Precision medicine in immune checkpoint blockade therapy for non-small cell lung cancer
1Human Stem Cell Institute, General Hospital, Ningxia Medical University, Yinchuan, 750004, Ningxia, China. liuxiaoming@nxmu.edu.cn.
Abstract:
Immune checkpoint blockade therapy by targeting the programmed death protein 1/programmed death ligand 1 (PD-L1) axis using antibodies has yielded promising clinical responses in patients with non-small cell lung cancer (NSCLC). However, owing to the dynamic expression of PD-L1, degree of mutational/neoantigen load, intratumoral heterogeneity, infiltrated immune cells of tumor microenvironment of NSCLC, the response rates to these agents are limited, despite several companion diagnostic assays by detecting PD-L1 in tumor cells have been introduced into clinical practice. Therefore, in this era of precision medicine, there is an urgent need for predictive biomarkers to identify NSCLC patients likely to benefit from this novel therapy.
Insights
Immune checkpoint inhibitors targeting the programmed death protein 1/programmed death ligand 1 (PD-L1) axis show promise for non-small cell lung cancer (NSCLC). New predictive biomarkers are needed to identify patients who will benefit from this therapy.
Area of Science:
- Oncology
- Immunology
- Biomarker Discovery
Background:
- Immune checkpoint blockade targeting the programmed death protein 1/programmed death ligand 1 (PD-L1) axis has shown clinical efficacy in non-small cell lung cancer (NSCLC).
- Current PD-L1 detection assays for companion diagnostics have limitations due to dynamic PD-L1 expression and tumor microenvironment heterogeneity in NSCLC.
Discussion:
- The effectiveness of PD-1/PD-L1 blockade is influenced by factors like PD-L1 expression dynamics, mutational load, neoantigen presence, and tumor microenvironment composition.
- Limited response rates to immune checkpoint inhibitors in NSCLC highlight the need for improved predictive biomarkers beyond simple PD-L1 detection.
Key Insights:
- Predictive biomarkers are crucial for identifying NSCLC patients likely to respond to PD-1/PD-L1 axis inhibitors.
- Understanding the complex interplay of factors within the NSCLC tumor microenvironment is essential for optimizing immunotherapy.
- Precision medicine approaches require robust biomarkers to guide treatment decisions in NSCLC.
Outlook:
- Further research into novel predictive biomarkers for NSCLC immunotherapy is warranted.
- Development of advanced diagnostic tools that capture tumor heterogeneity and immune cell infiltration will enhance treatment selection.
- Personalized therapeutic strategies hold promise for improving outcomes in NSCLC patients treated with immune checkpoint blockade.
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