Programmed Death-Ligand 1 Expression across Multiple Assays in Ovarian Cancer: A Comparative Analysis
Year: 2025
Type: article
Study design: Observational Study
Abstract: PURPOSE: Ovarian cancer presents significant treatment challenges due to its aggressive nature and poor response to immune checkpoint inhibitors (ICIs). The lack of standardized programmed cell death-ligand 1 (PD-L1) assays and cut-off values complicates clinical decision-making. We evaluated the concordance among commonly used PD-L1 assays and assessed changes in the expression of PD-L1 following chemotherapy. MATERIALS AND METHODS: Tissue samples from 29 patients with ovarian cancer were analyzed using five validated PD-L1 immunohistochemistry assays: Dako 22C3, Ventana SP263, Ventana SP142, Dako 28-8, and Ventana 22C3. PD-L1 positivity was assessed using a combined positive score (CPS), immune cell, or tumor proportion score at 1%, 5%, and 10% cut-offs. Concordance rates, including overall percent agreement and Cohen's kappa coefficient, were analyzed. In addition, changes in the expression of PD-L1 pre- and postchemotherapy were evaluated. RESULTS: Positivity rates ranged from 15.8% (SP142) to 29.8% (Dako 22C3 and SP263) at the 1% CPS cut-off. SP142 consistently exhibited the lowest concordance, whereas Dako 22C3 displayed high agreement with SP263, 28-8, and Ventana 22C3. Chemotherapy increased PD-L1 positivity, with 28% of patients converting from negative to positive. CONCLUSION: The expression of PD-L1 in ovarian cancer varies across assays and scoring methods, emphasizing the need for standardized testing protocols. Increased PD-L1 expression post-chemotherapy underscores the importance of assessing its status at appropriate times to guide ICI therapy. Larger studies are required to validate these findings and refine clinical applications.
Source: Cancer Research and Treatment
DOI: 10.4143/crt.2025.202
Institutions: Konkuk University, Konkuk University Medical Center
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4411128305
