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Single-cell RNA-seq and bulk RNA-seq explore the prognostic value of exhausted T cells in hepatocellular carcinoma

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机构： [1]The First Clinical Medical College, Lanzhou University, Lanzhou, China. [2]The Second Department of Gastrointestinal Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong, China. [3]Department of Oncology, Yantai Affiliated Hospital of Binzhou Medical University, The Second Clinical Medical College of Binzhou Medical University, Yantai, China. [4]Gansu Academy of Traditional Chinese Medicine, Lanzhou, China. [5]Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.

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关键词： bioinformatics tumours

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Hepatocellular carcinoma (HCC) remains a worldwide health problem. Mounting evidence indicates that exhausted T cells play a critical role in the progress and treatment of HCC. Therefore, a detailed characterisation of exhausted T cells and their clinical significance warrants further investigation in HCC. Based on the GSE146115, we presented a comprehensive single-cell Atlas in HCC. Pseudo-time analysis revealed that tumour heterogeneity progressively increased, and the exhausted T cells gradually appeared during tumour progression. Functional enrichment analysis revealed that the evolutionary process of exhausted T cells mainly contained the pathway of cadherin binding, proteasome, cell cycle, and T cell receptor regulation of apoptosis. In the International Cancer Genome Consortium database, we divided patients into three clusters with the T cell evolution-associated genes. We found that the exhausted T cells are significantly related to poor outcomes through immunity and survival analysis. In The Cancer Genome Atlas database, the authors enrolled weighted gene co-expression network analysis, univariate Cox analysis, and Lasso Cox analysis, then screened the 19 core genes in T cells evolution and built a robust prognostic model. This study offers a fresh view on evaluating the patients' outcomes from an exhausted T cells perspective and might help clinicians develop therapeutic systems.© 2023 The Authors. IET Systems Biology published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.

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出版当年[2023]版：

大类 | 4 区生物学

小类 | 4 区细胞生物学 4 区数学与计算生物学

最新[2023]版：

大类 | 4 区生物学

小类 | 4 区细胞生物学 4 区数学与计算生物学

第一作者：

第一作者机构： [1]The First Clinical Medical College, Lanzhou University, Lanzhou, China. [2]The Second Department of Gastrointestinal Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.

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通讯机构： [1]The First Clinical Medical College, Lanzhou University, Lanzhou, China. [4]Gansu Academy of Traditional Chinese Medicine, Lanzhou, China.

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