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The prognostic value of HGF-c-MET signaling pathway in Gastric Cancer: a study based on TCGA and GEO databases
Gastric cancer is a heterogeneous tumor that underlying molecular mechanisms are largely unclear. This study aimed to elucidate the expression level of HGF-c-MET in gastric cancer patients and to investigate the prognostic and diagnostic value of HGF-c-MET. In silico analysis of the TCGA and GEO dat...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7415389/ https://www.ncbi.nlm.nih.gov/pubmed/32788873 http://dx.doi.org/10.7150/ijms.44952 |
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author | Wang, Chao Xi, Wenqi Ji, Jun Cai, Qu Zhao, Qianfu Jiang, Jinling Zhou, Chenfei Shi, Min Zhang, Huan Zhu, Zhenggang Zhang, Jun |
author_facet | Wang, Chao Xi, Wenqi Ji, Jun Cai, Qu Zhao, Qianfu Jiang, Jinling Zhou, Chenfei Shi, Min Zhang, Huan Zhu, Zhenggang Zhang, Jun |
author_sort | Wang, Chao |
collection | PubMed |
description | Gastric cancer is a heterogeneous tumor that underlying molecular mechanisms are largely unclear. This study aimed to elucidate the expression level of HGF-c-MET in gastric cancer patients and to investigate the prognostic and diagnostic value of HGF-c-MET. In silico analysis of the TCGA and GEO database found that HGF and c-MET mRNA expression are significantly higher in gastric cancer tissues than those in peritumor tissues. Both higher mRNA expression of HGF and c-MET were associated with a poorer prognosis. c-MET expression was modulated by methylation in the promoter regions. HGF was positively correlated with CD8+ T cell, CD4+ T cell, macrophage, neutrophil and dendritic cell. Furthermore, functional enrichment analysis and protein-protein interaction networks further shown that HGF-c-MET and related proteins mainly participated in growth factor receptor binding, protein tyrosine kinase activity and signaling receptor binding. Finally, outcome of GSEA analysis showed 13 shared KEGG pathways enriched in high expressed group of HGF and c-MET. |
format | Online Article Text |
id | pubmed-7415389 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-74153892020-08-11 The prognostic value of HGF-c-MET signaling pathway in Gastric Cancer: a study based on TCGA and GEO databases Wang, Chao Xi, Wenqi Ji, Jun Cai, Qu Zhao, Qianfu Jiang, Jinling Zhou, Chenfei Shi, Min Zhang, Huan Zhu, Zhenggang Zhang, Jun Int J Med Sci Research Paper Gastric cancer is a heterogeneous tumor that underlying molecular mechanisms are largely unclear. This study aimed to elucidate the expression level of HGF-c-MET in gastric cancer patients and to investigate the prognostic and diagnostic value of HGF-c-MET. In silico analysis of the TCGA and GEO database found that HGF and c-MET mRNA expression are significantly higher in gastric cancer tissues than those in peritumor tissues. Both higher mRNA expression of HGF and c-MET were associated with a poorer prognosis. c-MET expression was modulated by methylation in the promoter regions. HGF was positively correlated with CD8+ T cell, CD4+ T cell, macrophage, neutrophil and dendritic cell. Furthermore, functional enrichment analysis and protein-protein interaction networks further shown that HGF-c-MET and related proteins mainly participated in growth factor receptor binding, protein tyrosine kinase activity and signaling receptor binding. Finally, outcome of GSEA analysis showed 13 shared KEGG pathways enriched in high expressed group of HGF and c-MET. Ivyspring International Publisher 2020-07-19 /pmc/articles/PMC7415389/ /pubmed/32788873 http://dx.doi.org/10.7150/ijms.44952 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Wang, Chao Xi, Wenqi Ji, Jun Cai, Qu Zhao, Qianfu Jiang, Jinling Zhou, Chenfei Shi, Min Zhang, Huan Zhu, Zhenggang Zhang, Jun The prognostic value of HGF-c-MET signaling pathway in Gastric Cancer: a study based on TCGA and GEO databases |
title | The prognostic value of HGF-c-MET signaling pathway in Gastric Cancer: a study based on TCGA and GEO databases |
title_full | The prognostic value of HGF-c-MET signaling pathway in Gastric Cancer: a study based on TCGA and GEO databases |
title_fullStr | The prognostic value of HGF-c-MET signaling pathway in Gastric Cancer: a study based on TCGA and GEO databases |
title_full_unstemmed | The prognostic value of HGF-c-MET signaling pathway in Gastric Cancer: a study based on TCGA and GEO databases |
title_short | The prognostic value of HGF-c-MET signaling pathway in Gastric Cancer: a study based on TCGA and GEO databases |
title_sort | prognostic value of hgf-c-met signaling pathway in gastric cancer: a study based on tcga and geo databases |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7415389/ https://www.ncbi.nlm.nih.gov/pubmed/32788873 http://dx.doi.org/10.7150/ijms.44952 |
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