Studies on the Therapeutic and Prognostic Biomarkers of Glioma Using a Novel Cuproptosis-Related IncRNA Signature and Validation in Glioma.

Glioma is the most common tumor of the central nervous system (CNS). Drug resistance, and lack of effective treatment methods make the treatment effect of glioma patients unsatisfactory. The recent discovery of cuproptosis has led to new thinking about the therapeutic and prognostic targets of glioma. The transcripts and clinical data of glioma samples were obtained from The cancer genome atlas (TCGA). The cuproptosis-related lncRNA (CRL)-based glioma prognostic models were built through least absolute shrinkage and selection operator (LASSO) regression analysis in the train set and validated in the test set. Kaplan-Meier survival curve, risk curve analysis, and time-dependent receiver operating characteristic (ROC) curve were used to assess the predictive ability and risk differentiation ability of the models. Univariate and multivariate COX regression analyses were conducted on the models and various clinical features, and then nomograms were constructed to verify their predictive efficacy and accuracy. Finally, we explored potential associations of the models with immune function, drug sensitivity, and the tumor mutational burden of glioma. Four CRLs were selected from the training set of 255 LGG samples and the other four CRLs were selected from the training set of 79 GBM samples to construct the models. Follow-up analysis showed that the models have commendable prognostic value and accuracy for glioma. Notably, the models were also associated with the immune function, drug sensitivity, and tumor mutational burden of gliomas. Our study showed that CRLs were prognostic biomarkers of glioma, closely related to glioma immune function. CRLs may affect uniquely the sensitivity of glioma treatment. It will be a potential therapeutic target for glioma. CRLs will offer new perspectives on the prognosis and therapy of gliomas.

GBP2 as a potential prognostic predictor with immune-related characteristics in glioma.

Guanylate binding protein 2 (GBP2) is a member of the guanine binding protein family, and its relationship with prognostic outcomes and tumor immune microenvironments in glioma remains elusive. We found GBP2 were increased in glioma tissues at both mRNA and protein levels. Kaplan-Meier curves revealed that high GBP2 expression was linked with worse survival of glioma patients, and multivariate Cox regression analysis indicated that high GBP2 expression was an independent prognostic factor for glioma. Combined analysis in immune database revealed that the expression of GBP2 was significantly related to the level of immune infiltration and immunomodulators. Single-cell analysis illustrated the high expression of GBP2 in malignant glioma cells showed the high antigen presentation capability, which were confirmed by real-time polymerase chain reaction (qRT-PCR) data. Additionally, the hsa-mir-26b-5p and hsa-mir-335-5p were predicted as GBP2 regulators and were validated in U87 and U251 cells. Our results first decipher immune-related characteristics and noncoding regulators of GBP2 in glioma, which may provide insights into associated immunotherapies and prognostic predictor.