Cargando…

The bioinformatics analysis of RIOX2 gene in lung adenocarcinoma and squamous cell carcinoma

Lung cancer is characterized by high morbidity and mortality rates, and it has become an important public health issue worldwide. The occurrence and development of tumors is a multi-gene and multi-stage complex process. As an oncogene, ribosomal oxygenase 2 (RIOX2) has been associated with a variety...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Bingqing, Zhao, Hongwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8638848/
https://www.ncbi.nlm.nih.gov/pubmed/34855761
http://dx.doi.org/10.1371/journal.pone.0259447
_version_ 1784609023794872320
author Sun, Bingqing
Zhao, Hongwen
author_facet Sun, Bingqing
Zhao, Hongwen
author_sort Sun, Bingqing
collection PubMed
description Lung cancer is characterized by high morbidity and mortality rates, and it has become an important public health issue worldwide. The occurrence and development of tumors is a multi-gene and multi-stage complex process. As an oncogene, ribosomal oxygenase 2 (RIOX2) has been associated with a variety of cancers. In this article, we analyzed the correlation between RIOX2 expression and methylation in lung cancer based on the databases including the cancer genome atlas (TCGA) (https://portal.gdc.cancer.gov/) and the gene expression omnibus (GEO) (https://www.ncbi.nlm.nih.gov/geo/). It was found that RIOX2 is highly expressed in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) tissues, whose expression is negatively correlated with its methylation level. In this regard, methylation at cg09716038, cg14773523, cg14941179, and cg22299097 had a significant negative correlation with RIOX2 expression in LUAD, whereas in LUSC, methylation at cg09716038, cg14773523, cg14941179, cg22299097, cg05451573, cg10779801, and cg23629183 is negatively correlated with RIOX2 expression. According to the analysis based on the databases, RIOX2 gene could not be considered as the independent prognostic biomarker in lung adenocarcinoma or squamous cell lung cancer. However, the molecular mechanism of RIOX2 gene in the development of lung cancer may be helpful in improving lung cancer therapy.
format Online
Article
Text
id pubmed-8638848
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-86388482021-12-03 The bioinformatics analysis of RIOX2 gene in lung adenocarcinoma and squamous cell carcinoma Sun, Bingqing Zhao, Hongwen PLoS One Research Article Lung cancer is characterized by high morbidity and mortality rates, and it has become an important public health issue worldwide. The occurrence and development of tumors is a multi-gene and multi-stage complex process. As an oncogene, ribosomal oxygenase 2 (RIOX2) has been associated with a variety of cancers. In this article, we analyzed the correlation between RIOX2 expression and methylation in lung cancer based on the databases including the cancer genome atlas (TCGA) (https://portal.gdc.cancer.gov/) and the gene expression omnibus (GEO) (https://www.ncbi.nlm.nih.gov/geo/). It was found that RIOX2 is highly expressed in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) tissues, whose expression is negatively correlated with its methylation level. In this regard, methylation at cg09716038, cg14773523, cg14941179, and cg22299097 had a significant negative correlation with RIOX2 expression in LUAD, whereas in LUSC, methylation at cg09716038, cg14773523, cg14941179, cg22299097, cg05451573, cg10779801, and cg23629183 is negatively correlated with RIOX2 expression. According to the analysis based on the databases, RIOX2 gene could not be considered as the independent prognostic biomarker in lung adenocarcinoma or squamous cell lung cancer. However, the molecular mechanism of RIOX2 gene in the development of lung cancer may be helpful in improving lung cancer therapy. Public Library of Science 2021-12-02 /pmc/articles/PMC8638848/ /pubmed/34855761 http://dx.doi.org/10.1371/journal.pone.0259447 Text en © 2021 Sun, Zhao https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sun, Bingqing
Zhao, Hongwen
The bioinformatics analysis of RIOX2 gene in lung adenocarcinoma and squamous cell carcinoma
title The bioinformatics analysis of RIOX2 gene in lung adenocarcinoma and squamous cell carcinoma
title_full The bioinformatics analysis of RIOX2 gene in lung adenocarcinoma and squamous cell carcinoma
title_fullStr The bioinformatics analysis of RIOX2 gene in lung adenocarcinoma and squamous cell carcinoma
title_full_unstemmed The bioinformatics analysis of RIOX2 gene in lung adenocarcinoma and squamous cell carcinoma
title_short The bioinformatics analysis of RIOX2 gene in lung adenocarcinoma and squamous cell carcinoma
title_sort bioinformatics analysis of riox2 gene in lung adenocarcinoma and squamous cell carcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8638848/
https://www.ncbi.nlm.nih.gov/pubmed/34855761
http://dx.doi.org/10.1371/journal.pone.0259447
work_keys_str_mv AT sunbingqing thebioinformaticsanalysisofriox2geneinlungadenocarcinomaandsquamouscellcarcinoma
AT zhaohongwen thebioinformaticsanalysisofriox2geneinlungadenocarcinomaandsquamouscellcarcinoma
AT sunbingqing bioinformaticsanalysisofriox2geneinlungadenocarcinomaandsquamouscellcarcinoma
AT zhaohongwen bioinformaticsanalysisofriox2geneinlungadenocarcinomaandsquamouscellcarcinoma