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Comprehensive analysis of lncRNA-mediated ceRNA networkfor hepatocellular carcinoma

BACKGROUND: Hepatocellular carcinoma (HCC) is a high-burden cancer. The molecular mechanism of HCC has not been fully elucidated. Notably, current research has revealed a significant function for long non-coding RNAs (lncRNAs) in the prognosis of patients with HCC. Here, this study aims to construct...

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Autores principales: Chen, Weiqing, Chen, Feihua, Gong, Mouchun, Jin, Zhaoqing, Shu, Lilu, Wang, Zhi-wei, Wang, Jianjiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634570/
https://www.ncbi.nlm.nih.gov/pubmed/36338699
http://dx.doi.org/10.3389/fonc.2022.1042928
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author Chen, Weiqing
Chen, Feihua
Gong, Mouchun
Jin, Zhaoqing
Shu, Lilu
Wang, Zhi-wei
Wang, Jianjiang
author_facet Chen, Weiqing
Chen, Feihua
Gong, Mouchun
Jin, Zhaoqing
Shu, Lilu
Wang, Zhi-wei
Wang, Jianjiang
author_sort Chen, Weiqing
collection PubMed
description BACKGROUND: Hepatocellular carcinoma (HCC) is a high-burden cancer. The molecular mechanism of HCC has not been fully elucidated. Notably, current research has revealed a significant function for long non-coding RNAs (lncRNAs) in the prognosis of patients with HCC. Here, this study aims to construct a regulated lncRNA-mediated ceRNA network and find biological targets for the treatment of HCC. METHODS: Based on the RNA expression patterns from the TCGA, we did an analysis to determine which genes were expressed differently between liver tumor tissues and noncancerous tissues. Then, using bioinformatic tools, we built a lncRNA-miRNA-mRNA ceRNA network and used GO and KEGG functional analyses on the DEmRNAs connected to ceRNA networks. The main lncRNAs in the subnetwork were chosen, and we next looked at the relationships between these lncRNAs and the clinical characteristics of patients with HCC. The prognosis-related genes and immune cells were identified using Kaplan-Meier and Cox proportional hazard analyses, and CIBERSORT was utilized to separate the 22 immune cell types. CCK8 assay was performed to measure cell viability in HCC cells after lncRNA HOTTIP modulation. RESULTS: Differentially expressed mRNA and lncRNAs in HCC and paracancerous tissues were identified. There are 245 lncRNAs, 126 miRNAs, and 1980 mRNAs that are expressed differently in liver tumour tissues than in noncancerous cells. Function analysis showed that mRNAs in ceRNA network were significantly enriched in G1/S transition of mototiv cell cycle, positive regulation of cell cycle process, hepatocellular carcinoma, and cancer related pathways. CD8 T cells and T follicular helper cells had a favourable link with a 0.65 correlation coefficient. Additionally, there was a strong correlation between Eosinophils, activated NK cells, and B memory cells. Strikingly, depletion of lncRNA HOTTIP inhibited viability of HCC cells. In addition, miR-205 upregulation suppressed viability of HCC cells, while miR-205 downregulation repressed viability of HCC cells. Notably, miR-205 depletion rescued HOTTIP depletion-mediated suppression of cell viability in HCC. CONCLUSION: A ceRNA network was created by examining the lncRNA, miRNA, and mRNA expression profiles of liver tumours from the TCGA database. LncRNA HOTTIP promoted cell viability via inhibition of miR-205 in HCC cells.
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spelling pubmed-96345702022-11-05 Comprehensive analysis of lncRNA-mediated ceRNA networkfor hepatocellular carcinoma Chen, Weiqing Chen, Feihua Gong, Mouchun Jin, Zhaoqing Shu, Lilu Wang, Zhi-wei Wang, Jianjiang Front Oncol Oncology BACKGROUND: Hepatocellular carcinoma (HCC) is a high-burden cancer. The molecular mechanism of HCC has not been fully elucidated. Notably, current research has revealed a significant function for long non-coding RNAs (lncRNAs) in the prognosis of patients with HCC. Here, this study aims to construct a regulated lncRNA-mediated ceRNA network and find biological targets for the treatment of HCC. METHODS: Based on the RNA expression patterns from the TCGA, we did an analysis to determine which genes were expressed differently between liver tumor tissues and noncancerous tissues. Then, using bioinformatic tools, we built a lncRNA-miRNA-mRNA ceRNA network and used GO and KEGG functional analyses on the DEmRNAs connected to ceRNA networks. The main lncRNAs in the subnetwork were chosen, and we next looked at the relationships between these lncRNAs and the clinical characteristics of patients with HCC. The prognosis-related genes and immune cells were identified using Kaplan-Meier and Cox proportional hazard analyses, and CIBERSORT was utilized to separate the 22 immune cell types. CCK8 assay was performed to measure cell viability in HCC cells after lncRNA HOTTIP modulation. RESULTS: Differentially expressed mRNA and lncRNAs in HCC and paracancerous tissues were identified. There are 245 lncRNAs, 126 miRNAs, and 1980 mRNAs that are expressed differently in liver tumour tissues than in noncancerous cells. Function analysis showed that mRNAs in ceRNA network were significantly enriched in G1/S transition of mototiv cell cycle, positive regulation of cell cycle process, hepatocellular carcinoma, and cancer related pathways. CD8 T cells and T follicular helper cells had a favourable link with a 0.65 correlation coefficient. Additionally, there was a strong correlation between Eosinophils, activated NK cells, and B memory cells. Strikingly, depletion of lncRNA HOTTIP inhibited viability of HCC cells. In addition, miR-205 upregulation suppressed viability of HCC cells, while miR-205 downregulation repressed viability of HCC cells. Notably, miR-205 depletion rescued HOTTIP depletion-mediated suppression of cell viability in HCC. CONCLUSION: A ceRNA network was created by examining the lncRNA, miRNA, and mRNA expression profiles of liver tumours from the TCGA database. LncRNA HOTTIP promoted cell viability via inhibition of miR-205 in HCC cells. Frontiers Media S.A. 2022-10-21 /pmc/articles/PMC9634570/ /pubmed/36338699 http://dx.doi.org/10.3389/fonc.2022.1042928 Text en Copyright © 2022 Chen, Chen, Gong, Jin, Shu, Wang and Wang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Chen, Weiqing
Chen, Feihua
Gong, Mouchun
Jin, Zhaoqing
Shu, Lilu
Wang, Zhi-wei
Wang, Jianjiang
Comprehensive analysis of lncRNA-mediated ceRNA networkfor hepatocellular carcinoma
title Comprehensive analysis of lncRNA-mediated ceRNA networkfor hepatocellular carcinoma
title_full Comprehensive analysis of lncRNA-mediated ceRNA networkfor hepatocellular carcinoma
title_fullStr Comprehensive analysis of lncRNA-mediated ceRNA networkfor hepatocellular carcinoma
title_full_unstemmed Comprehensive analysis of lncRNA-mediated ceRNA networkfor hepatocellular carcinoma
title_short Comprehensive analysis of lncRNA-mediated ceRNA networkfor hepatocellular carcinoma
title_sort comprehensive analysis of lncrna-mediated cerna networkfor hepatocellular carcinoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634570/
https://www.ncbi.nlm.nih.gov/pubmed/36338699
http://dx.doi.org/10.3389/fonc.2022.1042928
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