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Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo
Published on: February 6, 2015
Nonclinical Evaluations of Small-Molecule Oncology Drugs: Integration into Clinical Dose Optimization and Toxicity
Donna M Dambach1, Natalie E Simpson2, Thomas W Jones3
1Department of Safety Assessment, Genentech, San Francisco, California. International Consortium for Innovation and Quality in Pharmaceutical Development DruSafe Leadership Group, Washington, District of Columbia.
Abstract:
Multidisciplinary approaches that incorporate nonclinical pharmacologic and toxicologic characterization of small-molecule oncology drugs into clinical development programs may facilitate improved benefit-risk profiles and clinical toxicity management in patients. The performance of the current nonclinical safety-testing scheme was discussed, highlighting current strengths and areas for improvement. While current nonclinical testing appears to predict the clinical outcome where the prevalence of specific adverse effects are high, nonclinical testing becomes less reliable for predicting clinical adverse effects that occur infrequently, as with some kinase inhibitors. Although adverse effects associated with kinase inhibitors can often be predicted on the basis of target biology, drugs can be promiscuous and inhibit targets with poorly defined function and associated risks. Improvements in adverse effect databases and better characterization of the biologic activities of drug targets may enable better use of computational modeling approaches in predicting adverse effects with kinase inhibitors. Assessing safety of a lead candidate in parallel with other drug properties enables incorporation of a molecule's best features during chemical design, eliminates the worst molecules early, and permits timely investigation/characterization of toxicity mechanisms for identified liabilities. A safety lead optimization and candidate identification strategy that reduces intrinsic toxicity and metabolic risk and enhances selectivity can deliver selective kinase inhibitors that demonstrate on-target adverse effects identified nonclinically. Integrating clinical and nonclinical data during drug development can facilitate better identification and management of oncology drugs. Follow-up nonclinical studies may be used to better understand the risks in a given patient population and minimize or manage these risks more appropriately. Clin Cancer Res; 22(11); 2618-22. ©2016 AACR SEE ALL ARTICLES IN THIS CCR FOCUS SECTION, "NEW APPROACHES FOR OPTIMIZING DOSING OF ANTICANCER AGENTS".
Insights
Integrating nonclinical and clinical data improves oncology drug development. Early safety assessments and improved predictive models enhance benefit-risk profiles and toxicity management for small-molecule oncology drugs.
Area of Science:
- Oncology Drug Development
- Pharmacology and Toxicology
- Clinical Trial Design
Background:
- Multidisciplinary approaches integrating nonclinical pharmacologic and toxicologic characterization of small-molecule oncology drugs into clinical development can improve patient benefit-risk profiles and toxicity management.
- Current nonclinical safety testing effectively predicts adverse effects with high clinical prevalence but is less reliable for infrequent events, such as with some kinase inhibitors.
Discussion:
- While target biology aids kinase inhibitor adverse effect prediction, drug promiscuity and poorly defined target functions pose risks.
- Improvements in adverse effect databases and target biology characterization can enhance computational modeling for predicting kinase inhibitor toxicities.
- Parallel assessment of safety alongside other drug properties during lead optimization facilitates early identification and mitigation of toxic liabilities.
Key Insights:
- A proactive safety strategy reduces intrinsic toxicity and metabolic risk, leading to selective kinase inhibitors with predictable on-target adverse effects.
- Integrating clinical and nonclinical data aids in better identification and management of oncology drugs throughout development.
- Follow-up nonclinical studies can refine risk assessment and management strategies for specific patient populations.
Outlook:
- Enhanced predictive modeling and data integration are crucial for optimizing oncology drug development pipelines.
- Future research should focus on improving the reliability of nonclinical testing for predicting rare adverse events.
- Continued refinement of safety lead optimization strategies will yield more effective and safer oncology therapeutics.
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