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Bioinformatics-based analysis of SUMOylation-related genes in hepatocellular carcinoma reveals a role of upregulated SAE1 in promoting cell proliferation
The function of small ubiquitin-like modifier (SUMO)-related genes in hepatocellular carcinoma (HCC) remains unclear. This study aimed to analyze the expression profile and prognostic relevance of SUMO-related genes using publicly available data. A set of bioinformatics tools and experiments were in...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
De Gruyter
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263891/ https://www.ncbi.nlm.nih.gov/pubmed/35859792 http://dx.doi.org/10.1515/med-2022-0510 |
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author | Liu, Yang Wang, Xiang Zeng, Xingzhi Wu, Yinghua Liu, Xinrong Tan, Juan Li, Xiaoyan |
author_facet | Liu, Yang Wang, Xiang Zeng, Xingzhi Wu, Yinghua Liu, Xinrong Tan, Juan Li, Xiaoyan |
author_sort | Liu, Yang |
collection | PubMed |
description | The function of small ubiquitin-like modifier (SUMO)-related genes in hepatocellular carcinoma (HCC) remains unclear. This study aimed to analyze the expression profile and prognostic relevance of SUMO-related genes using publicly available data. A set of bioinformatics tools and experiments were integrated to explore the mechanism of the genes of interest. The least absolute shrinkage and selection operator Cox regression analysis was used to construct a prognostic model. SUMO-2 and SUMO-activating enzyme subunit 1 (SAE1) were upregulated in HCC. The enrichment analysis indicated that SUMO-2 and SAE1 might regulate the cell cycle. The downregulation of SAE1 inhibited the proliferation of HCC cells, whereas the upregulation of the gene promoted cell proliferation. IGF2BP3 contributed to the upregulation of SAE1 in an N6-methyladenosine (m6A)-dependent way. Eventually, an SAE1-related risk score (SRRS) was developed and validated in HCC. SRRS could serve as an independent prognostic factor and predict the efficiency of transarterial chemoembolization in patients with HCC. |
format | Online Article Text |
id | pubmed-9263891 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | De Gruyter |
record_format | MEDLINE/PubMed |
spelling | pubmed-92638912022-07-19 Bioinformatics-based analysis of SUMOylation-related genes in hepatocellular carcinoma reveals a role of upregulated SAE1 in promoting cell proliferation Liu, Yang Wang, Xiang Zeng, Xingzhi Wu, Yinghua Liu, Xinrong Tan, Juan Li, Xiaoyan Open Med (Wars) Research Article The function of small ubiquitin-like modifier (SUMO)-related genes in hepatocellular carcinoma (HCC) remains unclear. This study aimed to analyze the expression profile and prognostic relevance of SUMO-related genes using publicly available data. A set of bioinformatics tools and experiments were integrated to explore the mechanism of the genes of interest. The least absolute shrinkage and selection operator Cox regression analysis was used to construct a prognostic model. SUMO-2 and SUMO-activating enzyme subunit 1 (SAE1) were upregulated in HCC. The enrichment analysis indicated that SUMO-2 and SAE1 might regulate the cell cycle. The downregulation of SAE1 inhibited the proliferation of HCC cells, whereas the upregulation of the gene promoted cell proliferation. IGF2BP3 contributed to the upregulation of SAE1 in an N6-methyladenosine (m6A)-dependent way. Eventually, an SAE1-related risk score (SRRS) was developed and validated in HCC. SRRS could serve as an independent prognostic factor and predict the efficiency of transarterial chemoembolization in patients with HCC. De Gruyter 2022-07-06 /pmc/articles/PMC9263891/ /pubmed/35859792 http://dx.doi.org/10.1515/med-2022-0510 Text en © 2022 Yang Liu et al., published by De Gruyter https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License. |
spellingShingle | Research Article Liu, Yang Wang, Xiang Zeng, Xingzhi Wu, Yinghua Liu, Xinrong Tan, Juan Li, Xiaoyan Bioinformatics-based analysis of SUMOylation-related genes in hepatocellular carcinoma reveals a role of upregulated SAE1 in promoting cell proliferation |
title | Bioinformatics-based analysis of SUMOylation-related genes in hepatocellular carcinoma reveals a role of upregulated SAE1 in promoting cell proliferation |
title_full | Bioinformatics-based analysis of SUMOylation-related genes in hepatocellular carcinoma reveals a role of upregulated SAE1 in promoting cell proliferation |
title_fullStr | Bioinformatics-based analysis of SUMOylation-related genes in hepatocellular carcinoma reveals a role of upregulated SAE1 in promoting cell proliferation |
title_full_unstemmed | Bioinformatics-based analysis of SUMOylation-related genes in hepatocellular carcinoma reveals a role of upregulated SAE1 in promoting cell proliferation |
title_short | Bioinformatics-based analysis of SUMOylation-related genes in hepatocellular carcinoma reveals a role of upregulated SAE1 in promoting cell proliferation |
title_sort | bioinformatics-based analysis of sumoylation-related genes in hepatocellular carcinoma reveals a role of upregulated sae1 in promoting cell proliferation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263891/ https://www.ncbi.nlm.nih.gov/pubmed/35859792 http://dx.doi.org/10.1515/med-2022-0510 |
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