2024
High-Plex Assessment of Biomarkers in Tumors
Aung T, Bates K, Rimm D. High-Plex Assessment of Biomarkers in Tumors. Modern Pathology 2024, 37: 100425. PMID: 38219953, DOI: 10.1016/j.modpat.2024.100425.Peer-Reviewed Original Research
2021
PD-L1 as a biomarker of response to immune-checkpoint inhibitors
Doroshow DB, Bhalla S, Beasley MB, Sholl LM, Kerr KM, Gnjatic S, Wistuba II, Rimm DL, Tsao MS, Hirsch FR. PD-L1 as a biomarker of response to immune-checkpoint inhibitors. Nature Reviews Clinical Oncology 2021, 18: 345-362. PMID: 33580222, DOI: 10.1038/s41571-021-00473-5.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsSelection of patientsPD-L1L1 antibodyImmunohistochemistry assaysPD-L1 immunohistochemistry assaysOutcomes of patientsBiomarkers of responseCompanion diagnostic assayTypes of cancerPD-1Clinical outcomesSelection biomarkerProspective comparisonClinical challengeNew therapiesFuture treatmentPatientsSolid tumorsClinical useSpecific agentsInter-assay variabilityBiomarkersCurrent roleDiagnostic assays
2020
Application 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 assessmentReviewCancerBiomarkers in Precision Cancer Immunotherapy: Promise and Challenges.
McKean WB, Moser JC, Rimm D, Hu-Lieskovan S. Biomarkers in Precision Cancer Immunotherapy: Promise and Challenges. American Society Of Clinical Oncology Educational Book 2020, 40: e275-e291. PMID: 32453632, DOI: 10.1200/edbk_280571.Peer-Reviewed Original ResearchConceptsHost immune defectsPrecision cancer immunotherapyHealth care burdenCurrent treatment modalitiesSignificant side effectsSustained remissionClinical responseCheckpoint inhibitionImmune defectsRefractory malignanciesCancer immunotherapeuticsClinical benefitPatient survivalCancer immunotherapyPredictive biomarkersTreatment modalitiesCare burdenPatient responseSide effectsTrial designTumor parenchymaClinical useBiomarker developmentBiomarkersMultiple biomarkers
2019
Immunotherapy in Non–Small Cell Lung Cancer: Facts and Hopes
Doroshow DB, Sanmamed MF, Hastings K, Politi K, Rimm DL, Chen L, Melero I, Schalper KA, Herbst RS. Immunotherapy in Non–Small Cell Lung Cancer: Facts and Hopes. Clinical Cancer Research 2019, 25: 4592-4602. PMID: 30824587, PMCID: PMC6679805, DOI: 10.1158/1078-0432.ccr-18-1538.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsNon-small cell lung cancerImmune checkpoint inhibitorsCell lung cancerPD-L1Lung cancerNonsquamous non-small cell lung cancerOngoing translational workPD-1 axisFirst-line therapyPD-L1 expressionProportion of patientsTumor mutational burdenAdvanced diseaseOverall survivalTumor inflammationMutational burdenPatientsNovel markerChemotherapyTherapyIndicative biomarkersCancerTranslational workBiomarkersSurvival
2017
P1.05-017 The Prognostic Impact of EGFR, KRAS and TP53 Somatic Mutations in Curatively Resected Early-Stage Lung Adenocarcinomas Topic: Translational Research and Biomarkers
Rothberg B, Das R, Jackson L, Lazowski H, Bai Y, O'Neill D, Roberts S, Rothberg J, Herbst R, Kim A, Boffa D, Rimm D, Detterbeck F, Tanoue L. P1.05-017 The Prognostic Impact of EGFR, KRAS and TP53 Somatic Mutations in Curatively Resected Early-Stage Lung Adenocarcinomas Topic: Translational Research and Biomarkers. Journal Of Thoracic Oncology 2017, 12: s623-s624. DOI: 10.1016/j.jtho.2016.11.801.Peer-Reviewed Original ResearchP3.02c-067 Validation of PD-L1 Expression on Circulating Tumor Cells in Lung Cancer Topic: IT Biomarkers
Pircher T, Rimm D, Arnold L, Singh V. P3.02c-067 Validation of PD-L1 Expression on Circulating Tumor Cells in Lung Cancer Topic: IT Biomarkers. Journal Of Thoracic Oncology 2017, 12: s1316-s1317. DOI: 10.1016/j.jtho.2016.11.1862.Peer-Reviewed Original Research
2016
PD-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
2015
Loss of antigenicity with tissue age in breast cancer
Combs SE, Han G, Mani N, Beruti S, Nerenberg M, Rimm DL. Loss of antigenicity with tissue age in breast cancer. Laboratory Investigation 2015, 96: 264-269. PMID: 26568292, DOI: 10.1038/labinvest.2015.138.Peer-Reviewed Original ResearchConceptsHuman epidermal growth receptor 2Estrogen receptorQuantitative immunofluorescenceProtein expressionSeries of formalinRandom-effects modelHuman breast carcinomaLarge cooperative groupsParaffin-embedded tissuesKi67 expressionBreast carcinomaBreast cancerIndividual patientsTissue microarrayClinical investigationClinical questionsReceptor 2Tumor specimensPositive casesLoss of antigenicityFFPE biospecimensQuantitative protein expressionBiomarkersCooperative groupsPreservation time
2014
Identification of proteomic biomarkers predicting prostate cancer aggressiveness and lethality despite biopsy-sampling error
Shipitsin M, Small C, Choudhury S, Giladi E, Friedlander S, Nardone J, Hussain S, Hurley AD, Ernst C, Huang YE, Chang H, Nifong TP, Rimm DL, Dunyak J, Loda M, Berman DM, Blume-Jensen P. Identification of proteomic biomarkers predicting prostate cancer aggressiveness and lethality despite biopsy-sampling error. British Journal Of Cancer 2014, 111: 1201-1212. PMID: 25032733, PMCID: PMC4453845, DOI: 10.1038/bjc.2014.396.Peer-Reviewed Original ResearchMeSH KeywordsActininAgedAlkyl and Aryl TransferasesArea Under CurveBiomarkers, TumorBiopsy, Fine-NeedleCullin ProteinsDNA-Binding ProteinsFollow-Up StudiesHSP70 Heat-Shock ProteinsHumansImage Processing, Computer-AssistedMaleMembrane ProteinsMiddle AgedMitochondrial ProteinsNeoplasm GradingNeoplasm StagingPhosphorylationProstateProstatic NeoplasmsProteomicsRibosomal Protein S6RNA-Binding Protein FUSROC CurveSelection BiasSmad2 ProteinSmad4 ProteinTissue Array AnalysisVoltage-Dependent Anion Channel 1Y-Box-Binding Protein 1ConceptsProstate cancer aggressivenessCancer aggressivenessLarge patient cohortLow Gleason gradePatient cohortTumor microarrayLethal outcomeProstatectomy samplesGleason gradeSignificant overtreatmentBiopsy interpretationProstatectomy tissuePatient samplesBiopsy testsProteomic biomarkersCancer biomarker discoveryExpert pathologistsMarker signaturesTumor heterogeneityBiomarkersAggressivenessProtein biomarkersBiomarker discoveryQuantitative proteomics approach
2011
Optimal tumor sampling for immunostaining of biomarkers in breast carcinoma
Tolles J, Bai Y, Baquero M, Harris LN, Rimm DL, Molinaro AM. Optimal tumor sampling for immunostaining of biomarkers in breast carcinoma. Breast Cancer Research 2011, 13: r51. PMID: 21592345, PMCID: PMC3218938, DOI: 10.1186/bcr2882.Peer-Reviewed Original ResearchConceptsWhole tissue sectionsBreast carcinomaEstrogen receptorBiomarker expressionTumor biomarker expressionAmount of tumorTissue sectionsEvidence-based standardsHeterogeneous markersTherapeutic responseHER-2Optimal tumorBreast biopsyBreast tumorsClinical implicationsMAP-tauQuantitative immunofluorescenceClinical useLevel of expressionCarcinomaImmunostaining assaysBiomarkersTumorsTissue samplesBiomarker heterogeneity
2008
Quantitative Assessment of Tissue Biomarkers and Construction of a Model to Predict Outcome in Breast Cancer Using Multiple Imputation
Emerson JW, Dolled-Filhart M, Harris L, Rimm DL, Tuck DP. Quantitative Assessment of Tissue Biomarkers and Construction of a Model to Predict Outcome in Breast Cancer Using Multiple Imputation. Cancer Informatics 2008, 7: cin.s911. PMID: 19352457, PMCID: PMC2664700, DOI: 10.4137/cin.s911.Peer-Reviewed Original ResearchLymph node statusProtein expression levelsNode statusBreast cancerBaseline clinical modelCohort of patientsLack of tumorTissue microarray studyLarge independent cohortsExpression levelsMultiple imputationPatient survivalTraining cohortTissue biomarkersIndependent cohortClinical modelSelect markersCohortSimilar improvementsBiomarker analysisCancerClinical annotationProtein markersBiomarkersFuture studiesA Decade of Tissue Microarrays: Progress in the Discovery and Validation of Cancer Biomarkers
Camp RL, Neumeister V, Rimm DL. A Decade of Tissue Microarrays: Progress in the Discovery and Validation of Cancer Biomarkers. Journal Of Clinical Oncology 2008, 26: 5630-5637. PMID: 18936473, DOI: 10.1200/jco.2008.17.3567.Peer-Reviewed Original Research
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
2004
X-TileA New Bio-Informatics Tool for Biomarker Assessment and Outcome-Based Cut-Point Optimization
Camp RL, Dolled-Filhart M, Rimm DL. X-TileA New Bio-Informatics Tool for Biomarker Assessment and Outcome-Based Cut-Point Optimization. Clinical Cancer Research 2004, 10: 7252-7259. PMID: 15534099, DOI: 10.1158/1078-0432.ccr-04-0713.Peer-Reviewed Original Research
2003
JAKs and STATs as Biomarkers of Disease
Dolled-Filhart M, Rimm D. JAKs and STATs as Biomarkers of Disease. 2003, 697-720. DOI: 10.1007/978-94-017-3000-6_44.Peer-Reviewed Original ResearchClinical practice todayPathways of tumorigenesisPrecise disease classificationPrognosticate outcomesClinical trialsDisease progressionDisease outcomeLarge cohortTumor specimensBiomarkers of diseaseSmall studyNew biomarkersPredictive valueBiomarker expressionHuman malignanciesPatient samplesLevel of expressionTherapeutic agentsTumor biomarkersTherapyProtein expressionBiomarkersPatientsOutcomesDisease