2019
Digital Inference of Immune Microenvironment Reveals Low-Risk Subtype of Early Lung Adenocarcinoma
Kurbatov V, Balayev A, Saffarzadeh A, Heller DR, Boffa DJ, Blasberg JD, Lu J, Khan SA. Digital Inference of Immune Microenvironment Reveals Low-Risk Subtype of Early Lung Adenocarcinoma. The Annals Of Thoracic Surgery 2019, 109: 343-349. PMID: 31568747, DOI: 10.1016/j.athoracsur.2019.08.050.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinoma of LungAdultAgedCohort StudiesDatabases, FactualDisease-Free SurvivalFemaleHumansImmunotherapyKaplan-Meier EstimateLung NeoplasmsMaleMiddle AgedNeoplasm InvasivenessNeoplasm StagingPneumonectomyPrognosisProportional Hazards ModelsRetrospective StudiesRisk AssessmentSurvival AnalysisTumor MicroenvironmentConceptsTumor immune microenvironmentImmune microenvironmentLung adenocarcinomaOverall survivalRisk groupsMast cellsCox proportional hazard modelingEarly-stage lung adenocarcinomaLow-risk subtypesKaplan-Meier analysisPathological staging systemProportional hazard modelingImproved clinical outcomesCancer immune microenvironmentImmune cell typesEarly lung adenocarcinomaActivation stateClinical outcomesValidation cohortMacrophage contentStaging systemMultivariable modelCIBERSORT analysisPatientsClinical decision
2012
Oligo- and Polymetastatic Progression in Lung Metastasis(es) Patients Is Associated with Specific MicroRNAs
Lussier YA, Khodarev NN, Regan K, Corbin K, Li H, Ganai S, Khan SA, Gnerlich J, Darga TE, Fan H, Karpenko O, Paty PB, Posner MC, Chmura SJ, Hellman S, Ferguson MK, Weichselbaum RR. Oligo- and Polymetastatic Progression in Lung Metastasis(es) Patients Is Associated with Specific MicroRNAs. PLOS ONE 2012, 7: e50141. PMID: 23251360, PMCID: PMC3518475, DOI: 10.1371/journal.pone.0050141.Peer-Reviewed Original ResearchConceptsMetastatic progressionWidespread metastatic diseaseLower ratesPolymetastatic progressionCurative intentInitial metastasisMetastatic diseaseSurgical resectionMetastasis samplesLimited progressionPatientsDistinct entityProgressionLatter groupRecurrenceMetastasisHigh rateIndependent validation datasetExpression patternsOligometastasesResectionMicroRNAsRadiotherapyLungValidation datasetTumor Endothelial Inflammation Predicts Clinical Outcome in Diverse Human Cancers
Pitroda SP, Zhou T, Sweis RF, Filippo M, Labay E, Beckett MA, Mauceri HJ, Liang H, Darga TE, Perakis S, Khan SA, Sutton HG, Zhang W, Khodarev NN, Garcia JG, Weichselbaum RR. Tumor Endothelial Inflammation Predicts Clinical Outcome in Diverse Human Cancers. PLOS ONE 2012, 7: e46104. PMID: 23056240, PMCID: PMC3464251, DOI: 10.1371/journal.pone.0046104.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAnimalsBreast NeoplasmsCell Line, TumorCells, CulturedColonic NeoplasmsEndothelial CellsEndothelium, VascularFemaleGene Expression ProfilingGliomaHuman Umbilical Vein Endothelial CellsHumansInflammationKaplan-Meier EstimateLung NeoplasmsMaleMiceMiddle AgedMultivariate AnalysisNeoplasmsNeovascularization, PathologicOligonucleotide Array Sequence AnalysisTumor Necrosis Factor-alphaConceptsEndothelial inflammationEndothelial cellsOverall survivalHuman cancersDiverse human cancersExperimental modelTumor-associated endothelial cellsStromal inflammatory responsePathological prognostic factorsEndothelial-derived factorsPro-inflammatory cytokinesInflammatory gene expressionPathologic tissue specimensUntreated endothelial cellsVascular endothelial cellsMultiple human cancersInflammatory signatureHuman endothelial cellsPrognostic factorsClinical outcomesChronic inflammationInflammatory pathwaysLung cancerTumor necrosisInflammatory response