2023
Multiplex 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 sectionsMulti-Institutional Study of Pathologist Reading of the Programmed Cell Death Ligand-1 Combined Positive Score Immunohistochemistry Assay for Gastric or Gastroesophageal Junction Cancer
Fernandez A, Robbins C, Gaule P, Agostini-Vulaj D, Anders R, Bellizzi A, Chen W, Chen Z, Gopal P, Zhao L, Lisovsky M, Liu X, Shia J, Wang H, Yang Z, McCann L, Chan Y, Weidler J, Bates M, Zhang X, Rimm D. Multi-Institutional Study of Pathologist Reading of the Programmed Cell Death Ligand-1 Combined Positive Score Immunohistochemistry Assay for Gastric or Gastroesophageal Junction Cancer. Modern Pathology 2023, 36: 100128. PMID: 36889057, PMCID: PMC10198879, DOI: 10.1016/j.modpat.2023.100128.Peer-Reviewed Original ResearchConceptsOverall percent agreementCut pointsReal-world settingHigher cut pointsCell death ligand 1Percent agreementGastroesophageal junction cancerPD-L1 immunohistochemistryDeath ligand 1Companion diagnostic testsMessenger RNA measurementsJunction cancerCancer casesImmunohistochemistry assaysIHC resultsDrug AdministrationPredictive valueScoring systemRange of assaysDiagnostic testsInstitutional studyRNA measurementsImmunohistochemistryPoor specificityPathologist's reading
2021
Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer
Farahmand S, Fernandez AI, Ahmed FS, Rimm DL, Chuang JH, Reisenbichler E, Zarringhalam K. Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer. Modern Pathology 2021, 35: 44-51. PMID: 34493825, PMCID: PMC10221954, DOI: 10.1038/s41379-021-00911-w.Peer-Reviewed Original ResearchConceptsHER2 statusBreast cancerTreatment responseHER2-positive breast cancerAnti-HER2 agentsPre-treatment samplesNeoadjuvant chemotherapyTrastuzumab therapyClinical outcomesClinical evaluationProtein immunohistochemistryHER2 amplificationTrastuzumab responseTumor stainTreatment selectionTCGA testPathology teamTumor regionCancer featuresCancerPatientsHER2Current standardImmunohistochemistryHematoxylin
2020
Antibody validation for protein expression on tissue slides: a protocol for immunohistochemistry
MacNeil T, Vathiotis IA, Martinez-Morilla S, Yaghoobi V, Zugazagoitia J, Liu Y, Rimm DL. Antibody validation for protein expression on tissue slides: a protocol for immunohistochemistry. BioTechniques 2020, 69: 460-468. PMID: 32852223, PMCID: PMC7807291, DOI: 10.2144/btn-2020-0095.Peer-Reviewed Original ResearchThe Society for Immunotherapy of Cancer statement on best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) staining and validation
Taube JM, Akturk G, Angelo M, Engle EL, Gnjatic S, Greenbaum S, Greenwald NF, Hedvat CV, Hollmann TJ, Juco J, Parra ER, Rebelatto MC, Rimm DL, Rodriguez-Canales J, Schalper KA, Stack EC, Ferreira CS, Korski K, Lako A, Rodig SJ, Schenck E, Steele KE, Surace MJ, Tetzlaff MT, von Loga K, Wistuba II, Bifulco CB, . The Society for Immunotherapy of Cancer statement on best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) staining and validation. Journal For ImmunoTherapy Of Cancer 2020, 8: e000155. PMID: 32414858, PMCID: PMC7239569, DOI: 10.1136/jitc-2019-000155.Peer-Reviewed Original ResearchConceptsMultiplex immunohistochemistryImmune cell subsetsImmunotherapy of cancerRoutine clinical practiceMultiplex immunofluorescence analysisDigital spatial profilingMIF assayTask ForceTreatment of cancerCell subsetsPractice guidelinesBest practice guidelinesAcademic centersClinical practiceImmune systemTumor microenvironmentImmunohistochemistryTumor cellsBiomarker studiesCancer statementsChromogenic immunohistochemistryImmunotherapyImmunofluorescence analysisConsecutive stainingCancerDigital quantitative assessment of PD-L1 using digital spatial profiling
Gupta S, Zugazagoitia J, Martinez-Morilla S, Fuhrman K, Rimm DL. Digital quantitative assessment of PD-L1 using digital spatial profiling. Laboratory Investigation 2020, 100: 1311-1317. PMID: 32249818, PMCID: PMC7502436, DOI: 10.1038/s41374-020-0424-5.Peer-Reviewed Original ResearchConceptsTissue microarrayPD-L1Digital spatial profilingDeath 1 ligand 1 expressionPD-L1 immunohistochemistry assaysDigital quantitative assessmentDigital Spatial ProfilerLigand 1 expressionPD-L1 assaysCompanion diagnostic testingCell linesImmune therapyPredictive markerImmune cellsImmunohistochemistry assaysQuantitative immunohistochemistryUS FoodDrug AdministrationDiagnostic testingImmunohistochemistryNCounter platformTumor cellsDifferent scoring methodsMultiple studiesDifferent antibodies
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 levels
2014
Next-gen immunohistochemistry
Rimm DL. Next-gen immunohistochemistry. Nature Methods 2014, 11: 381-383. PMID: 24681723, DOI: 10.1038/nmeth.2896.Peer-Reviewed Original Research
2010
Pre-analytic variables and phospho-specific antibodies: the Achilles heel of immunohistochemistry
Siddiqui S, Rimm DL. Pre-analytic variables and phospho-specific antibodies: the Achilles heel of immunohistochemistry. Breast Cancer Research 2010, 12: 113. PMID: 21176180, PMCID: PMC3046444, DOI: 10.1186/bcr2782.Peer-Reviewed Original ResearchConceptsCold ischemic timePre-analytic variablesIschemic timeCore needle biopsyCompanion diagnostic testingCompanion diagnostic testsBreast cancer researchProgesterone receptorNeedle biopsyBreast cancerEstrogen receptorCritical therapyDiagnostic testingDiagnostic testsClassic markersImmunohistochemistryCancer researchPhospho-specific antibodiesReceptorsMarkersAchilles heelAntibody validation
Bordeaux J, Welsh A, Agarwal S, Killiam E, Baquero M, Hanna J, Anagnostou V, Rimm D. Antibody validation. BioTechniques 2010, 48: 197-209. PMID: 20359301, PMCID: PMC3891910, DOI: 10.2144/000113382.Peer-Reviewed Original Research
2002
Subjective Differences in Outcome Are Seen as a Function of the Immunohistochemical Method Used on a Colorectal Cancer Tissue Microarray
Chung GG, Kielhorn EP, Rimm DL. Subjective Differences in Outcome Are Seen as a Function of the Immunohistochemical Method Used on a Colorectal Cancer Tissue Microarray. Clinical Colorectal Cancer 2002, 1: 237-242. PMID: 12450422, DOI: 10.3816/ccc.2002.n.005.Peer-Reviewed Original ResearchConceptsTissue microarrayTissue sectionsColorectal cancer tissue microarraySemiquantitative grading systemColorectal cancer specimensCancer tissue microarrayPatient outcomesLarge cohortSubjective assessmentCancer specimensImmunohistochemical methodsGrading systemNuclear stainingPathology literatureProtein expressionTissue samplesCell preparationsExpression levelsBeta-catenin antibodyCurrent standardImmunohistochemistryCohortOutcomesApparent increaseExpression