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Generation of High-Throughput Three-Dimensional Tumor Spheroids for Drug Screening
Published on: September 5, 2018
Molecular docking analysis reveals differential binding affinities of multiple classes of selective inhibitors
Sai Charitha Mullaguri1, Sravani Akula1, Partha Sarathi Sahoo2
1Molecular Medicine and Therapeutics Laboratory, CPMB, Osmania University, Hyderabad, 500007 India.
Abstract:
KRAS is the most frequently mutated oncogene in solid cancers, and inhibitors that specifically target the KRAS-G12C mutant were recently approved for clinical use. The limited availability of experimental data pertaining to the sensitivity of KRAS-non-G12C mutants towards RAS inhibitors made it difficult to predict the response of KRAS-mutated cancers towards RAS-targeted therapies. The current study aims at evaluating sensitivity profiles of KRAS-non-G12C mutations towards clinically approved sotorasib and adagrasib, and experimental RAS inhibitors based on binding energies derived through molecular docking analysis. Computationally predicted sensitivities of KRAS mutants conformed with the available but limited experimental data, thus validating the usefulness of molecular docking approach in predicting clinical response towards RAS inhibitor treatment. Our results indicate differential sensitivity of KRAS mutants towards both clinical and experimental therapeutics; while certain mutants exhibited broad cross-resistance to most inhibitors, some mutants showed resistance towards specific inhibitors. These results thus suggest the potential of emergence of more resistance mutations in future towards RAS-targeted therapy and points to an urgent need to develop novel classes of inhibitors that are able to overcome both primary and secondary drug resistance.
Supplementary Information:
The online version contains supplementary material available at 10.1007/s13205-022-03407-9.
Insights
RAS inhibitors show varied effectiveness against KRAS-mutated cancers. This study uses molecular docking to predict drug responses, revealing differential sensitivities and resistance patterns for KRAS-non-G12C mutations.
Area of Science:
- Oncology
- Molecular Biology
- Computational Chemistry
Background:
- KRAS mutations are common in solid tumors, driving cancer development.
- Targeting KRAS-G12C mutations with specific inhibitors has shown clinical success.
- Predicting responses for other KRAS mutations (non-G12C) to RAS inhibitors remains challenging due to limited data.
Observation:
- This study evaluated the sensitivity of various KRAS-non-G12C mutations to approved and experimental RAS inhibitors.
- Molecular docking simulations were employed to predict binding energies and infer drug sensitivity.
- Computational predictions were validated against limited existing experimental data.
Findings:
- Molecular docking effectively predicted the sensitivity of KRAS mutants to RAS inhibitors, aligning with experimental results.
- Significant differential sensitivity was observed among KRAS mutants against both clinical and experimental inhibitors.
- Some KRAS mutants displayed broad cross-resistance, while others showed resistance to specific inhibitors.
Implications:
- The findings highlight the potential for developing drug resistance mutations in KRAS-mutated cancers.
- This research underscores the need for novel RAS inhibitors capable of overcoming primary and secondary drug resistance.
- The molecular docking approach provides a valuable tool for predicting patient response to RAS-targeted therapies.
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