2020
TRBV 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 filesAntiviral 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 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 associationsBiomarkersReceptorsMutant 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