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Identification of Ferroptosis-Related Biomarkers for Prognosis and Immunotherapy in Patients With Glioma

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Specialty Cell Biology
Date 2022 Feb 17
PMID 35174152
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Abstract

Ferroptosis is a novel type of iron- and ROS-dependent cell death and is involved in various diseases. LncRNAs are involved and play important roles in the occurrence and development of several cancers. However, researches about the role of ferroptosis-related lncRNAs in glioma are relatively rare. Here, we identified nine ferroptosis-related lncRNAs and then constructed a prognostic model by the LASSO and Cox analysis. The model could predict overall survival with high sensitivity and specificity according to ROC curves. In addition, the cell cycle, p53 signaling, apoptosis, and oxidative phosphorylation pathways were obviously enriched in the pathogenesis of glioma by gene set enrichment analysis. A nomogram was constructed by integrating several independent prognostic clinicopathological features, and it could provide a valuable predictive tool for overall survival. Furthermore, a strong correlation between these nine lncRNAs and immunotherapy was found. Glioma patients in the high-risk group had higher TMB using somatic mutation data, different immune infiltration, and higher expression of immune checkpoints, indicating these patients might benefit from immune checkpoint inhibitor therapy. In summary, these nine ferroptosis-related lncRNAs were promising biomarkers for predicting overall survival and guiding immunotherapy or future immune checkpoint inhibitor development for glioma patients.

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References
1.
Zhuang C, Liu Y, Fu S, Yuan C, Luo J, Huang X . Silencing of lncRNA MIR497HG via CRISPR/Cas13d Induces Bladder Cancer Progression Through Promoting the Crosstalk Between Hippo/Yap and TGF-β/Smad Signaling. Front Mol Biosci. 2020; 7:616768. PMC: 7755977. DOI: 10.3389/fmolb.2020.616768. View

2.
Powles T, Park S, Voog E, Caserta C, Valderrama B, Gurney H . Avelumab Maintenance Therapy for Advanced or Metastatic Urothelial Carcinoma. N Engl J Med. 2020; 383(13):1218-1230. DOI: 10.1056/NEJMoa2002788. View

3.
Shi Y, Lim S, Liang Q, Iyer S, Wang H, Wang Z . Gboxin is an oxidative phosphorylation inhibitor that targets glioblastoma. Nature. 2019; 567(7748):341-346. PMC: 6655586. DOI: 10.1038/s41586-019-0993-x. View

4.
Chen L, Li X, Liu L, Yu B, Xue Y, Liu Y . Erastin sensitizes glioblastoma cells to temozolomide by restraining xCT and cystathionine-γ-lyase function. Oncol Rep. 2015; 33(3):1465-74. DOI: 10.3892/or.2015.3712. View

5.
Zhang X, Zhuang J, Liu L, He Z, Liu C, Ma X . Integrative transcriptome data mining for identification of core lncRNAs in breast cancer. PeerJ. 2019; 7:e7821. PMC: 6786248. DOI: 10.7717/peerj.7821. View