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Unraveling the Promise of RET Inhibitors in Precision Cancer Therapy by Targeting RET Mutations.

Zi-Xuan WangQing-Qing LiJiao CaiJia-Zhen WuJing-Jing WangMeng-Yuan ZhangQing-Xin WangZhen-Jiang TongJin YangTian-Hua WeiYun ZhouWei-Chen DaiNing DingXue-Jiao LengShan-Liang SunXin XueYan-Cheng YuYe YangNian-Guang LiZhi-Hao Shi
Published in: Journal of medicinal chemistry (2024)
Over the past decades, the role of rearranged during transfection (RET) alterations in tumorigenesis has been firmly established. RET kinase inhibition is an essential therapeutic target in patients with RET-altered cancers. In clinical practice, initial efficacy can be achieved in patients through the utilization of multikinase inhibitors (MKIs) with RET inhibitory activity. However, the effectiveness of these MKIs is impeded by the adverse events associated with off-target effects. Recently, many RET-selective inhibitors, characterized by heightened specificity and potency, have been developed, representing a substantial breakthrough in the field of RET precision oncology. This Perspective focuses on the contemporary understanding of RET mutations, recent advancements in next-generation RET inhibitors, and the challenges associated with resistance to RET inhibitors. It provides valuable insights for the development of next-generation MKIs and selective RET inhibitors.
Keyphrases
  • clinical practice
  • systematic review
  • palliative care
  • machine learning
  • chronic kidney disease
  • ejection fraction
  • tyrosine kinase
  • deep learning
  • artificial intelligence
  • prognostic factors
  • structural basis