Global characterization of RNA editing in genetic regulation of multiple ovarian cancer subtypes.
Yulan Wang, Jing Wu, Jian Zhao, Tianyi Xu, Meng Zhang, Jingjing Liu, Yixuan Wang, Quan Wang, Xiaofeng Song
Author Information
Yulan Wang: Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Jing Wu: School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China.
Jian Zhao: Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Tianyi Xu: National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.
Meng Zhang: Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Jingjing Liu: Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Yixuan Wang: Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Quan Wang: Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Xiaofeng Song: Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
RNA editing plays an extensive role in the initiation and progression of cancer. However, the overall profile and molecular functions of RNA editing in different ovarian cancer subtypes have not been fully characterized and elucidated. Here, we conducted a study on RNA editing in four cohorts of ovarian cancer subtypes through large-scale parallel reporting and bioinformatics analysis. Our findings revealed that RNA editing patterns exhibit subtype-specific characteristics within cancer subtypes. The expression pattern of ADAR and the number of differential editing sites varied under different conditions. CCOC and EOC exhibited significant editing deficiency, whereas HGSC and MOC displayed significant editing excess. The sites within the turquoise module of the coedited network also revealed their correlation with ovarian cancer. In addition, we identified an average of over 40,000 -edQTLs in the four subtypes. Finally, we explored the association between RNA editing and drug response, uncovering several potentially effective editing-drug pairs (EDP) and suggesting the conceivable utility of RNA editing sites as therapeutic targets for cancer treatment. Overall, our comprehensive study has identified and characterized RNA editing events in various subtypes of ovarian cancer, providing a new perspective for ovarian cancer research and facilitating the development of medical interventions and treatments.
