Guangwei et al. performed a bioinformatic analysis of the cancer genome atlas (TCGA) to identify glycolysis-related genes involved in PDAC and identified 13 independent prognostic genes, including MET, B3GNT3, SPAG4, RPE, KIF20A, CDK1, PGK1, AURKA, P4HA1, PYGB, HMMR, SDC1, and EFNA3. Based on these results, they developed a three-gene signature (MET, B3GNT3, and SPAG4) and risk score for prognosis prediction of PDAC. Patients were divided into high-risk and low-risk groups based on their scores. Here, B3GNT3 is linked to cancer.