2021
High-throughput, sliding-window algorithm for assessing chemical complementarity between immune receptor CDR3 domains and cancer mutant peptides: TRG-PIK3CA interactions and breast cancer
Chobrutskiy BI, Chobrutskiy A, Zaman S, Yeagley M, Huda TI, Blanck G. High-throughput, sliding-window algorithm for assessing chemical complementarity between immune receptor CDR3 domains and cancer mutant peptides: TRG-PIK3CA interactions and breast cancer. Molecular Immunology 2021, 135: 247-253. PMID: 33933816, DOI: 10.1016/j.molimm.2021.02.026.Peer-Reviewed Original Research
2020
Chemical features of blood-borne TRG CDR3s associated with an increased overall survival in breast cancer
Chobrutskiy A, Chobrutskiy BI, Zaman S, Hsiang M, Blanck G. Chemical features of blood-borne TRG CDR3s associated with an increased overall survival in breast cancer. Breast Cancer Research And Treatment 2020, 185: 591-600. PMID: 33180235, DOI: 10.1007/s10549-020-05996-6.Peer-Reviewed Original ResearchConceptsOverall survivalBreast cancerPrimary breast cancer patientsGamma delta T cellsBreast cancer tumor tissuesBreast cancer settingProgesterone receptor statusBreast cancer patientsGreater overall survivalPotential antigenic targetsCancer tumor tissuesPatient ageReceptor statusCancer patientsAntigenic targetsCancer settingT cellsSurvival correlationB cellsSurvival rateTumor tissueHigher survival rateImmunogenomic approachesConclusionsThese resultsSurvival parametersA 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
2019
A brief report of toxicity end points of HER2 vaccines for the treatment of patients with HER2+ breast cancer
Costa R, Zaman S, Sharpe S, Helenowski I, Shaw C, Han H, Soliman H, Czerniecki B. A brief report of toxicity end points of HER2 vaccines for the treatment of patients with HER2+ breast cancer. Drug Design Development And Therapy 2019, 13: 309-316. PMID: 30679903, PMCID: PMC6338114, DOI: 10.2147/dddt.s188925.Peer-Reviewed Original ResearchConceptsChills/rigorsInjection site reactionsAbsolute riskAdverse eventsHER2 vaccinesSite reactionsTreatment-related serious adverse eventsLarge-scale prospective clinical trialsGrade 3/4 adverse eventsAvailable clinical trial dataHuman epidermal growth factor receptor 2Left ventricle ejection fractionEpidermal growth factor receptor 2Treatment-related deathsSerious adverse eventsGrowth factor receptor 2Prospective clinical trialsVentricle ejection fractionModest clinical efficacyTreatment of patientsClinical trial dataFactor receptor 2Adequate safety assessmentEvidence of heterogeneityGrade fatigue
2018
Immune 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