Abstract LB360: Establishment of predictive biomarkers for carcinogenesis in ulcerative colitis using RNA editing analyses

Abstract Background: Ulcerative colitis (UC) is a chronic inflammatory disease continuous from the rectum. We previously reported that chronic inflammation may induce the RNA-editing enzyme ADAR1 and promote carcinogenesis (Journal of Crohn's and Colitis, 2023). However, the relationship between RNA editing and carcinogenesis in UC remains unresolved because we could not identify specific RNA editing sites. Therefore, in this study, we performed a new comprehensive RNA analysis using RNA sequencing to clarify the role of RNA editing in the carcinogenesis process in UC and to construct a prediction model of carcinogenic risk. Methods: We performed immunostaining of ADAR1, an RNA-editing enzyme, in 139 cases of ulcerative colitis. In addition, normal colorectal tissue, UC inflammatory phase, normal rectal mucosa of UC carcinoma cases, and UC carcinoma sites were submitted to RNA-Seq testing in 6 cases each (24 cases total). Bioinformatics analysis was performed to compare RNA editing sites in each group. Results: RNA-seq analysis showed a significant increase in global RNA editing sites in the inflammatory phase compared to normal colon tissue (p = 0.02). This phenomenon was due to increased ADAR1 expression associated with type 1 interferon. We hypothesized that global RNA editing was decreased in normal colonic mucosa during the remission phase but that some sites of prolonged RNA editing might promote carcinogenesis. We attempted to identify carcinogenesis-specific RNA editing sites. We identified 72 cancer-specific RNA editing sites, mainly in long noncoding RNAs such as NEAT1 and in the 3'UTR region of mRNAs such as CTSS. Assuming that the accumulation of these RNA editing leads to carcinogenesis, pathway analysis revealed that pathways promoting cancer invasion and stemness are activated. When ROC curves were generated using these editing sites as markers, the AUC was 0.935, suggesting that analysis of RNA editing in the colonic mucosa of UC patients may be able to predict the risk of carcinogenesis. Conclusions: We identified potential editing sites for carcinogenesis in UC, allowing the identification of carcinogenic mechanisms in UC and the establishment of predictive markers for carcinogenic risk. Citation Format: Toshiaki Takahashi, Kunitoshi Shigeyasu, Yoshitaka Kondo, Hibiki Umeda, Kazuya Moriwake, Masashi Kayano, Kaori Nitta, Fuminori Teraishi, Yuzo Umeda, Hiroshi Tazawa, Toshiyoshi Fujiwara. Establishment of predictive biomarkers for carcinogenesis in ulcerative colitis using RNA editing analyses [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB360.