2022
Location matters: LAG3 levels are lower in renal cell carcinoma metastatic sites compared to primary tumors, and expression at metastatic sites only may have prognostic importance
Schoenfeld D, Merkin R, Moutafi M, Martinez S, Adeniran A, Kumar D, Jilaveanu L, Hurwitz M, Rimm D, Kluger H. Location matters: LAG3 levels are lower in renal cell carcinoma metastatic sites compared to primary tumors, and expression at metastatic sites only may have prognostic importance. Frontiers In Oncology 2022, 12: 990367. PMID: 36313654, PMCID: PMC9608089, DOI: 10.3389/fonc.2022.990367.Peer-Reviewed Original ResearchRenal cell carcinomaImmune checkpoint inhibitorsMetastatic sitesBrain metastasesPrimary tumorMechanisms of resistancePD-1/PD-L1Anti-PD-1 therapyHigh-risk clinical characteristicsLarger primary tumor sizeAdvanced renal cell carcinomaAlternative immune checkpointsCertain drug regimensPoor-risk diseasePD-1 inhibitorsMinority of patientsPrimary tumor sizeLonger overall survivalGrade 4 tumorsProtein levelsPrimary RCC tumorsAttractive therapeutic targetIdentification of subgroupsCheckpoint inhibitorsUpfront therapyAssociation of PD-1/PD-L1 Co-location with Immunotherapy Outcomes in Non-Small Cell Lung Cancer
Gavrielatou N, Liu Y, Vathiotis I, Zugazagoitia J, Aung TN, Shafi S, Fernandez A, Schalper K, Psyrri A, Rimm DL. Association of PD-1/PD-L1 Co-location with Immunotherapy Outcomes in Non-Small Cell Lung Cancer. Clinical Cancer Research 2022, 28: clincanres.2649.2021. PMID: 34686497, PMCID: PMC8776595, DOI: 10.1158/1078-0432.ccr-21-2649.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerBest overall responsePD-L1 tumor proportion scorePD-1/PD-L1Immune checkpoint inhibitorsProgression-free survivalTumor proportion scoreCell lung cancerPD-L1Immunotherapy outcomesCheckpoint inhibitorsOverall survivalQuantitative immunofluorescenceLung cancerProportion scoreAdvanced non-small cell lung cancerLocal T cell responsesCell death protein 1Immunotherapy-treated patientsMultiplexed quantitative immunofluorescencePD-1 expressionPD-L1 expressionDeath protein 1Selection of patientsT cell responses
2020
The path to a better biomarker: application of a risk management framework for the implementation of PD‐L1 and TILs as immuno‐oncology biomarkers in breast cancer clinical trials and daily practice
Gonzalez‐Ericsson P, Stovgaard ES, Sua LF, Reisenbichler E, Kos Z, Carter JM, Michiels S, Le Quesne J, Nielsen TO, Lænkholm A, Fox SB, Adam J, Bartlett JM, Rimm DL, Quinn C, Peeters D, Dieci MV, Vincent‐Salomon A, Cree I, Hida AI, Balko JM, Haynes HR, Frahm I, Acosta‐Haab G, Balancin M, Bellolio E, Yang W, Kirtani P, Sugie T, Ehinger A, Castaneda CA, Kok M, McArthur H, Siziopikou K, Badve S, Fineberg S, Gown A, Viale G, Schnitt SJ, Pruneri G, Penault‐Llorca F, Hewitt S, Thompson EA, Allison KH, Symmans WF, Bellizzi AM, Brogi E, Moore DA, Larsimont D, Dillon DA, Lazar A, Lien H, Goetz MP, Broeckx G, Bairi K, Harbeck N, Cimino‐Mathews A, Sotiriou C, Adams S, Liu S, Loibl S, Chen I, Lakhani SR, Juco JW, Denkert C, Blackley EF, Demaria S, Leon‐Ferre R, Gluz O, Zardavas D, Emancipator K, Ely S, Loi S, Salgado R, Sanders M, Group I. The path to a better biomarker: application of a risk management framework for the implementation of PD‐L1 and TILs as immuno‐oncology biomarkers in breast cancer clinical trials and daily practice. The Journal Of Pathology 2020, 250: 667-684. PMID: 32129476, DOI: 10.1002/path.5406.Peer-Reviewed Original ResearchConceptsTriple-negative breast cancerTumor-infiltrating lymphocytesPD-L1Breast cancerPatient selectionInter-reader reproducibilityEarly-stage triple-negative breast cancerPD-1/PD-L1 inhibitorsStage triple-negative breast cancerAdvanced triple-negative breast cancerPD-1/PD-L1High tumor-infiltrating lymphocytesImmune checkpoint inhibitor therapyAddition of atezolizumabPD-L1 assessmentSuboptimal patient selectionCheckpoint inhibitor therapyOptimal patient selectionPD-L1 expressionPD-L1 inhibitorsDaily practiceStandard of careImmuno-therapeutic approachesNegative breast cancerEosin-stained slides
2018
Quantitative Spatial Profiling of PD-1/PD-L1 Interaction and HLA-DR/IDO-1 Predicts Improved Outcomes of Anti–PD-1 Therapies in Metastatic Melanoma
Johnson DB, Bordeaux J, Kim J, Vaupel C, Rimm DL, Ho TH, Joseph RW, Daud AI, Conry RM, Gaughan EM, Hernandez-Aya LF, Dimou A, Funchain P, Smithy J, Witte JS, McKee SB, Ko J, Wrangle J, Dabbas B, Tangri S, Lameh J, Hall J, Markowitz J, Balko JM, Dakappagari N. Quantitative Spatial Profiling of PD-1/PD-L1 Interaction and HLA-DR/IDO-1 Predicts Improved Outcomes of Anti–PD-1 Therapies in Metastatic Melanoma. Clinical Cancer Research 2018, 24: 5250-5260. PMID: 30021908, PMCID: PMC6214750, DOI: 10.1158/1078-0432.ccr-18-0309.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorBiopsyCell Line, TumorFemaleHLA-DR AntigensHumansImmunohistochemistryIndoleamine-Pyrrole 2,3,-DioxygenaseMaleMelanomaMiddle AgedModels, BiologicalNeoplasm MetastasisNeoplasm StagingPrognosisProgrammed Cell Death 1 ReceptorProtein BindingRetreatmentTreatment OutcomeConceptsAnti-PD-1 responseHLA-DRValidation cohortPD-1/PD-L1PD-1 blockersPD-1 monotherapyPD-L1 expressionPretreatment tumor biopsiesProgression-free survivalSubset of patientsAcademic cancer centerBiomarkers of responseIndependent validation cohortClin Cancer ResImmunosuppression mechanismsClinical responseOverall survivalPD-L1Melanoma patientsCancer CenterTreatment outcomesTumor biopsiesDiscovery cohortPatientsIndividual biomarkers
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
2016
RAS/MAPK Activation Is Associated with Reduced Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancer: Therapeutic Cooperation Between MEK and PD-1/PD-L1 Immune Checkpoint Inhibitors
Loi S, Dushyanthen S, Beavis PA, Salgado R, Denkert C, Savas P, Combs S, Rimm DL, Giltnane JM, Estrada MV, Sánchez V, Sanders ME, Cook RS, Pilkinton MA, Mallal SA, Wang K, Miller VA, Stephens PJ, Yelensky R, Doimi FD, Gómez H, Ryzhov SV, Darcy PK, Arteaga CL, Balko JM. RAS/MAPK Activation Is Associated with Reduced Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancer: Therapeutic Cooperation Between MEK and PD-1/PD-L1 Immune Checkpoint Inhibitors. Clinical Cancer Research 2016, 22: 1499-1509. PMID: 26515496, PMCID: PMC4794351, DOI: 10.1158/1078-0432.ccr-15-1125.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsB7-H1 AntigenBiomarkersCell Line, TumorDisease Models, AnimalDisease ProgressionFemaleGene Expression ProfilingHumansImmunomodulationImmunophenotypingLymphocytes, Tumor-InfiltratingMiceMitogen-Activated Protein KinasesMortalityPhenotypeProgrammed Cell Death 1 ReceptorProtein Kinase InhibitorsRas ProteinsSignal TransductionTranscriptomeTriple Negative Breast NeoplasmsConceptsTriple-negative breast cancerTumor-infiltrating lymphocytesImmune checkpoint inhibitorsResidual diseaseNeoadjuvant chemotherapyBreast cancerPD-L1Checkpoint inhibitorsMHC expressionMouse modelPD-1/PD-L1 immune checkpoint inhibitorsPD-L1 immune checkpoint inhibitorsPresence of TILsPD-1/PD-L1Low tumor-infiltrating lymphocytesPD-L1/PDAntitumor immune responseRAS/MAPK activationCell-surface MHC expressionMAPK activationImproved survivalImproved prognosisPredictive biomarkersClinical trialsImmune response