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G2/M checkpoint plays a vital role at the early stage of HCC by analysis of key pathways and genes
The present study was designed to explore the molecular mechanism at the early stage of hepatocarcinoma (HCC) and identify the candidate genes and pathways changed significantly. We downloaded the gene expression file dataset GSE6764 from GEO, adopted the Robust Multi-array Average (RMA) algorithm t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5652707/ https://www.ncbi.nlm.nih.gov/pubmed/29100313 http://dx.doi.org/10.18632/oncotarget.19351 |
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author | Yin, Li Chang, Cuifang Xu, Cunshuan |
author_facet | Yin, Li Chang, Cuifang Xu, Cunshuan |
author_sort | Yin, Li |
collection | PubMed |
description | The present study was designed to explore the molecular mechanism at the early stage of hepatocarcinoma (HCC) and identify the candidate genes and pathways changed significantly. We downloaded the gene expression file dataset GSE6764 from GEO, adopted the Robust Multi-array Average (RMA) algorithm to preprocess the raw file. 797 differentially expressed genes (DEGs) were screened out based on the SAM method using R language. Ingenuity Pathway Analysis (IPA) was used to perform canonical pathway analysis in order to calculate the most significantly changed pathways and predict the upstream regulators. In order to confirm the results from the DEGs which based on the individual gene level, the gene set enrichment analysis (GSEA) was done from the gene set level and the leading edge analysis was performed to find out the most appeared genes in several gene sets. The PPI network was built using GeneMANIA and the key genes were calculated using cytoHubba plugin based on cytoscape 3.4.0. We found that the Cell Cycle: G2/M DNA damage checkpoint regulation is the top-ranked pathways at the early stage of HCC by IPA. The high expression of several genes including CCNB1, CDC25B, XPO1, GMPS, KPNA2 and MELK is correlated with high risk, poor prognosis and shorter overall survival time in HCC patients by use of Kaplan-Meier Survival analysis. Taken together, our study showed that the G2/M checkpoint plays a vital role at the early HCC and the genes participate in the process may serve as biomarkers for the diagnosis and prognosis. |
format | Online Article Text |
id | pubmed-5652707 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-56527072017-11-02 G2/M checkpoint plays a vital role at the early stage of HCC by analysis of key pathways and genes Yin, Li Chang, Cuifang Xu, Cunshuan Oncotarget Research Paper The present study was designed to explore the molecular mechanism at the early stage of hepatocarcinoma (HCC) and identify the candidate genes and pathways changed significantly. We downloaded the gene expression file dataset GSE6764 from GEO, adopted the Robust Multi-array Average (RMA) algorithm to preprocess the raw file. 797 differentially expressed genes (DEGs) were screened out based on the SAM method using R language. Ingenuity Pathway Analysis (IPA) was used to perform canonical pathway analysis in order to calculate the most significantly changed pathways and predict the upstream regulators. In order to confirm the results from the DEGs which based on the individual gene level, the gene set enrichment analysis (GSEA) was done from the gene set level and the leading edge analysis was performed to find out the most appeared genes in several gene sets. The PPI network was built using GeneMANIA and the key genes were calculated using cytoHubba plugin based on cytoscape 3.4.0. We found that the Cell Cycle: G2/M DNA damage checkpoint regulation is the top-ranked pathways at the early stage of HCC by IPA. The high expression of several genes including CCNB1, CDC25B, XPO1, GMPS, KPNA2 and MELK is correlated with high risk, poor prognosis and shorter overall survival time in HCC patients by use of Kaplan-Meier Survival analysis. Taken together, our study showed that the G2/M checkpoint plays a vital role at the early HCC and the genes participate in the process may serve as biomarkers for the diagnosis and prognosis. Impact Journals LLC 2017-07-18 /pmc/articles/PMC5652707/ /pubmed/29100313 http://dx.doi.org/10.18632/oncotarget.19351 Text en Copyright: © 2017 Yin 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 3.0 (http://creativecommons.org/licenses/by/3.0/) (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 Yin, Li Chang, Cuifang Xu, Cunshuan G2/M checkpoint plays a vital role at the early stage of HCC by analysis of key pathways and genes |
title | G2/M checkpoint plays a vital role at the early stage of HCC by analysis of key pathways and genes |
title_full | G2/M checkpoint plays a vital role at the early stage of HCC by analysis of key pathways and genes |
title_fullStr | G2/M checkpoint plays a vital role at the early stage of HCC by analysis of key pathways and genes |
title_full_unstemmed | G2/M checkpoint plays a vital role at the early stage of HCC by analysis of key pathways and genes |
title_short | G2/M checkpoint plays a vital role at the early stage of HCC by analysis of key pathways and genes |
title_sort | g2/m checkpoint plays a vital role at the early stage of hcc by analysis of key pathways and genes |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5652707/ https://www.ncbi.nlm.nih.gov/pubmed/29100313 http://dx.doi.org/10.18632/oncotarget.19351 |
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