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Preparation of Peripheral Blood Mononuclear Cell Pellets and Plasma from a Single Blood Draw at Clinical Trial Sites for Biomarker Analysis
Published on: March 20, 2021
Pharmacodynamic biomarkers for molecular cancer therapeutics
Debashis Sarker1, Paul Workman
1Signal Transduction and Molecular Pharmacology Team, Cancer Research UK, Centre for Cancer Therapeutics, The Institute of Cancer Research, Haddow Laboratories, Sutton, Surrey SM2 5NG, United Kingdom.
Abstract:
Rational and efficient development of new molecular cancer therapeutics requires discovery, validation, and implementation of informative biomarkers. Measurement of molecular target status, pharmacokinetic (PK) parameters of drug exposure, and pharmacodynamic (PD) endpoints of drug effects on target, pathway, and downstream biological processes are extremely important. These can be linked to therapeutic effects in what we term a "pharmacological audit trail." Using biomarkers in preclinical drug discovery and development facilitates optimization of PK, PD, and therapeutic properties so that the best agent is selected for clinical evaluation. Applying biomarkers in early clinical trials helps identify the most appropriate patients; provides proof of concept for target modulation; helps test the underlying hypothesis; informs the rational selection of dose and schedule; aids decision making, including key go/no go questions; and may explain or predict clinical outcomes. Despite many successes such as trastuzumab and imatinib, exemplifying the value of targeting specific cancer defects, only 5% of oncology drugs that enter the clinic make it to marketing approval. Use of biomarkers should reduce this high level of attrition and bring forward key decisions (e.g., "fail fast"), thereby reducing the spiraling costs of drug development and increasing the likelihood of getting innovative and active drugs to cancer patients. In this chapter, we focus primarily on PD endpoints that demonstrate target modulation, including both invasive molecular assays and functional imaging technology. We also discuss related clinical trial design issues. Implementation of biomarkers in trials remains disappointingly low and we emphasize the need for greater cooperation between various stakeholders to improve this.
Insights
Biomarkers are crucial for developing new cancer drugs by tracking drug effects and patient responses. Implementing these tools can improve drug development efficiency and success rates.
Area of Science:
- Oncology
- Pharmacology
- Biomarker Discovery
Background:
- Efficient development of molecular cancer therapeutics relies on informative biomarkers.
- Biomarkers measure target status, pharmacokinetics (PK), and pharmacodynamics (PD) to establish a
- pharmacological audit trail.
- Despite successes, only 5% of oncology drugs gain marketing approval, highlighting a need for improved development strategies.
Purpose of the Study:
- To emphasize the critical role of biomarkers in preclinical and clinical cancer drug development.
- To discuss how biomarkers optimize drug properties, identify suitable patients, and inform clinical trial decisions.
- To highlight the importance of pharmacodynamic (PD) endpoints and their measurement using molecular assays and functional imaging.
Main Methods:
- Review of biomarker applications in preclinical drug discovery and early clinical trials.
- Focus on pharmacodynamic (PD) endpoints demonstrating target modulation.
- Discussion of invasive molecular assays and functional imaging technologies for PD assessment.
Main Results:
- Biomarker use in preclinical studies optimizes PK/PD properties and agent selection.
- Biomarkers in early clinical trials aid patient selection, proof of concept, hypothesis testing, dose selection, and outcome prediction.
- Successful examples like trastuzumab and imatinib demonstrate biomarker value.
Conclusions:
- Biomarker implementation should reduce attrition rates, enable faster decision-making ('fail fast'), and decrease drug development costs.
- Greater cooperation among stakeholders is needed to increase the disappointing low implementation of biomarkers in clinical trials.
- Enhanced biomarker use can increase the likelihood of bringing innovative and effective cancer drugs to patients.
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