Digital Quantification of Progesterone Receptor Expression in Meningiomas: Associations with WHO Grade and Clinicopathological Features
Yasemin Akca, Elif Büşra Gökçe

TL;DR
This study uses digital pathology to objectively measure progesterone receptor levels in meningiomas and finds links to tumor grade and growth markers.
Contribution
The study applies an FDA-approved digital scoring algorithm, originally for breast cancer, to meningiomas and validates its utility in this context.
Findings
Digital PR H-scores decrease with higher WHO grades of meningiomas.
PR expression is inversely correlated with Ki-67 index and mitotic count.
Convexity meningiomas show higher PR scores than skull base and spinal tumors.
Abstract
Objective: Progesterone receptor (PR) expression is a well-recognized marker in meningiomas, but manual immunohistochemical assessment is subjective and prone to variability. Digital pathology offers objective and reproducible quantification. Despite the availability of FDA-cleared digital PR scoring algorithms in some tumors like those of the breast, their implementation in meningiomas and systematic evaluation of their correlations with clinicopathological features remain scarce. Material and Methods: We retrospectively analyzed 129 meningioma cases resected between 2018 and 2024. Digital PR expression was quantified using the FDA-cleared Ventana uPath PR 1E2 algorithm, originally developed for breast carcinoma. Subsequently, tumors were stratified by age, sex, WHO grade, histological subtype, and localization, while Ki-67 index and mitotic counts were also recorded. Associations…
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Taxonomy
TopicsMeningioma and schwannoma management · Brain Metastases and Treatment · S100 Proteins and Annexins
