MGAM (Maltase-Glucoamylase)

One signature distinguished neuroblastoma samples with sensitivity to navitoclax, a BCL2 family inhibitor...The combination of multiomics analysis and drug sensitivity profiling identified two signatures related to drug sensitivity in pediatric solid tumors, contributing to the advancement of functional precision medicine and personalized treatment strategies. This article is part of a special series: Driving Cancer Discoveries with Computational Research, Data Science, and Machine Learning/AI .

In CRC patients, MGAM downregulation was confirmed in 64 samples, and WES revealed a novel MGAM mutation (rs2960746). These findings underscore MGAM and MGAM2 as promising biomarkers and therapeutic targets, supporting their relevance in advancing personalized oncology.

The knowledge of this molecular pathogenesis has not yet been translated into clinical practice, apart from the use of cetuximab, an EGFR antibody...Liquid biopsies, either resorting to circulating tumor cells, extracellular vesicles or cell-free nucleic acids, have the potential to bypass this problem, and have potential prognostic and staging value. We critically review the current knowledge on the molecular, genetic and epigenetic alterations in oral cancer, as well as the applications and challenges of liquid biopsies in its diagnosis, follow-up, and prognostic stratification.

We collect a large-scale EUS-based pancreas image dataset (LS-EUSPI) consisting of 9,555 pathologically proven labeled EUS images (499 patients from four categories) and 15,500 unlabeled EUS images. Experimental results on the LS-EUSPI dataset and a public thyroid gland lesion dataset show that our SSM-Net clearly outperforms state-of-the-art methods.

Finally, the levels of seven genes showed a difference between PRAD tissues and adjacent non-tumorous tissues. This study shows that establishing a biochemical recurrence prediction prognostic model comprising seven protein-coding genes is an effective and precise method for predicting the progression of prostate cancer.

Distribution of mutated genes among Group III patients differed according to the existence of EZH2 mutation, with high frequency of mutated USH2A (p=0.019) and MGAM (p=0.019) genes in those with EZH2 mutation, whereas mutations in TP53 were observed only in those without (p=0.072).[Conclusion] Methylation-score could be helpful in distinguishing patients with and without EZH2 mutations and enables clinicians to identify candidates for EZH2 inhibition medications. Combination of EZH2- and Methylation-scores predicts clinical outcomes after the 1st immunochemotherapy, which also could potentially identify genetically distinct population in the heterogeneous FL cohort.

By cross-comparison with our previous urinary glycoproteomic dataset for aggressive prostate cancer, we reported a total of four glycopeptides from glycoproteins DSC2, MGAM, PIK3IP1, and CD55, commonly identified to be prostate cancer-specific. Together, these results deepen our understanding of the urinary glycoproteins associated with urogenital cancer types and expand our knowledge of the cancer specificity of urinary glycoproteins among urogenital cancer progression.

Subtyping SKCM patients via glycolytic and cholesterogenic genes was effective, and patients in the glycolytic-gene enriched group were found to have the worst outcome. A robust prognostic algorithm was developed to enhance clinical decisions in relation to drug administration.

Further, we identified distinct N-glycosylation pattern of CD44, MGAM, and GINM1 between NMIBC and MIBC patients, which may be associated with disease progression in bladder cancer. These aberrant protein glycosylation events would provide a novel approach for bladder carcinoma diagnosis and further define novel mechanisms of tumor initiation and progression.