已发表论文

非小细胞肺癌中谷胱甘肽过氧化物酶 mRNA 表达的不同预后价值

 

Authors Liu K, Jin M, Xiao L, Liu H, Wei S

Received 22 January 2018

Accepted for publication 7 May 2018

Published 28 August 2018 Volume 2018:10 Pages 2997—3005

DOI https://doi.org/10.2147/CMAR.S163432

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Amy Norman

Peer reviewer comments 4

Editor who approved publication: Dr Antonella D'Anneo

Introduction: Glutathione peroxidases (GPxs) constitutes an enzyme family which has the ability to reduce free hydrogen peroxide to water and lipid hydroperoxides to their corresponding alcohols, and its main biological roles are to protect organisms from oxidative stress-induced damage. GPxs include eight members in different tissues of the body, and they play essential roles in carcinogenesis. However, the prognostic value of individual GPx in non-small cell lung cancer (NSCLC) remains elusive. 
Materials and methods: In the current study, we investigated the prognostic value of GPxs in NSCLC patients through the “Kaplan–Meier plotter” database, wherein updated gene expression data and survival information from a total of 1,926 NSCLC patients are included. 
Results: High expression of GPx1  mRNA was correlated with worse overall survival (OS) in adenocarcinoma patients. High expression of GPx2  mRNA was correlated with worse OS for all NSCLC patients. In contrast, high expression of GPx3  mRNA was associated with better OS for all NSCLC patients. High expression of GPx4  mRNA was significantly correlated with worsening adenocarcinoma in these patients. GPx5  mRNA high expression correlated with worsening OS for all NSCLC patients.
Discussion: The current findings of prognostic values of individual mRNA expression of GPxs  in NSCLC patients indicate some GPxs may have prognostic value in NSCLC patients, and this needs further study.
Keywords: NSCLC, glutathione peroxidases (GPxs), cancer stem cell, prognosis, KM plotter, hazard ratio




Figure 6 The prognostic value of GPx6/7 expression according to the database of Kaplan–Meier plotter.