A Pyroptosis-Related Gene Prognostic Index Correlated with Survival and Immune Microenvironment in Glioma

作者：Jianglin Zheng, Zijie Zhou, Yue Qiu, Minjie Wang, Hao Yu, Zhipeng Wu, Xuan Wang, Xiaobing Jiang · 发表于：DOAJ (DOAJ: Directory of Open Access Journals) · 年份：2022 · 被引用次数：21 · 研究领域：Ferroptosis and cancer prognosis、Inflammasome and immune disorders、Circular RNAs in diseases

Jianglin Zheng,1,* Zijie Zhou,1,* Yue Qiu,2,* Minjie Wang,1 Hao Yu,1 Zhipeng Wu,1 Xuan Wang,1 Xiaobing Jiang1 1Department of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China; 2Department of Otolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xuan Wang; Xiaobing JiangDepartment of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of ChinaEmail highprefer@126.com; 2004xh0835@hust.edu.cnPurpose: As an inflammatory form of programmed cell death, pyroptosis has been well established to be associated with tumorigenesis and tumor immune microenvironment. In this paper, we aimed at the construction of a pyroptosis-related gene prognostic index (PRGPI) for predicting prognosis and guiding individualized immunotherapy in glioma patients.Patients and Methods: Pyroptosis-related genes (PRGs) were identified based on a detailed review of published literatures. The transcriptome data and clinical information of glioma patients were obtained from CGGA and TCGA databases. PRGPI was constructed by using the multivariate Cox regression method. The immune cell infiltration level was analyzed via CIBERSORT algorithm. The tumor immune dysfunction and exclusion (TIDE) algorithm ...