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Cancer-keeper genes as therapeutic targets.
Zhang, Xizhe; Pan, Chunyu; Wei, Xinru; Yu, Meng; Liu, Shuangjie; An, Jun; Yang, Jieping; Wei, Baojun; Hao, Wenjun; Yao, Yang; Zhu, Yuyan; Zhang, Weixiong.
Affiliation
  • Zhang X; Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
  • Pan C; School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
  • Wei X; School of Computer Science and Engineering, Northeastern University, Shenyang, China.
  • Yu M; Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
  • Liu S; School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
  • An J; Department of Laboratory Animal Science, China Medical University, Shenyang, China.
  • Yang J; Key Laboratory of Transgenetic Animal Research, China Medical University, Shenyang, China.
  • Wei B; Department of Urology, First Affiliated Hospital of China Medical University, Shenyang, China.
  • Hao W; Department of Urology, First Affiliated Hospital of China Medical University, Shenyang, China.
  • Yao Y; Department of Urology, First Affiliated Hospital of China Medical University, Shenyang, China.
  • Zhu Y; Department of Urology, First Affiliated Hospital of China Medical University, Shenyang, China.
  • Zhang W; Department of Urology, First Affiliated Hospital of China Medical University, Shenyang, China.
iScience ; 26(8): 107296, 2023 Aug 18.
Article in En | MEDLINE | ID: mdl-37520717
Finding cancer-driver genes has been a central theme of cancer research. We took a different perspective; instead of considering normal cells, we focused on cancerous cells and genes that maintained abnormal cell growth, which we named cancer-keeper genes (CKGs). Intervening CKGs may rectify aberrant cell growth, making them potential cancer therapeutic targets. We introduced control-hub genes and developed an efficient algorithm by extending network controllability theory. Control hub are essential for maintaining cancerous states and thus can be taken as CKGs. We applied our CKG-based approach to bladder cancer (BLCA). All genes on the cell-cycle and p53 pathways in BLCA were identified as CKGs, showing their importance in cancer. We discovered that sensitive CKGs - genes easily altered by structural perturbation - were particularly suitable therapeutic targets. Experiments on cell lines and a mouse model confirmed that six sensitive CKGs effectively suppressed cancer cell growth, demonstrating the immense therapeutic potential of CKGs.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: IScience Year: 2023 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: IScience Year: 2023 Document type: Article Affiliation country: Country of publication: