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Published on: March 20, 2021
Pharmacodynamic endpoints as clinical trial objectives to answer important questions in oncology drug development
Ralph E Parchment1, James H Doroshow2
1Clinical Pharmacodynamics Program, Applied/Developmental Research Directorate, Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD.
Abstract:
Analyzing the molecular interplay between malignancies and therapeutic agents is rarely a straightforward process, but we hope that this special issue of Seminars has highlighted the clinical value of such endeavors as well as the relevant theoretical and practical considerations. Here, we conclude with both an overview of the various high-value applications of clinical pharmacodynamics (PD) in developmental therapeutics and an outline of the framework for incorporating PD analyses into the design of clinical trials. Given the increasingly recognized importance of determining and administering the biologically effective dose (BED) and schedule of targeted agents, we explain how clinical PD biomarkers specific to the agent mechanism of action (MOA) can be used for the development of pharmacodynamics-guided biologically effective dosage regimens (PD-BEDR) to maximize the efficacy and minimize the toxicity of targeted therapies. In addition, we discuss how MOA-based PD biomarker analyses can be used both as patient selection diagnostic tools and for designing novel drug combinations targeting the specific mutational signature of a given malignancy. We also describe the role of PD analyses in clinical trials, including for MOA confirmation and dosage regimen optimization during phase 0 trials as well as for correlating molecular changes with clinical efficacy when establishing proof-of-concept in phase I/II trials. Finally, we outline the critical technological developments that are needed to enhance the quality and quantity of future clinical PD data collection, broaden the types of molecular questions that can be answered in the clinic, and, ultimately, improve patient outcomes.
Insights
Clinical pharmacodynamics (PD) guides targeted therapy development by using biomarkers to optimize biologically effective doses (BED) and schedules, maximizing efficacy and minimizing toxicity in cancer treatment.
Area of Science:
- Oncology
- Pharmacology
- Clinical Trial Design
Background:
- Understanding the molecular interactions between cancer and drugs is complex.
- Clinical pharmacodynamics (PD) offers valuable insights into developmental therapeutics.
Purpose of the Study:
- To provide an overview of clinical PD applications in drug development.
- To outline a framework for integrating PD analyses into clinical trial design.
- To highlight the role of PD in optimizing targeted therapies and improving patient outcomes.
Main Methods:
- Utilizing agent-specific mechanism of action (MOA) PD biomarkers.
- Developing pharmacodynamics-guided biologically effective dosage regimens (PD-BEDR).
- Employing MOA-based PD biomarker analyses for patient selection and drug combination design.
- Incorporating PD analyses in early-phase (Phase 0, I/II) clinical trials for MOA confirmation, dose optimization, and proof-of-concept.
Main Results:
- Clinical PD enables the determination of the biologically effective dose (BED) and schedule for targeted agents.
- PD biomarkers can guide the development of personalized dosage regimens (PD-BEDR) to enhance efficacy and reduce toxicity.
- MOA-based PD analyses serve as diagnostic tools for patient selection and inform novel drug combination strategies.
- PD analyses are crucial in clinical trials for validating MOA, optimizing dosage, and correlating molecular changes with clinical outcomes.
Conclusions:
- Clinical pharmacodynamics is essential for advancing targeted cancer therapies.
- Integrating PD into trial design and utilizing PD biomarkers can lead to more effective and safer treatments.
- Technological advancements in PD data collection are critical for future progress in precision oncology.
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