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 ResearchChemical 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
A 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
Potential MMP2-mediated availability of HLA binding, mutant ECM peptides reflects better melanoma survival rates and greater T-cell infiltrates
Zaman S, Chobrutskiy BI, Patel JS, Callahan BM, Mihyu MM, Diviney A, Blanck G. Potential MMP2-mediated availability of HLA binding, mutant ECM peptides reflects better melanoma survival rates and greater T-cell infiltrates. Laboratory Investigation 2019, 99: 1287-1295. PMID: 31019293, DOI: 10.1038/s41374-019-0248-3.Peer-Reviewed Original ResearchConceptsMutant amino acidsAmino acidsStructural proteinsExtracellular matrix structural proteinsMatrix metalloproteinase-2Cancer progressionLate-stage cancer developmentMutant peptidesECM structural proteinsMatrix structural proteinsBioinformatics approachProtein mutantsProtease functionECM peptidesSuch proteasesMutantsPotential substratesCancer developmentProteaseMelanoma samplesProteinSpread of cancerTumor samplesMetalloproteinase-2Cancer microenvironment
2018
MMP7 sensitivity of mutant ECM proteins: An indicator of melanoma survival rates and T-cell infiltration
Zaman S, Chobrutskiy BI, Patel JS, Callahan BM, Tong WL, Mihyu MM, Blanck G. MMP7 sensitivity of mutant ECM proteins: An indicator of melanoma survival rates and T-cell infiltration. Clinical Biochemistry 2018, 63: 85-91. PMID: 30414845, DOI: 10.1016/j.clinbiochem.2018.11.004.Peer-Reviewed Original ResearchConceptsMutant amino acidsT-cell infiltratesT cell infiltrationMelanoma survival ratesDistinct survival outcomesCancer Genome AtlasSurvival outcomesWorse outcomesImmune activitySurvival rateMelanoma specimensMelanomaGenome AtlasPatientsAmino acidsOverall mutationsDetection of melanomaOutcomesOnly decrease