Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Aug;71(8):1823-1835.
doi: 10.1007/s00262-021-03107-y. Epub 2022 Jan 5.

The integration of systemic and tumor PD-L1 as a predictive biomarker of clinical outcomes in patients with advanced NSCLC treated with PD-(L)1blockade agents

Affiliations

The integration of systemic and tumor PD-L1 as a predictive biomarker of clinical outcomes in patients with advanced NSCLC treated with PD-(L)1blockade agents

Carlos Zamora Atenza et al. Cancer Immunol Immunother. 2022 Aug.

Abstract

Background: Tumor PD-L1 expression is a predictive biomarker for patients with NSCLC receiving PD-(L)1 blockade agents. However, although increased tumor PD-L1 expression predicts responsiveness, clinical benefit has been observed regardless of tumor PD-L1 expression, suggesting the existence of other PD-L1 sources. The aim of our study was to analyze whether integrating systemic and tumor PD-L1 is more predictive of efficacy in patients with advanced NSCLC receiving PD-(L)1 blockade agents.

Material and methods: Twenty-nine healthy donors and 119 consecutive patients with advanced NSCLC treated with PD-(L)1 drug were prospectively included. Pretreatment blood samples were collected to evaluate PD-L1 levels on circulating immune cells, platelets (PLTs), platelet microparticles (PMPs), and the plasma soluble PD-L1 concentration (sPD-L1). Tumor PD-L1 status was assessed by immunohistochemistry. The percentages of circulating PD-L1 + leukocytes, sPD-L1 levels, and tumor PD-L1 were correlated with efficacy.

Results: No differences in the percentages of circulating PD-L1 + leukocytes were observed according to tumor PD-L1 expression. Significantly longer progression-free survival was observed in patients with higher percentages of PD-L1 + CD14 + , PD-L1 + neutrophils, PD-L1 + PLTs, and PD-L1 + PMPs and significantly longer overall survival was observed in patients with higher percentages of PD-L1 + CD14 + and high tumor PD-L1 expression. Integrating the PD-L1 data of circulating and tumor PD-L1 results significantly stratified patients according to the efficacy of PD-(L1) blockade agents.

Conclusions: Our results suggest that integrating circulating PD-L1 + leukocytes, PLT, PMPs, and sPD-L1 and tumor PD-L1 expression may be helpful to decide on the best treatment strategy in patients with advanced NSCLC who are candidates for PD-(L)1 blockade agents.

Keywords: Immunotherapy; NSCLC; Predictive biomarker; Soluble PD-L1; Systemic PD-L1.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no conflict of interest.

Figures

Fig. 1
Fig. 1
Percentage of baseline circulating PD-L1 + leukocytes, PD-L1 + PLTs and PMPs and plasma sPD-L1 levels in patients with advanced NSCLC and HD prior to PD-(L)1 therapy. a Representative image of PD-L1 expression (PD-L1 +) on circulating CD4 + and CD8 + T lymphocytes, CD8 + NK cells, CD14 + monocytes, Neutrophils, platelets (PLTs), and platelets microparticles (PMPs) from HD and patients with NSCLC. b Dot plots show the percentage of circulating PD-L1 + leukocytes subpopulations (HD and 119 patients with NSCLC), PLTs and PMPs (HD and 76 patients with NSCLC), and c plasma soluble PD-L1 (sPD-L1) levels (HD and 118 NSCLC patients). * p < 0.05, **p < 0.01 and ***p < 0.001
Fig. 2
Fig. 2
Percentage of circulating PD-L1 + leukocytes, PD-L1 + PLTs and PMPs, and plasma sPD-L1 levels according to tumor PD-L1 expression. Dot plots show percentage of a PDL1 + CD4 + , PD-L1 + CD8 + and PD-L1 + CD8 + NK cells (102 patients with NSCLC), b PD-L1 + CD14 + and PD-L1 + Neutrophils (102 patients with NSCLC), c Platelets (PLTs) and platelets microparticles (PMPs) (73 patients with NSCLC) and d plasma soluble PD-L1 (sPD-L1) (101 patients with NSCLC) according to PD-L1 tumor expression (TPS: tumor proportion score)
Fig. 3
Fig. 3
Median progression-free survival comparing high and low percentage of PD-L1 + leukocytes, PD-L1 + PLTs and PMPs, plasma sPD-L1 levels, and tumor PD-L1 expression. Median progression-free survival (PFS) according to high or low group of a PD-L1 + CD4 + , b PD-L1 + CD8 + , c PD-L1 + CD8 + NK cells, d PD-L1 + CD14 + , e PD-L1 + Neutrophils, f pg/ml of sPD-L1, g PD-L1 + PLTs and h PD-L1 + PMPs. i tumor proportion score (TPS)
Fig. 4
Fig. 4
Median overall survival comparing high and low percentage of PD-L1 + leukocytes, PD-L1 + PLTs and PMPs, plasma sPD-L1 levels, and tumor PD-L1 expression. Median progression-free survival (PFS) according to high or low group of a PD-L1 + CD4 + , b PD-L1 + CD8 + , c PD-L1 + CD8 + NK cells, d PD-L1 + CD14 + , e PD-L1 + Neutrophils, f pg/ml of sPD-L1, g PD-L1 + PLTs and h PD-L1 + PMPs. i Tumor proportion score (TPS)
Fig. 5
Fig. 5
Median progression-free survival (PFS) and overall survival (OS) in different groups of patients with NSCLC achieved according to the integration of PD-L1 data (IPD) from different systemic and tumor sources. a ROC curve comparing the integrated PD-L1 data (IPD) from systemic and tumor PD-L1 sources (leukocytes, PLTs and PMPs, sPD-L1 and TPS) from patients with progressive versus non-progressive disease to PD-(L)1 blockade agents to obtain the best cut-off point to discriminate them. b MedianPFS and c median OS according to the cut-off point (154.1). d ROC curve comparing the IPD from PD-L1 + CD14 + and tumor PD-L1 expression from patients with progressive versus non-progressive disease to PD-(L)1 blockade agents. e Median PFS and f median OS according to the cut-off point (83.85). g ROC curve comparing the IPD from PD-L1 + leukocytes, PD-L1 + PLTs and PMPs and plasma sPD-L1 levels from patients with progressive versus non-progressive disease to PD-(L)1 blockade agents. h Median PFS and i median OS according to the cut-off point (105)
Fig. 6
Fig. 6
A model of the systemic and local PD-L1 sources in patients with advanced NSCLC. The PD-L1 sources that we have associated with the clinical outcome of patients with advanced NSCLC treated with anti-PD-(L)1 blockade agents are highlighted with color squares. We found that higher percentages of PD-L1 + monocytes were associated with longer PFS and OS, higher percentages of PD-L1 + neutrophils, PLTs, and PMPs with PFS, and higher percentages of PD-L1 + tumor cells with OS. Figure created with Biorender.com

References

    1. Nixon NA, Blais N, Ernst S, et al. Current landscape of immunotherapy in the treatment of solid tumours, with future opportunities and challenges. Curr Oncol. 2018;25:e373–e384. doi: 10.3747/co.25.3840. - DOI - PMC - PubMed
    1. Bocanegra A, Blanco E, Fernandez-Hinojal G, et al. PD-L1 in systemic immunity: unraveling its contribution to PD-1/PD-L1 blockade immunotherapy. Int J Mol Sci. 2020;21:1–17. doi: 10.3390/ijms21165918. - DOI - PMC - PubMed
    1. Hui R, Gandhi L, Carcereny Costa E, et al. Long-term OS for patients with advanced NSCLC enrolled in the KEYNOTE-001 study of pembrolizumab (pembro) J Clin Oncol. 2016;34:9026–9026. doi: 10.1200/jco.2016.34.15_suppl.9026. - DOI
    1. Hartley G, Regan D, Guth A, Dow S. Regulation of PD-L1 expression on murine tumor-associated monocytes and macrophages by locally produced TNF-α. Cancer Immunol Immunother. 2017;66:523–535. doi: 10.1007/s00262-017-1955-5. - DOI - PMC - PubMed
    1. Hallqvist A, Rohlin A, Raghavan S (2020) Immune checkpoint blockade and biomarkers of clinical response in non–small cell lung cancer. Scand J Immunol 92. 10.1111/sji.12980 - PMC - PubMed