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ITGBL1 Predicts a Poor Prognosis and Correlates EMT Phenotype in Gastric Cancer
Integrin, beta-like 1 (ITGBL1), a β-integrin-related extracellular matrix protein, was found more commonly up-regulated in gastric cancer (GC) by screening and analyzing Gene Expression Omnibus (GEO) and Oncomine databases, reminding us to explore its prognostic significance in GC. In our current st...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5688930/ https://www.ncbi.nlm.nih.gov/pubmed/29151964 http://dx.doi.org/10.7150/jca.20900 |
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author | Li, Rongkun Zhuang, Chun Jiang, Shuheng Du, Nan Zhao, Wenyi Tu, Lin Cao, Hui Zhang, Zhigang Chen, Xiaofei |
author_facet | Li, Rongkun Zhuang, Chun Jiang, Shuheng Du, Nan Zhao, Wenyi Tu, Lin Cao, Hui Zhang, Zhigang Chen, Xiaofei |
author_sort | Li, Rongkun |
collection | PubMed |
description | Integrin, beta-like 1 (ITGBL1), a β-integrin-related extracellular matrix protein, was found more commonly up-regulated in gastric cancer (GC) by screening and analyzing Gene Expression Omnibus (GEO) and Oncomine databases, reminding us to explore its prognostic significance in GC. In our current study, we observed that ITGBL1 expression was significantly up-regulated in GC compared with normal controls in clinical specimens. In addition, elevated ITGBL1 expression was positively correlated with patients' tumor-node-metastasis (TNM) stage and distant metastasis. Kaplan-Meier analysis indicated that high ITGBL1 expression was significantly associated with shorter survival times in GC patients. Multivariate Cox regression analysis confirmed ITGBL1 expression as an independent prognostic factor in GC. Gene set enrichment analysis (GSEA) of multiple GEO datasets revealed a close relationship between ITGBL1 expression and the KRAS/epithelial-mesenchymal transition (EMT) signaling pathway. In conclusion, these data provide evidences that ITGBL1 is a potential predictor and may be involved in cancer cell invasion and metastasis via inducing EMT, and the ITGBL1-related pathways may represent a novel therapeutic strategy for treatment of GC. |
format | Online Article Text |
id | pubmed-5688930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-56889302017-11-18 ITGBL1 Predicts a Poor Prognosis and Correlates EMT Phenotype in Gastric Cancer Li, Rongkun Zhuang, Chun Jiang, Shuheng Du, Nan Zhao, Wenyi Tu, Lin Cao, Hui Zhang, Zhigang Chen, Xiaofei J Cancer Research Paper Integrin, beta-like 1 (ITGBL1), a β-integrin-related extracellular matrix protein, was found more commonly up-regulated in gastric cancer (GC) by screening and analyzing Gene Expression Omnibus (GEO) and Oncomine databases, reminding us to explore its prognostic significance in GC. In our current study, we observed that ITGBL1 expression was significantly up-regulated in GC compared with normal controls in clinical specimens. In addition, elevated ITGBL1 expression was positively correlated with patients' tumor-node-metastasis (TNM) stage and distant metastasis. Kaplan-Meier analysis indicated that high ITGBL1 expression was significantly associated with shorter survival times in GC patients. Multivariate Cox regression analysis confirmed ITGBL1 expression as an independent prognostic factor in GC. Gene set enrichment analysis (GSEA) of multiple GEO datasets revealed a close relationship between ITGBL1 expression and the KRAS/epithelial-mesenchymal transition (EMT) signaling pathway. In conclusion, these data provide evidences that ITGBL1 is a potential predictor and may be involved in cancer cell invasion and metastasis via inducing EMT, and the ITGBL1-related pathways may represent a novel therapeutic strategy for treatment of GC. Ivyspring International Publisher 2017-10-17 /pmc/articles/PMC5688930/ /pubmed/29151964 http://dx.doi.org/10.7150/jca.20900 Text en © Ivyspring International Publisher This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Li, Rongkun Zhuang, Chun Jiang, Shuheng Du, Nan Zhao, Wenyi Tu, Lin Cao, Hui Zhang, Zhigang Chen, Xiaofei ITGBL1 Predicts a Poor Prognosis and Correlates EMT Phenotype in Gastric Cancer |
title | ITGBL1 Predicts a Poor Prognosis and Correlates EMT Phenotype in Gastric Cancer |
title_full | ITGBL1 Predicts a Poor Prognosis and Correlates EMT Phenotype in Gastric Cancer |
title_fullStr | ITGBL1 Predicts a Poor Prognosis and Correlates EMT Phenotype in Gastric Cancer |
title_full_unstemmed | ITGBL1 Predicts a Poor Prognosis and Correlates EMT Phenotype in Gastric Cancer |
title_short | ITGBL1 Predicts a Poor Prognosis and Correlates EMT Phenotype in Gastric Cancer |
title_sort | itgbl1 predicts a poor prognosis and correlates emt phenotype in gastric cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5688930/ https://www.ncbi.nlm.nih.gov/pubmed/29151964 http://dx.doi.org/10.7150/jca.20900 |
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