Identification of PYGL as a key prognostic gene of glioma by integrated bioinformatics analysis

作者：Zhu, Yongjie; Liu, Zhendong; Lv, Dongbo; Cheng, Xingbo; Wang, Jialin; Liu, Binfeng; Han, Zhibin; Wangs, Yanbiao; Liu, Runze; Gao, Yanzheng^*

来源：Future Oncology, 2022, 18(5): 579-596.

DOI：10.2217/fon-2021-0759

• bioinformatics analysis
• biomarker
• glioma
• immune
• immunotherapy
• MAPK signaling pathway
• notch signaling pathway
• prognostic
• PYGL
• VEGF signaling pathway

Aim: PYGL has been reported to have carcinogenic effects in a variety of tumors. This study is the first to reveal the relationship between PYGL and the prognosis of glioma. Materials & methods: Analyzing the Chinese Glioma Genome Atlas database, the authors revealed the expression status and prognostic value of PYGL in gliomas and used RT-qPCR to verify PYGL expression again. Subsequently, they used Gene Set Enrichment Analysis to explore the biological pathways that PYGL may participate in. The authors also used the tumor immune estimation resource database to explore the relationship between PYGL and tumor immune cells. Results: PYGL is involved in the malignant progression of glioma. Conclusions: PYGL can be used as a new biomarker and molecular target for evaluating the prognosis and immunotherapy of glioma.

• 单位
  1; 哈尔滨医科大学; 郑州大学