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Upregulation of Piezo1 Is a Novel Prognostic Indicator in Glioma Patients

Authors Qu S, Li S, Hu Z

Received 28 February 2020

Accepted for publication 1 May 2020

Published 18 May 2020 Volume 2020:12 Pages 3527—3536

DOI https://doi.org/10.2147/CMAR.S251776

Checked for plagiarism Yes

Review by Single-blind

Peer reviewer comments 2

Editor who approved publication: Dr Eileen O'Reilly


Shanqiang Qu,1,* Shuting Li,2,* Zhicheng Hu3

1Department of Neurosurgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, People’s Republic of China; 2Department of Plastic Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, People’s Republic of China; 3Department of Burn Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Zhicheng Hu
Department of Burn Surgery, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou 510080, People’s Republic of China
Tel +86-20-87755766-8235
Fax +86-20-87755766-8276
Email huzhch5@mail.sysu.edu.cn
Shanqiang Qu
Department of Neurosurgery, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou 510080, People’s Republic of China
Tel +86-20-87755766-8215
Fax +86-20-87755766-8276
Email qushq3@163.com

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.

Keywords: novel prognostic indicator, Piezo1, brain glioma
 

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