Regorafenib: A comprehensive drug profile

Ahmed A Abdelgalil1, Hamad M Alkahtani2

  • 1Central Laboratory, College of Pharmacy, King Saud University, Riyadh, Kingdom of Saudi Arabia.

Insights

Regorafenib is an oral tyrosine kinase inhibitor targeting VEGF receptors, approved for metastatic colorectal cancer, advanced gastrointestinal stromal tumors, and hepatocellular carcinoma. This profile details its synthesis, physical and analytical characteristics, and pharmacological profile.

Area of Science:

  • Pharmacology
  • Medicinal Chemistry
  • Drug Development

Background:

  • Regorafenib is an oral small molecule tyrosine kinase inhibitor.
  • It targets vascular endothelial growth factor (VEGF) receptors.
  • Approved indications include metastatic colorectal cancer (CRC), advanced gastrointestinal stromal tumors (GIST), and hepatocellular carcinoma (HCC).

Purpose of the Study:

  • To provide a comprehensive profile of regorafenib.
  • To consolidate original and literature data on drug synthesis, physical characteristics, analytical methods, and pharmacology.
  • To detail the drug's properties and preparation methods.

Main Methods:

  • Literature review and data compilation.
  • Analysis of drug synthesis pathways.
  • Characterization of physical properties (e.g., solubility, stability, thermal analysis, spectroscopy).
  • Evaluation of analytical techniques (e.g., chromatographic, spectrophotometric, electrochemical).
  • Assessment of Absorption, Distribution, Metabolism, and Excretion (ADME) profiles.

Main Results:

  • Detailed description of regorafenib's chemical and physical properties.
  • Outlined methods and schemes for drug substance preparation.
  • Comprehensive overview of analytical methodologies for quality control.
  • Discussion of ADME profiles and pharmacological effects.

Conclusions:

  • Regorafenib's multifaceted profile is crucial for understanding its therapeutic applications.
  • This profile serves as a valuable resource for researchers and clinicians.
  • Further research can build upon the synthesized data for drug optimization and application.