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ITGA3 serves as a diagnostic and prognostic biomarker for pancreatic cancer
Background and objective: ITGA3 is a cell surface adhesion protein that interacts with extracellular matrix proteins which function in cancer metastasis. We examined the relationship of pancreatic ITGA3 expression with the clinical and pathological characteristics of patients with pancreatic cancer....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549486/ https://www.ncbi.nlm.nih.gov/pubmed/31213833 http://dx.doi.org/10.2147/OTT.S201675 |
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author | Jiao, Yan Li, Yanqing Liu, Songyang Chen, Qingmin Liu, Yahui |
author_facet | Jiao, Yan Li, Yanqing Liu, Songyang Chen, Qingmin Liu, Yahui |
author_sort | Jiao, Yan |
collection | PubMed |
description | Background and objective: ITGA3 is a cell surface adhesion protein that interacts with extracellular matrix proteins which function in cancer metastasis. We examined the relationship of pancreatic ITGA3 expression with the clinical and pathological characteristics of patients with pancreatic cancer. Methods: Data mining was used to analyze pancreatic cancer data from The Cancer Genome Atlas database. A Chi squared test was used to evaluate correlations of ITGA3 expression with clinical and pathological parameters. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance of ITGA3 expression. Survival analysis and Cox regression analysis were used to examine the prognostic value of ITGA3 expression. Gene Set Enrichment Analysis (GSEA) was used to identify signaling pathways related to ITGA3 expression. Results: Pancreatic expression of ITGA3 was greater in patients with pancreatic cancer than those without cancer, and was also associated with histological type, histological grade, stage, T classification, vital status, and relapse. ROC analysis indicated that ITGA3 had significant diagnostic value, in that high expression correlated with poor overall survival and relapse-free survival, especially in patients with early-stage cancer. Cox analysis indicated that high ITGA3 expression was an independent prognostic factor for pancreatic cancer. GSEA analysis identified 9 signaling pathways that were enriched in the presence of high ITGA3 expression. Conclusion: Expression of ITGA3 can be used as a diagnostic and prognostic biomarker in pancreatic cancer. |
format | Online Article Text |
id | pubmed-6549486 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-65494862019-06-18 ITGA3 serves as a diagnostic and prognostic biomarker for pancreatic cancer Jiao, Yan Li, Yanqing Liu, Songyang Chen, Qingmin Liu, Yahui Onco Targets Ther Original Research Background and objective: ITGA3 is a cell surface adhesion protein that interacts with extracellular matrix proteins which function in cancer metastasis. We examined the relationship of pancreatic ITGA3 expression with the clinical and pathological characteristics of patients with pancreatic cancer. Methods: Data mining was used to analyze pancreatic cancer data from The Cancer Genome Atlas database. A Chi squared test was used to evaluate correlations of ITGA3 expression with clinical and pathological parameters. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance of ITGA3 expression. Survival analysis and Cox regression analysis were used to examine the prognostic value of ITGA3 expression. Gene Set Enrichment Analysis (GSEA) was used to identify signaling pathways related to ITGA3 expression. Results: Pancreatic expression of ITGA3 was greater in patients with pancreatic cancer than those without cancer, and was also associated with histological type, histological grade, stage, T classification, vital status, and relapse. ROC analysis indicated that ITGA3 had significant diagnostic value, in that high expression correlated with poor overall survival and relapse-free survival, especially in patients with early-stage cancer. Cox analysis indicated that high ITGA3 expression was an independent prognostic factor for pancreatic cancer. GSEA analysis identified 9 signaling pathways that were enriched in the presence of high ITGA3 expression. Conclusion: Expression of ITGA3 can be used as a diagnostic and prognostic biomarker in pancreatic cancer. Dove 2019-05-27 /pmc/articles/PMC6549486/ /pubmed/31213833 http://dx.doi.org/10.2147/OTT.S201675 Text en © 2019 Jiao et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Jiao, Yan Li, Yanqing Liu, Songyang Chen, Qingmin Liu, Yahui ITGA3 serves as a diagnostic and prognostic biomarker for pancreatic cancer |
title | ITGA3 serves as a diagnostic and prognostic biomarker for pancreatic cancer |
title_full | ITGA3 serves as a diagnostic and prognostic biomarker for pancreatic cancer |
title_fullStr | ITGA3 serves as a diagnostic and prognostic biomarker for pancreatic cancer |
title_full_unstemmed | ITGA3 serves as a diagnostic and prognostic biomarker for pancreatic cancer |
title_short | ITGA3 serves as a diagnostic and prognostic biomarker for pancreatic cancer |
title_sort | itga3 serves as a diagnostic and prognostic biomarker for pancreatic cancer |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549486/ https://www.ncbi.nlm.nih.gov/pubmed/31213833 http://dx.doi.org/10.2147/OTT.S201675 |
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