2023
Survival differences between the USA and an urban population from China for all cancer types and 20 individual cancers: a population-based study
Fu R, Sun K, Wang X, Liu B, Wang T, Morze J, Nawrocki S, An L, Zhang S, Li L, Wang S, Chen R, Sun K, Han B, Lin H, Wang H, Liu D, Wang Y, Li Y, Zhang Q, Mu H, Geng Q, Sun F, Zhao H, Zhang X, Lu L, Mei D, Zeng H, Wei W. Survival differences between the USA and an urban population from China for all cancer types and 20 individual cancers: a population-based study. The Lancet Regional Health - Western Pacific 2023, 37: 100799. PMID: 37693879, PMCID: PMC10485681, DOI: 10.1016/j.lanwpc.2023.100799.Peer-Reviewed Original ResearchExcess hazard ratioStage-specific survivalCancer patientsCancer survivalRelative survivalCancer typesIndividual cancersEnd Results (SEER) databasePopulation-based studyFemale breast cancerLung cancer patientsCancer registry dataCancer early detectionMedical SciencesHazard ratioOverall prognosisSurvival disparitiesResults databaseCancer HospitalCancer RegistryCervical cancerPoor prognosisVital statusColorectal cancerCancer care
2021
Intratumour 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
Syndecan-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 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 survival
2015
Management of Borderline Ovarian Tumors Based on Patient and Tumor Characteristics
Black JD, Altwerger GH, Ratner E, Lu L, Silasi DA, Azodi M, Santin AD, Schwartz PE, Rutherford TJ. Management of Borderline Ovarian Tumors Based on Patient and Tumor Characteristics. Gynecologic And Obstetric Investigation 2015, 81: 169-173. PMID: 26067608, DOI: 10.1159/000431219.Peer-Reviewed Original ResearchMucinous tumorsSeromucinous tumorsOvarian tumorsComplete surgical stagingNormal-appearing appendixBorderline ovarian tumorsLymph node involvementRetrospective cohort analysisRisk of recurrenceAggressive stagingNodal diseaseSurgical stagingHazard ratioNode involvementDisease recurrencePseudomyxoma peritoneiSerous tumorsSingle institutionPathology reportsCohort analysisLower riskRecurrenceMultivariate analysisFrozen sectionsTumors
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
2008
TGF-β1 genotype and phenotype in breast cancer and their associations with IGFs and patient survival
Mu L, Katsaros D, Lu L, Preti M, Durando A, Arisio R, Yu H. TGF-β1 genotype and phenotype in breast cancer and their associations with IGFs and patient survival. British Journal Of Cancer 2008, 99: 1357-1363. PMID: 18827819, PMCID: PMC2570529, DOI: 10.1038/sj.bjc.6604689.Peer-Reviewed Original ResearchConceptsHigher TGF-β1TGF-β1 genotypesTGF-β1T genotypeHazard ratioBreast cancerBreast tumorsProportional hazards regression analysisLower TGF-β1Early-stage diseaseHazards regression analysisBreast cancer patientsLate-stage diseaseShorter overall survivalFresh tumor samplesTGF-β1 concentrationsBreast cancer progressionClinical characteristicsIGFBP-3Overall survivalDisease recurrenceReceptor statusPatient survivalSurvival outcomesDisease stage