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
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
2006
Vascular endothelial growth factor, FLT‐1, and FLK‐1 analysis in a pancreatic cancer tissue microarray
Chung GG, Yoon HH, Zerkowski MP, Ghosh S, Thomas L, Harigopal M, Charette LA, Salem RR, Camp RL, Rimm DL, Burtness BA. Vascular endothelial growth factor, FLT‐1, and FLK‐1 analysis in a pancreatic cancer tissue microarray. Cancer 2006, 106: 1677-1684. PMID: 16532435, DOI: 10.1002/cncr.21783.Peer-Reviewed Original ResearchConceptsPancreatic cancer tissue microarrayCancer tissue microarrayTissue microarrayVEGF receptor 1Flt-1Receptor 1Kaplan-Meier survival curvesVascular endothelial growth factor (VEGF) expressionIndependent prognostic factorVascular endothelial growth factorFlk-1Growth factor expressionEndothelial growth factorPrimary antibodyFlt-1 expressionOverall survivalPrognostic factorsWorse survivalAggressive diseaseDisease stagePoor prognosisTumor expressionPancreatic cancerPancreatic adenocarcinomaPrincipal receptor
2005
β-Catenin Functions Mainly as an Adhesion Molecule in Patients with Squamous Cell Cancer of the Head and Neck
Yu Z, Weinberger PM, Provost E, Haffty BG, Sasaki C, Joe J, Camp RL, Rimm DL, Psyrri A. β-Catenin Functions Mainly as an Adhesion Molecule in Patients with Squamous Cell Cancer of the Head and Neck. Clinical Cancer Research 2005, 11: 2471-2477. PMID: 15814622, DOI: 10.1158/1078-0432.ccr-04-2199.Peer-Reviewed Original ResearchConceptsSquamous cell cancerCyclin D1 levelsCell cancerNeck squamous cell cancerAdhesion moleculesD1 levelsDisease-free survivalIndependent prognostic factorLocal recurrence rateKaplan-Meier analysisMembranous expression patternLow cyclin D1Cancer tissue microarrayIncidence of mutationsProtein expression levelsMean followHazard ratioPrognostic factorsLocal recurrencePathologic dataCox regressionRecurrence rateMetastasis stageTissue microarrayBeta-catenin expression
2004
Prognostic Significance of p16 Protein Levels in Oropharyngeal Squamous Cell Cancer
Weinberger PM, Yu Z, Haffty BG, Kowalski D, Harigopal M, Sasaki C, Rimm DL, Psyrri A. Prognostic Significance of p16 Protein Levels in Oropharyngeal Squamous Cell Cancer. Clinical Cancer Research 2004, 10: 5684-5691. PMID: 15355894, DOI: 10.1158/1078-0432.ccr-04-0448.Peer-Reviewed Original ResearchConceptsSquamous cell cancerOropharyngeal squamous cell carcinomaOropharyngeal squamous cell cancerDisease-free survivalLocal recurrence rateSquamous cell carcinomaCell cancerOverall survivalRecurrence rateCell carcinomaP16 overexpressionNeck squamous cell cancerLow local recurrence rateAdvanced Tumor-NodeMean patient followIndependent prognostic factorHigh histologic gradeP16 expression statusOverexpression of p16Local recurrencePrognostic factorsPrognostic importanceP16 protein expressionPrognostic significanceHistologic grade
1998
Expression of c‐met is a strong independent prognostic factor in breast carcinoma
Ghoussoub R, Dillon D, D'Aquila T, Rimm E, Fearon E, Rimm D. Expression of c‐met is a strong independent prognostic factor in breast carcinoma. Cancer 1998, 82: 1513-1520. PMID: 9554529, DOI: 10.1002/(sici)1097-0142(19980415)82:8<1513::aid-cncr13>3.0.co;2-7.Peer-Reviewed Original ResearchConceptsBreast carcinomaIndependent predictorsStrong independent prognostic factorCox proportional hazards modelGrowth factorIndependent prognostic factorLymph node statusSubset of patientsInvasive ductal carcinomaUseful prognostic markerProportional hazards modelBreast tumor specimensHepatocyte growth factorNegative patientsPrognostic factorsAggressive diseaseDuctal carcinomaNode statusPrognostic valuePrognostic markerTumor specimensHazards modelPatientsPredictive valueSurvival rate