UBTD2 protein molecules emerges as a key prognostic protein marker in glioma: Insights from integrated omics and machine learning analysis of GRM7, NCAPG, CEP55, and other biomarkers.
Journal:
International journal of biological macromolecules
Published Date:
Apr 24, 2025
Abstract
Glioma is a malignant brain tumor with poor prognosis, and there is an urgent need to find effective biomarkers for early diagnosis and treatment. The aim of this study was to explore the potential of UBTD2 as a key prognostic protein marker for gliomas through comprehensive omics and machine learning analysis, and to reveal its relationship with other biomarkers such as GRM7, NCAPG, CEP55, etc. In this study, relevant data were downloaded from a public database, and differential expression gene (DEG) analysis was used to identify the characteristic genes of glioma. Through gene expression standardization and Venn analysis, 80 overlapping genes were selected and enriched by gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Key genes were identified based on LASSO analysis, while SHAP models were used to evaluate key DEGs and their interactions that influence glioma prediction models. Further analysis of UBTD2, including gene set enrichment analysis (GSEA), cell culture experiments, transfection techniques and Westernblot, was performed to investigate its function in glioma cells. The results showed that UBTD2 was significantly upregulated in glioma cells and correlated with the expression of five key proteins. LASSO analysis identified key difference-expressed genes in gliomas, and SHAP analysis revealed the importance of these genes in predictive models. Further experiments showed that UBTD2 knockdown inhibited cell proliferation and invasion by up-regulating p53 expression, underscoring its potential function in gliomas.