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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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 |
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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 |
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