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Multi-Omic Analyses of the m(5)C Regulator ALYREF Reveal Its Essential Roles in Hepatocellular Carcinoma
The ALYREF protein acts as a crucial epigenetic regulator in several cancers. However, the specific expression levels and functional roles of ALYREF in cancers are largely unknown, including for hepatocellular carcinoma (HCC). In a pan-cancer tissue analysis that included HCC, we assessed the expres...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8343179/ https://www.ncbi.nlm.nih.gov/pubmed/34367948 http://dx.doi.org/10.3389/fonc.2021.633415 |
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author | Xue, Chen Zhao, Yalei Li, Ganglei Li, Lanjuan |
author_facet | Xue, Chen Zhao, Yalei Li, Ganglei Li, Lanjuan |
author_sort | Xue, Chen |
collection | PubMed |
description | The ALYREF protein acts as a crucial epigenetic regulator in several cancers. However, the specific expression levels and functional roles of ALYREF in cancers are largely unknown, including for hepatocellular carcinoma (HCC). In a pan-cancer tissue analysis that included HCC, we assessed the expression of ALYREF compared to normal tissues using The Cancer Genome Atlas database. Associations between ALYREF gene expression and the clinical characteristics of HCC patient samples were assessed using the UALCAN database. Kaplan-Meier plots were performed to assess HCC patient prognosis, and the TIMER database was used to explore associations between ALYREF expression and immune-cell infiltrations. The same methods were used to assess eIF4A3 expression in HCC patient samples. In addition, ALYREF- and elF4A3-related differentially expressed genes (DEGs) were determined using LinkedOmics, associated protein functionalities were predicted for positively associated DEGs, and both the TargetScan and miRDB databases were used to predict potential upstream miRNAs for control of ALYREF and eIF4A3 expression. We found that ALYREF gene expression was dysregulated in several cancers and was significantly elevated in HCC patient tissue samples and HCC cell lines. The overexpression of ALYREF was significantly related to both advanced tumor-node-metastasis stages and poor HCC prognosis. Furthermore, we found that eIF4A3 expression was significantly correlated with ALYREF expression, and that upregulated eIF4A3 was significantly associated with poor HCC patient outcomes. In the protein-protein interaction network, we identified eight hub genes based on the positively associated DEGs in common between ALYREF and eIF4A3, and the high expression levels of these hub genes were positively associated with patient clinical outcomes. In addition, we identified miR-4666a-5p and miR-6124 as potential regulators of ALYREF and eIF4A3 expression. These findings suggest that increased ALYREF expression may function as a novel biomarker for both HCC diagnosis and prognosis predictions. |
format | Online Article Text |
id | pubmed-8343179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83431792021-08-07 Multi-Omic Analyses of the m(5)C Regulator ALYREF Reveal Its Essential Roles in Hepatocellular Carcinoma Xue, Chen Zhao, Yalei Li, Ganglei Li, Lanjuan Front Oncol Oncology The ALYREF protein acts as a crucial epigenetic regulator in several cancers. However, the specific expression levels and functional roles of ALYREF in cancers are largely unknown, including for hepatocellular carcinoma (HCC). In a pan-cancer tissue analysis that included HCC, we assessed the expression of ALYREF compared to normal tissues using The Cancer Genome Atlas database. Associations between ALYREF gene expression and the clinical characteristics of HCC patient samples were assessed using the UALCAN database. Kaplan-Meier plots were performed to assess HCC patient prognosis, and the TIMER database was used to explore associations between ALYREF expression and immune-cell infiltrations. The same methods were used to assess eIF4A3 expression in HCC patient samples. In addition, ALYREF- and elF4A3-related differentially expressed genes (DEGs) were determined using LinkedOmics, associated protein functionalities were predicted for positively associated DEGs, and both the TargetScan and miRDB databases were used to predict potential upstream miRNAs for control of ALYREF and eIF4A3 expression. We found that ALYREF gene expression was dysregulated in several cancers and was significantly elevated in HCC patient tissue samples and HCC cell lines. The overexpression of ALYREF was significantly related to both advanced tumor-node-metastasis stages and poor HCC prognosis. Furthermore, we found that eIF4A3 expression was significantly correlated with ALYREF expression, and that upregulated eIF4A3 was significantly associated with poor HCC patient outcomes. In the protein-protein interaction network, we identified eight hub genes based on the positively associated DEGs in common between ALYREF and eIF4A3, and the high expression levels of these hub genes were positively associated with patient clinical outcomes. In addition, we identified miR-4666a-5p and miR-6124 as potential regulators of ALYREF and eIF4A3 expression. These findings suggest that increased ALYREF expression may function as a novel biomarker for both HCC diagnosis and prognosis predictions. Frontiers Media S.A. 2021-07-23 /pmc/articles/PMC8343179/ /pubmed/34367948 http://dx.doi.org/10.3389/fonc.2021.633415 Text en Copyright © 2021 Xue, Zhao, Li and Li 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 Xue, Chen Zhao, Yalei Li, Ganglei Li, Lanjuan Multi-Omic Analyses of the m(5)C Regulator ALYREF Reveal Its Essential Roles in Hepatocellular Carcinoma |
title | Multi-Omic Analyses of the m(5)C Regulator ALYREF Reveal Its Essential Roles in Hepatocellular Carcinoma |
title_full | Multi-Omic Analyses of the m(5)C Regulator ALYREF Reveal Its Essential Roles in Hepatocellular Carcinoma |
title_fullStr | Multi-Omic Analyses of the m(5)C Regulator ALYREF Reveal Its Essential Roles in Hepatocellular Carcinoma |
title_full_unstemmed | Multi-Omic Analyses of the m(5)C Regulator ALYREF Reveal Its Essential Roles in Hepatocellular Carcinoma |
title_short | Multi-Omic Analyses of the m(5)C Regulator ALYREF Reveal Its Essential Roles in Hepatocellular Carcinoma |
title_sort | multi-omic analyses of the m(5)c regulator alyref reveal its essential roles in hepatocellular carcinoma |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8343179/ https://www.ncbi.nlm.nih.gov/pubmed/34367948 http://dx.doi.org/10.3389/fonc.2021.633415 |
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