First, we used a bioinformatical approach through which we analyzed 3’UTRs of 22 oral and other cancers-associated genes (CARHSP1, CDYL2, CEP43, DCTN5, FBXO25, FBXO32, FLRT2, GAN, GRIN2A, HEBP2, ITPK1, KCNK10, MAPKAPK5, MBOAT2, MYLK3, NME9, NOPCHAP1, NTRK3, OPN3, SLC8A1, SYNCRIP, TFCP2L1) (Figure 1; Supplementary Table 1). Here, GAN is linked to cancer.