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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...

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Detalles Bibliográficos
Autores principales: Zhao, Yonghui, Zhang, Xiang, Yao, Junchao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
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.
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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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