Overcoming Resistance in Cancer Therapy: Computational Exploration of PIK3CA Mutations, Unveiling Novel Non-Toxic

Ilham Kandoussi1, Ghyzlane El Haddoumi1, Mariam Mansouri1

  • 1Biotechnology Lab (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed V University in Rabat, Rabat, Morocco.

Insights

This study identifies a novel PI3K inhibitor, Lig5, demonstrating superior efficacy and safety against PIK3CA-mutated cancers. Lig5 shows potential to overcome resistance and toxicity issues associated with current therapeutic options.

Area of Science:

  • Oncology
  • Biochemistry
  • Computational Biology

Background:

  • Phosphoinositide-3-kinases (PI3K) are crucial in cell signaling and frequently dysregulated in cancers.
  • Mutations in PIK3CA, encoding the p110α catalytic subunit, are oncogenic drivers, making PI3K a key therapeutic target.

Purpose of the Study:

  • To explore the impact of 31 PIK3CA mutations on PI3K inhibitor response.
  • To identify novel, non-toxic PI3K inhibitors with improved efficacy and safety profiles.
  • To elucidate the effects of mutations on PI3K protein stability and flexibility.

Main Methods:

  • In silico analysis of 31 PIK3CA mutations.
  • Molecular docking to evaluate inhibitor-protein interactions.
  • Ligand filtration using physicochemical rules (Veber, Lipinski), IC50, and toxicity predictions.
  • Molecular dynamics simulations (100 ns) to assess inhibitor-protein stability.

Main Results:

  • Identified significant alterations in PI3K stability and flexibility due to mutations.
  • Filtered 1394 ligands down to 12 potential non-toxic inhibitors.
  • Lig5 demonstrated superior binding affinity and specificity compared to reference inhibitors like pictilisib.
  • Molecular dynamics confirmed Lig5's stability and robust interaction with PI3K across various mutations.

Conclusions:

  • Lig5 is a promising candidate for targeting PI3K-driven cancers, showing potential to overcome resistance and toxicity.
  • The study highlights the importance of in silico methods in drug discovery for targeted cancer therapies.
  • Lig5's versatility suggests broad applicability against diverse PIK3CA mutational profiles.

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