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...

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Main Authors: Chang-yi Zhao, Chun-hui Hua, Chang-hua Li, Rui-zhe Zheng, Xin-yuan Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Neurology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2021.652931/full
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spelling doaj-b616569e0eb14e1ebcc1427c4cd07dcc2021-06-11T05:21:14ZengFrontiers Media S.A.Frontiers in Neurology1664-22952021-06-011210.3389/fneur.2021.652931652931High PYGL Expression Predicts Poor Prognosis in Human GliomasChang-yi ZhaoChun-hui HuaChang-hua LiRui-zhe ZhengXin-yuan LiBackground: 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.https://www.frontiersin.org/articles/10.3389/fneur.2021.652931/fullPYGLprognosisTAMsgliomasexpression
collection DOAJ
language English
format Article
sources DOAJ
author Chang-yi Zhao
Chun-hui Hua
Chang-hua Li
Rui-zhe Zheng
Xin-yuan Li
spellingShingle Chang-yi Zhao
Chun-hui Hua
Chang-hua Li
Rui-zhe Zheng
Xin-yuan Li
High PYGL Expression Predicts Poor Prognosis in Human Gliomas
Frontiers in Neurology
PYGL
prognosis
TAMs
gliomas
expression
author_facet Chang-yi Zhao
Chun-hui Hua
Chang-hua Li
Rui-zhe Zheng
Xin-yuan Li
author_sort Chang-yi Zhao
title High PYGL Expression Predicts Poor Prognosis in Human Gliomas
title_short 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_sort high pygl expression predicts poor prognosis in human gliomas
publisher Frontiers Media S.A.
series Frontiers in Neurology
issn 1664-2295
publishDate 2021-06-01
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.
topic PYGL
prognosis
TAMs
gliomas
expression
url https://www.frontiersin.org/articles/10.3389/fneur.2021.652931/full
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