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1.
Hum Immunol ; 81(12): 692-696, 2020 Dec.
Article in English | MEDLINE | ID: mdl-32950267

ABSTRACT

Common or dominant, T-cell receptor (TCR), V and J usage, in combination with particular human leukocyte antigen (HLA) alleles, has been associated with differing outcomes in viral infections, autoimmunity, and more recently, in cancer. Cervical cancer in particular represents the most dramatic series of distinctions of outcomes associated with differing combinations of dominant V or J usage and HLA alleles, possibly because of the strong association of cervical cancer with human papilloma virus (HPV), in turn leading to a likely molecular consistency in the mechanism of HPV antigen presentation. Thus, we considered assessing TRB V and J usage, HLA allele combinations, for their associations with survival rates and related data, in the cancer genome atlas head and neck cancer dataset. We obtained the TRB VDJ recombination reads from both the blood and tumor exome files and determined the V and J identities. We then established case ID (patient) subsets of V or J usage, HLA alleles, and determined, for example, that the TRBJ2-7, HLA-B*40:01 combination was associated with a better disease free survival rate than were either the TRBJ1-3, HLA-DPB1*03:01 or the TRBJ2-1, HLA-DPB1*02:01 combinations. Furthermore, these analyses led to the conclusion that TRBJ1-5 usage, and the HLA-C*08:02 and HLA-DRB1*03:01 alleles, had independent associations with distinct overall survival rates. In sum, the results suggest that dominant V or J usage, HLA allele combinations, and in certain cases, dominant V or J usage independently of HLA, could be useful in prognosis and in guiding immunotherapies.


Subject(s)
Alleles , Genes, T-Cell Receptor beta , HLA Antigens/genetics , Head and Neck Neoplasms/genetics , Head and Neck Neoplasms/mortality , Histocompatibility Antigens Class II/genetics , Histocompatibility Antigens Class I/genetics , Receptors, Antigen, T-Cell, alpha-beta/genetics , V(D)J Recombination , Biomarkers, Tumor/blood , Biomarkers, Tumor/genetics , Disease-Free Survival , Exome , Head and Neck Neoplasms/blood , Head and Neck Neoplasms/pathology , Humans , Kaplan-Meier Estimate , Prognosis , Survival Rate
2.
Immunology ; 159(4): 373-383, 2020 04.
Article in English | MEDLINE | ID: mdl-31821535

ABSTRACT

The anti-tumor immune response is considered to be due to the T-cell receptor (TCR) binding to tumor antigens, which can be either wild-type, early stem cell proteins, presumably foreign to a developed immune system; or mutant peptides, foreign to the immune system because of a mutant amino acid (aa) or otherwise somatically altered aa sequence. Recently, very large numbers of TCR complementarity-determining region-3 (CDR3) aa sequences obtained from tumor specimens have become available. We developed a novel algorithm for assessing the complementarity of tumor mutant peptides and TCR CDR3s, based on the retrieval of TCR CDR3 aa sequences from both tumor specimen and patient blood exomes and by using an automated process of assessing CDR3 and mutant aa electrical charges. Results indicated many instances where high electrostatic complementarity was associated with a higher survival rate. In particular, our approach led to the identification of specific genes contributing significantly to the complementary, TCR CDR3-mutant aa. These results suggest a novel approach to tumor immunoscoring and may lead to the identification of high-priority neo-antigen, peptide vaccines; or to the identification of ex vivo stimulants of tumor-infiltrating lymphocytes.


Subject(s)
Algorithms , Antigens, Neoplasm/chemistry , Breast Neoplasms/genetics , Complementarity Determining Regions/chemistry , Lung Neoplasms/genetics , Receptor-CD3 Complex, Antigen, T-Cell/chemistry , Skin Neoplasms/genetics , Amino Acid Sequence , Amino Acids , Antigens, Neoplasm/genetics , Antigens, Neoplasm/immunology , Binding Sites , Breast Neoplasms/diagnosis , Breast Neoplasms/immunology , Breast Neoplasms/mortality , Complementarity Determining Regions/genetics , Complementarity Determining Regions/immunology , Exome , Female , Gene Expression , Humans , Lung Neoplasms/diagnosis , Lung Neoplasms/immunology , Lung Neoplasms/mortality , Male , Mutation , Prognosis , Protein Binding , Receptor-CD3 Complex, Antigen, T-Cell/genetics , Receptor-CD3 Complex, Antigen, T-Cell/immunology , Research Design , Skin Neoplasms/diagnosis , Skin Neoplasms/immunology , Skin Neoplasms/mortality , Static Electricity , Survival Rate , T-Lymphocytes/immunology , T-Lymphocytes/pathology
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