Late-phase strategies to overcome limitations of PD-1/PD-L1 therapy: a clinical development trajectory through 2030

Elena A Andresyuk1, Natalya O Porozova1, Georgii D Londaridze2

  • 1The Laboratory of Bio- and Chemoinformatics, School of Computer Science, Physics and Technology, HSE University, St. Petersburg, Russia.

Frontiers in Oncology
|August 11, 2026
PubMed

Insights

This review identifies key strategies to improve programmed cell death protein 1 (PD-1)/programmed death-ligand 1 (PD-L1) inhibitor effectiveness. It prioritizes 47 late-phase programs most likely to yield clinical benefit by 2030.

Area of Science:

  • Oncology
  • Immunotherapy
  • Clinical Trial Analysis

Background:

  • Programmed cell death protein 1 (PD-1)/programmed death-ligand 1 (PD-L1) axis inhibition is a standard cancer therapy.
  • Durable responses are limited, and many combination strategies fail in late-phase trials.
  • Identifying optimal development directions is crucial for advancing immunotherapy.

Purpose of the Study:

  • To identify clinically meaningful development strategies for PD-1/PD-L1 inhibitors.
  • To predict practice-relevant late-phase trial outcomes through 2030.
  • To overcome limitations and expand durable benefit from PD-1/PD-L1 blockade.

Main Methods:

  • Structured narrative review of registry-derived data.
  • Searched international and regional clinical trial registries.
  • Applied harmonization, deduplication, late-phase filtering, prioritization, and verification.

Main Results:

  • Analyzed over 13,000 PD-1/PD-L1 studies, identifying 47 clinically relevant late-phase programs.
  • Classified programs by clinicobiological barriers and clinical promise criteria (exposure, toxicity, benefit).
  • A subset of confirmatory programs testing incremental benefit in comparative designs emerged.

Conclusions:

  • These 47 programs represent the leading strategies for the next phase of PD-1/PD-L1 development.
  • The findings provide a framework for prioritizing future translational and late-phase research.
  • Focusing on these areas is most likely to generate practice-relevant clinical benefit by 2030.

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