ArticleTranslational cancer research2025
Construction and validation of a prognostic model for glioma: an analysis based on mismatch repair-related genes and their correlation with clinicopathological features.
Article in Translational cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Glioma is a prevalent and aggressive form of brain neoplasm, characterized by a 5-year survival rate of less than 10%. Despite the encouraging outcomes demonstrated by numerous prognostic models for gliomas in preliminary research, these models frequently do not meet anticipated results when subjected to external validation. Our goal is to uncover potential prognostic biomarkers and therapeutic targets by concentrating on mismatch repair-related genes (MRRGs) that are significantly linked to glioma. Methods: We employed least absolute shrinkage and selection operator (LASSO) Cox regression to develop a multigene signature based on MRRGs. The functional implications of the Results: A comparative analysis of the expression of 23 MRRGs between glioma and normal samples revealed that 22 MRRGs were upregulated in glioma tissues. Univariate analysis indicated that 20 of these MRRGs were significantly differentially expressed (P<0.05). The LASSO algorithm reduced this set to seven key genes: Conclusions: In summary, our results indicate a marked elevation in
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