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Updated: Apr 28, 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
From Basics to Benchmarks: Evaluating Sample Adequacy, PD-L1 Expression, and Molecular Profiling in Effusion Samples
Harpreet Virk1, Claire Michael1, Keri Ann Pfeil2
1Department of Pathology, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio, USA.
Introduction:
Lung adenocarcinoma commonly causes malignant pleural effusion (MPE), a condition with poor prognosis and limited treatment options. Pleural effusion specimens offer a minimally invasive source for diagnosis and molecular testing. This study evaluates cytologic adequacy for molecular analysis, characterizes mutational and PD-L1 profiles, and correlates findings with survival outcomes.
Methods:
Over 10 years, a review of 2400 MPE identified 94 lung adenocarcinoma cases that underwent next generation sequencing (NGS). Patient demographics, cytological characteristics, molecular features, and survival outcome were integrated for analysis.
Results:
The mean effusion volume submitted for cytological and molecular testing was 589.8 mL (range 4-2790 mL) and mean tumor cellularity was 40% (range 10%-90%). NGS identified mutations in 86/94 cases (91%). TP53 was the most common alteration (42/94, 44.6%). FDA-approved biomarkers were detected: KRAS (28/94, 29.7%); EGFR (15/94, 15.9%); BRAF (8/94, 8.5%); ALK (3/94, 4.2%), ROS1 (2/94, 2.1%), RET fusions (1/94, 1%); and MET amplification (2/94, 2.1%). Smoking was associated with bloody effusions (p = 0.049), frequent TP53 mutations (p = 0.018), and fewer EGFR mutations (p = 0.012). Patients with effusions as primary presentation was associated with higher mortality (p = 0.002), frequent TTF-1 positivity (p = < 0.001) and frequent BRAF mutations (p = 0.049). TTF-1 positivity was associated with higher PD-L1 scores (p = 0.035). Survival was shorter in male patients (p = 0.045), smokers (p = 0.025), concurrent pericardial effusions (p = 0.027), and with TP53 mutation (p = 0.002).
Conclusions:
Molecular testing of effusion samples is feasible even at low fluid volumes, provided tumor cellularity is adequate. Prioritizing tumor fraction over volume ensures a higher likelihood of successful molecular analysis. Effusion-based NGS reliably identifies actionable alterations with diagnostic and prognostic relevance. Male patients, smokers, concurrent or primary presentation with MPE, and those with TP53 mutations had poorer outcomes.
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