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PD-L1 expression as a predictive biomarker in advanced non-small-cell lung cancer: updated survival data.
- Source :
-
Immunotherapy [Immunotherapy] 2017 May; Vol. 9 (6), pp. 499-506. - Publication Year :
- 2017
-
Abstract
- Aim: The treatment of non-small-cell lung cancer has changed after the development of the immune checkpoint inhibitors. Although the most studied biomarker is PD-L1 expression, its clinical significance is still debatable. In this article, we show the updated survival analysis of all published data.<br />Methods: We searched in network and conference data sources for relevant clinical studies of immunotherapy for non-small-cell lung cancer that assessed the PD-L1 expression even as an exploratory analysis. The updated survival hazard ratios (HR) were included in the analysis.<br />Results: 14 studies with 2857 patients were included (2019 treated with immunotherapy). The response rate was as higher among PD-L1-positive patients (RR: 2.19, 95% CI: 1.63-2.94). PD-L1 expression was also related to better progression-free survival (HR: 0.69, 95% CI: 0.57-0.85) and better overall survival (HR: 0.77, 95% CI: 0.67-0.89).<br />Conclusion: PD-L1 overexpression predicts activity as well as better survival for patients treated with immune checkpoint inhibitors.
- Subjects :
- B7-H1 Antigen genetics
Biomarkers, Tumor genetics
Carcinoma, Non-Small-Cell Lung mortality
Carcinoma, Non-Small-Cell Lung therapy
Humans
Lung Neoplasms mortality
Lung Neoplasms therapy
Nivolumab
Predictive Value of Tests
Prognosis
Programmed Cell Death 1 Receptor immunology
Survival Analysis
Antibodies, Monoclonal therapeutic use
Antibodies, Monoclonal, Humanized therapeutic use
B7-H1 Antigen metabolism
Biomarkers, Tumor metabolism
Carcinoma, Non-Small-Cell Lung diagnosis
Immunotherapy methods
Lung Neoplasms diagnosis
Subjects
Details
- Language :
- English
- ISSN :
- 1750-7448
- Volume :
- 9
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Immunotherapy
- Publication Type :
- Academic Journal
- Accession number :
- 28472902
- Full Text :
- https://doi.org/10.2217/imt-2016-0150