Characterization of T-Cell Receptor Profiles Predicts Survival Situation in Patients with Hepatocellular Carcinoma

PurposeHepatocellular carcinoma (HCC) is the most common liver malignancy in the world, and tumor-infiltrating T cells have been shown to be closely related to the prognosis of HCC. This study investigated the potential and efficacy of T cell receptor (TCR) repertoire characterization as a biomarker for predicting survival differences.MethodsIn this study, we used high-throughput sequencing technology to systematically analyze the characteristics of TCR repertoires in tumor tissues obtained from 23 long-survivors and 8 short-survivors diagnosed with HCC.ResultsThe TCR composition in HCC long-survivors was found to be less diverse than in the short-survivors. In addition, in the context of V and J gene segments, long-survivors showed significantly higher usage of TRBJ1-3, TRBV10-1, TRBV15, and TRBV6-5, and lower usage of TRBJ2-2. Both principal component analysis (PCA) and the motif diagram of complementary determination region 3 (CDR3) sequences could clearly discriminate short- and long-survivors. And there were five up-regulated and one down-regulated CDR3 sequences in the LS group compared with the SS group. According to the characteristics of TCR repertoire, we also established the survival-related evaluation system and the prediction model for the survival period of HCC patients.ConclusionOur study adds to the existing knowledge of TCR rearrangement profiles in HCC patients by elucidating the differential TCR rearrangement profiles between long-term and short-term surviving HCC patients. Also, our analysis identified a number of TCR genes that are significantly associated with survival, and these may not only serve as prognostic biomarkers but may also play an important role in antigen-specific immunotherapy.

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Publication Details

Journal
Technology in Cancer Research & Treatment
Published
2025-03-28
DOI
https://doi.org/10.1177/15330338251329699
Citations
1
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
1.05

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article

Characterization of T-Cell Receptor Profiles Predicts Survival Situation in Patients with Hepatocellular Carcinoma

Runze Jiang, Fengyan Wang, Jing Yang, Ziqiang Li et al.
1 citations
Technology in Cancer Research & Treatment
Cancer Immunotherapy and Biomarkers
1.05
article

Characterization of T-Cell Receptor Profiles Predicts Survival Situation in Patients with Hepatocellular Carcinoma

Runze Jiang, Fengyan Wang, Jing Yang, Ziqiang Li, Changqing Xu, Li Deng, Qiwei Cao
article en
1 citations

Abstract

PurposeHepatocellular carcinoma (HCC) is the most common liver malignancy in the world, and tumor-infiltrating T cells have been shown to be closely related to the prognosis of HCC. This study investigated the potential and efficacy of T cell receptor (TCR) repertoire characterization as a biomarker for predicting survival differences.MethodsIn this study, we used high-throughput sequencing technology to systematically analyze the characteristics of TCR repertoires in tumor tissues obtained from 23 long-survivors and 8 short-survivors diagnosed with HCC.ResultsThe TCR composition in HCC long-survivors was found to be less diverse than in the short-survivors. In addition, in the context of V and J gene segments, long-survivors showed significantly higher usage of TRBJ1-3, TRBV10-1, TRBV15, and TRBV6-5, and lower usage of TRBJ2-2. Both principal component analysis (PCA) and the motif diagram of complementary determination region 3 (CDR3) sequences could clearly discriminate short- and long-survivors. And there were five up-regulated and one down-regulated CDR3 sequences in the LS group compared with the SS group. According to the characteristics of TCR repertoire, we also established the survival-related evaluation system and the prediction model for the survival period of HCC patients.ConclusionOur study adds to the existing knowledge of TCR rearrangement profiles in HCC patients by elucidating the differential TCR rearrangement profiles between long-term and short-term surviving HCC patients. Also, our analysis identified a number of TCR genes that are significantly associated with survival, and these may not only serve as prognostic biomarkers but may also play an important role in antigen-specific immunotherapy.

Technology in Cancer Research & TreatmentVol. 24
Shandong University of Traditional Chinese Medicine (CN), Shandong Provincial QianFoShan Hospital (CN), Shandong First Medical University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Reduced inequalities
Openalex Percentile: Top 24%
Cancer Immunotherapy and Biomarkers
1.05
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