SESN2 Could Be a Potential Marker for Diagnosis and Prognosis in Glioma

• Published in: Genes Vol. 14; no. 3; p. 701
• Main Authors: Xu, Lingdan, Liu, Zelin, Wang, Huihui, Lu, Jiyuan, Xu, Jia, Meng, Yucheng, Huang, Ke, Liu, Bin
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 12.03.2023; MDPI
• Subjects: Autophagy; Biomarkers; Brain cancer; Brain Neoplasms - diagnosis; Brain Neoplasms - genetics; Brain tumors; Cancer therapies; Chemotherapy; Cytosol; Databases, Protein; Gene expression; Genes; Glioma; Glioma - diagnosis; Glioma - genetics; Humans; Immune response; Medical diagnosis; Medical prognosis; Metastases; Nomograms; Patients; Prognosis; Proteins; Radiation therapy; Regression analysis; Sestrins; Survival analysis; Tumor microenvironment; Tumor Microenvironment - genetics; Tumorigenesis; Tumors; glioma; prognostic marker; bioinformatics analysis; SESN2
• ISSN: 2073-4425; 2073-4425
• DOI: 10.3390/genes14030701

(1) Background: Glioma is among the most common brain tumors, and is difficult to eradicate with current therapeutic strategies due to its highly invasive and aggressive characteristics. Sestrin2 ( ) is an autophagy inducer. The effect of on glioma is controversial and unclear. (2) Methods: We downloaded related RNA-seq data from the TCGA and GTEx databases. Bioinformatic analyses including differential gene expression analysis, KM survival curve analysis, univariate and multivariate Cox regression analyses, nomogram analysis, ROC curve analysis, gene function enrichment analysis, and immune cell infiltration analysis were conducted. In addition, data from the Human Protein Atlas (HPA) database were collected to validate expression in glioma. (3) Results: In comparison with normal tissue, expression of in glioma tissue was higher, and those with higher expressions had significantly lower overall survival rates. The results of univariate Cox regression analyses showed that can be a disadvantageous factor in poor glioma prognosis. Both nomograms and ROC curves confirmed these findings. Meanwhile, according to gene function analysis, may be involved in immune responses and the tumor microenvironment (TME). Based on the HPA database results, is localized in the cytosol and shows high expression in glioma. (4) Conclusions: The expression of in gliomas was positively relevant to a poorer prognosis, suggesting that could be used as a prognostic gene.