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Identification of hub genes in hepatocellular carcinoma using integrated bioinformatic analysis
The molecular mechanisms underlying hepatocellular carcinoma (HCC) progression remain largely undefined. Here, we identified 176 commonly upregulated genes in HCC tissues based on three Gene Expression Omnibus datasets and The Cancer Genome Atlas (TCGA) cohort. We integrated survival and methylation...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7138582/ https://www.ncbi.nlm.nih.gov/pubmed/32213663 http://dx.doi.org/10.18632/aging.102969 |
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author | Hua, Shengni Ji, Zhonghua Quan, Yingyao Zhan, Meixiao Wang, Hao Li, Wei Li, Yong He, Xu Lu, Ligong |
author_facet | Hua, Shengni Ji, Zhonghua Quan, Yingyao Zhan, Meixiao Wang, Hao Li, Wei Li, Yong He, Xu Lu, Ligong |
author_sort | Hua, Shengni |
collection | PubMed |
description | The molecular mechanisms underlying hepatocellular carcinoma (HCC) progression remain largely undefined. Here, we identified 176 commonly upregulated genes in HCC tissues based on three Gene Expression Omnibus datasets and The Cancer Genome Atlas (TCGA) cohort. We integrated survival and methylation analyses to further obtain 12 upregulated genes for validation. These genes were overexpressed in HCC tissues at the transcription and protein levels, and increased mRNA levels were related to higher tumor grades and cancer stages. The expression of all markers was negatively associated with overall and disease-free survival in HCC patients. Most of these hub genes can promote HCC proliferation and/or metastasis. These 12 hub genes were also overexpressed and had strong prognostic value in many other cancer types. Methylation and gene copy number analyses indicated that the upregulation of these hub genes was probably due to hypomethylation or increased gene copy numbers. Further, the methylation levels of three genes, KPNA2, MCM3, and LRRC1, were associated with HCC clinical features. Moreover, the levels of most hub genes were related to immune cell infiltration in HCC microenvironments. Finally, we identified three upregulated genes (KPNA2, TARBP1, and RNASEH2A) that could comprehensively and accurately provide diagnostic and prognostic value for HCC patients. |
format | Online Article Text |
id | pubmed-7138582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-71385822020-04-13 Identification of hub genes in hepatocellular carcinoma using integrated bioinformatic analysis Hua, Shengni Ji, Zhonghua Quan, Yingyao Zhan, Meixiao Wang, Hao Li, Wei Li, Yong He, Xu Lu, Ligong Aging (Albany NY) Research Paper The molecular mechanisms underlying hepatocellular carcinoma (HCC) progression remain largely undefined. Here, we identified 176 commonly upregulated genes in HCC tissues based on three Gene Expression Omnibus datasets and The Cancer Genome Atlas (TCGA) cohort. We integrated survival and methylation analyses to further obtain 12 upregulated genes for validation. These genes were overexpressed in HCC tissues at the transcription and protein levels, and increased mRNA levels were related to higher tumor grades and cancer stages. The expression of all markers was negatively associated with overall and disease-free survival in HCC patients. Most of these hub genes can promote HCC proliferation and/or metastasis. These 12 hub genes were also overexpressed and had strong prognostic value in many other cancer types. Methylation and gene copy number analyses indicated that the upregulation of these hub genes was probably due to hypomethylation or increased gene copy numbers. Further, the methylation levels of three genes, KPNA2, MCM3, and LRRC1, were associated with HCC clinical features. Moreover, the levels of most hub genes were related to immune cell infiltration in HCC microenvironments. Finally, we identified three upregulated genes (KPNA2, TARBP1, and RNASEH2A) that could comprehensively and accurately provide diagnostic and prognostic value for HCC patients. Impact Journals 2020-03-26 /pmc/articles/PMC7138582/ /pubmed/32213663 http://dx.doi.org/10.18632/aging.102969 Text en Copyright © 2020 Hua et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Hua, Shengni Ji, Zhonghua Quan, Yingyao Zhan, Meixiao Wang, Hao Li, Wei Li, Yong He, Xu Lu, Ligong Identification of hub genes in hepatocellular carcinoma using integrated bioinformatic analysis |
title | Identification of hub genes in hepatocellular carcinoma using integrated bioinformatic analysis |
title_full | Identification of hub genes in hepatocellular carcinoma using integrated bioinformatic analysis |
title_fullStr | Identification of hub genes in hepatocellular carcinoma using integrated bioinformatic analysis |
title_full_unstemmed | Identification of hub genes in hepatocellular carcinoma using integrated bioinformatic analysis |
title_short | Identification of hub genes in hepatocellular carcinoma using integrated bioinformatic analysis |
title_sort | identification of hub genes in hepatocellular carcinoma using integrated bioinformatic analysis |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7138582/ https://www.ncbi.nlm.nih.gov/pubmed/32213663 http://dx.doi.org/10.18632/aging.102969 |
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