3. Cancer Management And Research 2019, 11: 2963-2976. PMID: 31114344, PMCID: PMC6489561, DOI: 10.2147/cmar.s202664.Peer-Reviewed Original ResearchPrimary hepatocellular carcinomaHepatocellular carcinomaKaplan-Meier survival curvesNormal tissuesSNU-449Cell proliferationLiver cancer cellsQuantitative reverse transcription PCROverall survivalPatient survivalCaspase-3 activityHCC patientsReverse transcription-PCRAntineoplastic roleBetter survivalTreatment groupsTumor aggressivenessRT-qPCR resultsSurvival analysisSurvival curvesMeta-AnalysisCASP3 activityMicroRNA-34aCancer cellsCell invasion
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 prognosis
2015
Circulating tumor cell clusters-associated gene plakoglobin and breast cancer survival
Lu L, Zeng H, Gu X, Ma W. Circulating tumor cell clusters-associated gene plakoglobin and breast cancer survival. Breast Cancer Research And Treatment 2015, 151: 491-500. PMID: 25957595, DOI: 10.1007/s10549-015-3416-1.Peer-Reviewed Original ResearchConceptsBreast cancer survivalCancer survivalBreast cancerTumor cellsDisease-specific deathBreast cancer recurrencePotential prognostic biomarkerBreast cancer metastasisEpithelial-mesenchymal transitionHigh metastatic potentialFurther metastasesPatient survivalCancer recurrencePrognostic biomarkerTherapeutic targetSurvival analysisMetastatic potentialCancer metastasisMajor causeHigh expressionEpithelial cellsCancerRole of plakoglobinDouble-edged functionSurvivalMicroRNA let‐7a modifies the effect of self‐renewal gene HIWI on patient survival of epithelial ovarian cancer
Lu L, Katsaros D, Risch HA, Canuto EM, Biglia N, Yu H. MicroRNA let‐7a modifies the effect of self‐renewal gene HIWI on patient survival of epithelial ovarian cancer. Molecular Carcinogenesis 2015, 55: 357-365. PMID: 25630839, DOI: 10.1002/mc.22285.Peer-Reviewed Original ResearchConceptsEpithelial ovarian cancerKaplan-Meier survival curvesOverall survivalHIWI expressionLet-7a expressionPatient survivalLet-7aClinical relevanceMultivariate Cox proportional hazards regression analysisCox proportional hazards regression analysisCox proportional hazards regression modelSurvival curvesProportional hazards regression analysisProportional hazards regression modelsLow let-7aHazards regression analysisRisk of deathPoor overall survivalHazards regression modelsMiRNA let-7aPrimary EOC tissuesQuantitative reverse transcription PCRU-shape associationEOC prognosisPrognostic significance
2013
An insulin-like growth factor-II intronic variant affects local DNA conformation and ovarian cancer survival
Lu L, Risch E, Deng Q, Biglia N, Picardo E, Katsaros D, Yu H. An insulin-like growth factor-II intronic variant affects local DNA conformation and ovarian cancer survival. Carcinogenesis 2013, 34: 2024-2030. PMID: 23677070, DOI: 10.1093/carcin/bgt168.Peer-Reviewed Original ResearchConceptsInsulin-like growth factor IIIGF-II expressionPatient survivalGrowth factor IIPresence of carboplatinChemotherapy responseOvarian cancerCox proportional hazards regression modelKaplan-Meier survival curvesProportional hazards regression modelsFactor IIOvarian cancer tissue samplesIGF-II genotypeAdjusted hazard ratioOvarian cancer survivalHazards regression modelsCommercial enzyme-linked immunosorbentQuantitative reverse transcription polymerase chain reactionReverse transcription-polymerase chain reactionOvarian cancer developmentTranscription-polymerase chain reactionCancer tissue samplesEnzyme-linked immunosorbentHazard ratioSNP genotyping assays
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 methylationFunctional study of risk loci of stem cell-associated gene lin-28B and associations with disease survival outcomes in epithelial ovarian cancer
Lu L, Katsaros D, Mayne ST, Risch HA, Benedetto C, Canuto EM, Yu H. Functional study of risk loci of stem cell-associated gene lin-28B and associations with disease survival outcomes in epithelial ovarian cancer. Carcinogenesis 2012, 33: 2119-2125. PMID: 22822098, DOI: 10.1093/carcin/bgs243.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overCarcinoma, Ovarian EpithelialCircular DichroismCohort StudiesFemaleFollow-Up StudiesHumansMiddle AgedNeoplasm StagingNeoplasms, Glandular and EpithelialNeoplastic Stem CellsNucleic Acid ConformationOvarian NeoplasmsPolymorphism, Single NucleotidePrognosisPromoter Regions, GeneticQuantitative Trait LociReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionRisk FactorsRNA, MessengerRNA-Binding ProteinsSurvival RateConceptsSingle nucleotide polymorphismsOvarian cancerEpithelial ovarian cancer survivalCancer-related risk factorsEpithelial ovarian cancerOvarian cancer survivalOvarian cancer prognosisHigher mortality riskCell-associated markersPrimary EOC tissuesLin-28BStem cell-associated markersAssociation of genotypesDominant modelPatient survivalSurvival outcomesBorderline significanceEOC tissuesCancer survivalRisk factorsReal-time PCRMortality riskCancer prognosisMultivariate analysisPotential biomarkers
2011
Risk of second primary cancer after treatment for esophageal cancer: a pooled analysis of nine cancer registries
Zhu G, Chen Y, Zhu Z, Lu L, Bi X, Deng Q, Chen X, Su H, Liu Y, Guo H, Zheng T, Yu H, Zhang Y. Risk of second primary cancer after treatment for esophageal cancer: a pooled analysis of nine cancer registries. Diseases Of The Esophagus 2011, 25: 505-511. PMID: 22067063, DOI: 10.1111/j.1442-2050.2011.01273.x.Peer-Reviewed Original ResearchConceptsStandardized incidence ratiosEsophageal cancer survivorsSecond primary cancerSecond cancersEsophageal cancerPrimary cancerCancer survivorsProstate cancerCancer riskEnd Results ProgramEsophageal cancer patientsAssociation of radiotherapySecond cancer riskMost risk estimatesCancer RegistryIncidence ratiosDecreased riskPatient survivalResults ProgramPooled analysisCancer patientsLung cancerClinical trialsSecondary cancersGeneral population