Cargando…

Bioinformatics analysis on the expression of GPX family in gastric cancer and its correlation with the prognosis of gastric cancer

BACKGROUND: Gastric cancer (GC) is one of the most common cancers of the digestive tract, with the fifth-highest incidence and third highest mortality rate in the world. METHODS: In this study, the Kaplan-Meier Plotter database was used to analyze the correlation between the expression of the glutat...

Descripción completa

Detalles Bibliográficos
Autores principales: Ye, Siping, Lin, Rui, Guo, Xiao, Xing, Jiaying, Liu, Keyi, Yang, Wenchuang, Guo, Naiyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830173/
https://www.ncbi.nlm.nih.gov/pubmed/36636221
http://dx.doi.org/10.1016/j.heliyon.2022.e12214
_version_ 1784867615561220096
author Ye, Siping
Lin, Rui
Guo, Xiao
Xing, Jiaying
Liu, Keyi
Yang, Wenchuang
Guo, Naiyuan
author_facet Ye, Siping
Lin, Rui
Guo, Xiao
Xing, Jiaying
Liu, Keyi
Yang, Wenchuang
Guo, Naiyuan
author_sort Ye, Siping
collection PubMed
description BACKGROUND: Gastric cancer (GC) is one of the most common cancers of the digestive tract, with the fifth-highest incidence and third highest mortality rate in the world. METHODS: In this study, the Kaplan-Meier Plotter database was used to analyze the correlation between the expression of the glutathione peroxidase (GPX) family and the clinical prognosis of gastric cancer (GC). The prognostic value of increased GPX family mRNA expression in GC patients in different clinical stages, with different differentiation degrees, in different genders and human epidermal growth factor receptor-2 (HER2) status, and treated with different therapeutic regimens was also studied. RESULTS: The results showed that with the increase of GPX1 and GPX2 mRNA low expression levels, the overall survival (OS) of gastric cancer patients was longer. However, when the high expression levels of GPX3, GPX5 and GPX6 mRNA increased, gastric cancer patients presented good OS, while the increase of GPX4 mRNA expression level had no significant correlation with OS in gastric cancer patients. CONCLUSION: The results of this study are expected to provide a reliable basis for the clinical treatment of GC and lay a foundation for the development of a novel GC treatment approach.
format Online
Article
Text
id pubmed-9830173
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-98301732023-01-11 Bioinformatics analysis on the expression of GPX family in gastric cancer and its correlation with the prognosis of gastric cancer Ye, Siping Lin, Rui Guo, Xiao Xing, Jiaying Liu, Keyi Yang, Wenchuang Guo, Naiyuan Heliyon Research Article BACKGROUND: Gastric cancer (GC) is one of the most common cancers of the digestive tract, with the fifth-highest incidence and third highest mortality rate in the world. METHODS: In this study, the Kaplan-Meier Plotter database was used to analyze the correlation between the expression of the glutathione peroxidase (GPX) family and the clinical prognosis of gastric cancer (GC). The prognostic value of increased GPX family mRNA expression in GC patients in different clinical stages, with different differentiation degrees, in different genders and human epidermal growth factor receptor-2 (HER2) status, and treated with different therapeutic regimens was also studied. RESULTS: The results showed that with the increase of GPX1 and GPX2 mRNA low expression levels, the overall survival (OS) of gastric cancer patients was longer. However, when the high expression levels of GPX3, GPX5 and GPX6 mRNA increased, gastric cancer patients presented good OS, while the increase of GPX4 mRNA expression level had no significant correlation with OS in gastric cancer patients. CONCLUSION: The results of this study are expected to provide a reliable basis for the clinical treatment of GC and lay a foundation for the development of a novel GC treatment approach. Elsevier 2022-12-09 /pmc/articles/PMC9830173/ /pubmed/36636221 http://dx.doi.org/10.1016/j.heliyon.2022.e12214 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Ye, Siping
Lin, Rui
Guo, Xiao
Xing, Jiaying
Liu, Keyi
Yang, Wenchuang
Guo, Naiyuan
Bioinformatics analysis on the expression of GPX family in gastric cancer and its correlation with the prognosis of gastric cancer
title Bioinformatics analysis on the expression of GPX family in gastric cancer and its correlation with the prognosis of gastric cancer
title_full Bioinformatics analysis on the expression of GPX family in gastric cancer and its correlation with the prognosis of gastric cancer
title_fullStr Bioinformatics analysis on the expression of GPX family in gastric cancer and its correlation with the prognosis of gastric cancer
title_full_unstemmed Bioinformatics analysis on the expression of GPX family in gastric cancer and its correlation with the prognosis of gastric cancer
title_short Bioinformatics analysis on the expression of GPX family in gastric cancer and its correlation with the prognosis of gastric cancer
title_sort bioinformatics analysis on the expression of gpx family in gastric cancer and its correlation with the prognosis of gastric cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830173/
https://www.ncbi.nlm.nih.gov/pubmed/36636221
http://dx.doi.org/10.1016/j.heliyon.2022.e12214
work_keys_str_mv AT yesiping bioinformaticsanalysisontheexpressionofgpxfamilyingastriccanceranditscorrelationwiththeprognosisofgastriccancer
AT linrui bioinformaticsanalysisontheexpressionofgpxfamilyingastriccanceranditscorrelationwiththeprognosisofgastriccancer
AT guoxiao bioinformaticsanalysisontheexpressionofgpxfamilyingastriccanceranditscorrelationwiththeprognosisofgastriccancer
AT xingjiaying bioinformaticsanalysisontheexpressionofgpxfamilyingastriccanceranditscorrelationwiththeprognosisofgastriccancer
AT liukeyi bioinformaticsanalysisontheexpressionofgpxfamilyingastriccanceranditscorrelationwiththeprognosisofgastriccancer
AT yangwenchuang bioinformaticsanalysisontheexpressionofgpxfamilyingastriccanceranditscorrelationwiththeprognosisofgastriccancer
AT guonaiyuan bioinformaticsanalysisontheexpressionofgpxfamilyingastriccanceranditscorrelationwiththeprognosisofgastriccancer