2019
Prediction of distant melanoma recurrence from primary tumor digital H&E images using deep learning.
Robinson E, Kulkarni P, Pradhan J, Gartrell R, Yang C, Rizk E, Acs B, Rohr B, Phelps R, Ferringer T, Horst B, Rimm D, Wang J, Saenger Y. Prediction of distant melanoma recurrence from primary tumor digital H&E images using deep learning. Journal Of Clinical Oncology 2019, 37: 9577-9577. DOI: 10.1200/jco.2019.37.15_suppl.9577.Peer-Reviewed Original ResearchDeep neural net architectureOpen source softwareRecurrent neural networkNeural net architectureDigital pathology toolsDeep learningSource softwareNet architectureFeature informationNeural networkNetwork parametersTIFF filesAdjuvant immunotherapyMelanoma recurrenceCohort 2Cohort 1Cell classificationStage IMultivariable Cox proportional hazards modelsDNNCox proportional hazards modelColumbia University Medical CenterNuclear segmentationEvidence of diseaseIndependent prognostic factor
2017
Differential Expression and Significance of PD-L1, IDO-1, and B7-H4 in Human Lung Cancer
Schalper KA, Carvajal-Hausdorf D, McLaughlin J, Altan M, Velcheti V, Gaule P, Sanmamed MF, Chen L, Herbst RS, Rimm DL. Differential Expression and Significance of PD-L1, IDO-1, and B7-H4 in Human Lung Cancer. Clinical Cancer Research 2017, 23: 370-378. PMID: 27440266, PMCID: PMC6350535, DOI: 10.1158/1078-0432.ccr-16-0150.Peer-Reviewed Original ResearchMeSH KeywordsA549 CellsAgedB7-H1 AntigenBiomarkers, TumorCarcinoma, Non-Small-Cell LungDisease-Free SurvivalDrug Resistance, NeoplasmGene Expression Regulation, NeoplasticHumansIndoleamine-Pyrrole 2,3,-DioxygenaseInterferon-gammaInterleukin-10Lymphocytes, Tumor-InfiltratingMiddle AgedNeoplasm StagingRNA, MessengerV-Set Domain-Containing T-Cell Activation Inhibitor 1ConceptsNon-small cell lung cancerB7-H4PD-L1IDO-1Lung cancerLung carcinomaQuantitative immunofluorescenceIFNγ stimulationElevated PD-L1Major clinicopathologic variablesMultiplexed quantitative immunofluorescenceOptimal clinical trialsT-cell infiltratesCell lung cancerImmune evasion pathwaysHuman lung carcinomaLung adenocarcinoma A549Cancer Genome AtlasClinicopathologic variablesMarker levelsClinical trialsStage ITherapeutic resistanceTCGA datasetA549 cells
2008
Thyroid Transcription Factor 1 Is an Independent Prognostic Factor for Patients With Stage I Lung Adenocarcinoma
Anagnostou VK, Syrigos KN, Bepler G, Homer RJ, Rimm DL. Thyroid Transcription Factor 1 Is an Independent Prognostic Factor for Patients With Stage I Lung Adenocarcinoma. Journal Of Clinical Oncology 2008, 27: 271-278. PMID: 19064983, DOI: 10.1200/jco.2008.17.0043.Peer-Reviewed Original ResearchConceptsThyroid transcription factor-1Stage I lung adenocarcinomaTTF1 expressionTranscription factor 1Lung adenocarcinomaStage IIndependent lower riskMedian overall survivalProtein expressionIndependent prognostic factorPotential prognostic parametersSubgroup of patientsFactor 1Overall survivalPrognostic factorsPatient survivalPrognostic parametersPrognostic stratificationLung cancerFavorable outcomeSitu protein expressionIndependent cohortLower riskPatientsAdenocarcinoma
2005
Upstaging based solely on positive peritoneal washing does not affect outcome in endometrial cancer
Fadare O, Mariappan MR, Hileeto D, Wang, Mcalpine JN, Rimm DL. Upstaging based solely on positive peritoneal washing does not affect outcome in endometrial cancer. Modern Pathology 2005, 18: 673-680. PMID: 15578078, DOI: 10.1038/modpathol.3800342.Peer-Reviewed Original ResearchConceptsEndometrial carcinomaControl groupEndometrial cancerPeritoneal washingsPrognostic significanceStage IAge-matched control groupPositive peritoneal washingsSame histologic subtypeEndometrial carcinoma patientsPeritoneal washing cytologyProgression of diseaseExtra-uterine tumoursSingle-site studyExtrauterine diseasePositive washingsAbnormal cytologyAdjuvant therapySurgical stagingPositive cytologyCarcinoma patientsHistologic subtypeWashing cytologyHistologic evidenceIntraperitoneal disease