Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Gliomas is the subject of a report. According to news reporting out of Hohhot, People’s Rep ublic of China, by NewsRx editors, research stated, “Glioma stands as the most p revalent primary brain tumor found within the central nervous system, characteri zed by high invasiveness and treatment resistance. Although immunotherapy has sh own potential in various tumors, it still faces challenges in gliomas.” Our news journalists obtained a quote from the research from the Affiliated Hosp ital of Inner Mongolia Medical University, “This study seeks to develop and vali date a prognostic model for glioma based on immune-related genes, to provide new tools for precision medicine. Glioma samples were obtained from a database that includes the ImmPort database. Additionally, we incorporated ten machine learni ng algorithms to assess the model’s performance using evaluation metrics like th e Harrell concordance index (C-index). The model genes were further studied usin g GSCA, TISCH2, and HPA databases to understand their role in glioma pathology a t the genomic, molecular, and single-cell levels, and validate the biological fu nction of IKBKE in vitro experiments. In this study, a total of 199 genes associ ated with prognosis were identified using univariate Cox analysis. Subsequently, a consensus prognostic model was developed through the application of machine l earning algorithms. In which the Lasso + plsRcox algorithm demonstrated the best predictive performance. The model showed a good ability to distinguish two grou ps in both the training and test sets. Additionally, the model genes were closel y related to immunity (oligodendrocytes and macrophages), and mutation burden. T he results of in vitro experiments showed that the expression level of the IKBKE gene had a significant effect on the apoptosis and migration of GL261 glioma ce lls. Western blot analysis showed that down-regulation of IKBKE resulted in incr eased expression of pro-apoptotic protein Bax and decreased expression of anti-a poptotic protein Bcl-2, which was consistent with increased apoptosis rate. On t he contrary, IKBKE overexpression caused a decrease in Bax expression an increas e in Bcl-2 expression, and a decrease in apoptosis rate. Tunel results further c onfirmed that down-regulation of IKBKE promoted apoptosis, while overexpression of IKBKE reduced apoptosis. In addition, cells with down-regulated IKBKE had red uced migration in scratch experiments, while cells with overexpression of IKBKE had increased migration. This study successfully constructed a glioma prognosis model based on immune-related genes.”
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