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Predictive value of protease‐activated receptor‐2 (PAR(2)) in cervical cancer metastasis
Metastasis is the primary cause of an unfavourable prognosis in patients with malignant cancer. Over the last decade, the role of proteinases in the tumour microenvironment has attracted increasing attention. As a sensor of proteinases, proteinase‐activated receptor 2 (PAR(2)) plays crucial roles in...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7875903/ https://www.ncbi.nlm.nih.gov/pubmed/33369107 http://dx.doi.org/10.1111/jcmm.16227 |
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author | He, Shengnan Xu, Meiquan Xiong, Zhen Hu, Ye Huo, Qin Lu, Jingxiao Lin, Yuntao Yang, Lan |
author_facet | He, Shengnan Xu, Meiquan Xiong, Zhen Hu, Ye Huo, Qin Lu, Jingxiao Lin, Yuntao Yang, Lan |
author_sort | He, Shengnan |
collection | PubMed |
description | Metastasis is the primary cause of an unfavourable prognosis in patients with malignant cancer. Over the last decade, the role of proteinases in the tumour microenvironment has attracted increasing attention. As a sensor of proteinases, proteinase‐activated receptor 2 (PAR(2)) plays crucial roles in the metastatic progression of cervical cancer. In the present study, the expression of PAR(2) in multiple types of cancer was analysed by Gene Expression Profiling Interactive Analysis (GEPIA). Kaplan‐Meier plotter was used to calculate the correlation between survival and the levels of PAR(2), Grb‐associated binding protein 2(Gab2) and miR‐125b. Immunohistochemistry (IHC) was performed to examine PAR(2) expression in a tissue microarray (TMA) of CESCs. Empower Stats was used to assess the predictive value of PAR(2) in the metastatic potential of CESC. We found that PAR(2) up‐regulation was observed in multiple types of cancer. Moreover, PAR(2) expression was positively correlated with the clinicopathologic characteristics of CESC. miR‐125b and its target Gab2, which are strongly associated with PAR(2)‐induced cell migration, are well‐characterized as predictors of the prognostic value of CESC. Most importantly, the Cancer Genome Atlas (TCGA) data set analysis showed that the area under the curve (AUC) of the PAR(2) model was significantly greater than that of the traditional model (0.833 vs 0.790, P < .05), demonstrating the predictive value of PAR(2) in CESC metastasis. Our results suggest that PAR(2) may serve as a prognostic factor for metastasis in CESC patients. |
format | Online Article Text |
id | pubmed-7875903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78759032021-02-18 Predictive value of protease‐activated receptor‐2 (PAR(2)) in cervical cancer metastasis He, Shengnan Xu, Meiquan Xiong, Zhen Hu, Ye Huo, Qin Lu, Jingxiao Lin, Yuntao Yang, Lan J Cell Mol Med Original Articles Metastasis is the primary cause of an unfavourable prognosis in patients with malignant cancer. Over the last decade, the role of proteinases in the tumour microenvironment has attracted increasing attention. As a sensor of proteinases, proteinase‐activated receptor 2 (PAR(2)) plays crucial roles in the metastatic progression of cervical cancer. In the present study, the expression of PAR(2) in multiple types of cancer was analysed by Gene Expression Profiling Interactive Analysis (GEPIA). Kaplan‐Meier plotter was used to calculate the correlation between survival and the levels of PAR(2), Grb‐associated binding protein 2(Gab2) and miR‐125b. Immunohistochemistry (IHC) was performed to examine PAR(2) expression in a tissue microarray (TMA) of CESCs. Empower Stats was used to assess the predictive value of PAR(2) in the metastatic potential of CESC. We found that PAR(2) up‐regulation was observed in multiple types of cancer. Moreover, PAR(2) expression was positively correlated with the clinicopathologic characteristics of CESC. miR‐125b and its target Gab2, which are strongly associated with PAR(2)‐induced cell migration, are well‐characterized as predictors of the prognostic value of CESC. Most importantly, the Cancer Genome Atlas (TCGA) data set analysis showed that the area under the curve (AUC) of the PAR(2) model was significantly greater than that of the traditional model (0.833 vs 0.790, P < .05), demonstrating the predictive value of PAR(2) in CESC metastasis. Our results suggest that PAR(2) may serve as a prognostic factor for metastasis in CESC patients. John Wiley and Sons Inc. 2020-12-23 2021-02 /pmc/articles/PMC7875903/ /pubmed/33369107 http://dx.doi.org/10.1111/jcmm.16227 Text en © 2020 The Authors. Journal of Cellular and Molecular Medicine published by John Wiley & Sons Ltd and Foundation for Cellular and Molecular Medicine. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles He, Shengnan Xu, Meiquan Xiong, Zhen Hu, Ye Huo, Qin Lu, Jingxiao Lin, Yuntao Yang, Lan Predictive value of protease‐activated receptor‐2 (PAR(2)) in cervical cancer metastasis |
title | Predictive value of protease‐activated receptor‐2 (PAR(2)) in cervical cancer metastasis |
title_full | Predictive value of protease‐activated receptor‐2 (PAR(2)) in cervical cancer metastasis |
title_fullStr | Predictive value of protease‐activated receptor‐2 (PAR(2)) in cervical cancer metastasis |
title_full_unstemmed | Predictive value of protease‐activated receptor‐2 (PAR(2)) in cervical cancer metastasis |
title_short | Predictive value of protease‐activated receptor‐2 (PAR(2)) in cervical cancer metastasis |
title_sort | predictive value of protease‐activated receptor‐2 (par(2)) in cervical cancer metastasis |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7875903/ https://www.ncbi.nlm.nih.gov/pubmed/33369107 http://dx.doi.org/10.1111/jcmm.16227 |
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