Featured Publications
Tissue Age Affects Antigenicity and Scoring for the 22C3 Immunohistochemistry Companion Diagnostic Test
Fernandez A, Gaule P, Rimm D. Tissue Age Affects Antigenicity and Scoring for the 22C3 Immunohistochemistry Companion Diagnostic Test. Modern Pathology 2023, 36: 100159. PMID: 36925070, PMCID: PMC10502188, DOI: 10.1016/j.modpat.2023.100159.Peer-Reviewed Original ResearchConceptsPD-L1 signalTumor proportion scoreTissue microarray cohortCell lung cancerPrevious clinical diagnosisWhole tissue sectionsCompanion diagnostic testsMultiple cancer typesMicroarray cohortTMA cohortLaboratory-developed testsPD-L1NSCLC casesLung cancerProportion scorePositive stainingAntibody 22C3Immunohistochemistry testsClinical diagnosisExtracellular domainCancer typesDiagnostic testsArchival tissueDomain antigenAntibodies
2025
Biological and clinical significance of tumour-infiltrating lymphocytes in the era of immunotherapy: a multidimensional approach
Lopez de Rodas M, Villalba-Esparza M, Sanmamed M, Chen L, Rimm D, Schalper K. Biological and clinical significance of tumour-infiltrating lymphocytes in the era of immunotherapy: a multidimensional approach. Nature Reviews Clinical Oncology 2025, 22: 163-181. PMID: 39820025, DOI: 10.1038/s41571-024-00984-x.Peer-Reviewed Original ResearchConceptsTumor-infiltrating lymphocytesImmune-checkpoint inhibitorsTumor-infiltrating lymphocyte subpopulationsClinical significance of tumor-infiltrating lymphocytesPredictive value of tumor-infiltrating lymphocytesSignificance of tumor-infiltrating lymphocytesStudy of tumor-infiltrating lymphocytesImmune-checkpoint inhibitor therapyImmune-mediated tumor eliminationEra of immunotherapyT cell dysfunctionBiomarkers of responseSolid tumor typesImmunotherapeutic approachesAntigen-reactiveTumor microenvironmentTumor typesClinical outcomesTumor eliminationClinical significanceSingle-cell transcriptomicsPredictive valueAnticancer mechanismClinical implicationsResistance mechanismsSociety for Immunotherapy of Cancer: updates and best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) image analysis and data sharing
Taube J, Sunshine J, Angelo M, Akturk G, Eminizer M, Engle L, Ferreira C, Gnjatic S, Green B, Greenbaum S, Greenwald N, Hedvat C, Hollmann T, Jiménez-Sánchez D, Korski K, Lako A, Parra E, Rebelatto M, Rimm D, Rodig S, Rodriguez-Canales J, Roskes J, Schalper K, Schenck E, Steele K, Surace M, Szalay A, Tetzlaff M, Wistuba I, Yearley J, Bifulco C. Society for Immunotherapy of Cancer: updates and best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) image analysis and data sharing. Journal For ImmunoTherapy Of Cancer 2025, 13: e008875. PMID: 39779210, PMCID: PMC11749220, DOI: 10.1136/jitc-2024-008875.Peer-Reviewed Original ResearchConceptsSociety for ImmunotherapyMultiplex immunohistochemistrySociety for Immunotherapy of CancerImmunotherapy of cancerImmune cell subsetsPractice guidelinesCell subsetsTumor microenvironmentGeneration of robust dataTask ForceComplex immunophenotypeAcademic centersMarker expressionMIHC/IFClinical useClinical implementationImmunohistochemistryQuantitative image analysisImmunofluorescenceDiagnostic companiesRobust dataAssayImage analysisManagement considerationsStaining protocol
2024
High-throughput transcriptome profiling indicates ribosomal RNAs to be associated with resistance to immunotherapy in non-small cell lung cancer (NSCLC)
Moutafi M, Bates K, Aung T, Milian R, Xirou V, Vathiotis I, Gavrielatou N, Angelakis A, Schalper K, Salichos L, Rimm D. High-throughput transcriptome profiling indicates ribosomal RNAs to be associated with resistance to immunotherapy in non-small cell lung cancer (NSCLC). Journal For ImmunoTherapy Of Cancer 2024, 12: e009039. PMID: 38857914, PMCID: PMC11168162, DOI: 10.1136/jitc-2024-009039.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerImmune checkpoint inhibitorsProgrammed cell death protein 1Associated with OSCell lung cancerTissue microarray spotsTissue microarrayValidation cohortLung cancerNon-small cell lung cancer treated with immune checkpoint inhibitorsAssociated with resistance to immunotherapyCell death protein 1Resistance to immunotherapyAssociated with PFSProgression-free survivalSecreted frizzled-related protein 2Cox proportional-hazards model analysisCheckpoint inhibitorsImmunotherapy strategiesTumor compartmentsRetrospective cohortDiscovery cohortLong-term benefitsPatientsCD68An algorithm for standardization of tumor Infiltrating lymphocyte evaluation in head and neck cancers
Xirou V, Moutafi M, Bai Y, Nwe Aung T, Burela S, Liu M, Kimple R, Shabbir Ahmed F, Schultz B, Flieder D, Connolly D, Psyrri A, Burtness B, Rimm D. An algorithm for standardization of tumor Infiltrating lymphocyte evaluation in head and neck cancers. Oral Oncology 2024, 152: 106750. PMID: 38547779, PMCID: PMC11060915, DOI: 10.1016/j.oraloncology.2024.106750.Peer-Reviewed Original ResearchConceptsTumor-infiltrating lymphocytesHead and neck cancerTILs evaluationHPV-positiveNeck cancerPrognostic valueHead and neck squamous cell cancer casesTIL variablesAssociated with favorable prognosisHPV-negative headHPV-negative populationHematoxylin-eosin-stained sectionsCox regression analysisPotential clinical implicationsInter-observer variabilityInfiltrating lymphocytesClinicopathological factorsFavorable prognosisValidation cohortTumor cellsCancer casesProspective settingQuPath softwareRetrospective collectionPredictive significanceDigital spatial proteomic profiling reveals immune checkpoints as biomarkers in lymphoid aggregates and tumor microenvironment of desmoplastic melanoma
Su D, Schoenfeld D, Ibrahim W, Cabrejo R, Djureinovic D, Baumann R, Rimm D, Khan S, Halaban R, Kluger H, Olino K, Galan A, Clune J. Digital spatial proteomic profiling reveals immune checkpoints as biomarkers in lymphoid aggregates and tumor microenvironment of desmoplastic melanoma. Journal For ImmunoTherapy Of Cancer 2024, 12: e008646. PMID: 38519058, PMCID: PMC10961546, DOI: 10.1136/jitc-2023-008646.Peer-Reviewed Original ResearchConceptsCTLA-4 expression levelsCancer-associated fibroblastsAssociated with worse survivalExpression of immune checkpointsLAG-3 expressionDesmoplastic melanomaLymphoid aggregatesCTLA-4PD-1Immune checkpointsIntratumoral leukocytesLAG-3Tumor compartmentsWorse survivalCD20+B cellsIncreased expression of immune checkpointsProgrammed cell death protein 1Macrophage/monocyte markerSentinel lymph node positivityCell death protein 1Associated with poor prognosisLymph node positivityDense fibrous stromaPotential prognostic significanceCore of tumorsImage‐based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno‐oncology Biomarker Working Group on Breast Cancer
Jahangir C, Page D, Broeckx G, Gonzalez C, Burke C, Murphy C, Reis‐Filho J, Ly A, Harms P, Gupta R, Vieth M, Hida A, Kahila M, Kos Z, van Diest P, Verbandt S, Thagaard J, Khiroya R, Abduljabbar K, Haab G, Acs B, Adams S, Almeida J, Alvarado‐Cabrero I, Azmoudeh‐Ardalan F, Badve S, Baharun N, Bellolio E, Bheemaraju V, Blenman K, Fujimoto L, Burgues O, Chardas A, Cheang M, Ciompi F, Cooper L, Coosemans A, Corredor G, Portela F, Deman F, Demaria S, Dudgeon S, Elghazawy M, Fernandez‐Martín C, Fineberg S, Fox S, Giltnane J, Gnjatic S, Gonzalez‐Ericsson P, Grigoriadis A, Halama N, Hanna M, Harbhajanka A, Hart S, Hartman J, Hewitt S, Horlings H, Husain Z, Irshad S, Janssen E, Kataoka T, Kawaguchi K, Khramtsov A, Kiraz U, Kirtani P, Kodach L, Korski K, Akturk G, Scott E, Kovács A, Lænkholm A, Lang‐Schwarz C, Larsimont D, Lennerz J, Lerousseau M, Li X, Madabhushi A, Maley S, Narasimhamurthy V, Marks D, McDonald E, Mehrotra R, Michiels S, Kharidehal D, Minhas F, Mittal S, Moore D, Mushtaq S, Nighat H, Papathomas T, Penault‐Llorca F, Perera R, Pinard C, Pinto‐Cardenas J, Pruneri G, Pusztai L, Rajpoot N, Rapoport B, Rau T, Ribeiro J, Rimm D, Vincent‐Salomon A, Saltz J, Sayed S, Hytopoulos E, Mahon S, Siziopikou K, Sotiriou C, Stenzinger A, Sughayer M, Sur D, Symmans F, Tanaka S, Taxter T, Tejpar S, Teuwen J, Thompson E, Tramm T, Tran W, van der Laak J, Verghese G, Viale G, Wahab N, Walter T, Waumans Y, Wen H, Yang W, Yuan Y, Bartlett J, Loibl S, Denkert C, Savas P, Loi S, Stovgaard E, Salgado R, Gallagher W, Rahman A. Image‐based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno‐oncology Biomarker Working Group on Breast Cancer. The Journal Of Pathology 2024, 262: 271-288. PMID: 38230434, PMCID: PMC11288342, DOI: 10.1002/path.6238.Peer-Reviewed Original ResearchConceptsImmune profileInternational Immuno-Oncology Biomarker Working GroupIdentification of clinically relevant biomarkersField of immuno-oncologyBiomarker Working GroupManagement of cancer patientsImmune profiling of tumorsClinical trial perspectiveTranslational implicationsProfiling of tumorsIndividual tumor cellsPredicting disease prognosisClinically relevant biomarkersSubtypes of cancerImmuno-oncologyTumor microenvironmentMultiplex immunohistochemistryTreatment responseTumor cellsBreast cancerTumor samplesCancer patientsTreatment choiceDisease prognosisRelevant biomarkers
2023
Emerging Prognostic and Predictive Significance of Stress Keratin 17 in HPV-Associated and Non HPV-Associated Human Cancers: A Scoping Review
Lozar T, Wang W, Gavrielatou N, Christensen L, Lambert P, Harari P, Rimm D, Burtness B, Kuhar C, Carchman E. Emerging Prognostic and Predictive Significance of Stress Keratin 17 in HPV-Associated and Non HPV-Associated Human Cancers: A Scoping Review. Viruses 2023, 15: 2320. PMID: 38140561, PMCID: PMC10748233, DOI: 10.3390/v15122320.Peer-Reviewed Original ResearchConceptsSquamous cell carcinomaTriple-negative breast cancerCancer typesPredictive significancePrognostic factorsClinical outcomesPrognostic significanceCell carcinomaHuman cancersCervical squamous cell carcinomaNeck squamous cell carcinomaAvailable clinical evidenceCochrane Central RegisterInferior clinical outcomesPositive prognostic factorNegative predictive factorNegative prognostic factorWeb of ScienceCentral RegisterControlled TrialsCervical cancerClinical evidencePredictive factorsPancreatic cancerEligible studiesDigital spatial profiling of melanoma shows CD95 expression in immune cells is associated with resistance to immunotherapy
Martinez-Morilla S, Moutafi M, Fernandez A, Jessel S, Divakar P, Wong P, Garcia-Milian R, Schalper K, Kluger H, Rimm D. Digital spatial profiling of melanoma shows CD95 expression in immune cells is associated with resistance to immunotherapy. OncoImmunology 2023, 12: 2260618. PMID: 37781235, PMCID: PMC10540659, DOI: 10.1080/2162402x.2023.2260618.Peer-Reviewed Original ResearchConceptsDigital spatial profilingImmune checkpoint inhibitor therapyShorter progression-free survivalQuantitative immunofluorescenceCheckpoint inhibitor therapyProgression-free survivalMetastatic melanoma patientsPre-treatment specimensIndependent validation cohortMetastatic melanoma casesAdjuvant settingNanoString GeoMxMultivariable adjustmentAdverse eventsImmunotherapy cohortInhibitor therapyPD-L1Immune markersMelanoma patientsUnivariable analysisValidation cohortImmune cellsMelanoma casesMultiplex immunofluorescenceCD95 expressionAutomated scoring of tumor-infiltrating lymphocytes informs risk of death from thin melanoma: A nested case-case study
Tan S, Aung T, Claeson M, Acs B, Zhou C, Brown S, Lambie D, Baade P, Pandeya N, Soyer H, Smithers B, Whiteman D, Rimm D, Khosrotehrani K. Automated scoring of tumor-infiltrating lymphocytes informs risk of death from thin melanoma: A nested case-case study. Journal Of The American Academy Of Dermatology 2023, 90: 179-182. PMID: 37730017, DOI: 10.1016/j.jaad.2023.09.026.Peer-Reviewed Original ResearchClassification of Breast Cancer According to ERBB2 Immunohistochemistry Scores
Robbins C, Fernandez A, Rimm D. Classification of Breast Cancer According to ERBB2 Immunohistochemistry Scores. JAMA Oncology 2023, 9: 1298-1299. PMID: 37498606, DOI: 10.1001/jamaoncol.2023.2635.Commentaries, Editorials and LettersPitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer
Thagaard J, Broeckx G, Page D, Jahangir C, Verbandt S, Kos Z, Gupta R, Khiroya R, Abduljabbar K, Haab G, Acs B, Akturk G, Almeida J, Alvarado‐Cabrero I, Amgad M, Azmoudeh‐Ardalan F, Badve S, Baharun N, Balslev E, Bellolio E, Bheemaraju V, Blenman K, Fujimoto L, Bouchmaa N, Burgues O, Chardas A, Cheang M, Ciompi F, Cooper L, Coosemans A, Corredor G, Dahl A, Portela F, Deman F, Demaria S, Hansen J, Dudgeon S, Ebstrup T, Elghazawy M, Fernandez‐Martín C, Fox S, Gallagher W, Giltnane J, Gnjatic S, Gonzalez‐Ericsson P, Grigoriadis A, Halama N, Hanna M, Harbhajanka A, Hart S, Hartman J, Hauberg S, Hewitt S, Hida A, Horlings H, Husain Z, Hytopoulos E, Irshad S, Janssen E, Kahila M, Kataoka T, Kawaguchi K, Kharidehal D, Khramtsov A, Kiraz U, Kirtani P, Kodach L, Korski K, Kovács A, Laenkholm A, Lang‐Schwarz C, Larsimont D, Lennerz J, Lerousseau M, Li X, Ly A, Madabhushi A, Maley S, Narasimhamurthy V, Marks D, McDonald E, Mehrotra R, Michiels S, Minhas F, Mittal S, Moore D, Mushtaq S, Nighat H, Papathomas T, Penault‐Llorca F, Perera R, Pinard C, Pinto‐Cardenas J, Pruneri G, Pusztai L, Rahman A, Rajpoot N, Rapoport B, Rau T, Reis‐Filho J, Ribeiro J, Rimm D, Roslind A, Vincent‐Salomon A, Salto‐Tellez M, Saltz J, Sayed S, Scott E, Siziopikou K, Sotiriou C, Stenzinger A, Sughayer M, Sur D, Fineberg S, Symmans F, Tanaka S, Taxter T, Tejpar S, Teuwen J, Thompson E, Tramm T, Tran W, van der Laak J, van Diest P, Verghese G, Viale G, Vieth M, Wahab N, Walter T, Waumans Y, Wen H, Yang W, Yuan Y, Zin R, Adams S, Bartlett J, Loibl S, Denkert C, Savas P, Loi S, Salgado R, Stovgaard E. Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer. The Journal Of Pathology 2023, 260: 498-513. PMID: 37608772, PMCID: PMC10518802, DOI: 10.1002/path.6155.Peer-Reviewed Original ResearchConceptsTumor-infiltrating lymphocytesTriple-negative breast cancerBreast cancerTIL assessmentHER2-positive breast cancerRoutine clinical managementTIL evaluationTumor-immune interactionsClinical managementDiscordant assessmentsClinical significancePrognostic biomarkerTIL quantificationCancerDaily practicePatientsTrialsTissue patternsAssessmentLymphocytesBiomarkersSpatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer
Page D, Broeckx G, Jahangir C, Verbandt S, Gupta R, Thagaard J, Khiroya R, Kos Z, Abduljabbar K, Haab G, Acs B, Akturk G, Almeida J, Alvarado‐Cabrero I, Azmoudeh‐Ardalan F, Badve S, Baharun N, Bellolio E, Bheemaraju V, Blenman K, Fujimoto L, Bouchmaa N, Burgues O, Cheang M, Ciompi F, Cooper L, Coosemans A, Corredor G, Portela F, Deman F, Demaria S, Dudgeon S, Elghazawy M, Ely S, Fernandez‐Martín C, Fineberg S, Fox S, Gallagher W, Giltnane J, Gnjatic S, Gonzalez‐Ericsson P, Grigoriadis A, Halama N, Hanna M, Harbhajanka A, Hardas A, Hart S, Hartman J, Hewitt S, Hida A, Horlings H, Husain Z, Hytopoulos E, Irshad S, Janssen E, Kahila M, Kataoka T, Kawaguchi K, Kharidehal D, Khramtsov A, Kiraz U, Kirtani P, Kodach L, Korski K, Kovács A, Laenkholm A, Lang‐Schwarz C, Larsimont D, Lennerz J, Lerousseau M, Li X, Ly A, Madabhushi A, Maley S, Narasimhamurthy V, Marks D, McDonald E, Mehrotra R, Michiels S, Minhas F, Mittal S, Moore D, Mushtaq S, Nighat H, Papathomas T, Penault‐Llorca F, Perera R, Pinard C, Pinto‐Cardenas J, Pruneri G, Pusztai L, Rahman A, Rajpoot N, Rapoport B, Rau T, Reis‐Filho J, Ribeiro J, Rimm D, Vincent‐Salomon A, Salto‐Tellez M, Saltz J, Sayed S, Siziopikou K, Sotiriou C, Stenzinger A, Sughayer M, Sur D, Symmans F, Tanaka S, Taxter T, Tejpar S, Teuwen J, Thompson E, Tramm T, Tran W, van der Laak J, van Diest P, Verghese G, Viale G, Vieth M, Wahab N, Walter T, Waumans Y, Wen H, Yang W, Yuan Y, Adams S, Bartlett J, Loibl S, Denkert C, Savas P, Loi S, Salgado R, Stovgaard E. Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer. The Journal Of Pathology 2023, 260: 514-532. PMID: 37608771, PMCID: PMC11288334, DOI: 10.1002/path.6165.Peer-Reviewed Original ResearchImmune dysfunction revealed by digital spatial profiling of immuno-oncology markers in progressive stages of renal cell carcinoma and in brain metastases
Schoenfeld D, Moutafi M, Martinez S, Djureinovic D, Merkin R, Adeniran A, Braun D, Signoretti S, Choueiri T, Parisi F, Hurwitz M, Rimm D, Wei W, Jilaveanu L, Kluger H. Immune dysfunction revealed by digital spatial profiling of immuno-oncology markers in progressive stages of renal cell carcinoma and in brain metastases. Journal For ImmunoTherapy Of Cancer 2023, 11: e007240. PMID: 37586773, PMCID: PMC10432651, DOI: 10.1136/jitc-2023-007240.Peer-Reviewed Original ResearchConceptsRenal cell carcinomaBrain metastasesPrimary tumorTumor microenvironmentDigital spatial profilingCell carcinomaActivation protein expressionInflammatory macrophage markersRCC brain metastasesInnate immune activatorsNormal kidney samplesProgressive stagesExtracranial metastasesTim-3Immune checkpointsImmune dysfunctionImmune activationRCC metastasisLonger survivalImmune activatorsMacrophage markersTreatment responseSeparate cohortTissue microarrayMetastatic samplesPhase II window study of olaparib alone or with cisplatin or durvalumab in operable Head and Neck Cancer
Moutafi M, Koliou G, Papaxoinis G, Economopoulou P, Kotsantis I, Gkotzamanidou M, Anastasiou M, Pectasides D, Kyrodimos E, Delides A, Giotakis E, Papadimitriou N, Panayiotides I, Perisanidis C, Fernandez A, Xirou V, Poulios C, Gagari E, Yaghoobi V, Gavrielatou N, Shafi S, Aung T, Kougioumtzopoulou A, Kouloulias V, Palialexis K, Gkolfinopoulos S, Strati A, Lianidou E, Fountzilas G, Rimm D, Foukas P, Psyrri A. Phase II window study of olaparib alone or with cisplatin or durvalumab in operable Head and Neck Cancer. Cancer Research Communications 2023, 3: 1514-1523. PMID: 37575280, PMCID: PMC10414130, DOI: 10.1158/2767-9764.crc-23-0051.Peer-Reviewed Original ResearchConceptsObjective response rateTumor microenvironmentPD-L1Operable headResponse rateDeath ligand 1 (PD-L1) levelsPathologic complete response ratePhase II window studyNeck squamous cell carcinomaPD-L1 CPSComplete response rateSerious adverse eventsPercentage of patientsInhibitor-based treatmentSquamous cell carcinomaEffective antitumor responseImmunosuppressive tumor microenvironmentInflammatory tumor microenvironmentTumor cell proliferationColony-stimulating factor 1 receptor (CSF1R) genePrimary endpointSecondary endpointsAdverse eventsOpportunity trialAntitumor responseMammalian SWI/SNF chromatin remodeling complexes promote tyrosine kinase inhibitor resistance in EGFR-mutant lung cancer
de Miguel F, Gentile C, Feng W, Silva S, Sankar A, Exposito F, Cai W, Melnick M, Robles-Oteiza C, Hinkley M, Tsai J, Hartley A, Wei J, Wurtz A, Li F, Toki M, Rimm D, Homer R, Wilen C, Xiao A, Qi J, Yan Q, Nguyen D, Jänne P, Kadoch C, Politi K. Mammalian SWI/SNF chromatin remodeling complexes promote tyrosine kinase inhibitor resistance in EGFR-mutant lung cancer. Cancer Cell 2023, 41: 1516-1534.e9. PMID: 37541244, PMCID: PMC10957226, DOI: 10.1016/j.ccell.2023.07.005.Peer-Reviewed Original ResearchConceptsMammalian SWI/SNF chromatinSWI/SNF chromatinMSWI/SNF complexesGenome-wide localizationGene regulatory signaturesNon-genetic mechanismsEpithelial cell differentiationEGFR-mutant cellsChromatin accessibilitySNF complexCellular programsRegulatory signaturesTKI-resistant lung cancerGene targetsKinase inhibitor resistanceCell differentiationMesenchymal transitionTKI resistancePharmacologic disruptionTyrosine kinase inhibitor resistanceCell proliferationChromatinInhibitor resistanceEGFR-mutant lungKinase inhibitorsDeep learning-based scoring of tumour-infiltrating lymphocytes is prognostic in primary melanoma and predictive to PD-1 checkpoint inhibition in melanoma metastases
Chatziioannou E, Roßner J, Aung T, Rimm D, Niessner H, Keim U, Serna-Higuita L, Bonzheim I, Cuellar L, Westphal D, Steininger J, Meier F, Pop O, Forchhammer S, Flatz L, Eigentler T, Garbe C, Röcken M, Amaral T, Sinnberg T. Deep learning-based scoring of tumour-infiltrating lymphocytes is prognostic in primary melanoma and predictive to PD-1 checkpoint inhibition in melanoma metastases. EBioMedicine 2023, 93: 104644. PMID: 37295047, PMCID: PMC10363450, DOI: 10.1016/j.ebiom.2023.104644.Peer-Reviewed Original ResearchConceptsTumor-infiltrating lymphocytesMultiple Cox regressionMelanoma-specific survivalCox regressionTumor thicknessCutaneous melanomaPrimary melanomaAssessment of TILsPD-1 checkpoint inhibitionSignificant unfavourable prognostic factorLonger progression-free survivalDistant metastasis-free survivalSimple Cox regressionUnfavourable survival outcomeFirst-line therapyProgression-free survivalUnfavourable prognostic factorCutaneous melanoma patientsMetastasis-free survivalPresence of ulcerationPrimary cutaneous melanomaCox regression modelPrimary melanoma samplesPrimary tissuesOverall survivalSubsets of IFN Signaling Predict Response to Immune Checkpoint Blockade in Patients with Melanoma.
Horowitch B, Lee D, Ding M, Martinez-Morilla S, Aung T, Ouerghi F, Wang X, Wei W, Damsky W, Sznol M, Kluger H, Rimm D, Ishizuka J. Subsets of IFN Signaling Predict Response to Immune Checkpoint Blockade in Patients with Melanoma. Clinical Cancer Research 2023, 29: 2908-2918. PMID: 37233452, PMCID: PMC10524955, DOI: 10.1158/1078-0432.ccr-23-0215.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsHuman melanoma cell linesMelanoma cell linesPD-L1Validation cohortYale-New Haven HospitalCombination of ipilimumabPD-L1 markersImmune checkpoint blockadePD-L1 biomarkerNew Haven HospitalSTAT1 levelsCell linesWestern blot analysisCheckpoint inhibitorsCheckpoint blockadeClinical responseOverall survivalImproved survivalResistance of cancersMetastatic melanomaMelanoma responsePredict responseTreatment responseDistinct patternsMultiplex Immunohistochemistry and Immunofluorescence: A Practical Update for Pathologists
Harms P, Frankel T, Moutafi M, Rao A, Rimm D, Taube J, Thomas D, Chan M, Pantanowitz L. Multiplex Immunohistochemistry and Immunofluorescence: A Practical Update for Pathologists. Modern Pathology 2023, 36: 100197. PMID: 37105494, DOI: 10.1016/j.modpat.2023.100197.Peer-Reviewed Original ResearchConceptsDigital spatial profilingMost clinical laboratoriesTumor microenvironmentImmunofluorescence/immunohistochemistryImmuno-oncology researchDiagnostic practiceClinical laboratoriesRoutine diagnostic useAntitumor immunityAdvanced cancerImmune populationsMultiplex stainingEosin stainingIHC stainsPractical updateClinical diagnostic practiceMultiplex immunohistochemistrySingle biomarkerImmunohistochemistryMultiplexed immunohistochemistryStandardized protocolChromogenic immunohistochemistryDiagnostic useMultiple biomarkersSerial sectionsAssessment of the Impact of Alternative Fixatives on HER2 Detection in Breast Cancer and Gastric Cancer Tumor Specimens
Feng W, Inoue R, Kuwata T, Niikura N, Fujii S, Kumaki N, Honda K, Xu L, Goetz A, Gaule P, Cogswell J, Rimm D, McGee R. Assessment of the Impact of Alternative Fixatives on HER2 Detection in Breast Cancer and Gastric Cancer Tumor Specimens. Applied Immunohistochemistry & Molecular Morphology 2023, 31: 339-345. PMID: 37093713, PMCID: PMC10155692, DOI: 10.1097/pai.0000000000001126.Peer-Reviewed Original ResearchConceptsNeutral buffered formalinNegative percentage agreementPositive percentage agreementOverall percentage agreementBreast cancerPercentage agreementHER2 statusHuman epidermal growth factor receptor 2 (HER2) statusEpidermal growth factor receptor 2 statusTumor samplesCell linesGastric cancer tumorsGastric cancer cell linesTumor tissue samplesClinical trial sitesCancer cell linesHER2 testingTumor specimensReal-world settingTumor tissueCancer tumorsBuffered formalinSitu hybridization assaysType of fixativeCentral laboratory
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply