Evidence map›Paper›PMID 42634009›Full record

ArticleNeuropathology : official journal of the Japanese Society of Neuropathology2026

Immune-Enriched Versus Matrix-Remodeling Microenvironments in Psammoma Body-Rich and Psammoma Body-Poor WHO Grade I Meningiomas: An Exploratory Transcriptomic Study.

Tahreem Fatima

Abstract read
In one paragraph

Article in Neuropathology : official journal of the Japanese Society of Neuropathology, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

1 author.

Tahreem FatimaCooperative Trials Group for Neuro-Oncology (COGNO), Sydney, Australia.ORCID https://orcid.org/0000-0001-5282-8545

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psammoma bodies, which are characterized by concentric lamellated calcifications, are among the most recognizable histological features in field of neuropathology. However, reason why they form abundantly in some WHO grade I meningiomas (psammomatous subtype), not in others remains unanswered question that persisted for three decades. The predominant perspective attributes psammoma bodies to passive dystrophic calcification. However, ultrastructural evidence and a seminal hypothesis by Das (2009) suggest that they may instead represent an active biological process linked to tumor cell death and growth limitation. The molecular environment that sustains this process remains to be elucidated. The question of whether psammoma body-rich (PB-rich) and psammoma body-poor (PB-poor) WHO grade I meningiomas inhabit different molecular worlds remains a potential inquiry. Utilizing sole public expression dataset with explicit psammomatous annotation (GSE43290; 8 PB-rich vs. 24 PB-poor WHO grade I tumors), we conducted differential expression analysis via the GEO2R platform and a functional enrichment analysis via g:Profiler. Two remarkably divergent transcriptional programs were identified: PB-rich tumors were found to be predominantly influenced by immune and inflammatory pathways, chemokine signaling, leukocyte activation, NF-κB, and Toll-like receptor cascades. In contrast, PB-poor tumors were found to be characterized by extracellular matrix remodeling, elastic fiber assembly, and collagen organization. These findings are consistent with recent literature on inflammation-driven ectopic mineralization, immune-enriched meningioma subtypes, and DAMP-TLR-NF-κB positive-feedback loops. In complementary enrichment analyses, the PB-rich core genes were found to be associated with NK-cell and cytotoxic T-cell signatures, while PB-poor core genes exhibited a preferential enrichment in extracellular matrix, elastic fiber, and fibroblast-like stromal pathways. These findings suggest psammoma body formation may be morphological footprint of chronically inflamed tumor microenvironment. This exploratory study proposes mechanistic framework linking immune activation to calcification in meningiomas and identifies candidate pathways and genes for future immunohistochemical and functional validation.

Indexed as

CalcinosisMeningeal NeoplasmsMeningiomaTumor MicroenvironmentExtracellular MatrixFemaleGene Expression ProfilingHumansNeoplasm GradingTranscriptomeelastic fibersextracellular matriximmune microenvironmentmeningiomapsammoma bodiestranscriptomics

Identifiers

PMID42634009
PMCPMC13500358

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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.