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High PYGL Expression Predicts Poor Prognosis in Human Gliomas
Background: PYGL has been reported as a glycogen degradation-related gene, which is up-regulated in many tumors. This study was designed to investigate the predictive value of high PYGL expression in patients with gliomas through bioinformatics analysis of the gene transcriptome and the single-cell...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8225935/ https://www.ncbi.nlm.nih.gov/pubmed/34177761 http://dx.doi.org/10.3389/fneur.2021.652931 |
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author | Zhao, Chang-yi Hua, Chun-hui Li, Chang-hua Zheng, Rui-zhe Li, Xin-yuan |
author_facet | Zhao, Chang-yi Hua, Chun-hui Li, Chang-hua Zheng, Rui-zhe Li, Xin-yuan |
author_sort | Zhao, Chang-yi |
collection | PubMed |
description | Background: PYGL has been reported as a glycogen degradation-related gene, which is up-regulated in many tumors. This study was designed to investigate the predictive value of high PYGL expression in patients with gliomas through bioinformatics analysis of the gene transcriptome and the single-cell sequencing data. Methods: The gene transcriptome data of 595 glioma patients from the TCGA database and the single-cell RNA sequencing data of 7,930 GBM cells from the GEO database were included in the study. Differential analysis was used to find the distribution of expression of PYGL in different groups of glioma patients. OS analysis was used to assess the influence of the high expression of PYGL on the prognosis of patients. The reliability of its prediction was evaluated by the AUC of ROC and the C-index. The GSEA be used to reveal potential mechanisms. The single-cell analysis was used to observe the high expression of PYGL in different cell groups to further analyze the mechanism of its prediction. Results: Differential analysis identified the expression level of PYGL is positively associated with glioma malignancy. OS analysis and Cox regression analyses showed high expression of PYGL was an independent factor for poor prognosis of gliomas (p < 0.05). The AUC values were 0.838 (1-year ROC), 0.864 (3-year ROC) and 0.833 (5-year ROC). The C index was 0.81. The GSEA showed that gene sets related to MTORC1 signaling, glycolysis, hypoxia, PI3K/AKT/mTOR signaling, KRAS signaling up and angiogenesis were differentially enriched in the high PYGL expression phenotype. The single-cell sequencing data analysis showed TAMs and malignant cells in GBM tissues expressed a high level of PYGL. Conclusion: The high expression of PYGL is an independent predictor of poor prognosis in patients with glioma. |
format | Online Article Text |
id | pubmed-8225935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82259352021-06-26 High PYGL Expression Predicts Poor Prognosis in Human Gliomas Zhao, Chang-yi Hua, Chun-hui Li, Chang-hua Zheng, Rui-zhe Li, Xin-yuan Front Neurol Neurology Background: PYGL has been reported as a glycogen degradation-related gene, which is up-regulated in many tumors. This study was designed to investigate the predictive value of high PYGL expression in patients with gliomas through bioinformatics analysis of the gene transcriptome and the single-cell sequencing data. Methods: The gene transcriptome data of 595 glioma patients from the TCGA database and the single-cell RNA sequencing data of 7,930 GBM cells from the GEO database were included in the study. Differential analysis was used to find the distribution of expression of PYGL in different groups of glioma patients. OS analysis was used to assess the influence of the high expression of PYGL on the prognosis of patients. The reliability of its prediction was evaluated by the AUC of ROC and the C-index. The GSEA be used to reveal potential mechanisms. The single-cell analysis was used to observe the high expression of PYGL in different cell groups to further analyze the mechanism of its prediction. Results: Differential analysis identified the expression level of PYGL is positively associated with glioma malignancy. OS analysis and Cox regression analyses showed high expression of PYGL was an independent factor for poor prognosis of gliomas (p < 0.05). The AUC values were 0.838 (1-year ROC), 0.864 (3-year ROC) and 0.833 (5-year ROC). The C index was 0.81. The GSEA showed that gene sets related to MTORC1 signaling, glycolysis, hypoxia, PI3K/AKT/mTOR signaling, KRAS signaling up and angiogenesis were differentially enriched in the high PYGL expression phenotype. The single-cell sequencing data analysis showed TAMs and malignant cells in GBM tissues expressed a high level of PYGL. Conclusion: The high expression of PYGL is an independent predictor of poor prognosis in patients with glioma. Frontiers Media S.A. 2021-06-11 /pmc/articles/PMC8225935/ /pubmed/34177761 http://dx.doi.org/10.3389/fneur.2021.652931 Text en Copyright © 2021 Zhao, Hua, Li, Zheng and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Zhao, Chang-yi Hua, Chun-hui Li, Chang-hua Zheng, Rui-zhe Li, Xin-yuan High PYGL Expression Predicts Poor Prognosis in Human Gliomas |
title | High PYGL Expression Predicts Poor Prognosis in Human Gliomas |
title_full | High PYGL Expression Predicts Poor Prognosis in Human Gliomas |
title_fullStr | High PYGL Expression Predicts Poor Prognosis in Human Gliomas |
title_full_unstemmed | High PYGL Expression Predicts Poor Prognosis in Human Gliomas |
title_short | High PYGL Expression Predicts Poor Prognosis in Human Gliomas |
title_sort | high pygl expression predicts poor prognosis in human gliomas |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8225935/ https://www.ncbi.nlm.nih.gov/pubmed/34177761 http://dx.doi.org/10.3389/fneur.2021.652931 |
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