T-cell receptor-α CDR3 domain chemical features correlate with survival rates in bladder cancer

Boris I Chobrutskiy1, Saif Zaman1, Andrea Diviney1

  • 1Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, USA.

Abstract

Insights

Analyzing T-cell receptor (TCR) biochemical features, specifically complementarity determining region-3 (CDR3) isoelectric points, can predict cancer patient outcomes. Lower CDR3 isoelectric points correlate with better survival, aiding immunotherapy selection.

Area of Science:

  • Immunology
  • Bioinformatics
  • Oncology

Background:

  • T-cell responses are crucial for favorable cancer outcomes.
  • Understanding T-cell features driving response is key for effective immunotherapies like tumor-infiltrating lymphocyte (TIL) therapy.

Purpose of the Study:

  • To investigate the association between T-cell receptor (TCR) biochemical features and patient survival in cancer.
  • To identify specific TCR features that predict response to cancer immunotherapies.

Main Methods:

  • Bioinformatic analysis of 846 T-cell receptor-alpha (TCR-α) coding regions from bladder tumor tissue.
  • Evaluation of chemical features of the complementarity determining region-3 (CDR3), focusing on isoelectric points.

Main Results:

  • Statistically significant association found between low CDR3 isoelectric points and better patient survival (log rank p < 0.027).
  • Overlap observed between favorable low isoelectric point CDR3 regions and known driver mutations (e.g., PIK3CA).
  • Findings on survival-CDR3 associations were consistent across other CDR3 chemical features and cancer types.

Conclusions:

  • Bioinformatic assessment of TCR biochemical features can enhance prediction accuracy for TIL selection and patient benefit from immunotherapy.
  • Identifying specific CDR3 characteristics may optimize ex-vivo T-cell amplification strategies.
  • This approach holds promise for personalizing cancer immunotherapy.

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