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Updated: Jan 26, 2026

Using 22C3 Anti-PD-L1 Antibody Concentrate on Biopsy and Cytology Samples from Non-small Cell Lung Cancer Patients
Published on: September 25, 2018
Beyond PD-L1 Markers for Lung Cancer Immunotherapy
Kamila Wojas-Krawczyk1, Ewa Kalinka2, Anna Grenda3
1Department of Pneumonology, Oncology and Allergology, Medical University of Lublin, 20-090 Lublin, Poland. kamilawojas@wp.pl.
Predictive factors for immunotherapy in non-small cell lung cancer (NSCLC) are crucial. New markers like tumor mutation burden and gut microbiome are being explored to improve patient selection for immune checkpoint inhibitor therapy.
Area of Science:
- Oncology
- Immunology
Background:
- Immune checkpoint inhibitors (ICIs) are standard NSCLC treatment.
- Current predictive factors (PD-L1, TMB) have limitations in patient selection.
- Not all patients with current markers benefit from ICI therapy.
Purpose of the Study:
- To highlight factors influencing ICI efficacy in NSCLC.
- To emphasize the need for novel predictive markers.
- To draw attention to tumor immunophenotype and gut microbiome.
Main Methods:
- Review of current literature on predictive factors for ICI therapy in NSCLC.
- Discussion of emerging research on tumor immunophenotype and gut microbiome.
- Analysis of limitations in current predictive marker testing and interpretation.
Main Results:
- PD-L1 expression and tumor mutation burden (TMB) are used but have limitations.
- Methodological challenges exist in testing and interpreting current predictive factors.
- Early correlations suggest tumor inflammation and gut microbiome influence ICI effectiveness.
Conclusions:
- Accurate predictive factors are needed for optimal NSCLC immunotherapy.
- Tumor mutation burden (TMB) and microbiome profiling show promise as additional markers.
- Further research is required to identify and validate new biomarkers for patient stratification.
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