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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 expression: An emerging biomarker in non-small cell lung cancer]
Julien Adam1, David Planchard2, Aurélien Marabelle3
1Département de biologie et pathologie médicales, Gustave-Roussy, 114, rue Edouard-Vaillant, 94805 Villejuif cedex, France; Inserm U981, Gustave-Roussy, 114, rue Edouard-Vaillant, 94805 Villejuif cedex, France.
Abstract:
Therapies targeting immune checkpoints, in particular programmed death 1 (PD-1) and its ligand programmed death ligand 1 (PD-L1), are major new strategies for the treatment of several malignancies including mestatatic non-small cell lung cancer (NSCLC). The identification of predictive biomarkers of response is required, considering efficacy, cost and potential adverse events. Expression of PD-L1 by immunohistochemistry has been associated with higher response rate and overall survival in several clinical trials evaluating anti-PD-1 and anti-PD-L1 monoclonal antibodies. Thus, PD-L1 immunohistochemical companion assays could be required for treatment with some of these therapies in NSCLC. However, heterogeneity in methodologies of PD-L1 assays in terms of primary antibodies and scoring algorithms, and tumor heterogenity for PD-L1 expression are important issues to be considered. More studies are required to compare the different assays, ensure their harmonization and standardization and identify the optimal conditions for testing. PD-L1 expression is likely an imperfect predictive biomarker for patient selection and association with other markers of the tumor immune microenvironment will be probably necessary in the future.
Insights
Identifying predictive biomarkers like programmed death ligand 1 (PD-L1) expression is crucial for optimizing cancer immunotherapies, such as anti-PD-1/PD-L1 antibodies in non-small cell lung cancer (NSCLC). Further research is needed to standardize PD-L1 testing and explore its combination with other markers.
Area of Science:
- Oncology
- Immunology
- Biomarker Research
Background:
- Immune checkpoint inhibitors targeting programmed death 1 (PD-1) and programmed death ligand 1 (PD-L1) represent a significant advancement in treating various cancers, including metastatic non-small cell lung cancer (NSCLC).
- The clinical utility of these therapies necessitates the identification of reliable predictive biomarkers to guide treatment decisions, optimize efficacy, and manage costs and adverse events.
Purpose of the Study:
- To evaluate the role of programmed death ligand 1 (PD-L1) expression as a predictive biomarker for response to immune checkpoint inhibitors in non-small cell lung cancer (NSCLC).
- To highlight the challenges and future directions in standardizing PD-L1 testing methodologies for clinical application.
Main Methods:
- Review of clinical trial data associating PD-L1 expression, assessed by immunohistochemistry (IHC), with response rates and survival outcomes in patients treated with anti-PD-1 and anti-PD-L1 therapies.
- Analysis of methodological variations in PD-L1 IHC assays, including primary antibodies and scoring algorithms, and their impact on results.
Main Results:
- PD-L1 expression detected by IHC has shown correlation with improved response rates and overall survival in patients with NSCLC receiving immune checkpoint inhibitors.
- Significant heterogeneity exists in PD-L1 assay methodologies and tumor expression patterns, posing challenges for consistent patient selection.
Conclusions:
- PD-L1 expression is a promising but imperfect predictive biomarker for guiding immune checkpoint inhibitor therapy in NSCLC.
- Standardization and harmonization of PD-L1 testing assays are essential. Future strategies may involve combining PD-L1 assessment with other tumor immune microenvironment markers for more accurate patient stratification.
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