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Using 22C3 Anti-PD-L1 Antibody Concentrate on Biopsy and Cytology Samples from Non-small Cell Lung Cancer Patients
Published on: September 25, 2018
PD-L1 testing, fit for routine evaluation? From a pathologist's point of view
1Department of Pathology, University Hospital and Paracelsus Medical University Salzburg, Müllner Hauptstraße 48, Salzburg, 5020 Austria.
Abstract:
Tumours with high somatic mutation rates escape immune surveillance by upregulating receptors and ligands such as programmed death receptor-1 and its ligand (PD-1/PD-L1). Checkpoint inhibitors (ICI) provide encouraging therapeutic results in non-small cell lung cancers (NSCLC) and may soon be used in 2nd or 1st line therapy. Currently PD-L1 immunohistochemistry (IHC) expression assessed on tumour cells is used as a predictive biomarker, since better patient outcomes are often, but not always associated with increased tumour cell PD-L1 IHC expression. However pre-analytical variables, different anti-PD-L1 clones used on different staining platforms, different specimens types, as well as intra- and interobserver variability influence the results. We will only understand PD-L1 expression on tumour cells if we accept that PD-L1 is an inducible pathophysiological factor with variable levels of PD-L1 expression depending on the immunological status. Should we test PD-L1 during initial diagnostic work up before, or at the point when immune checkpoint therapy is considered? Taking all arguments into account the value of PD-L1 as a predictive biomarker is questionable. Other predictive biomarkers such as high mutation burden, mRNA expression, neo-antigens and the diversity of tumour antigen-specific T cells should be evaluated in the future. Here we review results presented in 30 journal articles and three reviews covering this topic in the last 3 years.
Insights
Programmed death-ligand 1 (PD-L1) expression is a questionable biomarker for predicting response to immune checkpoint inhibitors (ICI) in non-small cell lung cancer (NSCLC). Future research should explore alternative biomarkers like mutation burden and neo-antigens.
Area of Science:
- Oncology
- Immunology
- Biomarker Discovery
Background:
- High somatic mutation rates in tumors can lead to immune evasion via programmed death-receptor 1/programmed death-ligand 1 (PD-1/PD-L1) upregulation.
- Immune checkpoint inhibitors (ICIs) show promise in non-small cell lung cancer (NSCLC) treatment, potentially for first or second-line therapy.
- Current PD-L1 expression testing via immunohistochemistry (IHC) on tumor cells has limitations as a predictive biomarker.
Approach:
- This review analyzes 30 journal articles and 3 reviews from the past 3 years on PD-L1 as a predictive biomarker in NSCLC.
- The review discusses the variability and influencing factors of PD-L1 IHC testing, including pre-analytical variables, antibody clones, specimen types, and interobserver variability.
- The inducible nature of PD-L1 expression and its dependence on immunological status are considered.
Key Points:
- PD-L1 IHC expression on tumor cells is not always reliably associated with better patient outcomes in NSCLC.
- Factors such as pre-analytical variables, staining platforms, specimen types, and observer variability significantly impact PD-L1 IHC results.
- Understanding PD-L1 expression requires acknowledging it as an inducible factor with variable levels dependent on the patient's immunological status.
Conclusions:
- The predictive value of PD-L1 as a biomarker for ICI therapy in NSCLC is questionable.
- Alternative predictive biomarkers, including high tumor mutational burden, mRNA expression, neo-antigens, and tumor antigen-specific T-cell diversity, warrant future evaluation.
- The timing of PD-L1 testing in relation to initiating immune checkpoint therapy requires careful consideration.
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