On BraTS2021 and TCGA-GBM, TAUM-Net achieves a Dice score of 0.921 for segmentation and 63.48% accuracy for MGMT prediction, showing that multitask learning can preserve strong segmentation performance and offer reasonable predictive power for molecular status. This evidence concerns the gene MGMT and glioblastoma.