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Landscape of associations between long non-coding RNAs and infiltrating immune cells in liver hepatocellular carcinoma.
Li, Li; Song, Xiaowei; Lv, Yanju; Jiang, Qiuying; Fan, Chengjuan; Huang, Dayong.
Afiliação
  • Li L; Department of Oncology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Song X; Department of Oncology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Lv Y; Department of Oncology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Jiang Q; Department of Oncology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Fan C; Department of Oncology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Huang D; Department of Oncology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
J Cell Mol Med ; 24(19): 11243-11253, 2020 10.
Article em En | MEDLINE | ID: mdl-32910548
Liver hepatocellular carcinoma (LIHC) can be detected by the immune system; however, it acquires features for evasion of immune surveillance during its origin and development. Long non-coding RNAs (lncRNAs) are critical as immune regulators in cancers; nevertheless, the biological functions and mechanisms of lncRNAs in evasion of immune system by LIHC remain unclear. In this study, an integrated and computational approach was developed to identify immune-related lncRNAs and to divide LIHC patients into diverse immune-related risk groups based on the expression profiles of coding genes and lncRNAs. LIHC-specific genes and lncRNAs in 17 immune cell populations were identified and analysed. Gene and lncRNA co-expressing networks for diverse immune cell populations were constructed and analysed. Some imported immune-related lncRNAs, such as MIR9-3HG, were also identified. The LIHC patients comprised three different groups based on immune-related risk. LIHC patients possessing a greater diversity of immune cell populations had better survival prognosis. The collective data are evidence of a credible computational model that can prioritize novel immune-related lncRNAs and depict the atlas of immune-related lncRNAs in LIHC. These findings will further the understanding of lncRNA function and advance the identification of immunotherapy targets in LIHC.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Regulação Neoplásica da Expressão Gênica / Carcinoma Hepatocelular / RNA Longo não Codificante / Neoplasias Hepáticas Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Regulação Neoplásica da Expressão Gênica / Carcinoma Hepatocelular / RNA Longo não Codificante / Neoplasias Hepáticas Idioma: En Ano de publicação: 2020 Tipo de documento: Article