Evidence map›Paper›PMID 42181255›Full record

ArticleiScience2026

Role of NR2F2-mediated reprogramming of endothelial cells in glioblastoma progression.

Jing He, Xun Wang, Sumei Zhang, Dan Guo, Jian Sun

Abstract read
In one paragraph

Article in iScience, 2026. 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.

Jing HeDepartment of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xun WangDepartment of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Sumei ZhangClinical Biobank, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Dan GuoClinical Biobank, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Jian SunDepartment of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM), a malignant brain tumor, is characterized by a high recurrence rate and poor overall survival. Therefore, understanding the causes of recurrence and identifying strategies for its prevention are crucial. To identify the characteristics of recurrent tumor samples and the molecular mechanisms of tumor progression, we conducted a longitudinal analysis of GBM using single-cell transcriptomics and clinical data from the Chinese Glioma Genome Atlas (CGGA). Compared to the primary tumor, recurrent GBM samples showed a more immunosuppressive environment. We identified an endothelial cell subpopulation, Edo4, that is characterized by high endothelial-to-mesenchymal transition (EMT) and is correlated with poor prognosis in recurrent tumors. It was regulated by the NR2F2 transcription factor specifically in the recurrent GBM samples. Cell-cell interaction analysis revealed that pericytes affect endothelial cell migration through the JAM2-(ITGA3+ITGB1) ligand-receptor axis, promoting GBM progression. Targeting the Edo4 cell cluster and the JAM2-(ITGA3+ITGB1) ligand-receptor pair may be a promising strategy to prevent GBM recurrence.

Indexed as

cancer systems biologymolecular biologytranscriptomics

Identifiers

PMID42181255
PMCPMC13195781

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.