2024
Chemical complementarity of tumor resident, T-cell receptor CDR3s and renalase-1 correlates with increased melanoma survival
Zaman S, Gorelick F, Chrobrutskiy A, Chobrutskiy B, Desir G, Blanck G. Chemical complementarity of tumor resident, T-cell receptor CDR3s and renalase-1 correlates with increased melanoma survival. Oncotarget 2024, 15: 550-561. PMID: 39102218, PMCID: PMC11299663, DOI: 10.18632/oncotarget.28633.Peer-Reviewed Original ResearchMeSH KeywordsAmidohydrolasesComplementarity Determining RegionsFemaleHumansMelanomaMonoamine OxidasePrognosisReceptors, Antigen, T-CellConceptsT cell receptorOverall survivalT cellsAssociated with improved overall survivalT-cell receptor CDR3sPromote T cell activationImproved overall survivalSurvival of melanomaPancreatic cancer patientsT cell activationT cell receptor recognitionTumor-residentTumor rejectionMelanoma patientsMelanoma growthMelanoma survivalImmune signature genesSurvival associationsCancer patientsMelanomaSignature genesAmino acid sequenceSurvivalPatientsExpression levels
2022
Chemical complementarity between tumor resident, T-cell receptor CDR3s and MAGEA3/6 correlates with increased melanoma survival: Potential relevance to MAGE vaccine auto-reactivity
Eakins R, Chobrutskiy A, Teer J, Patel D, Hsiang M, Huda T, Zaman S, Sexton W, Coppola D, Falasiri S, Blanck G, Chobrutskiy B. Chemical complementarity between tumor resident, T-cell receptor CDR3s and MAGEA3/6 correlates with increased melanoma survival: Potential relevance to MAGE vaccine auto-reactivity. Molecular Immunology 2022, 150: 58-66. PMID: 35987136, DOI: 10.1016/j.molimm.2022.08.001.Peer-Reviewed Original Research
2021
Specific HLA alleles, paired with TCR V- and J-gene segment usage, link to distinct multiple myeloma survival rates
Huda TI, Mihyu M, Gozlan EC, Arndt MF, Diaz MJ, Zaman S, Chobrutskiy BI, Blanck G. Specific HLA alleles, paired with TCR V- and J-gene segment usage, link to distinct multiple myeloma survival rates. Leukemia & Lymphoma 2021, 62: 1711-1720. PMID: 33622167, DOI: 10.1080/10428194.2021.1885655.Peer-Reviewed Original ResearchMeSH KeywordsAllelesHumansMultiple MyelomaReceptors, Antigen, T-CellReceptors, Antigen, T-Cell, alpha-betaSurvival RateT-LymphocytesConceptsHLA allele combinationsTCR VBlood samplesSurvival rateT cell receptor VOverall survival rateT cell characterizationSpecific HLA allelesLarger patient setsDistinct overall survival ratesSolid tumor typesSurvival distinctionsMM cohortHLA allelesJ-gene segment usageTumor typesPotential associationImmunogenomics studiesHLASegment usagePatient setAllele combinationsTCR recombinationImmunogenetic parametersImmunogenomic data
2020
Immunogenomics of colorectal adenocarcinoma: Survival distinctions represented by immune receptor, CDR3 chemical features and high expression of BTN gene family members
Diaz MJ, Chobrutskiy BI, Zaman S, Blanck G. Immunogenomics of colorectal adenocarcinoma: Survival distinctions represented by immune receptor, CDR3 chemical features and high expression of BTN gene family members. Cancer Treatment And Research Communications 2020, 24: 100196. PMID: 32769037, DOI: 10.1016/j.ctarc.2020.100196.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaAftercareAntineoplastic Agents, ImmunologicalBiomarkers, TumorButyrophilinsColorectal NeoplasmsComplementarity Determining RegionsComputational BiologyDisease-Free SurvivalExomeGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateReceptors, Antigen, B-CellReceptors, Antigen, T-CellRecombination, GeneticRNA-SeqSurvival RateConceptsSurvival rateLung cancerColon cancerImmune receptor recombinationsWorse survival rateCancer survival ratesCases of melanomaBetter survival rateB cell receptorFamily membersSurvival distinctionsCancer Genome AtlasImmunotherapy approachesColorectal adenocarcinomaT cellsImmunogenomics studiesCancer typesCancerConsistent associationHigh expressionGenome AtlasImmune receptorsImmunogenomic featuresMelanomaCancer exomesAntiviral T Cell Receptor Complementarity Determining Region-3 Sequences Are Associated with a Worse Cancer Outcome: A Pancancer Analysis
Zaman S, Chobrutskiy BI, Patel JS, Diviney A, Tu YN, Tong WL, Gill T, Blanck G. Antiviral T Cell Receptor Complementarity Determining Region-3 Sequences Are Associated with a Worse Cancer Outcome: A Pancancer Analysis. Viral Immunology 2020, 33: 404-412. PMID: 32315578, DOI: 10.1089/vim.2019.0156.Peer-Reviewed Original ResearchMeSH KeywordsComplementarity Determining RegionsExomeGenomeHumansNeoplasmsReceptors, Antigen, T-CellSurvival RateV(D)J RecombinationVirusesConceptsT cellsRegion 3 sequencesSurvival rateTissue-resident T cellsCancer typesImmune receptor recombinationsResident T cellsWorse survival rateHuman papilloma virusWorse cancer outcomesTCGA data setsThymus cancerCancer Genome AtlasViral etiologyCancer outcomesDistinct survival ratesNeck cancerPapilloma virusDifferent cancer typesSolid tumorsTumor samplesExome filesGenome AtlasPancancer AnalysisCancer
2018
Recovery of T-cell receptor V(D)J recombination reads from lower grade glioma exome files correlates with reduced survival and advanced cancer grade
Chobrutskiy BI, Zaman S, Tong WL, Diviney A, Blanck G. Recovery of T-cell receptor V(D)J recombination reads from lower grade glioma exome files correlates with reduced survival and advanced cancer grade. Journal Of Neuro-Oncology 2018, 140: 697-704. PMID: 30382482, DOI: 10.1007/s11060-018-03001-1.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkers, TumorBrain NeoplasmsDisease-Free SurvivalExomeGenomicsGliomaHumansKaplan-Meier EstimateReceptors, Antigen, T-CellT-LymphocytesV(D)J RecombinationConceptsLow-grade gliomasT cell receptorCancer gradeImmune systemExome filesT-cell biomarkersDisease-free survivalT lymphocyte infiltrationPrimary tumor siteLGG survivalLymphocyte infiltrationCancer survivalPrimary tumorPancreatic cancerDisease progressionUseful biomarkerB cellsGrade gliomasSurvival rateTumor siteReduced survivalSurvivalSuch associationsBiomarkersReceptorsImmune receptor recombinations from breast cancer exome files, independently and in combination with specific HLA alleles, correlate with better survival rates
Tong WL, Callahan BM, Tu YN, Zaman S, Chobrutskiy BI, Blanck G. Immune receptor recombinations from breast cancer exome files, independently and in combination with specific HLA alleles, correlate with better survival rates. Breast Cancer Research And Treatment 2018, 173: 167-177. PMID: 30229447, DOI: 10.1007/s10549-018-4961-1.Peer-Reviewed Original ResearchMeSH KeywordsBreast NeoplasmsDisease-Free SurvivalExomeFemaleHLA AntigensHumansImmunoglobulin Heavy ChainsReceptors, Antigen, T-CellRecombination, GeneticSurvival RateConceptsImmune receptor recombinationsSpecific HLA allelesExome filesHLA typesBreast cancerHLA allelesSurvival rateImmune checkpoint inhibitor therapyImproved disease-free survivalDisease-free outcomeCheckpoint inhibitor therapyT cell receptor VUse of immunotherapyDisease-free survivalSegment usageB cell biomarkersBreast cancer subgroupsHLA allele combinationsBetter survival rateBreast cancer samplesBreast tumor samplesGene segment usageSurvival distinctionsInhibitor therapyImmune characterization