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
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 expression
2015
Prognostic and predictive values of long non-coding RNA LINC00472 in breast cancer
Shen Y, Katsaros D, Loo LW, Hernandez BY, Chong C, Canuto EM, Biglia N, Lu L, Risch H, Chu WM, Yu H. Prognostic and predictive values of long non-coding RNA LINC00472 in breast cancer. Oncotarget 2015, 6: 8579-8592. PMID: 25865225, PMCID: PMC4496168, DOI: 10.18632/oncotarget.3287.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntineoplastic Agents, HormonalBreast NeoplasmsCarcinomaCell DivisionCell Line, TumorCell MovementChemotherapy, AdjuvantDisease-Free SurvivalFemaleGene ExpressionGenes, Tumor SuppressorGenetic VectorsHumansMiddle AgedNeoplasm GradingNeoplasm StagingPrognosisRecurrenceRiskRNARNA, Long NoncodingRNA, NeoplasmTissue Array AnalysisTreatment OutcomeYoung AdultConceptsLINC00472 expressionBreast cancerPredictive valueBreast tumorsLow expressionBreast cancer cell proliferationFavorable molecular subtypesNormal-like tumorsFavorable disease outcomeAggressive breast tumorsRisk of relapseCell proliferationCancer cell proliferationBreast cancer cellsBreast tumor samplesAdjuvant chemoHormonal therapyLuminal AClinical managementDisease outcomeGene Expression Omnibus databaseMolecular subtypesLong non-coding RNALINC00472Tumor samples
2014
Impact of Body Mass Index on Surgical Outcomes and Analysis of Disease Recurrence for Patients With Endometrial Cancer Undergoing Robotic-Assisted Staging
Menderes G, Azodi M, Clark L, Xu X, Lu L, Ratner E, Schwartz PE, Rutherford TJ, Santin AD, Silasi DA. Impact of Body Mass Index on Surgical Outcomes and Analysis of Disease Recurrence for Patients With Endometrial Cancer Undergoing Robotic-Assisted Staging. International Journal Of Gynecological Cancer 2014, 24: 1118-1125. PMID: 24927247, DOI: 10.1097/igc.0000000000000156.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinoma, Clear CellAdultAgedAged, 80 and overBody Mass IndexCarcinosarcomaCystadenocarcinoma, SerousEndometrial NeoplasmsFemaleFollow-Up StudiesHumansHysterectomyLymph Node ExcisionLymphatic MetastasisMiddle AgedNeoplasm GradingNeoplasm Recurrence, LocalNeoplasm StagingPrognosisRetrospective StudiesRoboticsSurvival RateConceptsBody mass indexRecurrence-free survivalRobotic-assisted stagingEndometrial cancerRecurrence rateDisease recurrenceMass indexMean postoperative hospitalizationLymph node countMean operative timeLong-term outcomesNonendometrioid cancersMorbid obesityPostoperative hospitalizationMetastatic diseaseNonendometrioid histologyObese patientsOverall survivalConsecutive patientsOperative outcomesHistologic subtypeOperative timeSurgical outcomesEndometrioid carcinomaMean age