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Updated: May 26, 2025

Using 22C3 Anti-PD-L1 Antibody Concentrate on Biopsy and Cytology Samples from Non-small Cell Lung Cancer Patients
Published on: September 25, 2018
InterobServer AgreeMent in Pd-l1 evaLuatIoN on cytoloGical samples-SAMPLING project: A multi-institutional,
Gennaro Acanfora1, Antonino Iaccarino1, Bruna Cerbelli2
1Department of Public Health, University of Naples, "Federico II", Naples, Italy.
Interobserver agreement for programmed death-ligand 1 (PD-L1) scoring in non-small cell lung cancer (NSCLC) cytological specimens was moderate. Standardization and training are needed to improve PD-L1 evaluation consistency.
Area of Science:
- Oncology
- Pathology
- Biomarker Analysis
Background:
- Accurate programmed death-ligand 1 (PD-L1) scoring is crucial for non-small cell lung cancer (NSCLC) treatment decisions.
- Cytological specimens offer an alternative to tissue biopsies for PD-L1 assessment.
Purpose of the Study:
- To evaluate interobserver agreement for PD-L1 scoring on NSCLC cytological specimens using a multicenter approach.
- To assess the reliability of PD-L1 evaluation on cell block-derived tissue microarrays (cbTMA).
Main Methods:
- Retrospective collection of 65 NSCLC cell blocks (CBs).
- Preparation of four tissue microarrays (TMAs) from 54 suitable CBs.
- Digitization of H&E and PD-L1 stained slides for review by 31 cytopathologists using tumor proportion score (TPS) cutoffs (<1%, 1%-49%, >50%).
Main Results:
- A total of 1674 evaluations were collected from 31 cytopathologists across 21 institutions.
- Moderate overall interobserver agreement was observed (κ = 0.49).
- Agreement varied by TPS category, with the highest for >50% (κ = 0.57) and lowest for 1%-49% (κ = 0.32).
Conclusions:
- Moderate agreement indicates a need for improved standardization in PD-L1 scoring on NSCLC cytological samples.
- Recommendations include standardized sample preparation, targeted training for cytopathologists, and exploring machine learning tools.
- Enhancing interobserver consistency is vital for reliable PD-L1 biomarker assessment in NSCLC.
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