t细胞受体谱的特征预测肝细胞癌患者的生存状况

IF 2.8 4区 医学 Q3 ONCOLOGY
Technology in Cancer Research & Treatment Pub Date : 2025-01-01 Epub Date: 2025-03-28 DOI:10.1177/15330338251329699
Fengyan Wang, Li Deng, Ziqiang Li, Qiwei Cao, Runze Jiang, Changqing Xu, Jing Yang
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引用次数: 0

摘要

目的肝细胞癌(HCC)是世界上最常见的肝脏恶性肿瘤,肿瘤浸润性T细胞已被证明与HCC的预后密切相关。本研究探讨了T细胞受体(TCR)库表征作为预测生存差异的生物标志物的潜力和有效性。方法本研究采用高通量测序技术,系统分析23例HCC长期存活者和8例短期存活者肿瘤组织中TCR谱的特征。结果HCC长期存活者的TCR组成多样性低于短期存活者。此外,在V和J基因片段中,长存活者TRBJ1-3、TRBV10-1、TRBV15和TRBV6-5的使用率显著较高,TRBJ2-2的使用率较低。主成分分析(PCA)和互补决定区3 (CDR3)序列的基序图都能明显区分短存活和长存活。与SS组相比,LS组的CDR3序列有5个上调,1个下调。根据TCR全库的特点,我们还建立了肝癌患者生存相关评价体系和生存期预测模型。结论本研究通过阐明长期和短期存活HCC患者TCR重排谱的差异,增加了对HCC患者TCR重排谱的现有知识。此外,我们的分析还发现了一些与生存显著相关的TCR基因,这些基因不仅可以作为预后生物标志物,还可以在抗原特异性免疫治疗中发挥重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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

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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来源期刊
CiteScore
4.40
自引率
0.00%
发文量
202
审稿时长
2 months
期刊介绍: Technology in Cancer Research & Treatment (TCRT) is a JCR-ranked, broad-spectrum, open access, peer-reviewed publication whose aim is to provide researchers and clinicians with a platform to share and discuss developments in the prevention, diagnosis, treatment, and monitoring of cancer.
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