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Programmed Death-Ligand 1 Heterogeneity and Its Impact on Benefit From Immune Checkpoint Inhibitors in NSCLC.
- Source :
-
Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer [J Thorac Oncol] 2020 Sep; Vol. 15 (9), pp. 1449-1459. Date of Electronic Publication: 2020 May 08. - Publication Year :
- 2020
-
Abstract
- Introduction: Programmed death-ligand 1 (PD-L1) expression may vary in different disease sites and at different time points of the disease course. We aimed to investigate PD-L1 heterogeneity and its usefulness as a predictive value for immune checkpoint inhibitor (ICI) therapy in patients with NSCLC.<br />Methods: PD-L1 expression was analyzed in 1398 patients with NSCLC. The predictive value of PD-L1 for ICIs in 398 patients with metastatic NSCLC was assessed.<br />Results: PD-L1 was significantly associated with biopsy sites (p = 0.004). Adrenal, liver, and lymph node (LN) metastases had the highest PD-L1 expression as a continuous variable and at 1% or 50% cutoff. PD-L1 expression was lower in bone and brain metastases. Among 112 patients with two specimens tested, 55 (49%) had major changes in PD-L1 falling into different clinically relevant categories (<1%, 1%-49%, ≥50%) at different time points. Previous ICI therapy was associated with significant decrease in PD-L1 compared with treatment-naive counterparts (p = 0.015). Patients with metastatic NSCLC treated with ICI (n = 398) were divided into three cohorts on the basis of biopsy sites: lung (n = 252), LN (n = 85), and distant metastasis (n = 61). Higher PD-L1 in lung or distant metastasis specimens was associated with higher response rate, longer progression-free survival, and overall survival. However, PD-L1 in LN biopsies was not associated with either response or survival.<br />Conclusions: PD-L1 varies substantially across different anatomical sites and changes during the clinical course. PD-L1 from different biopsy sites may have different predictive values for benefit from ICIs in NSCLC.<br /> (Copyright © 2020 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1556-1380
- Volume :
- 15
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
- Publication Type :
- Academic Journal
- Accession number :
- 32389639
- Full Text :
- https://doi.org/10.1016/j.jtho.2020.04.026