Evidence map›Paper›PMID 42522047›Full record

ArticleActa neuropathologica communications2026

Time-dependent prognostic value of automated Ki67 assessment and its integration with molecular risk profiling in WHO grade 2 meningioma.

Luisa Voßbeck, Felix Ehret, Eilis Perez, Helena Radbruch, Elisabeth G Hain, Simone Schmid, Julia Onken, Merten Bohn, Nabiha Salman, Leonille Schweizer and 3 more

Abstract read
In one paragraph

Article in Acta neuropathologica communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Luisa VoßbeckDepartment of Radiation Oncology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
Felix EhretDepartment of Radiation Oncology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.ORCID 0000-0001-6177-1755
Eilis PerezDepartment of Neuropathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
Helena RadbruchDepartment of Neuropathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
Elisabeth G HainDepartment of Neuropathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
Simone SchmidDepartment of Neuropathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
Julia OnkenDepartment of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
Merten BohnInstitute of Neurology (Edinger Institute), Goethe University Frankfurt, University Hospital, Frankfurt am Main, Germany.
Nabiha SalmanDepartment of Radiation Oncology, Health and Medical University Potsdam, Olympischer Weg 1, 14471, Potsdam, Germany.
Leonille SchweizerInstitute of Neurology (Edinger Institute), Goethe University Frankfurt, University Hospital, Frankfurt am Main, Germany.
David CapperGerman Cancer Consortium (DKTK), Partner Site Berlin, A Partnership Between DKFZ and Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0003-1945-497X
Moritz Armbrust *Institute of Neurology (Edinger Institute), Goethe University Frankfurt, University Hospital, Frankfurt am Main, Germany.ORCID 0000-0001-7208-8548
David Kaul *Department of Radiation Oncology, Health and Medical University Potsdam, Olympischer Weg 1, 14471, Potsdam, Germany. david.kaul@hmu-potsdam.de.ORCID 0000-0002-7906-5629

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

WHO grade 2 meningiomas exhibit highly heterogeneous clinical courses. While the Ki67 proliferation index is a standard biomarker, its prognostic utility remains limited by methodological inconsistency and potential time-dependent dynamics. We evaluated an automated, artifact-adjusted Ki67 assessment and its integration with molecular risk profiling. 98 WHO grade 2 meningiomas (WHO 2021) were analyzed using an automated QuPath-based pipeline with HistoART for artifact exclusion. Molecular risk was defined by methylation and copy number profiling to calculate the integrated molecular-morphologic risk score by Maas et al. We employed extended Cox models to account for proportional hazards violations. Automated Ki67 values were significantly lower than routine pathological estimates (median 2.91% vs. 10%; p < 0.001) and correlated modestly with integrated risk scores (ρ = 0.26, p = 0.009). We identified a biphasic risk pattern: within the first 38 postoperative months, an automated Ki67 > 3.62% was a strong independent predictor for local recurrence (HR 5.06, p < 0.001) and progression-free survival (HR 4.15, p = 0.002), remaining significant alongside subtotal resection and the integrated risk group. Beyond 38 months, prognostic impact attenuated. Ki67 and the integrated molecular risk score contributed independently in multivariable models, suggesting complementary biological dimensions. Automated, artifact-adjusted Ki67 quantification provides time-dependent, independent prognostic information in WHO grade 2 meningioma, complementary to molecular risk stratification. It may serve as a cost-effective surveillance marker-both as an adjunct to molecular profiling and as a standalone tool where molecular testing is unavailable.

Indexed as

Ki-67 AntigenMeningeal NeoplasmsMeningiomaAdultAgedAged, 80 and overBiomarkers, TumorFemaleHumansMaleMiddle AgedNeoplasm GradingNeoplasm Recurrence, LocalPrognosisWorld Health OrganizationBiomarkers, TumorKi-67 AntigenMKI67 protein, humanDeep learningDigital pathologyDNA methylationFoundation model approachIntegrated risk scoreKi67MeningiomaQuPathWHO grade 2

Identifiers

PMID42522047
PMCPMC13411134

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.