2024
BCAM (basal cell adhesion molecule) protein expression in different tumor populations
Burela S, He M, Trontzas I, Gavrielatou N, Schalper K, Langermann S, Flies D, Rimm D, Aung T. BCAM (basal cell adhesion molecule) protein expression in different tumor populations. Discover Oncology 2024, 15: 381. PMID: 39207605, PMCID: PMC11362396, DOI: 10.1007/s12672-024-01244-1.Peer-Reviewed Original ResearchPD-L1 expressionBasal cell adhesion moleculePD-L1Quantitative immunofluorescenceAssociated with better OSPD-L1 protein expressionCancer typesBladder urothelial tumorsProtein expressionMultiple immune checkpointsHead and neckMultiple tumor typesEvidence of hypermethylationImmune checkpointsImmunotherapy responseCell adhesion moleculesTumor typesValidation cohortTumor populationCancer patientsTumorPredictive valueAdhesion moleculesNovel biomarkersWidespread expression
2022
Development 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 concordance
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 levelsComparison of Biomarker Modalities for Predicting Response to PD-1/PD-L1 Checkpoint Blockade
Lu S, Stein JE, Rimm DL, Wang DW, Bell JM, Johnson DB, Sosman JA, Schalper KA, Anders RA, Wang H, Hoyt C, Pardoll DM, Danilova L, Taube JM. Comparison of Biomarker Modalities for Predicting Response to PD-1/PD-L1 Checkpoint Blockade. JAMA Oncology 2019, 5: 1195-1204. PMID: 31318407, PMCID: PMC6646995, DOI: 10.1001/jamaoncol.2019.1549.Peer-Reviewed Original ResearchAnti-PD-1/PD-L1 therapyPD-L1 immunohistochemistryTumor mutational burdenPD-L1 therapyGene expression profilingMutational burdenAnti-PD-1/PD-L1 treatmentPD-1/PD-L1 checkpoint blockadeAnti-PD-1/PD-L1Tumor typesPD-L1 checkpoint blockadeDifferent solid tumor typesPD-L1 treatmentPretreatment tumor tissueImmunotherapy of cancerDrug Administration approvalSearch of PubMedMeta-Analyses (PRISMA) guidelinesSolid tumor typesNegative predictive valuePreferred Reporting ItemsAnnual meeting abstractsNegative likelihood ratioRelative diagnostic performanceCheckpoint blockade
2017
Implications of the tumor immune microenvironment for staging and therapeutics
Taube JM, Galon J, Sholl LM, Rodig SJ, Cottrell TR, Giraldo NA, Baras AS, Patel SS, Anders RA, Rimm DL, Cimino-Mathews A. Implications of the tumor immune microenvironment for staging and therapeutics. Modern Pathology 2017, 31: 214-234. PMID: 29192647, PMCID: PMC6132263, DOI: 10.1038/modpathol.2017.156.Peer-Reviewed Original ResearchConceptsTumor immune microenvironmentImmune microenvironmentTumor typesTumor microenvironmentAnti-PD-1/PD-L1Therapeutic targetPD-1/PD-L1 axisFirst line treatment algorithmHost antitumor immune responseEarly stage colorectal carcinomaLocal immune contextureImmune checkpoint inhibitorsPD-L1 axisAntitumor immune responseImmune-based therapiesPD-L1 antibodiesAbundance of CD8Th1 helper cellsNovel therapeutic targetPotential therapeutic targetPrimary organ siteNew candidate biomarkersNumerous tumor typesSpecific tumor typesCurrent TNMAssessing Tumor-Infiltrating Lymphocytes in Solid Tumors
Hendry S, Salgado R, Gevaert T, Russell PA, John T, Thapa B, Christie M, van de Vijver K, Estrada MV, Gonzalez-Ericsson PI, Sanders M, Solomon B, Solinas C, Van den Eynden GGGM, Allory Y, Preusser M, Hainfellner J, Pruneri G, Vingiani A, Demaria S, Symmans F, Nuciforo P, Comerma L, Thompson EA, Lakhani S, Kim SR, Schnitt S, Colpaert C, Sotiriou C, Scherer SJ, Ignatiadis M, Badve S, Pierce RH, Viale G, Sirtaine N, Penault-Llorca F, Sugie T, Fineberg S, Paik S, Srinivasan A, Richardson A, Wang Y, Chmielik E, Brock J, Johnson DB, Balko J, Wienert S, Bossuyt V, Michiels S, Ternes N, Burchardi N, Luen SJ, Savas P, Klauschen F, Watson PH, Nelson BH, Criscitiello C, O’Toole S, Larsimont D, de Wind R, Curigliano G, André F, Lacroix-Triki M, van de Vijver M, Rojo F, Floris G, Bedri S, Sparano J, Rimm D, Nielsen T, Kos Z, Hewitt S, Singh B, Farshid G, Loibl S, Allison KH, Tung N, Adams S, Willard-Gallo K, Horlings HM, Gandhi L, Moreira A, Hirsch F, Dieci MV, Urbanowicz M, Brcic I, Korski K, Gaire F, Koeppen H, Lo A, Giltnane J, Rebelatto MC, Steele KE, Zha J, Emancipator K, Juco JW, Denkert C, Reis-Filho J, Loi S, Fox SB. Assessing Tumor-Infiltrating Lymphocytes in Solid Tumors. Advances In Anatomic Pathology 2017, 24: 311-335. PMID: 28777143, PMCID: PMC5638696, DOI: 10.1097/pap.0000000000000161.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkers, TumorBiopsyBrain NeoplasmsCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellEndometrial NeoplasmsFemaleGastrointestinal NeoplasmsHead and Neck NeoplasmsHumansImmunohistochemistryLung NeoplasmsLymphocytes, Tumor-InfiltratingMelanomaMesotheliomaOvarian NeoplasmsPathologyPhenotypePredictive Value of TestsSkin NeoplasmsSquamous Cell Carcinoma of Head and NeckUrogenital NeoplasmsConceptsTumor-infiltrating lymphocytesDifferent tumor typesSolid tumorsTumor typesTIL assessmentImmune responsePrimary brain tumorsCommon solid tumorsInvasive breast carcinomaRoutine clinical biomarkersWorking Group guidelinesPrognostic implicationsBreast carcinomaGroup guidelinesGynecologic systemGastrointestinal tractSimple biomarkerBrain tumorsGenitourinary systemPredictive valueClinical biomarkersStandardized methodologyTumorsAvailable evidenceImmunotherapyAssessing Tumor-infiltrating Lymphocytes in Solid Tumors
Hendry S, Salgado R, Gevaert T, Russell PA, John T, Thapa B, Christie M, van de Vijver K, Estrada MV, Gonzalez-Ericsson PI, Sanders M, Solomon B, Solinas C, Van den Eynden GGGM, Allory Y, Preusser M, Hainfellner J, Pruneri G, Vingiani A, Demaria S, Symmans F, Nuciforo P, Comerma L, Thompson EA, Lakhani S, Kim SR, Schnitt S, Colpaert C, Sotiriou C, Scherer SJ, Ignatiadis M, Badve S, Pierce RH, Viale G, Sirtaine N, Penault-Llorca F, Sugie T, Fineberg S, Paik S, Srinivasan A, Richardson A, Wang Y, Chmielik E, Brock J, Johnson DB, Balko J, Wienert S, Bossuyt V, Michiels S, Ternes N, Burchardi N, Luen SJ, Savas P, Klauschen F, Watson PH, Nelson BH, Criscitiello C, O’Toole S, Larsimont D, de Wind R, Curigliano G, André F, Lacroix-Triki M, van de Vijver M, Rojo F, Floris G, Bedri S, Sparano J, Rimm D, Nielsen T, Kos Z, Hewitt S, Singh B, Farshid G, Loibl S, Allison KH, Tung N, Adams S, Willard-Gallo K, Horlings HM, Gandhi L, Moreira A, Hirsch F, Dieci MV, Urbanowicz M, Brcic I, Korski K, Gaire F, Koeppen H, Lo A, Giltnane J, Rebelatto MC, Steele KE, Zha J, Emancipator K, Juco JW, Denkert C, Reis-Filho J, Loi S, Fox SB. Assessing Tumor-infiltrating Lymphocytes in Solid Tumors. Advances In Anatomic Pathology 2017, 24: 235-251. PMID: 28777142, PMCID: PMC5564448, DOI: 10.1097/pap.0000000000000162.Peer-Reviewed Original ResearchConceptsTumor-infiltrating lymphocytesTIL assessmentInvasive breast carcinomaSolid tumor typesBreast carcinomaSolid tumorsTumor typesDifferent solid tumor typesForm of immunotherapyImmune checkpoint inhibitorsEra of immunotherapyImportant prognostic informationRoutine clinical biomarkersHost immune responseWorking Group guidelinesDiverse solid tumor typesCheckpoint inhibitorsMetastatic settingPrognostic informationGroup guidelinesImmune responseEosin sectionsHistopathologic specimensClinical validityPredictive significancePD-L1 Studies Across Tumor Types, Its Differential Expression and Predictive Value in Patients Treated with Immune Checkpoint Inhibitors
Kluger HM, Zito CR, Turcu G, Baine M, Zhang H, Adeniran A, Sznol M, Rimm DL, Kluger Y, Chen L, Cohen JV, Jilaveanu LB. PD-L1 Studies Across Tumor Types, Its Differential Expression and Predictive Value in Patients Treated with Immune Checkpoint Inhibitors. Clinical Cancer Research 2017, 23: 4270-4279. PMID: 28223273, PMCID: PMC5540774, DOI: 10.1158/1078-0432.ccr-16-3146.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerPD-L1 expressionRenal cell carcinomaPD-1 inhibitorsCell carcinomaImmune-infiltrating cellsMelanoma patientsPD-L1Tumor cellsTumor typesTumor-associated inflammatory cellsCTLA-4 inhibitorsCell lung cancerRenal cell carcinoma cellsHigh response rateClin Cancer ResCell linesMelanoma tumor cellsPD-1Multivariable analysisNSCLC specimensInflammatory cellsLung cancerTissue microarrayResponse rateErbB activation signatures as potential biomarkers for anti-ErbB3 treatment in HNSCC
Alvarado D, Ligon GF, Lillquist JS, Seibel SB, Wallweber G, Neumeister VM, Rimm DL, McMahon G, LaVallee TM. ErbB activation signatures as potential biomarkers for anti-ErbB3 treatment in HNSCC. PLOS ONE 2017, 12: e0181356. PMID: 28723928, PMCID: PMC5517012, DOI: 10.1371/journal.pone.0181356.Peer-Reviewed Original ResearchConceptsNeuregulin-1NRG1 expressionErbB3 activationNeck squamous cell carcinomaSquamous cell carcinomaEnhanced anti-tumor activitySubset of HNSCCUnmet medical needHNSCC cell linesHNSCC patient samplesAnti-tumor activityGrowth factor αLigand neuregulin-1Cell carcinomaEGFR/ErbB familyHNSCC modelsCetuximab treatmentErbB receptor inhibitionReceptor inhibitionReceptor levelsRespective signaling pathwaysSolid tumorsTumor typesHNSCCPotential biomarkers
2013
Sarcomatoid Lung Carcinomas Show High Levels of Programmed Death Ligand-1 (PD-L1)
Velcheti V, Rimm DL, Schalper KA. Sarcomatoid Lung Carcinomas Show High Levels of Programmed Death Ligand-1 (PD-L1). Journal Of Thoracic Oncology 2013, 8: 803-805. PMID: 23676558, PMCID: PMC3703468, DOI: 10.1097/jto.0b013e318292be18.Peer-Reviewed Original ResearchConceptsDeath ligand 1Sarcomatoid carcinomaCell lung carcinomaLung carcinomaPD-L1PD-1/PD-L1 axisPD-1/PD-L1 pathwayProgrammed Death Ligand 1PD-L1 protein expressionEffector immune responsesPD-L1 axisPD-L1 pathwayLung sarcomatoid carcinomaLung cancer cohortSarcomatoid lung carcinomasLigand 1Mouse monoclonal antibodyDeath-1Lymphocytic infiltrationRare subtypeSuch therapyCancer cohortT cellsCarcinomaTumor types
2005
Translational Crossroads for Biomarkers
Bast RC, Lilja H, Urban N, Rimm DL, Fritsche H, Gray J, Veltri R, Klee G, Allen A, Kim N, Gutman S, Rubin MA, Hruszkewycz A. Translational Crossroads for Biomarkers. Clinical Cancer Research 2005, 11: 6103-6108. PMID: 16144908, DOI: 10.1158/1078-0432.ccr-04-2213.Peer-Reviewed Original ResearchConceptsNational Cancer InstituteBiomarker developmentCancer InstituteClinical needAccurate pretreatment stagingUseful laboratory testPrediction of responsePretreatment stagingCancer careDisease progressionOvarian cancerProstate cancerBreast cancerGroups of investigatorsEarly cancer detectionDrug AdministrationTumor typesPromising markerTissue specimensClinical paradigmSpecific markersBiomarkersCancerMultiple biomarkersNew markers