Bioinformatic analysis of 408 tumor tissues from patients with gastric adenocarcinoma and 211 tissue samples from non-tumor diseases in the online database GEPIA (http://gepia.cancer-pku.cn/)) showed that the transcript copy numbers of TET1, TET2, GPX4, and SLC7A11 in tumor tissues were significantly higher than those in the normal tissues (Figure 6A). Here, TET2 is linked to gastric adenocarcinoma.