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Upregulation of Piezo1 Is a Novel Prognostic Indicator in Glioma Patients

PURPOSE: Previous study reported that Piezo1 was highly expressed in glioma and promoted the proliferation of glioma cells, suggesting that Piezo1 overexpression might contribute to the poor prognosis of patients. Thus, this study aimed to identify whether Piezo1 may become a new prognostic biomarke...

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Autores principales: Qu, Shanqiang, Li, Shuting, Hu, Zhicheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244349/
https://www.ncbi.nlm.nih.gov/pubmed/32547190
http://dx.doi.org/10.2147/CMAR.S251776
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author Qu, Shanqiang
Li, Shuting
Hu, Zhicheng
author_facet Qu, Shanqiang
Li, Shuting
Hu, Zhicheng
author_sort Qu, Shanqiang
collection PubMed
description PURPOSE: Previous study reported that Piezo1 was highly expressed in glioma and promoted the proliferation of glioma cells, suggesting that Piezo1 overexpression might contribute to the poor prognosis of patients. Thus, this study aimed to identify whether Piezo1 may become a new prognostic biomarker for glioma patients. PATIENTS AND METHODS: Firstly, Piezo1 expression of gliomas was analyzed through GEO and Oncomine dataset, and verified by qRT-PCR and immunohistochemistry (IHC) methods. A total of 183 glioma patients were included in this study between January 2010 and December 2014. Kaplan-Meier survival analyses, Cox regression analyses and ROC curve analyses were performed to assess the diagnostic and prognostic values of Piezo1 in glioma patients. RESULTS: In this study, Piezo1 was identified to be highly expressed in gliomas, and increased with WHO grade. Chi-square test results showed that Piezo1 expression was significantly related to age (P=0.00), WHO grade (P=0.00), Histopathology (P=0.00), IDH1 mutation (P=0.00) and chemotherapy (P=0.00). Kaplan-Meier analysis showed that the overall survival (OS) of patients with high Piezo1 expression was significantly worse than that of patients with low Piezo1 expression (HR=3.39, 95% CI=2.40–4.81, P<0.0001). A multivariate Cox regression analysis revealed that Piezo1 might be an independent prognostic factor for glioma patients (HR=1.34, 95% CI=1.23–1.47, P=0.000). The area under the ROC curve (AUC) of 1-, 3-, and 5-year overall survival for Piezo1 overexpression was 0.820 (P=0.000), 0.849 (P=0.000), and 0.861 (P=0.000), respectively. CONCLUSION: Piezo1 was overexpressed in glioma samples. Piezo1 overexpression as an independent prognostic factor adversely affects the prognosis of patients, which could be a new novel prognostic indicator in glioma patients.
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spelling pubmed-72443492020-06-15 Upregulation of Piezo1 Is a Novel Prognostic Indicator in Glioma Patients Qu, Shanqiang Li, Shuting Hu, Zhicheng Cancer Manag Res Original Research PURPOSE: Previous study reported that Piezo1 was highly expressed in glioma and promoted the proliferation of glioma cells, suggesting that Piezo1 overexpression might contribute to the poor prognosis of patients. Thus, this study aimed to identify whether Piezo1 may become a new prognostic biomarker for glioma patients. PATIENTS AND METHODS: Firstly, Piezo1 expression of gliomas was analyzed through GEO and Oncomine dataset, and verified by qRT-PCR and immunohistochemistry (IHC) methods. A total of 183 glioma patients were included in this study between January 2010 and December 2014. Kaplan-Meier survival analyses, Cox regression analyses and ROC curve analyses were performed to assess the diagnostic and prognostic values of Piezo1 in glioma patients. RESULTS: In this study, Piezo1 was identified to be highly expressed in gliomas, and increased with WHO grade. Chi-square test results showed that Piezo1 expression was significantly related to age (P=0.00), WHO grade (P=0.00), Histopathology (P=0.00), IDH1 mutation (P=0.00) and chemotherapy (P=0.00). Kaplan-Meier analysis showed that the overall survival (OS) of patients with high Piezo1 expression was significantly worse than that of patients with low Piezo1 expression (HR=3.39, 95% CI=2.40–4.81, P<0.0001). A multivariate Cox regression analysis revealed that Piezo1 might be an independent prognostic factor for glioma patients (HR=1.34, 95% CI=1.23–1.47, P=0.000). The area under the ROC curve (AUC) of 1-, 3-, and 5-year overall survival for Piezo1 overexpression was 0.820 (P=0.000), 0.849 (P=0.000), and 0.861 (P=0.000), respectively. CONCLUSION: Piezo1 was overexpressed in glioma samples. Piezo1 overexpression as an independent prognostic factor adversely affects the prognosis of patients, which could be a new novel prognostic indicator in glioma patients. Dove 2020-05-18 /pmc/articles/PMC7244349/ /pubmed/32547190 http://dx.doi.org/10.2147/CMAR.S251776 Text en © 2020 Qu 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
Qu, Shanqiang
Li, Shuting
Hu, Zhicheng
Upregulation of Piezo1 Is a Novel Prognostic Indicator in Glioma Patients
title Upregulation of Piezo1 Is a Novel Prognostic Indicator in Glioma Patients
title_full Upregulation of Piezo1 Is a Novel Prognostic Indicator in Glioma Patients
title_fullStr Upregulation of Piezo1 Is a Novel Prognostic Indicator in Glioma Patients
title_full_unstemmed Upregulation of Piezo1 Is a Novel Prognostic Indicator in Glioma Patients
title_short Upregulation of Piezo1 Is a Novel Prognostic Indicator in Glioma Patients
title_sort upregulation of piezo1 is a novel prognostic indicator in glioma patients
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244349/
https://www.ncbi.nlm.nih.gov/pubmed/32547190
http://dx.doi.org/10.2147/CMAR.S251776
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