MGMT and neoplasm: Logistic regression showed strong correlations between language predictors and molecular parameters (MGMT codeletion: AUC = 0.922; 1p/19q: AUC = 0.813; IDH1/2: AUC = 0.748), with tumor locations included as dummy variables.<h4>Conclusion</h4>Language components were identified as robust predictors of glioma recurrence and were significantly associated with key molecular features.