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RPL19 Is a Prognostic Biomarker and Promotes Tumor Progression in Hepatocellular Carcinoma
BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignancies, and the therapeutic outcome remains undesirable due to its recurrence and metastasis. Gene dysregulation plays a pivotal role in the occurrence and progression of cancer, and the molecular mechanisms are largely unkno...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327752/ https://www.ncbi.nlm.nih.gov/pubmed/34350180 http://dx.doi.org/10.3389/fcell.2021.686547 |
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author | Rao, Benchen Li, Jianhao Ren, Tong Yang, Jing Zhang, Guizhen Liu, Liwen Wang, Haiyu Huang, Maoxin Ren, Zhigang Yu, Zujiang |
author_facet | Rao, Benchen Li, Jianhao Ren, Tong Yang, Jing Zhang, Guizhen Liu, Liwen Wang, Haiyu Huang, Maoxin Ren, Zhigang Yu, Zujiang |
author_sort | Rao, Benchen |
collection | PubMed |
description | BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignancies, and the therapeutic outcome remains undesirable due to its recurrence and metastasis. Gene dysregulation plays a pivotal role in the occurrence and progression of cancer, and the molecular mechanisms are largely unknown. METHODS: The differentially expressed genes of HCC screened from the GSE39791 dataset were used to conduct weighted gene co-expression network analysis. The selected hub genes were validated in The Cancer Genome Atlas (TCGA) database and 11 HCC datasets from the Gene Expression Omnibus (GEO) database. Then, a tissue microarray comprising 90 HCC specimens and 90 adjacent normal specimens was used to validate the hub genes. Moreover, the Hallmark, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases were used to identify enriched pathways. Then, we conducted the immune infiltration analysis. RESULTS: A total of 17 co-expression modules were obtained by weighted gene co-expression network analysis. The green, blue, and purple modules were the most relevant to HCC samples. Four hub genes, RPL19, RPL35A, RPL27A, and RPS12, were identified. Interestingly, we found that all four genes were highly expressed in HCC and that their high expression was related to a poor prognosis by analyzing the TCGA and GEO databases. Furthermore, we investigated RPL19 in HCC tissue microarrays and demonstrated that RPL19 was overexpressed in tumor tissues compared with non-tumor tissues (p = 0.016). Moreover, overexpression of RPL19 predicted a poor prognosis in hepatocellular carcinoma (p < 0.0007). Then, enrichment analysis revealed that cell cycle pathways were significantly enriched, and bile acid metabolism-related pathways were significantly down-regulated when RPL19 was highly expressed. Furthermore, immune infiltration analysis showed that immune response was suppressed. CONCLUSION: Our study demonstrates that RPL19 may play an important role in promoting tumor progression and is correlated with a poor prognosis in HCC. RPL19 may serve as a promising biomarker and therapeutic target for the precise diagnosis and treatment of HCC in the future. |
format | Online Article Text |
id | pubmed-8327752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83277522021-08-03 RPL19 Is a Prognostic Biomarker and Promotes Tumor Progression in Hepatocellular Carcinoma Rao, Benchen Li, Jianhao Ren, Tong Yang, Jing Zhang, Guizhen Liu, Liwen Wang, Haiyu Huang, Maoxin Ren, Zhigang Yu, Zujiang Front Cell Dev Biol Cell and Developmental Biology BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignancies, and the therapeutic outcome remains undesirable due to its recurrence and metastasis. Gene dysregulation plays a pivotal role in the occurrence and progression of cancer, and the molecular mechanisms are largely unknown. METHODS: The differentially expressed genes of HCC screened from the GSE39791 dataset were used to conduct weighted gene co-expression network analysis. The selected hub genes were validated in The Cancer Genome Atlas (TCGA) database and 11 HCC datasets from the Gene Expression Omnibus (GEO) database. Then, a tissue microarray comprising 90 HCC specimens and 90 adjacent normal specimens was used to validate the hub genes. Moreover, the Hallmark, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases were used to identify enriched pathways. Then, we conducted the immune infiltration analysis. RESULTS: A total of 17 co-expression modules were obtained by weighted gene co-expression network analysis. The green, blue, and purple modules were the most relevant to HCC samples. Four hub genes, RPL19, RPL35A, RPL27A, and RPS12, were identified. Interestingly, we found that all four genes were highly expressed in HCC and that their high expression was related to a poor prognosis by analyzing the TCGA and GEO databases. Furthermore, we investigated RPL19 in HCC tissue microarrays and demonstrated that RPL19 was overexpressed in tumor tissues compared with non-tumor tissues (p = 0.016). Moreover, overexpression of RPL19 predicted a poor prognosis in hepatocellular carcinoma (p < 0.0007). Then, enrichment analysis revealed that cell cycle pathways were significantly enriched, and bile acid metabolism-related pathways were significantly down-regulated when RPL19 was highly expressed. Furthermore, immune infiltration analysis showed that immune response was suppressed. CONCLUSION: Our study demonstrates that RPL19 may play an important role in promoting tumor progression and is correlated with a poor prognosis in HCC. RPL19 may serve as a promising biomarker and therapeutic target for the precise diagnosis and treatment of HCC in the future. Frontiers Media S.A. 2021-07-19 /pmc/articles/PMC8327752/ /pubmed/34350180 http://dx.doi.org/10.3389/fcell.2021.686547 Text en Copyright © 2021 Rao, Li, Ren, Yang, Zhang, Liu, Wang, Huang, Ren and Yu. 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 | Cell and Developmental Biology Rao, Benchen Li, Jianhao Ren, Tong Yang, Jing Zhang, Guizhen Liu, Liwen Wang, Haiyu Huang, Maoxin Ren, Zhigang Yu, Zujiang RPL19 Is a Prognostic Biomarker and Promotes Tumor Progression in Hepatocellular Carcinoma |
title | RPL19 Is a Prognostic Biomarker and Promotes Tumor Progression in Hepatocellular Carcinoma |
title_full | RPL19 Is a Prognostic Biomarker and Promotes Tumor Progression in Hepatocellular Carcinoma |
title_fullStr | RPL19 Is a Prognostic Biomarker and Promotes Tumor Progression in Hepatocellular Carcinoma |
title_full_unstemmed | RPL19 Is a Prognostic Biomarker and Promotes Tumor Progression in Hepatocellular Carcinoma |
title_short | RPL19 Is a Prognostic Biomarker and Promotes Tumor Progression in Hepatocellular Carcinoma |
title_sort | rpl19 is a prognostic biomarker and promotes tumor progression in hepatocellular carcinoma |
topic | Cell and Developmental Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327752/ https://www.ncbi.nlm.nih.gov/pubmed/34350180 http://dx.doi.org/10.3389/fcell.2021.686547 |
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