m6A modification: recent advances, anticancer targeted drug discovery and beyond.

Journal: Molecular cancer
Published Date:

Abstract

Abnormal N6-methyladenosine (m6A) modification is closely associated with the occurrence, development, progression and prognosis of cancer, and aberrant m6A regulators have been identified as novel anticancer drug targets. Both traditional medicine-related approaches and modern drug discovery platforms have been used in an attempt to develop m6A-targeted drugs. Here, we provide an update of the latest findings on m6A modification and the critical roles of m6A modification in cancer progression, and we summarize rational sources for the discovery of m6A-targeted anticancer agents from traditional medicines and computer-based chemosynthetic compounds. This review highlights the potential agents targeting m6A modification for cancer treatment and proposes the advantage of artificial intelligence (AI) in the discovery of m6A-targeting anticancer drugs. Three stages of m6A-targeting anticancer drug discovery: traditional medicine-based natural products, modern chemical modification or synthesis, and artificial intelligence (AI)-assisted approaches for the future.

Authors

  • Li-Juan Deng
    Formula-pattern Research Center, School of Traditional Chinese Medicine, Jinan University, Guangzhou, China.
  • Wei-Qing Deng
    Formula-pattern Research Center, School of Traditional Chinese Medicine, Jinan University, Guangzhou, China.
  • Shu-Ran Fan
    Guangdong Province Key Laboratory of Pharmacodynamic Constituents of Traditional Chinese Medicine and New Drugs Research, College of Pharmacy, Jinan University, Guangzhou, 510632, China.
  • Min-Feng Chen
    Guangdong Province Key Laboratory of Pharmacodynamic Constituents of Traditional Chinese Medicine and New Drugs Research, College of Pharmacy, Jinan University, Guangzhou, 510632, China.
  • Ming Qi
    Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
  • Wen-Yu Lyu
    Guangdong Province Key Laboratory of Pharmacodynamic Constituents of Traditional Chinese Medicine and New Drugs Research, College of Pharmacy, Jinan University, Guangzhou, 510632, China.
  • Qi Qi
    School of Informatics, Xiamen University, Xiamen, 361005, China.
  • Amit K Tiwari
    Department of Pharmacology and Experimental Therapeutics, The University of Toledo, Toledo, OH, USA.
  • Jia-Xu Chen
    Formula-pattern Research Center, School of Traditional Chinese Medicine, Jinan University, Guangzhou, China. chenjiaxu@hotmail.com.
  • Dong-Mei Zhang
    Guangdong Province Key Laboratory of Pharmacodynamic Constituents of Traditional Chinese Medicine and New Drugs Research, College of Pharmacy, Jinan University, Guangzhou, 510632, China. dmzhang701@jnu.edu.cn.
  • Zhe-Sheng Chen
    Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, St. John's University, Queens, NY, 11439, USA. chenz@stjohns.edu.