2023
Bacterial Sequencing Reads in Blood Exome Files from Melanoma and Cervical Cancer Patients are Associated with Cancer Recurrence
Quach J, Diaz M, Huda T, Kinskey J, Zaman S, Desantis J, Cios K, Blanck G. Bacterial Sequencing Reads in Blood Exome Files from Melanoma and Cervical Cancer Patients are Associated with Cancer Recurrence. Molecular Biotechnology 2023, 65: 1476-1484. PMID: 36653589, DOI: 10.1007/s12033-023-00663-9.Peer-Reviewed Original ResearchConceptsCervical cancer casesCervical cancer patientsCancer patientsExome filesCancer recurrenceCancer casesDisease-free survival probabilityImmunocompromised Cancer PatientsOverall survival resultsCancer clinical outcomesBacterial blood infectionsLower DFSClinical outcomesCervical cancerPrimary tumorSurvival resultsMelanoma casesBlood infectionSolid tumorsGreater riskPatientsBacteroides fragilisBloodPresence of bacteriaBacteroides species
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 filesImmunogenomics 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 ResearchConceptsT 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 AnalysisCancerA 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
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 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 ResearchConceptsImmune 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