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Comprehensive analysis of PLOD family members in low-grade gliomas using bioinformatics methods
Low-grade gliomas (LGGs) is a primary invasive brain tumor that grows slowly but is incurable and eventually develops into high malignant glioma. Novel biomarkers for the tumorigenesis and lifetime of LGG are critically demanded to be investigated. In this study, the expression levels of procollagen...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840023/ https://www.ncbi.nlm.nih.gov/pubmed/33503035 http://dx.doi.org/10.1371/journal.pone.0246097 |
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author | Zhao, Yonghui Zhang, Xiang Yao, Junchao |
author_facet | Zhao, Yonghui Zhang, Xiang Yao, Junchao |
author_sort | Zhao, Yonghui |
collection | PubMed |
description | Low-grade gliomas (LGGs) is a primary invasive brain tumor that grows slowly but is incurable and eventually develops into high malignant glioma. Novel biomarkers for the tumorigenesis and lifetime of LGG are critically demanded to be investigated. In this study, the expression levels of procollagen-lysine, 2-oxoglutarate 5-dioxygenases (PLODs) were analyzed by ONCOMINE, HPA and GEPIA. The GEPIA online platform was applied to evaluate the interrelation between PLODs and survival index in LGG. Furthermore, functions of PLODs and co-expression genes were inspected by the DAVID. Moreover, we used TIMER, cBioportal, GeneMINIA and NetworkAnalyst analysis to reveal the mechanism of PLODs in LGG. We found that expression levels of each PLOD family members were up-regulated in patients with LGG. Higher expression of PLODs was closely related to shorter disease-free survival (DFS) and overall survival (OS). The findings showed that LGG cases with or without alterations were significantly correlated with the OS and DFS. The mechanism of PLODs in LGG may be involved in response to hypoxia, oxidoreductase activity, Lysine degradation and immune cell infiltration. In general, this research has investigated the values of PLODs in LGG, which could serve as biomarkers for diagnosis, prognosis and potential therapeutic targets of LGG patients. |
format | Online Article Text |
id | pubmed-7840023 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-78400232021-02-02 Comprehensive analysis of PLOD family members in low-grade gliomas using bioinformatics methods Zhao, Yonghui Zhang, Xiang Yao, Junchao PLoS One Research Article Low-grade gliomas (LGGs) is a primary invasive brain tumor that grows slowly but is incurable and eventually develops into high malignant glioma. Novel biomarkers for the tumorigenesis and lifetime of LGG are critically demanded to be investigated. In this study, the expression levels of procollagen-lysine, 2-oxoglutarate 5-dioxygenases (PLODs) were analyzed by ONCOMINE, HPA and GEPIA. The GEPIA online platform was applied to evaluate the interrelation between PLODs and survival index in LGG. Furthermore, functions of PLODs and co-expression genes were inspected by the DAVID. Moreover, we used TIMER, cBioportal, GeneMINIA and NetworkAnalyst analysis to reveal the mechanism of PLODs in LGG. We found that expression levels of each PLOD family members were up-regulated in patients with LGG. Higher expression of PLODs was closely related to shorter disease-free survival (DFS) and overall survival (OS). The findings showed that LGG cases with or without alterations were significantly correlated with the OS and DFS. The mechanism of PLODs in LGG may be involved in response to hypoxia, oxidoreductase activity, Lysine degradation and immune cell infiltration. In general, this research has investigated the values of PLODs in LGG, which could serve as biomarkers for diagnosis, prognosis and potential therapeutic targets of LGG patients. Public Library of Science 2021-01-27 /pmc/articles/PMC7840023/ /pubmed/33503035 http://dx.doi.org/10.1371/journal.pone.0246097 Text en © 2021 Zhao et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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 Zhao, Yonghui Zhang, Xiang Yao, Junchao Comprehensive analysis of PLOD family members in low-grade gliomas using bioinformatics methods |
title | Comprehensive analysis of PLOD family members in low-grade gliomas using bioinformatics methods |
title_full | Comprehensive analysis of PLOD family members in low-grade gliomas using bioinformatics methods |
title_fullStr | Comprehensive analysis of PLOD family members in low-grade gliomas using bioinformatics methods |
title_full_unstemmed | Comprehensive analysis of PLOD family members in low-grade gliomas using bioinformatics methods |
title_short | Comprehensive analysis of PLOD family members in low-grade gliomas using bioinformatics methods |
title_sort | comprehensive analysis of plod family members in low-grade gliomas using bioinformatics methods |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840023/ https://www.ncbi.nlm.nih.gov/pubmed/33503035 http://dx.doi.org/10.1371/journal.pone.0246097 |
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