研究概要
我们的发现表明,非常规T细胞中的免疫衰老可能在HCC进展中发挥作用。
中文摘要
衰老细胞在肝细胞癌(HCC)中的积累是公认的特征,但其具体类型和预后意义仍在研究中。本研究旨在利用公开的批量及单细胞mRNA测序数据,描绘HCC中衰老细胞的类型及其衰老模式。通过基因表达和基因集富集分析,我们在HCC样本中识别出不同的衰老模式。值得注意的是,非常规T细胞,特别是自然杀伤T细胞和γδT细胞,被发现是主要的衰老细胞类型。这些细胞表现出与DNA损伤、衰老及淋巴细胞活化负调控相关的通路富集。此外,我们观察到mTOR信号通路上调,其与衰老相关基因的表达呈正相关。这提示mTOR在HCC衰老中可能具有调控作用。引人注目的是,衰老标志物(包括p16 INK4A、p21和GLB1)表达升高的患者总生存率显著降低。我们的发现表明,非常规T细胞的免疫衰老可能在HCC进展中发挥作用。靶向mTOR通路或清除衰老非常规T细胞的潜在治疗意义值得进一步探索,以改善HCC患者的预后。
展开英文摘要原文
Accumulation of senescent cells is a recognized feature in hepatocellular carcinoma (HCC), but their specific types and prognostic implications remain under investigation. This study aimed to delineate senescent cell types and their senescent patterns in HCC using publicly available bulk and single-cell mRNA sequencing data. Through gene expression and gene set enrichment analysis, we identified distinct senescent patterns within HCC samples. Notably, unconventional T cells, specifically natural killer T cells and γδT cells, were found to be the predominant senescent cell types. These cells exhibited enriched pathways related to DNA damage, senescence and the negative regulation of lymphocyte activation. Furthermore, we observed upregulation of the mTOR signaling pathway, which correlated positively with the expression of senescence-associated genes. This suggests a potential regulatory role for mTOR in the senescence of HCC. Strikingly, patients with elevated expression of senescence markers, including p16 INK4A , p21, and GLB1, demonstrated significantly reduced overall survival rates. Our findings indicate that immunosenescence in unconventional T cells may play a role in HCC progression. The potential therapeutic implications of targeting the mTOR pathway or eliminating senescent unconventional T cells warrant further exploration to improve HCC patient outcomes.
论文信息
- 作者
- Li R、Li Z、Luo W、Zhu X、Luo B
- 第一作者单位
- Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.China
- 通讯作者单位
- Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China. Electronic address: luobm@mail.sysu.edu.cn.China
- 文献类型
- 非美国政府资助研究
- 期刊
- Computational biology and chemistry2024 Oct