ArticleJournal of cellular and molecular medicine2020
Landscape of associations between long non-coding RNAs and infiltrating immune cells in liver hepatocellular carcinoma.
Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Article
- A new marker constructed from immune-related lncRNA pairs can be used to predict clinical treatment effects and prognosis: in-depth exploration of underlying mechanisms in HNSCC.World journal of surgical oncology · 2023Article
- Comprehensive Analysis of SLC17A9 and Its Prognostic Value in Hepatocellular Carcinoma.Frontiers in oncology · 2022Article
- Development and validation of an autophagy-related long non-coding RNA prognostic signature for cervical squamous cell carcinoma and endocervical adenocarcinoma.Frontiers in oncology · 2022Article
- An Immune-Related lncRNA Pairing Model for Predicting the Prognosis and Immune-Infiltrating Cell Condition in Human Ovarian Cancer.BioMed research international · 2022Article
- Exploration of the Immune-Related Long Noncoding RNA Prognostic Signature and Inflammatory Microenvironment for Cervical Cancer.Frontiers in pharmacology · 2022Article
- Identification of Autophagy- and Ferroptosis-Related lncRNAs Functioned through Immune-Related Pathways in Head and Neck Squamous Carcinoma.Life (Basel, Switzerland) · 2021Article
- Landscape of associations between long non-coding RNAs and infiltrating immune cells in liver hepatocellular carcinoma.Journal of cellular and molecular medicine · 2020Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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