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Identification of a novel prognostic signature for HCC and analysis of costimulatory molecule-related lncRNA AC099850.3

Costimulatory molecules are involved in initiation of anti-tumor immune responses while long non‐coding RNAs (lncRNAs) regulate the development of various cancers. However, the roles of lncRNA in hepatocellular carcinoma (HCC) have not been fully established. In this study, we aimed at identifying l...

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Autores principales: Wang, Qi, Fang, Qiong, Huang, Yanping, Zhou, Jin, Liu, Meimei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200812/
https://www.ncbi.nlm.nih.gov/pubmed/35705628
http://dx.doi.org/10.1038/s41598-022-13792-z
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author Wang, Qi
Fang, Qiong
Huang, Yanping
Zhou, Jin
Liu, Meimei
author_facet Wang, Qi
Fang, Qiong
Huang, Yanping
Zhou, Jin
Liu, Meimei
author_sort Wang, Qi
collection PubMed
description Costimulatory molecules are involved in initiation of anti-tumor immune responses while long non‐coding RNAs (lncRNAs) regulate the development of various cancers. However, the roles of lncRNA in hepatocellular carcinoma (HCC) have not been fully established. In this study, we aimed at identifying lncRNAs-related costimulatory molecules in HCC and to construct a prognostic signature for predicting the clinical outcomes for HCC patients. Data were downloaded from The Cancer Genome Atlas database for bioinformatics analyses. Costimulatory molecules were obtained from published literature. The R software, SPSS, and GraphPad Prism were used for statistical analyses. A risk model that is based on five costimulatory molecule-related lncRNAs was constructed using lasso and Cox regression analyses. Multivariate regression analysis revealed that the risk score could predict the prognostic outcomes for HCC. Samples in high- and low-risk groups exhibited significant differences in gene set enrichment and immune infiltration levels. Through colony formation and CCK8 assays, we found that AC099850.3 was strongly associated with HCC cell proliferation. We identified and validated a novel costimulatory molecule-related survival model. In addition, AC099850.3 was found to be closely associated with clinical stages and proliferation of HCC cells, making it a potential target for HCC treatment.
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spelling pubmed-92008122022-06-17 Identification of a novel prognostic signature for HCC and analysis of costimulatory molecule-related lncRNA AC099850.3 Wang, Qi Fang, Qiong Huang, Yanping Zhou, Jin Liu, Meimei Sci Rep Article Costimulatory molecules are involved in initiation of anti-tumor immune responses while long non‐coding RNAs (lncRNAs) regulate the development of various cancers. However, the roles of lncRNA in hepatocellular carcinoma (HCC) have not been fully established. In this study, we aimed at identifying lncRNAs-related costimulatory molecules in HCC and to construct a prognostic signature for predicting the clinical outcomes for HCC patients. Data were downloaded from The Cancer Genome Atlas database for bioinformatics analyses. Costimulatory molecules were obtained from published literature. The R software, SPSS, and GraphPad Prism were used for statistical analyses. A risk model that is based on five costimulatory molecule-related lncRNAs was constructed using lasso and Cox regression analyses. Multivariate regression analysis revealed that the risk score could predict the prognostic outcomes for HCC. Samples in high- and low-risk groups exhibited significant differences in gene set enrichment and immune infiltration levels. Through colony formation and CCK8 assays, we found that AC099850.3 was strongly associated with HCC cell proliferation. We identified and validated a novel costimulatory molecule-related survival model. In addition, AC099850.3 was found to be closely associated with clinical stages and proliferation of HCC cells, making it a potential target for HCC treatment. Nature Publishing Group UK 2022-06-15 /pmc/articles/PMC9200812/ /pubmed/35705628 http://dx.doi.org/10.1038/s41598-022-13792-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Wang, Qi
Fang, Qiong
Huang, Yanping
Zhou, Jin
Liu, Meimei
Identification of a novel prognostic signature for HCC and analysis of costimulatory molecule-related lncRNA AC099850.3
title Identification of a novel prognostic signature for HCC and analysis of costimulatory molecule-related lncRNA AC099850.3
title_full Identification of a novel prognostic signature for HCC and analysis of costimulatory molecule-related lncRNA AC099850.3
title_fullStr Identification of a novel prognostic signature for HCC and analysis of costimulatory molecule-related lncRNA AC099850.3
title_full_unstemmed Identification of a novel prognostic signature for HCC and analysis of costimulatory molecule-related lncRNA AC099850.3
title_short Identification of a novel prognostic signature for HCC and analysis of costimulatory molecule-related lncRNA AC099850.3
title_sort identification of a novel prognostic signature for hcc and analysis of costimulatory molecule-related lncrna ac099850.3
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200812/
https://www.ncbi.nlm.nih.gov/pubmed/35705628
http://dx.doi.org/10.1038/s41598-022-13792-z
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