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Updated: May 14, 2026

Evaluating the Effectiveness of Cancer Drug Sensitization In Vitro and In Vivo
Published on: February 6, 2015
How can attrition rates be reduced in cancer drug discovery?
Abstract:
Attrition is a major issue in anticancer drug development with up to 95% of drugs tested in Phase I trials not reaching a marketing authorisation making the drug development process enormously costly and inefficient. It is essential that this problem is addressed throughout the whole drug development process to improve efficiency which will ultimately result in increased patient benefit with more profitable drugs. The approach to reduce cancer drug attrition rates must be based on three pillars. The first of these is that there is a need for new pre-clinical models which can act as better predictors of success in clinical trials. Furthermore, clinical trials driven by tumour biology with the incorporation of predictive and pharmacodynamic biomarkers would be beneficial in drug development. Finally, there is a need for increased collaboration to combine the unique strengths between industry, academia and regulators to ensure that the needs of all stakeholders are met.
Insights
High attrition rates in anticancer drug development necessitate improvements. Addressing this requires better preclinical models, biomarker-driven clinical trials, and enhanced collaboration among stakeholders.
Area of Science:
- Oncology
- Pharmacology
- Drug Development
Background:
- Anticancer drug development faces significant attrition, with up to 95% of Phase I drugs failing to gain marketing authorization.
- This inefficiency results in substantial financial costs and delays in bringing potentially life-saving treatments to patients.
Discussion:
- Improving efficiency requires a multi-faceted approach to reduce cancer drug attrition rates.
- Key strategies include developing superior preclinical models for better clinical trial prediction.
- Integrating predictive and pharmacodynamic biomarkers into tumor biology-driven clinical trials is crucial.
Key Insights:
- Enhanced preclinical models are essential for predicting clinical trial success.
- Biomarker-driven clinical trials focusing on tumor biology can improve drug development outcomes.
- Collaboration between industry, academia, and regulatory bodies is vital.
Outlook:
- Implementing these strategies can lead to more efficient and profitable drug development.
- Ultimately, reducing attrition benefits patients by accelerating access to effective cancer therapies.
- Fostering collaboration ensures that the needs of all stakeholders are addressed for a streamlined process.
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