Evidence map›Paper›PMID 40593590›Full record

ArticleNature communications2025

Single-cell analysis reveals a longitudinal trajectory of meningioma evolution and heterogeneity.

Ji Yoon Lee, Eun Jung Lee, Bo Yeon Seo, Jiwon Kim, Youjin Song, Dayoung Lee, Namsung Moon, Harim Koo, Chul-Kee Park, Min-Sung Kim and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Ji Yoon LeeDepartment of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0001-3180-7953
Eun Jung LeeDepartment of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea.
Bo Yeon SeoDepartment of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea.
Jiwon KimDepartment of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0009-1225-655X
Youjin SongDepartment of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.
Dayoung LeeDepartment of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.
Namsung MoonDepartment of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.
Harim KooDepartment of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-6444-2436
Chul-Kee ParkDepartment of Neurosurgery, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-2350-9876
Min-Sung KimDepartment of Neurosurgery, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Serk In ParkDepartment of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea.
Do-Hyun NamDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-8477-6791
Doo-Sik KongDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-7519-3594
Jason K SaDepartment of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea. jasonksa@korea.ac.kr.ORCID http://orcid.org/0000-0002-3251-5004

Funding

National Research Foundation of Korea (NRF) RS-2023-00209742
6 · The paper itself

Abstract

Meningioma is the most prevalent primary brain tumor with extensive intra-tumoral heterogeneity and high recurrence rates, particularly in high-grade meningiomas. Despite advancements in understanding the molecular underpinnings of meningiomas, the longitudinal evolutionary trajectory and cellular diversity of recurrent tumors remain elusive. In this study, we perform single-nuclei sequencing of matched primary and recurrent meningiomas to explore the dynamic transcriptional heterogeneity and evolutionary trajectory of meningioma tumor cells, as well as their molecular interactions with tumor-associated immune cells that shape the complex milieu of the meningioma microenvironment. Our findings reveal that both primary and recurrent meningiomas constitute diverse cellular compositions and hierarchies, where recurrent tumor cells are characterized by enrichments of cell cycle activities and proliferative kinetics. Integrative RNA velocity and latent time uncover divergent transcriptional trajectories in recurrent tumors, demonstrating multidirectional transitions with the dominance of COL6A3, which confers higher risk vulnerability and treatment resistance. Tumor microenvironment analysis further reveals enrichments of COL6A3-mediated interactions between immunosuppressive macrophages and tumor cells in recurrent meningiomas. Collectively, these results provide profound insights into the complex evolutionary process of meningiomas and suggest potential therapeutic strategies for the treatment of recurrent tumors.

Indexed as

Meningeal NeoplasmsMeningiomaSingle-Cell AnalysisFemaleGene Expression Regulation, NeoplasticHumansMacrophagesMaleNeoplasm Recurrence, LocalTumor Microenvironment

Identifiers

PMID40593590
PMCPMC12217859

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Registered trials

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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.