Refining PD-1/PD-L1 assessment for biomarker-guided immunotherapy: A review

Marek Zdrenka1, Adam Kowalewski1, Navid Ahmadi2

  • 1Department of Tumor Pathology and Pathomorphology, Oncology Centre-Prof. Franciszek Łukaszczyk Memorial Hospital, Bydgoszcz, Poland.

PubMed

Insights

Accurate prediction of anti-programmed cell death ligand 1 (anti-PD-L1) therapy response is crucial. This review explores solutions to improve PD-L1 assessment, enhancing patient stratification and treatment outcomes.

Area of Science:

  • Oncology
  • Immunotherapy
  • Biomarker Discovery

Background:

  • Anti-programmed cell death ligand 1 (anti-PD-L1) immunotherapy is vital in cancer treatment.
  • Four FDA-approved PD-L1 immunohistochemistry (IHC) kits exist, but use distinct, non-interchangeable scoring systems.
  • Tumor heterogeneity and specimen size can cause PD-L1 status misclassification, impeding therapy initiation.

Purpose of the Study:

  • To review potential solutions for improving the predictive accuracy of PD-L1 assessment.
  • To identify strategies for better patient stratification for anti-PD-1/PD-L1 therapy.
  • To explore methods for monitoring disease progression and predicting clinical outcomes.

Main Methods:

  • Literature review of current PD-L1 detection methods and scoring systems.
  • Analysis of factors contributing to PD-L1 status misclassification.
  • Exploration of novel biomarkers and refined sampling criteria.

Main Results:

  • Current PD-L1 IHC kits and scoring systems present challenges in consistent interpretation.
  • Tumor heterogeneity and sampling bias are significant limitations in PD-L1 assessment.
  • Development of more accurate predictive biomarkers is needed to optimize anti-PD-L1 therapy efficacy.

Conclusions:

  • Refining sampling criteria and enhancing PD-L1 detection methods are essential.
  • Integrating additional biomarkers may improve patient response prediction.
  • Improved PD-L1 assessment is critical for personalized cancer immunotherapy.

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