Leveraging advanced bioinformatics techniques, the identification of 12 crucial genes (ETNK1, BICRA, IL-1R1, KDM3A, ARID2, GSK3β, EZH2, NOTCH1, SMARCA4, FOS, CREB1, CASP3) associated with the tumor-suppressing miR-101-3p network stands out as a notable achievement. This evidence concerns the gene GSK3B and neoplasm.