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 benefitsPatientsCD68Correlation 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
Stress Keratin 17 Is a Predictive Biomarker Inversely Associated with Response to Immune Check-Point Blockade in Head and Neck Squamous Cell Carcinomas and Beyond
Lozar T, Laklouk I, Golfinos A, Gavrielatou N, Xu J, Flynn C, Keske A, Yu M, Bruce J, Wang W, Kuhar C, Bailey H, Harari P, Dinh H, Rimm D, Hu R, Lambert P, Fitzpatrick M. Stress Keratin 17 Is a Predictive Biomarker Inversely Associated with Response to Immune Check-Point Blockade in Head and Neck Squamous Cell Carcinomas and Beyond. Cancers 2023, 15: 4905. PMID: 37835599, PMCID: PMC10571921, DOI: 10.3390/cancers15194905.Peer-Reviewed Original ResearchImmune check-point blockadeNeck squamous cell carcinomaCheck-point blockadeSquamous cell carcinomaCK17 expressionDisease controlHNSCC patientsCell carcinomaPredictive biomarkersResponse rateKeratin 17Pembrolizumab-based therapyPembrolizumab-treated patientsPD-L1 expressionProgression-free survivalRNA expressionIndependent retrospective cohortsIndependent validation cohortDecreased response rateLow response rateREMARK criteriaOverall survivalProgressive diseaseRetrospective cohortCXCL10 chemokines
2021
Multiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes, Cancer-Associated Fibroblasts, and CD200 in Pancreatic Cancer
MacNeil T, Vathiotis IA, Shafi S, Aung TN, Zugazagoitia J, Gruver AM, Driscoll K, Rimm DL. Multiplex Quantitative Analysis of Tumor-Infiltrating Lymphocytes, Cancer-Associated Fibroblasts, and CD200 in Pancreatic Cancer. Cancers 2021, 13: 5501. PMID: 34771664, PMCID: PMC8583434, DOI: 10.3390/cancers13215501.Peer-Reviewed Original ResearchTumor-infiltrating lymphocytesPancreatic ductal adenocarcinomaCancer-associated fibroblastsImmune checkpoint blockadePancreatic cancerCheckpoint blockadePDAC patientsTumor microenvironmentQuantitative immunofluorescenceExpression levelsProgression-free survivalLarge retrospective cohortMajority of patientsPotential prognostic valueLow tumor immunogenicityPotential clinical utilityDesmoplastic tumor microenvironmentImmunoinhibitory proteinOverall survivalRetrospective cohortIndependent predictorsImmunotherapy drugsPrognostic significancePrognostic valueTumor expression
2019
Quantitative Assessment of CMTM6 in the Tumor Microenvironment and Association with Response to PD-1 Pathway Blockade in Advanced-Stage Non–Small Cell Lung Cancer
Zugazagoitia J, Liu Y, Toki M, McGuire J, Ahmed FS, Henick BS, Gupta R, Gettinger S, Herbst R, Schalper KA, Rimm DL. Quantitative Assessment of CMTM6 in the Tumor Microenvironment and Association with Response to PD-1 Pathway Blockade in Advanced-Stage Non–Small Cell Lung Cancer. Journal Of Thoracic Oncology 2019, 14: 2084-2096. PMID: 31605795, PMCID: PMC6951804, DOI: 10.1016/j.jtho.2019.09.014.Peer-Reviewed Original ResearchConceptsPD-L1CMTM6 expressionPathway blockadeAdvanced stage non-small cell lung cancerNon-small cell lung cancerPD-1 pathway blockadeTumor cellsAbsence of immunotherapyMultiplexed quantitative immunofluorescencePD-L1 coexpressionStromal immune cellsPD-L1 expressionT cell infiltrationLonger overall survivalCell lung cancerIndependent retrospective cohortsKRAS mutational statusExpression of CMTM6MARVEL transmembrane domainNSCLC cohortOverall survivalRetrospective cohortAxis blockadeClinical featuresImmunotherapy outcomes
2013
Pin1 modulates ERα levels in breast cancer through inhibition of phosphorylation-dependent ubiquitination and degradation
Rajbhandari P, Schalper KA, Solodin NM, Ellison-Zelski SJ, Ping Lu K, Rimm DL, Alarid ET. Pin1 modulates ERα levels in breast cancer through inhibition of phosphorylation-dependent ubiquitination and degradation. Oncogene 2013, 33: 1438-1447. PMID: 23542176, PMCID: PMC3815749, DOI: 10.1038/onc.2013.78.Peer-Reviewed Original ResearchConceptsERα protein levelsERα proteinBreast cancerERα-positive breast cancerProtein levelsPotential surrogate markerRetrospective cohortSurrogate markerBreast carcinomaTherapy decisionsERα levelsESR1 levelsERα ubiquitinationCertain tumorsHuman tumorsDiscordant levelsESR1Pin1 levelsReceptor interactionUbiquitin-proteasome pathwayReceptor degradationImportant biomarkerTumorsCancerTransactivation function
2012
Cytoplasmic Estrogen Receptor in Breast Cancer
Welsh AW, Lannin DR, Young GS, Sherman ME, Figueroa JD, Henry NL, Ryden L, Kim C, Love RR, Schiff R, Rimm DL. Cytoplasmic Estrogen Receptor in Breast Cancer. Clinical Cancer Research 2012, 18: 118-126. PMID: 21980134, PMCID: PMC3263348, DOI: 10.1158/1078-0432.ccr-11-1236.Peer-Reviewed Original ResearchConceptsEstrogen receptorCytoplasmic stainingCytoplasmic ERCytoplasmic estrogen receptorSpecific cytoplasmic stainingCell line seriesHuman breast tumorsQuantitative immunofluorescent analysisRoutine clinical valueRetrospective cohortTamoxifen resistanceBreast cancerLower incidencePreclinical modelsClinical valueTissue microarrayPatient controlsBreast tumorsNumber of casesClinical specimensMultiple antibodiesWestern blotAverage incidenceAntibodiesCohort
2011
Standardization of Estrogen Receptor Measurement in Breast Cancer Suggests False-Negative Results Are a Function of Threshold Intensity Rather Than Percentage of Positive Cells
Welsh AW, Moeder CB, Kumar S, Gershkovich P, Alarid ET, Harigopal M, Haffty BG, Rimm DL. Standardization of Estrogen Receptor Measurement in Breast Cancer Suggests False-Negative Results Are a Function of Threshold Intensity Rather Than Percentage of Positive Cells. Journal Of Clinical Oncology 2011, 29: 2978-2984. PMID: 21709197, PMCID: PMC3157961, DOI: 10.1200/jco.2010.32.9706.Peer-Reviewed Original ResearchConceptsER-positive patientsEstrogen receptorQuantitative immunofluorescenceBreast cancerTissue microarrayPositive cellsIndependent retrospective cohortsEstrogen receptor measurementsAssessment of survivalTMA cohortFalse-negative resultsRetrospective cohortER immunoreactivityTest discordancePrognostic outcomesIndependent cohortReceptor measurementsLimitations of immunohistochemistryPatientsDiscrepant casesCohortIHC methodPathologists' judgmentsDiscrepant resultsStandardized assaysStandardization of Epidermal Growth Factor Receptor (EGFR) Measurement by Quantitative Immunofluorescence and Impact on Antibody-Based Mutation Detection in Non–Small Cell Lung Cancer
Dimou A, Agarwal S, Anagnostou V, Viray H, Christensen S, Rothberg B, Zolota V, Syrigos K, Rimm DL. Standardization of Epidermal Growth Factor Receptor (EGFR) Measurement by Quantitative Immunofluorescence and Impact on Antibody-Based Mutation Detection in Non–Small Cell Lung Cancer. American Journal Of Pathology 2011, 179: 580-589. PMID: 21722621, PMCID: PMC3157192, DOI: 10.1016/j.ajpath.2011.04.031.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerCell lung cancerPrognostic valueMutation-specific antibodiesLung cancerQuantitative immunofluorescenceEpidermal growth factor receptor (EGFR) protein expressionIndependent NSCLC cohortsPopulation-based cohortEGFR mutation rateReceptor protein expressionTotal proteinFalse-positive casesPrediction of responseWestern blot analysisNSCLC cohortRetrospective cohortReceptor measurementsYale cohortEGFR expressionCohortEGFRAQUA technologyProtein expressionAntibodies
2008
AQUA analysis of thymidylate synthase reveals localization to be a key prognostic biomarker in 2 large cohorts of colorectal carcinoma.
Gustavson MD, Molinaro AM, Tedeschi G, Camp RL, Rimm DL. AQUA analysis of thymidylate synthase reveals localization to be a key prognostic biomarker in 2 large cohorts of colorectal carcinoma. Archives Of Pathology & Laboratory Medicine 2008, 132: 1746-52. PMID: 18976010, DOI: 10.5858/132.11.1746.Peer-Reviewed Original ResearchConceptsThymidylate synthase expressionSynthase expressionColorectal carcinomaSignificant associationDisease-specific survivalColon cancer outcomesColon cancer survivalKey prognostic biomarkersRetrospective cohortNodal statusPrognostic valueColorectal cancerCancer outcomesCancer survivalPathologic classificationPrognostic biomarkerLarge cohortSecond cohortAQUA scoreCytoplasmic expressionNuclear expressionCohortHigh nuclearCytoplasmic ratioFirst cohort
2005
Automated Quantitative Analysis of Activator Protein-2α Subcellular Expression in Melanoma Tissue Microarrays Correlates with Survival Prediction
Berger AJ, Davis DW, Tellez C, Prieto VG, Gershenwald JE, Johnson MM, Rimm DL, Bar-Eli M. Automated Quantitative Analysis of Activator Protein-2α Subcellular Expression in Melanoma Tissue Microarrays Correlates with Survival Prediction. Cancer Research 2005, 65: 11185-11192. PMID: 16322269, DOI: 10.1158/0008-5472.can-05-2300.Peer-Reviewed Original ResearchConceptsAP-2 expressionM.D. Anderson Cancer CenterCytoplasmic expression levelsAnderson Cancer CenterAP-2 levelsProgression of melanomaMelanoma tissue microarrayClinicopathologic factorsRetrospective cohortMetastatic groupPrognostic significanceBreslow depthCancer CenterNevi groupPoor prognosisMetastatic melanomaPrimary tumorPrimary melanomaDiagnosis groupsTissue microarrayTumor growthMelanoma specimensMalignant transformationHuman melanomaMelanoma progression