2017
Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images
Wang X, Janowczyk A, Zhou Y, Thawani R, Fu P, Schalper K, Velcheti V, Madabhushi A. Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images. Scientific Reports 2017, 7: 13543. PMID: 29051570, PMCID: PMC5648794, DOI: 10.1038/s41598-017-13773-7.Peer-Reviewed Original ResearchMeSH KeywordsAgedArea Under CurveCarcinoma, Non-Small-Cell LungCell NucleusCohort StudiesDiscriminant AnalysisFemaleHumansKaplan-Meier EstimateLung NeoplasmsMaleMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingPrognosisProportional Hazards ModelsRetrospective StudiesROC CurveTissue Array AnalysisConceptsNon-small cell lung cancerEarly-stage non-small cell lung cancerStage non-small cell lung cancerEarly-stage NSCLC patientsStage NSCLC patientsCell lung cancerPrediction of recurrenceDisease recurrenceNSCLC patientsLung cancerTissue microarrayMultivariable Cox proportional hazards modelsCox proportional hazards modelTraditional prognostic variablesIndependent prognostic factorIdentification of patientsProportional hazards modelAdjuvant therapyNodal statusPrognostic factorsRetrospective cohortValidation cohortTraining cohortPrognostic variablesHigh riskObjective measurement and clinical significance of IDO1 protein in hormone receptor-positive breast cancer
Carvajal-Hausdorf DE, Mani N, Velcheti V, Schalper KA, Rimm DL. Objective measurement and clinical significance of IDO1 protein in hormone receptor-positive breast cancer. Journal For ImmunoTherapy Of Cancer 2017, 5: 81. PMID: 29037255, PMCID: PMC5644103, DOI: 10.1186/s40425-017-0285-7.Peer-Reviewed Original ResearchConceptsHormone receptor-positive breast cancerReceptor-positive breast cancerIDO1 expressionBreast cancerIndependent negative prognostic markerB cell infiltrationImmune suppressive pathwaysAdvanced solid tumorsTumor-infiltrating lymphocytesT cell responsesClinico-pathological featuresClinico-pathological characteristicsProportional hazards modelNegative prognostic markerDegradation of tryptophanMann-Whitney testFoxp3 levelsIDO1 blockadeIDO1 levelsEffector CD4Durable responsesOverall survivalImmune toleranceMultivariable analysisPrognostic marker
2012
In situ quantitative measurement of mRNA to predict response to trastuzumab in a cohort of metastatic breast cancer patients.
Vassilakopoulou M, Bordeaux J, Neumeister V, Cheng H, Schalper K, Skarlos D, Pectasides D, Pavlidis N, Koutras A, Linardou H, Razis E, Bobos M, Kotoula V, Rimm D, Fountzilas G, Psyrri A. In situ quantitative measurement of mRNA to predict response to trastuzumab in a cohort of metastatic breast cancer patients. Journal Of Clinical Oncology 2012, 30: 573-573. DOI: 10.1200/jco.2012.30.15_suppl.573.Peer-Reviewed Original ResearchBreast cancer patientsMetastatic breast cancer patientsCancer patientsHER2 mRNA levelsHER2 mRNAHistological gradeTrastuzumab-treated metastatic breast cancer patientsMultivariate analysisCox proportional hazards modelHormone receptor statusMetastatic breast cancerKaplan-Meier analysisOverall survival timeMRNA levelsProportional hazards modelHER2 extracellular domainAssessment of HER2Extracellular domainTrastuzumab initiationChemotherapy regimensPrimary endpointReceptor statusTrastuzumab therapyMetastatic cohortTrastuzumab treatment