2021
Using Machine Learning Algorithms to Predict Immunotherapy Response in Patients with Advanced Melanoma
Johannet P, Coudray N, Donnelly DM, Jour G, Illa-Bochaca I, Xia Y, Johnson DB, Wheless L, Patrinely JR, Nomikou S, Rimm DL, Pavlick AC, Weber JS, Zhong J, Tsirigos A, Osman I. Using Machine Learning Algorithms to Predict Immunotherapy Response in Patients with Advanced Melanoma. Clinical Cancer Research 2021, 27: 131-140. PMID: 33208341, PMCID: PMC7785656, DOI: 10.1158/1078-0432.ccr-20-2415.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedDisease ProgressionDrug Resistance, NeoplasmFemaleFollow-Up StudiesHumansImage Processing, Computer-AssistedImmune Checkpoint InhibitorsMachine LearningMaleMelanomaMiddle AgedNeoplasm StagingPrognosisProgression-Free SurvivalProspective StudiesRisk AssessmentROC CurveSkinSkin NeoplasmsConceptsProgression-free survivalImmune checkpoint inhibitorsLower riskClinicodemographic characteristicsAdvanced melanomaClinical dataWorse progression-free survivalICI treatment outcomesKaplan-Meier curvesBiomarkers of responseStandard of careCheckpoint inhibitorsICI responseImmunotherapy responseValidation cohortTraining cohortDisease progressionProspective validationTreatment outcomesHigh riskClinical practicePatientsROC curveProgressionRisk
2011
Lymph Node Ratio Should Be Considered for Incorporation into Staging for Breast Cancer
Chagpar AB, Camp RL, Rimm DL. Lymph Node Ratio Should Be Considered for Incorporation into Staging for Breast Cancer. Annals Of Surgical Oncology 2011, 18: 3143. PMID: 21847696, DOI: 10.1245/s10434-011-2012-9.Peer-Reviewed Original ResearchConceptsNode-positive breast cancer patientsDifferent OS ratesOverall survivalBreast cancer patientsOS independentClinicopathologic factorsOS ratesCancer patientsBreast cancer staging systemCurrent American Joint CommitteeLymph node ratioAdditional prognostic informationAmerican Joint CommitteeCancer (AJCC) staging systemTraditional clinicopathologic factorsPN statusIntermediate riskNodal statusStaging systemPrognostic informationBreast cancerHigh riskLower riskJoint CommitteeNode ratio
2010
Nuclear Localization of Signal Transducer and Activator of Transcription 3 in Head and Neck Squamous Cell Carcinoma Is Associated with a Better Prognosis
Pectasides E, Egloff AM, Sasaki C, Kountourakis P, Burtness B, Fountzilas G, Dafni U, Zaramboukas T, Rampias T, Rimm D, Grandis J, Psyrri A. Nuclear Localization of Signal Transducer and Activator of Transcription 3 in Head and Neck Squamous Cell Carcinoma Is Associated with a Better Prognosis. Clinical Cancer Research 2010, 16: 2427-2434. PMID: 20371693, PMCID: PMC3030188, DOI: 10.1158/1078-0432.ccr-09-2658.Peer-Reviewed Original ResearchConceptsLonger progression-free survivalNeck squamous cell cancerNeck squamous cell carcinomaProgression-free survivalSquamous cell cancerSquamous cell carcinomaPittsburgh Medical CenterTranscription 3Early Detection Research NetworkCurative intentPrognostic roleSurgical resectionBetter prognosisSignal transducerCell cancerCell carcinomaFavorable outcomeSurvival prognosisClinicopathologic parametersMedical CenterIndependent cohortLower riskTest cohortHNSCCSurvival analysis
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