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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
ISSN: 2576-8816Volume11 Issue 2
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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