2023
Chemical Complementarity of Breast Cancer Resident, T-Cell Receptor CDR3 Domains and the Cancer Antigen, ARMC3, is Associated With Higher Levels of Survival and Granzyme Expression
Pakasticali N, Chobrutskiy A, Patel D, Hsiang M, Zaman S, Cios K, Blanck G, Chobrutskiy B. Chemical Complementarity of Breast Cancer Resident, T-Cell Receptor CDR3 Domains and the Cancer Antigen, ARMC3, is Associated With Higher Levels of Survival and Granzyme Expression. Cancer Informatics 2023, 22: 11769351231177269. PMID: 37313373, PMCID: PMC10259117, DOI: 10.1177/11769351231177269.Peer-Reviewed Original ResearchCancer-testis antigensCancer antigensBreast cancer antigensT cell receptorGranzyme expressionImmune biomarkersCancer immunotherapyPatient outcomesGranzyme BCandidate antigensTestis antigensAdaptive immune receptorsAntigenCDR3 domainsImmune receptorsTumor gene expression dataReceptorsSurvivalAntigen bindingRegion 3Integration of itemsHigh levelsImmunotherapyBreast cancer datasetExpression correlation
2021
Chemical complementarity between immune receptors and cancer mutants, independent of antigen presentation protein binding, is associated with increased survival rates
Hsiang M, Chobrutskiy BI, Diaz M, Huda TI, Creadore S, Zaman S, Cios KJ, Gozlan EC, Blanck G. Chemical complementarity between immune receptors and cancer mutants, independent of antigen presentation protein binding, is associated with increased survival rates. Translational Oncology 2021, 14: 101069. PMID: 33780706, PMCID: PMC8039726, DOI: 10.1016/j.tranon.2021.101069.Peer-Reviewed Original ResearchT cell receptor alpha geneAmino acidsT cell receptorChemical complementarityV-J recombinationMutant amino acidsThe Cancer Genome Atlas (TCGA) databaseCancer Genome Atlas (TCGA) databaseCancer mutantsBioinformatics approachAlpha geneReceptor alpha geneImmune receptorsComplement genesAtlas databaseMutantsPeptide sequencesSpecific interactionsGenesII bindingLRP2Region 3 sequencesUterine cancerProtein bindingBinding
2020
Unproductive T cell receptor-β and T cell receptor-δ recombination recoveries in tissue and blood samples are associated with improved survival outcomes for uterine and ovarian cancers
Zaman S, Koohestani D, Diviney A, Chobrutskiy B, Arndt M. Unproductive T cell receptor-β and T cell receptor-δ recombination recoveries in tissue and blood samples are associated with improved survival outcomes for uterine and ovarian cancers. Gynecologic Oncology 2020, 159: 204. DOI: 10.1016/j.ygyno.2020.05.327.Peer-Reviewed Original ResearchTRBV and TRBJ usage, when paired with specific HLA alleles, associates with distinct head and neck cancer survival rates
Arndt MF, Koohestani DM, Chobrutskiy BI, Mihyu MM, Diaz M, Gozlan EC, Yeagley M, Zaman S, Roca AM, Blanck G. TRBV and TRBJ usage, when paired with specific HLA alleles, associates with distinct head and neck cancer survival rates. Human Immunology 2020, 81: 692-696. PMID: 32950267, DOI: 10.1016/j.humimm.2020.08.007.Peer-Reviewed Original ResearchMeSH KeywordsAllelesBiomarkers, TumorDisease-Free SurvivalExomeGenes, T-Cell Receptor betaHead and Neck NeoplasmsHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHLA AntigensHumansKaplan-Meier EstimatePrognosisReceptors, Antigen, T-Cell, alpha-betaSurvival RateV(D)J RecombinationConceptsHuman papilloma virusHLA allele combinationsT cell receptorSurvival rateCervical cancerHLA allelesParticular human leukocyte antigen (HLA) allelesBetter disease-free survival rateCancer Genome Atlas (TCGA) headDisease-free survival ratesJ usageHuman leukocyte antigen (HLA) allelesFree survival rateOverall survival rateCancer survival ratesSpecific HLA allelesDistinct overall survival ratesNeck cancer datasetPapilloma virusIndependent associationAntigen presentationAntigen allelesViral infectionHLAExome filesA scoring system for the electrostatic complementarities of T‐cell receptors and cancer‐mutant amino acids: multi‐cancer analyses of associated survival rates
Chobrutskiy BI, Yeagley M, Diviney A, Zaman S, Gozlan EC, Tipping P, Koohestani DM, Roca AM, Blanck G. A scoring system for the electrostatic complementarities of T‐cell receptors and cancer‐mutant amino acids: multi‐cancer analyses of associated survival rates. Immunology 2020, 159: 373-383. PMID: 31821535, PMCID: PMC7077996, DOI: 10.1111/imm.13165.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAmino Acid SequenceAmino AcidsAntigens, NeoplasmBinding SitesBreast NeoplasmsComplementarity Determining RegionsExomeFemaleGene ExpressionHumansLung NeoplasmsMaleMutationPrognosisProtein BindingReceptor-CD3 Complex, Antigen, T-CellResearch DesignSkin NeoplasmsStatic ElectricitySurvival RateT-LymphocytesConceptsT cell receptorImmune systemSurvival rateAnti-tumor immune responseTumor-infiltrating lymphocytesNeo-antigensPeptide vaccineImmune responseTumor antigensTumor specimensTumor specimenScoring systemStem cell proteinsHigher survival rateMutant amino acidsReceptorsAmino acidsMutant peptidesAa sequencesCell proteinsLymphocytesVaccineImmunoscoringAntigenSpecific genes
2018
T-cell receptor-α CDR3 domain chemical features correlate with survival rates in bladder cancer
Chobrutskiy BI, Zaman S, Diviney A, Mihyu MM, Blanck G. T-cell receptor-α CDR3 domain chemical features correlate with survival rates in bladder cancer. Journal Of Cancer Research And Clinical Oncology 2018, 145: 615-623. PMID: 30539280, DOI: 10.1007/s00432-018-2815-1.Peer-Reviewed Original ResearchConceptsTumor-infiltrating lymphocytesT cell responsesBladder tumor tissuesT-cell featuresEx vivo amplificationT cell receptorBladder cancerCancer findingsFavorable outcomeCancer settingBetter outcomesSurvival rateTumor tissueCancerDriver mutationsImmunotherapyBiochemical featuresBioinformatics assessmentOutcomesAntigen bindingRegion 3TILsPatientsLymphocytesTherapyRecovery 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 ResearchConceptsLow-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 associationsBiomarkersReceptorsP081 ST14 protease resistant peptides, from glioblastoma multiforme mutant proteins, represent higher binding affinities as potential HLA class I epitopes
Zaman S, Chobrutskiy B, Patel J, Callahan B, Blanck G. P081 ST14 protease resistant peptides, from glioblastoma multiforme mutant proteins, represent higher binding affinities as potential HLA class I epitopes. Human Immunology 2018, 79: 121. DOI: 10.1016/j.humimm.2018.07.140.Peer-Reviewed Original ResearchJ recombinationT cell receptorAa substitutionsProtease sensitivityExtracellular matrix-related proteinsCancer developmentMatrix-related proteinsAmino acid substitutionsBinding affinitiesTransmembrane serine proteaseHigh binding affinityMutant proteinsBioinformatics approachAcid substitutionsProtease cleavageExtracellular matrixSerine proteasesMutant peptidesCytoskeletonProteasePeptide sequencesClass IBarcodesRecombinationProteinMutant cytoskeletal and ECM peptides sensitive to the ST14 protease are associated with a worse outcome for glioblastoma multiforme
Zaman S, Chobrutskiy BI, Patel JS, Callahan BM, Tong WL, Blanck G. Mutant cytoskeletal and ECM peptides sensitive to the ST14 protease are associated with a worse outcome for glioblastoma multiforme. Biochemical And Biophysical Research Communications 2018, 503: 2218-2225. PMID: 29953855, DOI: 10.1016/j.bbrc.2018.06.141.Peer-Reviewed Original ResearchConceptsT cell receptorAa substitutionsExtracellular matrix-related proteinsMatrix-related proteinsAmino acid substitutionsTransmembrane serine proteaseBioinformatics approachECM peptidesProtease sensitivityAcid substitutionsSerine proteasesCancer developmentProteasePeptide sequencesBarcodesHigh binding affinityBinding affinitiesCancer datasetsClass IRecombinationExome filesCytoskeletalCytoskeletonSubstitutionGlioblastoma multiforme