Immuno-pharmacodynamics for evaluating mechanism of action and developing immunotherapy combinations
Ralph E Parchment1, Andrea Regier Voth1, James H Doroshow2
1Clinical Pharmacodynamics Program, Applied/Developmental Research Directorate, Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD.
Abstract:
Immunotherapy has become a major modality of cancer treatment, with multiple new classes of immunotherapeutics recently entering the clinic and obtaining market approval from regulatory agencies. While the promise of these therapies is great, so is the number of possible combinations not only with each other but also with small molecule therapeutics. Furthermore, the observation of unusual dose-response relationships suggests a critical dependency of drug effectiveness on the dosage regimen (dose and schedule). Clinical pharmacodynamic (PD) biomarkers will be useful endpoints for confirming drug mechanism of action, evaluating combination therapies for synergy or antagonism, and identifying optimal dosage regimens. In contrast to conventional PD in which drug action occurs entirely within a single target cell (ie, is self-contained within the malignant cell), immunotherapy involves a complex mechanism of action with sequential steps that propagate through multiple cell types, both normal and malignant. Its intercellular pharmacology begins with molecular target engagement either on an immune effector cell or a malignant cell, followed by stimulatory biochemical and biological signals in immune effector cells, and then finally ends with activation of cell death mechanisms in malignant cells lying within a certain distance from the activated effector cells (immune cell-tumor cell proximity). Evaluating such "trans-cellular pharmacology," in which different steps of drug action are distributed across multiple cell types, requires novel microscopy and image analysis tools capable of quantifying PD-biomarker responses, mapping the responses onto the cellular geography of the tumor using phenotypic biomarkers to identify specific cell types, and finally analyzing the spatial relationships between biomarkers in the context of each cell's biological role. We have termed this form of nearest neighbor image analysis of drug action "proximity PD microscopy," to indicate the importance of the location of the PD-biomarker response within the cellular landscape of a tumor specimen. We discuss herein the major modes of immunotherapy, and lay out a blueprint for using PD assessment to optimize dosage regimens of single agents and guide development of combination immunotherapy regimens, using PD1/PD-L1 immune checkpoint inhibition as a case study.
Insights
Clinical pharmacodynamic (PD) biomarkers are crucial for optimizing cancer immunotherapy. New "proximity PD microscopy" methods analyze drug action across multiple cell types to guide effective dosing and combination therapies.
Area of Science:
- Oncology
- Immunology
- Pharmacology
Background:
- Immunotherapy is a key cancer treatment, with numerous agents approved.
- Optimizing immunotherapy combinations and dosage regimens is challenging due to complex dose-response relationships.
- Conventional pharmacodynamic (PD) assessments are insufficient for evaluating immunotherapy's multi-cellular mechanisms.
Purpose of the Study:
- To highlight the need for novel PD assessment strategies in cancer immunotherapy.
- To introduce "proximity PD microscopy" for evaluating trans-cellular pharmacology.
- To propose a framework for optimizing immunotherapy dosage and combinations using PD assessment.
Main Methods:
- Describing major immunotherapy modes and their complex mechanisms of action.
- Introducing "proximity PD microscopy" for nearest neighbor image analysis of drug action.
- Utilizing phenotypic biomarkers and spatial analysis to map PD responses within the tumor microenvironment.
Main Results:
- Immunotherapy involves sequential, multi-cell type interactions, necessitating advanced PD assessment.
- "Proximity PD microscopy" enables quantification of PD biomarkers across cellular geographies.
- PD assessment can guide optimization of single-agent and combination immunotherapy regimens.
Conclusions:
- Novel PD assessment tools like "proximity PD microscopy" are essential for understanding and optimizing cancer immunotherapies.
- Evaluating trans-cellular pharmacology is critical for drug development and clinical application.
- PD assessment provides a roadmap for personalized immunotherapy strategies, using PD1/PD-L1 inhibition as a model.
Related Concept Videos
Pharmacokinetic–Pharmacodynamic Relationship: Problems
Pharmacodynamic Models: Direct Effect Model and Indirect Response Model
Measurement of Bioavailability: Pharmacodynamic Methods
Tumor Immunotherapy
Pharmacodynamic Models: Overview
Pharmacodynamics: Overview and Principles
Most drugs' effects result from their interactions with drug receptors or targets within the body. These interactions trigger specific responses at the cellular or systemic level. Drug receptors can be found on the surfaces of cells or...


