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Abstract

Research in Medical & Engineering Sciences

Effective TCR Diversity as a Superior Quantitative Representation in Tumor Immunity

  • Open or CloseWei Ping1,2, Li Hui2, Zhang Xiao-Min3, LI Jie-Wei2, Yang Siye1 and Li Junli2*

    1Sichuan Academy of Traditional Chinese Medicine/SiChuan Institute for Translational Chinese Medicine/Translational Chinese Medicine Key Laboratory of Sichuan Province, China

    2College of Computer Science, Sichuan Normal University, China

    3School of Life Science and Engineering, Southwest University of Science and Technology, China

    *Corresponding author:Li Junli, College of Computer Science, Sichuan Normal University, China

Submission: July 15, 2024;Published: July 26, 2024

DOI: 10.31031/RMES.2024.10.000756

ISSN: 2576-8816
Volume11 Issue 2

Abstract

The occurrence and development of tumors are closely related to the immune system’s response. Identifying indicators that can effectively quantify and characterize the immune status of tumors is crucial for cancer diagnosis, staging, treatment, and prognosis. T-cell receptor (TCR) diversity and specificity have been identified as potential tumor biomarkers. However, merely analyzing TCR diversity or specificity independently does not always correlate positively with effective immune presentation of tumors. We define TCR effective diversity as the diversity of specific TCRs that can recognize and bind to specific antigenic peptides, thereby eliciting a positive immune response. By leveraging a specificity clustering model, we constructed an effective diversity index and evaluated its quantitative analysis in cancer classification across two datasets. The study demonstrates that the TCR effective diversity index, which integrates both diversity and specificity, can more accurately quantify the role of TCR in tumor immunity.

Keywords:TCR; Effective diversity; Tumor immunity

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