2024
BCAM (basal cell adhesion molecule) protein expression in different tumor populations
Burela S, He M, Trontzas I, Gavrielatou N, Schalper K, Langermann S, Flies D, Rimm D, Aung T. BCAM (basal cell adhesion molecule) protein expression in different tumor populations. Discover Oncology 2024, 15: 381. PMID: 39207605, PMCID: PMC11362396, DOI: 10.1007/s12672-024-01244-1.Peer-Reviewed Original ResearchPD-L1 expressionBasal cell adhesion moleculePD-L1Quantitative immunofluorescenceAssociated with better OSPD-L1 protein expressionCancer typesBladder urothelial tumorsProtein expressionMultiple immune checkpointsHead and neckMultiple tumor typesEvidence of hypermethylationImmune checkpointsImmunotherapy responseCell adhesion moleculesTumor typesValidation cohortTumor populationCancer patientsTumorPredictive valueAdhesion moleculesNovel biomarkersWidespread expression
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
2020
Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials
Hudeček J, Voorwerk L, van Seijen M, Nederlof I, de Maaker M, van den Berg J, van de Vijver KK, Sikorska K, Adams S, Demaria S, Viale G, Nielsen TO, Badve SS, Michiels S, Symmans WF, Sotiriou C, Rimm DL, Hewitt SM, Denkert C, Loibl S, Loi S, Bartlett JMS, Pruneri G, Dillon DA, Cheang MCU, Tutt A, Hall JA, Kos Z, Salgado R, Kok M, Horlings HM. Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials. Npj Breast Cancer 2020, 6: 15. PMID: 32436923, PMCID: PMC7217941, DOI: 10.1038/s41523-020-0155-1.Peer-Reviewed Original ResearchStromal tumor-infiltrating lymphocytesTriple-negative breast cancerMetastatic triple-negative breast cancerTumor-infiltrating lymphocytesClinical trialsBiomarker-driven clinical trialsPotential predictive biomarkersPotential risk factorsImmunotherapy trialsImmunotherapy responsePredictive biomarkersRisk factorsBreast cancerStratification factorsSpecific trialsIntegral biomarkerTrialsLymphocytesBiomarkersReliable assessmentReviewCancer