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. 2021 Mar 22;7(1):00787-2020.
doi: 10.1183/23120541.00787-2020. eCollection 2021 Jan.

High sensitivity of PD-L1 analysis from pleural effusion in nonsmall cell lung cancer

Affiliations

High sensitivity of PD-L1 analysis from pleural effusion in nonsmall cell lung cancer

Lars Hagmeyer et al. ERJ Open Res. .

Abstract

Background: Programmed cell death protein 1 (PD-1)/programmed cell death protein ligand 1 (PD-L1) immune checkpoint inhibitors have been approved for monotherapy of metastatic nonsmall cell lung cancer (mNSCLC) depending on tumour cells' PD-L1 expression. Pleural effusion is common in mNSCLC. The significance of immunocytochemistry PD-L1 analysis from pleural effusion samples is unclear. Aim: The aim of the study was to analyse the sensitivity regarding immunocytochemistry PD-L1 analysis of pleural effusion in NSCLC as compared to immunohistochemistry of pleural biopsies. Patients and Methods: Fifty consecutive subjects (17 female, median age 72.5 years, seven never-smokers) were enrolled in this prospective controlled two-centre study. Inclusion criteria were pleural effusion, suspected or known lung cancer, indication for pleural puncture and thoracoscopy, and written informed consent. Immunocytochemistry and immunohistochemistry PD-L1 analyses were performed with the Dako-PDL1-IHC-22C3pharmDx assay. Analysis for sensitivity, specificity, and positive and negative predictive value was performed for PD-L1 detection from pleural effusion. Results: 50 subjects underwent pleural puncture and thoracoscopy. Pathological diagnoses were lung cancer (48), lymphoma (1) and mesothelioma (1). Sensitivity, specificity, positive predictive value and negative predictive value of PD-L1-testing with expression ≥50% defined as positive were 100% (95% CI 46-100%), 63% (36-84%), 45% (18-75%) and 100% (66-100%), and with expression ≥1% defined as positive 86% (56-97%), 43% (12-80%), 75% (47-92%) and 60% (17-93%). Conclusion: PD-L1 analysis in tumour-positive pleural effusion samples shows a very high sensitivity and negative predictive value, especially regarding PD-L1 expression levels ≥50% (European Medicines Agency approval). Negative results are reliable and help in the decision against a first-line checkpoint inhibitor monotherapy. However, a 1% cut-off level (United States Food and Drug Administration approval) leads to a markedly lower negative predictive value, making other invasive procedures necessary (NCT02855281).

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Conflict of interest statement

Conflict of interest: L. Hagmeyer reports grants from MSD Sharp & Dohme GmbH, Haar, Germany, during the conduct of the study; and grants from AstraZeneca, from Roche, from Boehringer Ingelheim and from Pfizer, outside the submitted work. Conflict of interest: S. Schäfer reports personal fees from Boehringer Ingelheim and BMS outside the submitted work. Conflict of interest: M. Engels has nothing to disclose. Conflict of interest: A. Pietzke-Calcagnile has nothing to disclose. Conflict of interest: M. Treml has nothing to disclose. Conflict of interest: S-D. Herkenrath has nothing to disclose. Conflict of interest: M. Heldwein has nothing to disclose. Conflict of interest: K. Hekmat has nothing to disclose. Conflict of interest: S. Matthes has nothing to disclose. Conflict of interest: A. Scheel has nothing to disclose. Conflict of interest: J. Wolf reports personal fees from Abbvie, AstraZeneca and Blueprint, grants and personal fees from BMS, personal fees from Böhringer, Chugai and Ignyta, grants and personal fees from Jannsen, personal fees from Lilly and Loxo, grants and personal fees from MSD, Novartis and Pfizer, and personal fees from Roche and Takeda, outside the submitted work. Conflict of interest: R. Buettner has nothing to disclose. Conflict of interest: W. Randerath reports speaking fees and travel grants from Philips Respironics, Heinen and Löwenstein, Resmed, Bayer Vital, Bioprojet, and Vanda Pharma, outside the submitted work.

Figures

FIGURE 1
FIGURE 1
Flow chart depicting numbers of different samples and corresponding diagnostic procedures. PD-L1: programmed cell death protein ligand 1; SCLC: small cell lung cancer; IHC: immunohistochemistry; ICC: immunocytochemistry.
FIGURE 2
FIGURE 2
Proposed clinical algorithm for programmed cell death protein ligand 1 (PD-L1) testing in nonsmall cell lung cancer (NSCLC) patients with pleural effusion (PE).

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