Evidence map›Paper›PMID 40539386›Full record

ArticleCancer science2025

Epithelial-Mesenchymal Transition and Genetically Driven Early Tumor Seedings in Extraneural Metastasis of Glioblastoma.

Seisaku Kanayama, Kentaro Watanabe, Minoru Tanaka, Junko Takita, Tomoki Todo

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Seisaku KanayamaDivision of Innovative Cancer Therapy and Department of Surgical Neuro-Oncology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Kentaro WatanabeDepartment of Pediatrics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Minoru TanakaDivision of Innovative Cancer Therapy and Department of Surgical Neuro-Oncology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Junko TakitaDepartment of Pediatrics, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Tomoki TodoDivision of Innovative Cancer Therapy and Department of Surgical Neuro-Oncology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0003-0523-8010

Funding

Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (A) JP22H00483Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (A) JP26253073
6 · The paper itself

Abstract

Genetic and cell biological analyses of this rare glioblastoma (GBM) case with rapidly progressive pleural metastasis revealed essential roles of epithelial-mesenchymal transition (EMT) and glioma stem-like cells (GSCs) in extraneural metastasis. Contrary to the common prediction, the metastatic lesion shared 73% of mutations and two fusion genes with the primary but not the recurrent tumor, indicating that extraneural metastasis occurs early in GBM progression. Functional assays using primary tumor-derived GSCs confirmed EMT-enhanced migratory behaviors. EMT and genetically driven early tumor seedings are crucial for extraneural GBM metastasis, emphasizing the need for further investigation into EMT pathways and GSC biology.

Indexed as

Brain NeoplasmsEpithelial-Mesenchymal TransitionGlioblastomaNeoplasm SeedingAgedCell MovementHumansMaleMutationNeoplasm MetastasisNeoplastic Stem Cellscancer stem cellepithelial‐mesenchymal transitionextraneural metastasisglioblastomaglioma stem‐like cell

Identifiers

PMID40539386
PMCPMC12400062

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.