2024
Correlation of eTILs with recurrence free survival (RFS) in stage IIB-IIIA melanoma and use as biomarker for stratification for clinical trials.
Aung T, Zhang C, Espinoza G, Leung L, Moon J, Horst B, Ferringer T, Nastiuk K, Rimm D, Saenger Y. Correlation of eTILs with recurrence free survival (RFS) in stage IIB-IIIA melanoma and use as biomarker for stratification for clinical trials. Journal Of Clinical Oncology 2024, 42: 9567-9567. DOI: 10.1200/jco.2024.42.16_suppl.9567.Peer-Reviewed Original ResearchTumor-infiltrating lymphocytesRecurrence free survivalAmerican Joint Committee on CancerFree survivalInfiltrating lymphocytesRetrospective cohortClinical trialsQuantify tumor-infiltrating lymphocytesStage II-III melanomaTumor-infiltrating lymphocytes groupDiagnostic slidesIIb-IIIaRoswell Park Comprehensive Cancer CenterEarly-stage melanoma patientsCox modelStage IIB-IIICAdjuvant clinical trialsKaplan-Meier curvesMultivariate Cox modelUnivariate Cox modelCox proportional hazards modelsClinical pathological featuresGeisinger Medical CenterProportional hazards modelClinical trial design
2022
Prediction of pathologic complete response to neoadjuvant chemotherapy in breast cancer (SWOG S0800) using image analysis-based tumor infiltrating lymphocyte measurements.
Blenman K, Fanucci K, Bai Y, Pelekanou V, Nahleh Z, Shafi S, Burela S, Barlow W, Sharma P, Thompson A, Godwin A, Rimm D, Hortobagyi G, Pusztai L. Prediction of pathologic complete response to neoadjuvant chemotherapy in breast cancer (SWOG S0800) using image analysis-based tumor infiltrating lymphocyte measurements. Journal Of Clinical Oncology 2022, 40: 594-594. DOI: 10.1200/jco.2022.40.16_suppl.594.Peer-Reviewed Original ResearchPathologic complete responseBreast cancerNeoadjuvant chemotherapyComplete responseTIL scoreResidual diseaseResponse predictive markersBetter EFSBevacizumab benefitLymphocyte measurementsTIL assessmentFree survivalPredictive markerTIL quantificationInternational guidelinesPretreatment samplesLogistic regressionCancerOutcome discriminationChemotherapyScoresContinuous scoresTumorsClinical adoptionStrong positive correlation
2017
Quantitative spatial profiling of PD-1/PD-L1 interaction and HLA-DR/IDO1 to predict outcomes to anti-PD-1 in metastatic melanoma (MM).
Johnson D, Bordeaux J, Kim J, Vaupel C, Rimm D, Ho T, Joseph R, Daud A, Conry R, Gaughan E, Dimou A, Balko J, Smithy J, Witte J, McKee S, Dominiak N, Dabbas B, Hall J, Dakappagari N. Quantitative spatial profiling of PD-1/PD-L1 interaction and HLA-DR/IDO1 to predict outcomes to anti-PD-1 in metastatic melanoma (MM). Journal Of Clinical Oncology 2017, 35: 9517-9517. DOI: 10.1200/jco.2017.35.15_suppl.9517.Peer-Reviewed Original ResearchHLA-DRValidation cohortMetastatic melanomaPD-1/PD-L1Anti-PD-1 therapyPD-1/L1Pre-treatment tumor biopsiesPD-1/PD-L1 interactionPD-1 monotherapyPD-L1 expressionProgression-free survivalBiomarkers of responseFuture clinical trialsMultiple immune markersPD-L1 interactionImmune suppression mechanismsPrior therapyFree survivalDurable responsesOverall survivalPD-L1Immune markersClinical trialsTreatment responseTumor biopsies