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
2023
Correlation of HER2 Protein Level With mRNA Level Quantified by RNAscope in Breast Cancer
Li X, Lee J, Gao Y, Zhang J, Bates K, Rimm D, Zhang H, Smith G, Lawson D, Meisel J, Chang J, Huo L. Correlation of HER2 Protein Level With mRNA Level Quantified by RNAscope in Breast Cancer. Modern Pathology 2023, 37: 100408. PMID: 38135153, DOI: 10.1016/j.modpat.2023.100408.Peer-Reviewed Original ResearchHER2 protein levelsHER2-low breast cancerT-DXdBreast cancerRNA levelsProtein levelsHER2 expressionEarly-stage breast cancerIHC H-scoresTrastuzumab deruxtecanTissue microarray coresClinical trialsMetastatic biopsiesImmunohistochemical assaysH-scoreDrug AdministrationResponse rateUS FoodPatientsIHC assaysCancerRNAscopeRegression analysisCell linesImmunofluorescence scores
2022
Quantitative assessment of Siglec-15 expression in lung, breast, head, and neck squamous cell carcinoma and bladder cancer.
Shafi S, Aung T, Xirou V, Gavrielatou N, Vathiotis I, Fernandez A, Moutafi M, Yaghoobi V, Herbst R, Liu L, Langermann S, Rimm D. Quantitative assessment of Siglec-15 expression in lung, breast, head, and neck squamous cell carcinoma and bladder cancer. Laboratory Investigation 2022, 102: 1143-1149. PMID: 36775354, DOI: 10.1038/s41374-022-00796-6.Peer-Reviewed Original ResearchConceptsSiglec-15 expressionNon-small cell lung cancerNeck squamous cell carcinomaProgression-free survivalSquamous cell carcinomaCancer typesOverall survivalCell carcinomaBladder cancerImmune cellsSiglec-15PD-1/PD-L1 blockadePotential future clinical trialsQuantitative immunofluorescencePD-L1 blockadeStromal immune cellsImmune checkpoint blockadeCell lung cancerFuture clinical trialsNew potential targetsCheckpoint blockadePD-L1Lung cancerClinical trialsIntra-tumoral heterogeneityClinical outcomes and immune markers by race in a phase I/II clinical trial of durvalumab concomitant with neoadjuvant chemotherapy in early-stage TNBC.
Foldi J, Kahn A, Silber A, Qing T, Reisenbichler E, Fischbach N, Persico J, Adelson K, Katoch A, Chagpar A, Park T, Blanchard A, Blenman K, Rimm D, Pusztai L. Clinical outcomes and immune markers by race in a phase I/II clinical trial of durvalumab concomitant with neoadjuvant chemotherapy in early-stage TNBC. Journal Of Clinical Oncology 2022, 40: 516-516. DOI: 10.1200/jco.2022.40.16_suppl.516.Peer-Reviewed Original ResearchImmune-related adverse eventsTriple-negative breast cancerMultivariate logistic regression analysisPD-L1 statusLogistic regression analysisAA raceOverall survivalPathologic responseClinical trialsBreast cancerEarly-stage triple-negative breast cancerIncidence of irAEsPhase I/II trialPathologic complete response rateSignificant associationPhase I/II clinical trialsBaseline body mass indexSafety of immunotherapyWeekly nab-paclitaxelCharlson Comorbidity IndexComplete response ratePrimary efficacy endpointPD-L1 expressionBody mass indexBreast cancer recurrenceDevelopment of an immunohistochemical assay for Siglec-15
Shafi S, Aung TN, Robbins C, Zugazagoitia J, Vathiotis I, Gavrielatou N, Yaghoobi V, Fernandez A, Niu S, Liu LN, Cusumano ZT, Leelatian N, Cole K, Wang H, Homer R, Herbst RS, Langermann S, Rimm DL. Development of an immunohistochemical assay for Siglec-15. Laboratory Investigation 2022, 102: 771-778. PMID: 35459795, PMCID: PMC9253057, DOI: 10.1038/s41374-022-00785-9.Peer-Reviewed Original ResearchConceptsSiglec-15IHC assaysPD-L1PD-1/PD-L1 inhibitionPD-L1 blockadePD-L1 inhibitionHigh expressionFuture clinical trialsImmunoglobulin-type lectinsSiglec-15 expressionCompanion diagnostic assayPromising new targetTumor histologyImmunotherapeutic targetLung cancerImmune cellsClinical trialsNovel recombinant antibodiesCancer histologyImmunohistochemical assaysMyeloid cellsTumor typesScoring systemNew targetsHigh concordanceExamination of Low ERBB2 Protein Expression in Breast Cancer Tissue
Fernandez AI, Liu M, Bellizzi A, Brock J, Fadare O, Hanley K, Harigopal M, Jorns JM, Kuba MG, Ly A, Podoll M, Rabe K, Sanders MA, Singh K, Snir OL, Soong TR, Wei S, Wen H, Wong S, Yoon E, Pusztai L, Reisenbichler E, Rimm DL. Examination of Low ERBB2 Protein Expression in Breast Cancer Tissue. JAMA Oncology 2022, 8: 1-4. PMID: 35113160, PMCID: PMC8814969, DOI: 10.1001/jamaoncol.2021.7239.Peer-Reviewed Original ResearchConceptsBreast cancer biopsiesT-DXdCancer biopsiesLarge randomized clinical trialsRandomized clinical trialsERBB2 protein expressionCentral pathology laboratoryBreast cancer tissuesAmerican Pathologists surveysStudy of concordanceTrastuzumab deruxtecanERBB2 positivityPatient populationClinical trialsScore 0Breast cancerImmunohistochemistry scoreCancer tissuesIHC assaysPatientsPathology laboratoryProtein expressionBiopsyIHCConcordance
2021
Alpha-smooth muscle actin expression in the stroma predicts resistance to trastuzumab in patients with early-stage HER2-positive breast cancer
Vathiotis IA, Moutafi MK, Divakar P, Aung TN, Qing T, Fernandez A, Yaghoobi V, El-Abed S, Wang Y, Guillaume S, Nuciforo P, Huober J, Di Cosimo S, Kim SB, Harbeck N, Gomez H, Shafi S, Syrigos KN, Fountzilas G, Sotiriou C, Pusztai L, Warren S, Rimm DL. Alpha-smooth muscle actin expression in the stroma predicts resistance to trastuzumab in patients with early-stage HER2-positive breast cancer. Clinical Cancer Research 2021, 27: 6156-6163. PMID: 34465600, PMCID: PMC8595766, DOI: 10.1158/1078-0432.ccr-21-2103.Peer-Reviewed Original ResearchConceptsDisease-free survivalHER2-positive breast cancerShorter disease-free survivalBreast cancerQuantitative immunofluorescenceEarly-stage HER2-positive breast cancerAlpha-smooth muscle actin expressionAlpha-smooth muscle actinProgesterone receptor statusHigh α-SMA expressionDigital Spatial ProfilerΑ-SMA expressionPromising candidate biomarkerCompanion diagnostic testsMuscle actin expressionDigital spatial profilingCohort validationNeoadjuvant lapatinibAdjuvant trastuzumabReceptor statusClinical trialsUnivariate analysisEstrogen receptorMAIN OUTCOMEΑ-SMAAutomated digital TIL analysis (ADTA) adds prognostic value to standard assessment of depth and ulceration in primary melanoma
Moore MR, Friesner ID, Rizk EM, Fullerton BT, Mondal M, Trager MH, Mendelson K, Chikeka I, Kurc T, Gupta R, Rohr BR, Robinson EJ, Acs B, Chang R, Kluger H, Taback B, Geskin LJ, Horst B, Gardner K, Niedt G, Celebi JT, Gartrell-Corrado RD, Messina J, Ferringer T, Rimm DL, Saltz J, Wang J, Vanguri R, Saenger YM. Automated digital TIL analysis (ADTA) adds prognostic value to standard assessment of depth and ulceration in primary melanoma. Scientific Reports 2021, 11: 2809. PMID: 33531581, PMCID: PMC7854647, DOI: 10.1038/s41598-021-82305-1.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBiopsyChemotherapy, AdjuvantClinical Decision-MakingDeep LearningFemaleFollow-Up StudiesHumansImage Processing, Computer-AssistedKaplan-Meier EstimateLymphocytes, Tumor-InfiltratingMaleMelanomaMiddle AgedNeoplasm StagingPatient SelectionPrognosisRetrospective StudiesRisk AssessmentROC CurveSkinSkin NeoplasmsYoung AdultConceptsTumor-infiltrating lymphocytesDisease-specific survivalEarly-stage melanomaOpen-source deep learningCutoff valueMultivariable Cox proportional hazards analysisCox proportional hazards analysisDeep learningLow-risk patientsProportional hazards analysisKaplan-Meier analysisAccurate prognostic biomarkersEosin imagesAccuracy of predictionAdjuvant therapyRisk patientsSpecific survivalPrognostic valueValidation cohortReceiver operating curvesTraining cohortTIL analysisClinical trialsPrimary melanomaPrognostic biomarker
2020
PD-L1 Protein Expression on Both Tumor Cells and Macrophages are Associated with Response to Neoadjuvant Durvalumab with Chemotherapy in Triple-negative Breast Cancer
Ahmed FS, Gaule P, McGuire J, Patel K, Blenman K, Pusztai L, Rimm DL. PD-L1 Protein Expression on Both Tumor Cells and Macrophages are Associated with Response to Neoadjuvant Durvalumab with Chemotherapy in Triple-negative Breast Cancer. Clinical Cancer Research 2020, 26: 5456-5461. PMID: 32709714, PMCID: PMC7572612, DOI: 10.1158/1078-0432.ccr-20-1303.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntibodies, MonoclonalAntigens, CDAntigens, Differentiation, MyelomonocyticAntineoplastic Combined Chemotherapy ProtocolsB7-H1 AntigenBiomarkers, TumorCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansLymphocytes, Tumor-InfiltratingMacrophagesMiddle AgedNeoadjuvant TherapyProgrammed Cell Death 1 ReceptorTriple Negative Breast NeoplasmsConceptsTriple-negative breast cancerPD-L1 expressionNeoadjuvant durvalumabTumor cellsImmune cellsBreast cancerPretreatment core-needle biopsiesPhase I/II clinical trialsPD-L1 protein expressionIMpassion 130 trialCore needle biopsyAmount of CD68Neoadjuvant settingMetastatic settingPD-L1Clinical trialsNeedle biopsyInsufficient tissuePatientsCD68Stromal compartmentQuantitative immunofluorescenceChemotherapyFinal analysisProtein expressionApplication 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
2019
Quantitative assessment of PD-L1 as an analyte in immunohistochemistry diagnostic assays using a standardized cell line tissue microarray
Martinez-Morilla S, McGuire J, Gaule P, Moore L, Acs B, Cougot D, Gown AM, Yaziji H, Wang WL, Cartun RW, Hornick JL, Sholl LM, Qiu J, Mino-Kenudson M, Yi ES, Beasley MB, Merrick DT, Ambaye AB, Zhang ZJ, Walker J, Rimm DL. Quantitative assessment of PD-L1 as an analyte in immunohistochemistry diagnostic assays using a standardized cell line tissue microarray. Laboratory Investigation 2019, 100: 4-15. PMID: 31409885, PMCID: PMC6920558, DOI: 10.1038/s41374-019-0295-9.Peer-Reviewed Original ResearchConceptsTissue microarrayPD-L1Quantitative immunofluorescencePD-L1 expressionPD-L1 immunohistochemistryMulti-institutional settingRoutine clinical samplesCell linesPredictive markerClinical trialsTumor typesIHC assaysQuantitative digital image analysisImmunohistochemistryCut pointsClinical samplesAntibodiesFDAInter-assay comparisonsDiagnostic assaysIsogenic cell linesAssaysDigital image analysisSubjective assessmentLow levelsAddressing the dichotomy between individual and societal approaches to personalised medicine in oncology
Salgado R, Solit DB, Rimm DL, Bogaerts J, Canetta R, Lively T, Lyerly K, Span PN, Bateman-House A, Makady A, Bergmann L, Nagai S, Smith C, Robson M, Savage M, Voest E, Sweeney C, Lambin P, Thomas M, Harris L, Lacombe D, Massard C, Bernards R, Bogaerts J, Canetta R, Sullivan R, Tejpar S, Lukinova N, Lyerly H, Moore H, Smith M, Yee L, DuBois R, Hahn W, Janne P, Solit D, Willman C, Rimm D, Bateman-House A, Makady A, Bergmann L, Nagai S, Thomas M, Cree I, Hegde P, Hopper S, Smith C, Robson M, Savage M, Voest E, Sweeney C, Ingelman-Sundberg M, Nichols G, Maignen F, Besse B, Swierzewski R, Lambin P, Kiermaier A, Lacombe D, Lively T, Massard C, Caliguri M, Velculescu V, Foggi P, Hahn W, Lukinova N, Salgado R, Golfinopoulos V. Addressing the dichotomy between individual and societal approaches to personalised medicine in oncology. European Journal Of Cancer 2019, 114: 128-136. PMID: 31060925, DOI: 10.1016/j.ejca.2019.03.025.Peer-Reviewed Original ResearchConceptsReal-world evidenceClinical trialsSystemic therapeutic interventionsNovel clinical trialsNovel trial designsCancer clinical researchComprehensive tumor profilingHealth care delivery systemTumor-derived DNAIndividual molecular profileCancer drug developmentGold standard approachPatient tumorsClinical utilityTrial designTherapeutic interventionsTumor profilingPatient advocatesClinical researchMolecular profileDrug developmentTrialsPhysician autonomyDelivery systemPatients
2018
Tumor infiltrating lymphocytes and PD-L1 expression in pre- and post-treatment breast cancers in the SWOG S0800 Phase II neoadjuvant chemotherapy trial
Pelekanou V, Barlow WE, Nahleh Z, Wasserman B, Lo YC, von Wahlde MK, Hayes D, Hortobagyi GN, Gralow J, Tripathy D, Porter P, Szekely B, Hatzis C, Rimm DL, Pusztai L. Tumor infiltrating lymphocytes and PD-L1 expression in pre- and post-treatment breast cancers in the SWOG S0800 Phase II neoadjuvant chemotherapy trial. Molecular Cancer Therapeutics 2018, 17: molcanther.1005.2017. PMID: 29588392, PMCID: PMC6548451, DOI: 10.1158/1535-7163.mct-17-1005.Peer-Reviewed Original ResearchConceptsPD-L1 expressionPathologic complete responseTIL countPosttreatment tissuePD-L1Estrogen receptorImmune checkpoint inhibitor therapyPD-L1 positivity rateTumor-infiltrating lymphocyte countsDoxorubicin/cyclophosphamideCheckpoint inhibitor therapyPD-L1 levelsMol Cancer TherNab-paclitaxelLymphocyte countResidual cancerComplete responseER statusImmune changesInhibitor therapyCox regressionPatient populationControl armClinical trialsPositivity rate
2017
Update on tumor-infiltrating lymphocytes (TILs) in breast cancer, including recommendations to assess TILs in residual disease after neoadjuvant therapy and in carcinoma in situ: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer
Dieci MV, Radosevic-Robin N, Fineberg S, van den Eynden G, Ternes N, Penault-Llorca F, Pruneri G, D’Alfonso T, Demaria S, Castaneda C, Sanchez J, Badve S, Michiels S, Bossuyt V, Rojo F, Singh B, Nielsen T, Viale G, Kim SR, Hewitt S, Wienert S, Loibl S, Rimm D, Symmans F, Denkert C, Adams S, Loi S, Salgado R, Cancer O. Update on tumor-infiltrating lymphocytes (TILs) in breast cancer, including recommendations to assess TILs in residual disease after neoadjuvant therapy and in carcinoma in situ: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer. Seminars In Cancer Biology 2017, 52: 16-25. PMID: 29024776, DOI: 10.1016/j.semcancer.2017.10.003.Peer-Reviewed Original ResearchConceptsTumor-infiltrating lymphocytesBreast cancerResidual diseaseTIL assessmentDuctal carcinomaInternational Immuno-Oncology Biomarker Working GroupBiomarker Working GroupClinical breast cancer researchBreast cancer researchNeoadjuvant chemotherapyNeoadjuvant therapyImmunotherapeutic strategiesImmunological biomarkersInvasive carcinomaClinical trialsClinical relevanceConsensus guidanceInternational guidelinesCarcinomaWorking GroupCancerDiseaseMorphological evaluationLymphocytesCancer researchEffects of neoadjuvant chemotherapy (NAC) on tumor infiltrating lymphocytes (TIL) and PD-L1 expression in the SWOG S0800 clinical trial.
Pelekanou V, Barlow W, von Wahlde M, Wasserman B, Lo Y, Hayes D, Hortobagyi G, Gralow J, Tripathy D, Livingston R, Porter P, Nahleh Z, Rimm D, Pusztai L. Effects of neoadjuvant chemotherapy (NAC) on tumor infiltrating lymphocytes (TIL) and PD-L1 expression in the SWOG S0800 clinical trial. Journal Of Clinical Oncology 2017, 35: 519-519. DOI: 10.1200/jco.2017.35.15_suppl.519.Peer-Reviewed Original ResearchPD-L1 expressionNeoadjuvant chemotherapyNAC armTIL countClinical trialsImmune parametersNAC samplesBaseline PD-L1 expressionPathologic complete response rateDose-dense doxorubicinComplete response ratePD-L1 immunohistochemistryHER2-negative casesMinority of casesNab-paclitaxelResidual diseaseMean changeResponse rateLogistic regressionTILsBaselineEpithelial cellsHigh PCRChemotherapyTumorsQuantitative 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 biopsiesObjective, domain-specific HER2 measurement in uterine and ovarian serous carcinomas and its clinical significance
Carvajal-Hausdorf DE, Schalper KA, Bai Y, Black J, Santin AD, Rimm DL. Objective, domain-specific HER2 measurement in uterine and ovarian serous carcinomas and its clinical significance. Gynecologic Oncology 2017, 145: 154-158. PMID: 28196634, PMCID: PMC5941302, DOI: 10.1016/j.ygyno.2017.02.002.Peer-Reviewed Original ResearchMeSH KeywordsAdo-Trastuzumab EmtansineAfatinibAntibodies, Monoclonal, HumanizedAntineoplastic AgentsCohort StudiesExtracellular SpaceFemaleFluorescent Antibody TechniqueHumansIntracellular SpaceLapatinibMaytansineMiddle AgedNeoplasms, Cystic, Mucinous, and SerousOvarian NeoplasmsProtein DomainsQuinazolinesReceptor, ErbB-2Retrospective StudiesTissue Array AnalysisTrastuzumabUterine NeoplasmsConceptsUterine serous carcinomaOvarian serous carcinomaHER2 intracellular domainSerous carcinomaECD levelsECD statusTissue microarrayHER2 measurementQuantitative immunofluorescenceHER2 overexpression/amplificationClinico-pathologic characteristicsClinico-pathological featuresHER2-targeted agentsIntracellular domainOverexpression/amplificationHER2 extracellular domainExtracellular domainOSC patientsClinical trialsBreast cancerClinical significancePatientsHER2 assaysP95-HER2CarcinomaDifferential Expression and Significance of PD-L1, IDO-1, and B7-H4 in Human Lung Cancer
Schalper KA, Carvajal-Hausdorf D, McLaughlin J, Altan M, Velcheti V, Gaule P, Sanmamed MF, Chen L, Herbst RS, Rimm DL. Differential Expression and Significance of PD-L1, IDO-1, and B7-H4 in Human Lung Cancer. Clinical Cancer Research 2017, 23: 370-378. PMID: 27440266, PMCID: PMC6350535, DOI: 10.1158/1078-0432.ccr-16-0150.Peer-Reviewed Original ResearchMeSH KeywordsA549 CellsAgedB7-H1 AntigenBiomarkers, TumorCarcinoma, Non-Small-Cell LungDisease-Free SurvivalDrug Resistance, NeoplasmGene Expression Regulation, NeoplasticHumansIndoleamine-Pyrrole 2,3,-DioxygenaseInterferon-gammaInterleukin-10Lymphocytes, Tumor-InfiltratingMiddle AgedNeoplasm StagingRNA, MessengerV-Set Domain-Containing T-Cell Activation Inhibitor 1ConceptsNon-small cell lung cancerB7-H4PD-L1IDO-1Lung cancerLung carcinomaQuantitative immunofluorescenceIFNγ stimulationElevated PD-L1Major clinicopathologic variablesMultiplexed quantitative immunofluorescenceOptimal clinical trialsT-cell infiltratesCell lung cancerImmune evasion pathwaysHuman lung carcinomaLung adenocarcinoma A549Cancer Genome AtlasClinicopathologic variablesMarker levelsClinical trialsStage ITherapeutic resistanceTCGA datasetA549 cells
2016
Standardized evaluation of tumor-infiltrating lymphocytes in breast cancer: results of the ring studies of the international immuno-oncology biomarker working group
Denkert C, Wienert S, Poterie A, Loibl S, Budczies J, Badve S, Bago-Horvath Z, Bane A, Bedri S, Brock J, Chmielik E, Christgen M, Colpaert C, Demaria S, Van den Eynden G, Floris G, Fox SB, Gao D, Ingold Heppner B, Kim SR, Kos Z, Kreipe HH, Lakhani SR, Penault-Llorca F, Pruneri G, Radosevic-Robin N, Rimm DL, Schnitt SJ, Sinn BV, Sinn P, Sirtaine N, O'Toole SA, Viale G, Van de Vijver K, de Wind R, von Minckwitz G, Klauschen F, Untch M, Fasching PA, Reimer T, Willard-Gallo K, Michiels S, Loi S, Salgado R. Standardized evaluation of tumor-infiltrating lymphocytes in breast cancer: results of the ring studies of the international immuno-oncology biomarker working group. Modern Pathology 2016, 29: 1155-1164. PMID: 27363491, DOI: 10.1038/modpathol.2016.109.Peer-Reviewed Original ResearchConceptsTumor-infiltrating lymphocytesEvaluation of TILsIntraclass correlation coefficientBreast cancerInternational Immuno-Oncology Biomarker Working GroupImmune checkpoint inhibitor therapyBiomarker Working GroupImmuno-oncology biomarkersDiagnostic practiceKappa valuesInhibitor therapyInternational Working GroupImmunological parametersClinical trialsClinical studiesFleiss kappa valuePrespecified endpointsStudy aimWorking GroupMean concordanceStandardized reportingCancerRing studiesStandardized evaluationDifferent pathologistsPD-L1 Expression in Lung Cancer
Yu H, Boyle TA, Zhou C, Rimm D, Hirsch FR. PD-L1 Expression in Lung Cancer. Journal Of Thoracic Oncology 2016, 11: 964-975. PMID: 27117833, PMCID: PMC5353357, DOI: 10.1016/j.jtho.2016.04.014.Peer-Reviewed Original ResearchConceptsPD-L1Lung cancerAnti-PD-1 drugsDifferent PD-L1 antibodiesPD-L1 protein expressionImmunotherapy clinical trialsAdvanced lung cancerPD-L1 expressionPD-L1 antibodiesSubset of patientsDeath ligand 1PD-L1 detectionBetter patient careClinical trialsPatient careProtein expressionHistory of useImmunohistochemistry platformBiomarkersImmunotherapyLigand 1PatientsCancerExpressionTrials