2023
Integrative deep learning analysis improves colon adenocarcinoma patient stratification at risk for mortality
Zhou J, pour A, Deirawan H, Daaboul F, Aung T, Beydoun R, Ahmed F, Chuang J. Integrative deep learning analysis improves colon adenocarcinoma patient stratification at risk for mortality. EBioMedicine 2023, 94: 104726. PMID: 37499603, PMCID: PMC10388166, DOI: 10.1016/j.ebiom.2023.104726.Peer-Reviewed Original ResearchConceptsModerate-risk patientsClinical variablesPatient stratificationOverall survivalAdenocarcinoma patientsTCGA-COADLow-risk patientsColorectal cancer patientsEnrollment of patientsRectal adenocarcinoma patientsRisk of mortalityColon adenocarcinoma patientsLow immune infiltrationNational Cancer InstituteMutation signaturesNumber of deathsCancer Genome AtlasColorectal cancerPathological featuresCancer patientsImmune infiltrationImproved stratificationClinical trialsPatient riskCancer InstituteSubsets 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 patternsDigital spatial profiling links beta-2-microglobulin expression with immune checkpoint blockade outcomes in head and neck squamous cell carcinoma
Gavrielatou N, Vathiotis I, Aung T, Shafi S, Burela S, Fernandez A, Moutafi M, Burtness B, Economopoulou P, Anastasiou M, Foukas P, Psyrri A, Rimm D. Digital spatial profiling links beta-2-microglobulin expression with immune checkpoint blockade outcomes in head and neck squamous cell carcinoma. Cancer Research Communications 2023, 3: 558-563. PMID: 37057033, PMCID: PMC10088911, DOI: 10.1158/2767-9764.crc-22-0299.Peer-Reviewed Original ResearchConceptsDigital spatial profilingB2M expressionOverall survivalM HNSCCImmunotherapy outcomesNeck squamous cell carcinoma (HNSCC) treatmentHigh beta-2 microglobulinSquamous cell carcinoma treatmentCell death protein 1Neck squamous cell carcinomaM expressionPretreatment biopsy samplesImmune checkpoint inhibitorsPD-L1 expressionImmune checkpoint markersDeath protein 1Squamous cell carcinomaB2MBeta-2-microglobulinBeta 2 microglobulin expressionImproved PFSCheckpoint inhibitorsMetastatic headCheckpoint markersImproved survivalSpatial characterization and quantification of CD40 expression across cancer types
Bates K, Vathiotis I, MacNeil T, Ahmed F, Aung T, Katlinskaya Y, Bhattacharya S, Psyrri A, Yea S, Parkes A, Sadraei N, Roychoudhury S, Rimm D, Gavrielatou N. Spatial characterization and quantification of CD40 expression across cancer types. BMC Cancer 2023, 23: 220. PMID: 36894898, PMCID: PMC9996913, DOI: 10.1186/s12885-023-10650-7.Peer-Reviewed Original ResearchConceptsCD40 expressionSolid tumorsTumor cellsQuantitative immunofluorescencePatient cohortPancreatic cancerCancer typesExpression of CD40Large patient cohortOvarian cancer populationTissue microarray formatDifferent solid tumorsInnate immune responseTNF receptor family membersAvailable patient cohortNSCLC populationOverall survivalPrognostic impactReceptor family membersCancer populationAdenocarcinoma populationImmune cellsOvarian cancerPancreatic adenocarcinomaPositivity rate
2022
Quantitative assessment of Siglec-15 expression in lung, breast, head, and neck squamous cell carcinoma and bladder cancer.
Shafi S, Aung T, Xirou V, Gavrielatou N, Vathiotis I, Fernandez A, Moutafi M, Yaghoobi V, Herbst R, Liu L, Langermann S, Rimm D. Quantitative assessment of Siglec-15 expression in lung, breast, head, and neck squamous cell carcinoma and bladder cancer. Laboratory Investigation 2022, 102: 1143-1149. PMID: 36775354, DOI: 10.1038/s41374-022-00796-6.Peer-Reviewed Original ResearchConceptsSiglec-15 expressionNon-small cell lung cancerNeck squamous cell carcinomaProgression-free survivalSquamous cell carcinomaCancer typesOverall survivalCell carcinomaBladder cancerImmune cellsSiglec-15PD-1/PD-L1 blockadePotential future clinical trialsQuantitative immunofluorescencePD-L1 blockadeStromal immune cellsImmune checkpoint blockadeCell lung cancerFuture clinical trialsNew potential targetsCheckpoint blockadePD-L1Lung cancerClinical trialsIntra-tumoral heterogeneityObjective assessment of tumor infiltrating lymphocytes as a prognostic marker in melanoma using machine learning algorithms
Aung TN, Shafi S, Wilmott JS, Nourmohammadi S, Vathiotis I, Gavrielatou N, Fernandez A, Yaghoobi V, Sinnberg T, Amaral T, Ikenberg K, Khosrotehrani K, Osman I, Acs B, Bai Y, Martinez-Morilla S, Moutafi M, Thompson JF, Scolyer RA, Rimm DL. Objective assessment of tumor infiltrating lymphocytes as a prognostic marker in melanoma using machine learning algorithms. EBioMedicine 2022, 82: 104143. PMID: 35810563, PMCID: PMC9272337, DOI: 10.1016/j.ebiom.2022.104143.Peer-Reviewed Original ResearchConceptsTumor-infiltrating lymphocytesMelanoma patientsPrognostic valuePrognostic markerPrimary melanoma patientsRobust prognostic markerStage II patientsSpecific molecular subtypesTIL phenotypeAdjuvant therapyOverall survivalSurgical treatmentTIL scoreII patientsSurvival outcomesLung cancerClinical trialsPrimary melanomaClinical impactT cellsMolecular subtypesHigh riskIndependent cohortLower riskEosin stainingDigital spatial profiling to uncover biomarkers of immunotherapy outcomes in head and neck squamous cell carcinoma.
Gavrielatou N, Vathiotis I, Aung T, Shafi S, Burela S, Fernandez A, Psyrri A, Rimm D. Digital spatial profiling to uncover biomarkers of immunotherapy outcomes in head and neck squamous cell carcinoma. Journal Of Clinical Oncology 2022, 40: 6050-6050. DOI: 10.1200/jco.2022.40.16_suppl.6050.Peer-Reviewed Original ResearchNeck squamous cell carcinomaM HNSCC patientsSquamous cell carcinomaB2M expressionOverall survivalHNSCC patientsValidation cohortCell carcinomaB2MPre-treatment biopsy samplesUnivariate Cox regression modelM expressionFunctional antigen presentationHigh beta2-microglobulinTreatment of recurrentImmune checkpoint expressionCox regression modelImmune cell markersStandard of careIndependent validation cohortSpatial profiling technologyDigital spatial profilingDigital spatial profiling (DSP) technologyImmune stromaM HNSCCQuantitative assessment of Siglec-15 expression in lung, breast, head, and neck squamous cell carcinoma and bladder cancer
Shafi S, Aung TN, Xirou V, Gavrielatou N, Vathiotis IA, Fernandez A, Moutafi M, Yaghoobi V, Herbst RS, Liu LN, Langermann S, Rimm DL. Quantitative assessment of Siglec-15 expression in lung, breast, head, and neck squamous cell carcinoma and bladder cancer. Laboratory Investigation 2022, 102: 1143-1149. PMID: 35581307, PMCID: PMC10211373, DOI: 10.1038/s41374-022-00796-6.Peer-Reviewed Original ResearchConceptsSiglec-15 expressionNon-small cell lung cancerNeck squamous cell carcinomaProgression-free survivalSquamous cell carcinomaCancer typesOverall survivalCell carcinomaBladder cancerImmune cellsSiglec-15PD-1/PD-L1 blockadePotential future clinical trialsQuantitative immunofluorescencePD-L1 blockadeStromal immune cellsImmune checkpoint blockadeCell lung cancerFuture clinical trialsNew potential targetsCheckpoint blockadePD-L1Lung cancerClinical trialsIntra-tumoral heterogeneityDiscovery of Biomarkers of Resistance to Immune Checkpoint Blockade in NSCLC Using High-Plex Digital Spatial Profiling
Moutafi M, Martinez-Morilla S, Divakar P, Vathiotis I, Gavrielatou N, Aung TN, Yaghoobi V, Fernandez AI, Zugazagoitia J, Herbst R, Schalper KA, Rimm DL. Discovery of Biomarkers of Resistance to Immune Checkpoint Blockade in NSCLC Using High-Plex Digital Spatial Profiling. Journal Of Thoracic Oncology 2022, 17: 991-1001. PMID: 35490853, PMCID: PMC9356986, DOI: 10.1016/j.jtho.2022.04.009.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsICI resistanceDigital spatial profilingICI therapyOverall survivalPretreatment samplesQuantitative immunofluorescenceImmune checkpoint blockadeRole of neutrophilsShorter overall survivalCandidate biomarker proteinsCandidate protein biomarkersCohort validationOperable NSCLCUntreated NSCLCCheckpoint inhibitorsCheckpoint blockadeCD66b expressionAdditional patientsClinical efficacyPoor outcomeDiscovery of biomarkersUnivariate analysisNSCLCPatientsAssociation of PD-1/PD-L1 Co-location with Immunotherapy Outcomes in Non-Small Cell Lung Cancer
Gavrielatou N, Liu Y, Vathiotis I, Zugazagoitia J, Aung TN, Shafi S, Fernandez A, Schalper K, Psyrri A, Rimm DL. Association of PD-1/PD-L1 Co-location with Immunotherapy Outcomes in Non-Small Cell Lung Cancer. Clinical Cancer Research 2022, 28: clincanres.2649.2021. PMID: 34686497, PMCID: PMC8776595, DOI: 10.1158/1078-0432.ccr-21-2649.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerBest overall responsePD-L1 tumor proportion scorePD-1/PD-L1Immune checkpoint inhibitorsProgression-free survivalTumor proportion scoreCell lung cancerPD-L1Immunotherapy outcomesCheckpoint inhibitorsOverall survivalQuantitative immunofluorescenceLung cancerProportion scoreAdvanced non-small cell lung cancerLocal T cell responsesCell death protein 1Immunotherapy-treated patientsMultiplexed quantitative immunofluorescencePD-1 expressionPD-L1 expressionDeath protein 1Selection of patientsT cell responses
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 expressionQuantitative Assessment of CD200 and CD200R Expression in Lung Cancer
Vathiotis IA, MacNeil T, Zugazagoitia J, Syrigos KN, Aung TN, Gruver AM, Vaillancourt P, Hughes I, Hinton S, Driscoll K, Rimm DL. Quantitative Assessment of CD200 and CD200R Expression in Lung Cancer. Cancers 2021, 13: 1024. PMID: 33804482, PMCID: PMC7957629, DOI: 10.3390/cancers13051024.Peer-Reviewed Original ResearchLung cancer patientsCD200R expressionClinicopathologic characteristicsPD-L1Cancer patientsLung cancerImmune cellsLarge-cell neuroendocrine carcinoma patientsMutation statusNon-small cell lung cancer patientsCell lung cancer patientsQuantitative immunofluorescenceMultiplexed quantitative immunofluorescenceNeuroendocrine carcinoma patientsExpression of CD200Lung cancer cohortTumor cell stainingLCNEC patientsOverall survivalCarcinoma patientsImmune checkpointsImmune therapyTumor positivitySquamous differentiationCancer cohort