Prediction of onset of remnant gastric cancer by promoter DNA methylation of CDO1 / HOPX / Reprimo / E-cadherin

• Published in: Oncotarget Vol. 10; no. 25; pp. 2423 - 2434
• Main Authors: Kojima, Keita, Minatani, Naoko, Ushiku, Hideki, Ishii, Satoru, Tanaka, Toshimichi, Yokoi, Keigo, Nishizawa, Nobuyuki, Ooizumi, Yosuke, Igarashi, Kazuharu, Hosoda, Kei, Moriya, Hiromitsu, Mieno, Hiroaki, Watanabe, Masahiko, Yamashita, Keishi
• Format: Journal Article
• Language: English
• Published: United States Impact Journals LLC 29.03.2019
• Subjects: Research Paper; homeodomain-only protein X (HOPX); cysteine dioxygenase 1 (CDO1); remnant gastric cancer; E-cadherin; Reprimo
• ISSN: 1949-2553; 1949-2553
• DOI: 10.18632/oncotarget.26814

Early detection of remnant gastric cancer (RGC) is required to reduce the risk of death, but long-term endoscopic surveillance is difficult after gastrectomy. In this study, data for the methylation status of 4 methylation genes ( and ) to predict the onset of RGC are presented. The 4 genes showed hypermethylation in RGC tumors in contrast to the corresponding non-cancerous mucosa tissues. The methylation level in the non-cancerous mucosa tissues of the initial surgery was obviously high in initial malignant disease for ( = 0.0001), while in initial benign one for ( = 0.003). Promoter DNA methylation status in the remnant non-cancerous mucosa tissues together with the basic clinical data in turn predicted either initial malignant disease or initial benign disease with a high AUC score of 0.94, suggesting that methylation events are differentially recognized between the initial malignant and benign disease. We then finally confirmed that 4 genes hypermethylation of the non-cancerous tissues by biopsy prior to onset of RGC could predict terms until RGC occurred ( < 0.0001). A total of 58 RGC patients were used to establish the model. The 4 genes promoter methylation were analyzed for DNA obtained from the patient's specimens using quantitative methylation specific polymerase chain reaction. This risk model would help provide guidance for endoscopic surveillance plan of RGC after gastrectomy.