A novel signature based on necroptosis-related long non-coding RNAs for predicting prognosis of patients with glioma

• DOI: 10.3389/fonc.2022.940220
• Publication Date: 2022-08-10T06:59:00Z
• Authors: Pengfei Xia; Yimin Huang; Gang Chen
• Keywords: Signature (topology)

Necroptosis is closely related to the occurrence and development of tumors, including glioma. A growing number studies indicate that targeting necroptosis could be an effective treatment strategy against cancer. Long non-coding RNA (lncRNA) also believed play a pivotal role in tumor epigenetics. Therefore, it necessary identify functions necroptosis-related lncRNAs In this study, transcriptome clinical characteristic data glioma patients from The Cancer Genome Atlas (TCGA) Chinese Glioma (CGGA) databases were collected, differentially expressed TCGA have impact on overall survival (OS) screened out construct risk score (RS) formula, which was verified CGGA. nomogram constructed predict prognosis based characteristics RS. addition, Gene Set Enrichment Analysis (GSEA) used analyze main enrichment these immune microenvironment. total nine been identified RS Kaplan-Meier (K-M) analysis showed significantly poorer outcomes high group both CGGA databases. Moreover, receiver operating (ROC) curve shows our prediction model has good predictability. Regarding microenvironment, significant differences observed function checkpoint between low group. conclusion, we lncRNA can effectively provided theoretical basis potential therapeutic targets for immunotherapy gliomas.