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Identification of prognostic alternative splicing events related to the immune microenvironment of hepatocellular carcinoma

BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors in the world, and its 5-year survival rate is less than 20%, despite various treatments being available. Increasing evidence indicates that alternative splicing (AS) plays a nonnegligible role in the formation and...

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Autores principales: Yu, Shanshan, Cai, Luya, Liu, Chuan, Gu, Ruihong, Cai, Lingyi, Zhuo, Leying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034091/
https://www.ncbi.nlm.nih.gov/pubmed/33832428
http://dx.doi.org/10.1186/s10020-021-00294-3
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author Yu, Shanshan
Cai, Luya
Liu, Chuan
Gu, Ruihong
Cai, Lingyi
Zhuo, Leying
author_facet Yu, Shanshan
Cai, Luya
Liu, Chuan
Gu, Ruihong
Cai, Lingyi
Zhuo, Leying
author_sort Yu, Shanshan
collection PubMed
description BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors in the world, and its 5-year survival rate is less than 20%, despite various treatments being available. Increasing evidence indicates that alternative splicing (AS) plays a nonnegligible role in the formation and development of the tumor microenvironment (TME). However, the comprehensive analysis of the impact on prognostic AS events on immune-related perspectives in HCC is lacking but urgently needed. METHODS: The transcriptional data and clinical information of HCC patients were downloaded from TCGA (The Cancer Genome Atlas) database for calculating immune and stromal scores by ESTIMATE algorithm. We then divided patients into high/low score groups and explored their prognostic significance using Kaplan–Meier curves. Based on stromal and immune scores, differentially expressed AS events (DEASs) were screened and evaluated with functional enrichment analysis. Additionally, a risk score model was established by applying univariate and multivariate Cox regression analyses. Finally, gene set variation analysis (GSVA) was adopted to explore differences in biological behaviors between the high- and low-risk subgroups. RESULTS: A total of 370 HCC patients with complete and qualified corresponding data were included in the subsequent analysis. According to the results of ESTIMATE analysis, we observed that the high immune/stromal score group had a longer survival probability, which was significantly correlated with prognosis in HCC patients. In addition, 467 stromal/immune score-related DEASs were identified, and enrichment analysis revealed that DEASs were significantly enriched in pathways related to HCC tumorigenesis and the immune microenvironment. More importantly, the final prognostic signature containing 16 DEASs showed powerful predictive ability. Finally, GSVA demonstrated that activation of carcinogenic pathways and immune-related pathways in the high-risk group may lead to poor prognosis. CONCLUSIONS: Collectively, these outcomes revealed prognostic AS events related to carcinogenesis and the immune microenvironment, which may yield new directions for HCC immunotherapy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s10020-021-00294-3.
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spelling pubmed-80340912021-04-09 Identification of prognostic alternative splicing events related to the immune microenvironment of hepatocellular carcinoma Yu, Shanshan Cai, Luya Liu, Chuan Gu, Ruihong Cai, Lingyi Zhuo, Leying Mol Med Research Article BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors in the world, and its 5-year survival rate is less than 20%, despite various treatments being available. Increasing evidence indicates that alternative splicing (AS) plays a nonnegligible role in the formation and development of the tumor microenvironment (TME). However, the comprehensive analysis of the impact on prognostic AS events on immune-related perspectives in HCC is lacking but urgently needed. METHODS: The transcriptional data and clinical information of HCC patients were downloaded from TCGA (The Cancer Genome Atlas) database for calculating immune and stromal scores by ESTIMATE algorithm. We then divided patients into high/low score groups and explored their prognostic significance using Kaplan–Meier curves. Based on stromal and immune scores, differentially expressed AS events (DEASs) were screened and evaluated with functional enrichment analysis. Additionally, a risk score model was established by applying univariate and multivariate Cox regression analyses. Finally, gene set variation analysis (GSVA) was adopted to explore differences in biological behaviors between the high- and low-risk subgroups. RESULTS: A total of 370 HCC patients with complete and qualified corresponding data were included in the subsequent analysis. According to the results of ESTIMATE analysis, we observed that the high immune/stromal score group had a longer survival probability, which was significantly correlated with prognosis in HCC patients. In addition, 467 stromal/immune score-related DEASs were identified, and enrichment analysis revealed that DEASs were significantly enriched in pathways related to HCC tumorigenesis and the immune microenvironment. More importantly, the final prognostic signature containing 16 DEASs showed powerful predictive ability. Finally, GSVA demonstrated that activation of carcinogenic pathways and immune-related pathways in the high-risk group may lead to poor prognosis. CONCLUSIONS: Collectively, these outcomes revealed prognostic AS events related to carcinogenesis and the immune microenvironment, which may yield new directions for HCC immunotherapy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s10020-021-00294-3. BioMed Central 2021-04-08 /pmc/articles/PMC8034091/ /pubmed/33832428 http://dx.doi.org/10.1186/s10020-021-00294-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Research Article
Yu, Shanshan
Cai, Luya
Liu, Chuan
Gu, Ruihong
Cai, Lingyi
Zhuo, Leying
Identification of prognostic alternative splicing events related to the immune microenvironment of hepatocellular carcinoma
title Identification of prognostic alternative splicing events related to the immune microenvironment of hepatocellular carcinoma
title_full Identification of prognostic alternative splicing events related to the immune microenvironment of hepatocellular carcinoma
title_fullStr Identification of prognostic alternative splicing events related to the immune microenvironment of hepatocellular carcinoma
title_full_unstemmed Identification of prognostic alternative splicing events related to the immune microenvironment of hepatocellular carcinoma
title_short Identification of prognostic alternative splicing events related to the immune microenvironment of hepatocellular carcinoma
title_sort identification of prognostic alternative splicing events related to the immune microenvironment of hepatocellular carcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034091/
https://www.ncbi.nlm.nih.gov/pubmed/33832428
http://dx.doi.org/10.1186/s10020-021-00294-3
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