Development of farnesyl transferase inhibitors: a review

Natalie M G M Appels1, Jos H Beijnen, Jan H M Schellens

  • 1Department of Pharmacy & Pharmacology, Slotervaart Hospital/The Netherlands Cancer Institute, Amsterdam.

The Oncologist
|September 24, 2005
PubMed

Insights

Farnesyl transferase inhibitors show promise against cancer by blocking Ras activation. However, their clinical success is limited due to underestimated molecular complexities and insufficient proof of concept, necessitating improved drug development strategies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Pharmacology

Background:

  • Farnesyl transferase inhibitors (FTIs) represent a novel class of anticancer agents targeting protein farnesylation.
  • FTIs are believed to inhibit Ras activation, leading to cell growth arrest, with potent preclinical activity.
  • Despite promising preclinical data, FTIs have shown limited efficacy in clinical trials, suggesting issues in their development.

Purpose of the Study:

  • To propose and review an algorithm for developing biologically active anticancer drugs.
  • To analyze the development of FTIs using this algorithm, identifying underestimated steps.
  • To enhance the success rate of future anticancer drug development.

Main Methods:

  • Review of farnesyl transferase inhibitor development from discovery to clinical trials.
  • Analysis of drug development process against a proposed algorithm.
  • Examination of molecular biology of Ras activation and alternative pathways like geranylgeranylation.

Main Results:

  • Underestimation of molecular biology: focus on H-Ras activation overlooked K-Ras and other farnesylated proteins' roles in tumorigenesis.
  • Inhibition of farnesylation may be insufficient; geranylgeranylation can activate K-Ras, counteracting FTI effects.
  • Lack of a well-defined proof of concept in both preclinical and clinical studies was identified.

Conclusions:

  • The development of FTIs highlights critical underestimations in understanding molecular pathways and achieving robust proof of concept.
  • Future biologically active anticancer drug development should integrate the proposed algorithm to improve clinical success rates.
  • A comprehensive understanding of target pathways and rigorous validation are crucial for translating preclinical promise into clinical benefit.

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