학술논문

A scoring system for the electrostatic complementarities of T‐cell receptors and cancer‐mutant amino acids: multi‐cancer analyses of associated survival rates.
Document Type
Article
Source
Immunology. Apr2020, Vol. 159 Issue 4, p373-383. 11p.
Subject
*AMINO acid analysis
*TUMOR antigens
*SURVIVAL analysis (Biometry)
*AMINO acids
*STEM cells
Language
ISSN
0019-2805
Abstract
Summary: 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. [ABSTRACT FROM AUTHOR]