Structural basis and selectivity of sulfatinib binding to FGFR and CSF-1R

Qianmeng Lin1,2, Shuyan Dai1,2, Lingzhi Qu1,2

  • 1Department of Oncology, NHC Key Laboratory of Cancer Proteomics, State Local Joint Engineering Laboratory for Anticancer Drugs, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.

Communications Chemistry
|January 3, 2024
PubMed

Insights

Sulfatinib, a multi-target inhibitor, effectively targets FGFR1 and CSF-1R. Its structural mechanisms reveal insights into overcoming drug resistance and designing novel kinase inhibitors.

Area of Science:

  • Molecular biology
  • Structural biology
  • Pharmacology

Background:

  • Acquired drug resistance limits single-target kinase inhibitors.
  • Multi-target inhibitors like sulfatinib offer a strategy to overcome resistance.
  • Sulfatinib targets FGFR1 and CSF-1R, relevant in neuroendocrine tumors.

Purpose of the Study:

  • To elucidate the molecular mechanisms of sulfatinib binding to FGFR1 and CSF-1R.
  • To understand the structural basis of sulfatinib's kinase selectivity.
  • To investigate sulfatinib's sensitivity to gatekeeper mutations in FGFR and CSF-1R.

Main Methods:

  • X-ray crystallography to determine structures of sulfatinib with FGFR1 and CSF-1R.
  • Biochemical assays to assess kinase inhibition and sensitivity to mutations.
  • Structural analysis to identify key binding interactions and conformational adaptability.

Main Results:

  • Crystal structures revealed common binding features and distinct conformational adaptability of sulfatinib for FGFR1 and CSF-1R.
  • Sulfatinib demonstrated sensitivity to specific FGFR and CSF-1R gatekeeper mutations.
  • Insensitivity to FGFR gatekeeper mutations was linked to hydrophobic pocket interactions, while rotatory flexibility aided CSF-1R inhibition.

Conclusions:

  • The study provides a structural understanding of sulfatinib's inhibition of FGFR1 and CSF-1R.
  • Findings highlight the importance of hydrophobic interactions for FGFR selectivity.
  • Insights guide the rational design of multi-target FGFR inhibitors with improved selectivity and resistance profiles.