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Updated: Jan 1, 2026

Identifying PD-1/PD-L1 Inhibitors with Surface Plasmon Resonance Technology
Published on: May 2, 2025
Structure and Optimization of Checkpoint Inhibitors
Sarah L Picardo1, Jeffrey Doi2, Aaron R Hansen1
1Department of Medical Oncology, Princess Margaret Cancer Centre, 700 University Avenue, Toronto, ON M5G 1X6, Canada.
Abstract:
With the advent of checkpoint inhibitor treatment for various cancer types, the optimization of drug selection, pharmacokinetics and biomarker assays is an urgent and as yet unresolved dilemma for clinicians, pharmaceutical companies and researchers. Drugs which inhibit cytotoxic T-lymphocyte associated protein-4 (CTLA-4), such as ipilimumab and tremelimumab, programmed cell death protein-1 (PD-1), such as nivolumab and pembrolizumab, and programmed cell death ligand-1 (PD-L1), such as atezolizumab, durvalumab and avelumab, each appear to have varying pharmacokinetics and clinical activity in different cancer types. Each drug differs in terms of dosing, which becomes an issue when drug comparisons are attempted. Here, we examine the various checkpoint inhibitors currently used and in development. We discuss the antibodies and their protein targets, their pharmacokinetics as measured in various tumor types, and their binding affinities to their respective antigens. We also examine the various dosing regimens for these drugs and how they differ. Finally, we examine new developments and methods to optimize delivery and efficacy in the field of checkpoint inhibitors, including non-fucosylation, prodrug formations, bispecific antibodies, and newer small molecule and peptide checkpoint inhibitors.
Insights
Checkpoint inhibitors like CTLA-4, PD-1, and PD-L1 offer cancer treatment options but require optimized selection and dosing. This review examines their pharmacokinetics, binding affinities, and novel strategies for enhanced efficacy.
Area of Science:
- Immunology
- Oncology
- Pharmacology
Background:
- Checkpoint inhibitors targeting CTLA-4, PD-1, and PD-L1 are crucial in cancer therapy.
- Variations in pharmacokinetics, clinical activity, and dosing among these drugs present challenges for optimal use.
Purpose of the Study:
- To review current and developing checkpoint inhibitors.
- To analyze their protein targets, pharmacokinetics, binding affinities, and dosing regimens.
- To explore novel methods for optimizing checkpoint inhibitor delivery and efficacy.
Main Methods:
- Review of existing literature on checkpoint inhibitors.
- Analysis of pharmacokinetic data across different cancer types.
- Examination of drug binding affinities and dosing strategies.
- Discussion of emerging technologies like non-fucosylation and bispecific antibodies.
Main Results:
- Checkpoint inhibitors exhibit diverse pharmacokinetic profiles and clinical activities.
- Differences in dosing regimens complicate direct drug comparisons.
- Emerging strategies aim to improve delivery and therapeutic outcomes.
Conclusions:
- Optimizing checkpoint inhibitor selection, dosing, and delivery is critical for cancer treatment.
- Further research into novel formulations and delivery methods is essential for maximizing efficacy.
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