Evidence map›Paper›PMID 41141394›Full record

ReviewGenes & diseases2026

The significance of epithelial-mesenchymal transition (EMT) in the initiation, plasticity, and treatment of glioblastoma.

Pu Xia

Abstract readReview
In one paragraph

Review in Genes & diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Therapeutic potential of targeting macrophage polarization in metastatic gastric cancer: a review on core mechanisms and clinical progress.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  5. Article
  6. Review
  7. Review
  8. The Role of CRISPR and Its Therapeutic Applications in Glioblastoma.International journal of molecular sciences · 2026
    Review
  9. Article
  10. Review
  11. IL1B-Expressing Exhausted CD4Cancer genomics & proteomics
    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

1 author.

Pu XiaBiological Anthropology Institute, College of Basic Medical Science, Jinzhou Medical University, Jinzhou, Liaoning 121001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial‒mesenchymal transition (EMT) is a dynamic cellular process in which epithelial cells lose their characteristics and acquire mesenchymal traits, leading to enhanced migratory, invasive, and stem-like properties. EMT is a fundamental mechanism in cancer progression, including in glioblastoma (GBM), an aggressive brain tumor known for its poor prognosis and resistance to treatment. In GBM, EMT has been implicated in tumor initiation, plasticity, metastasis, and treatment resistance, making it a key factor in the pathophysiology of the disease. The process of EMT can promote tumor cell migration and invasion, facilitating the spread of cancer cells within the brain. Additionally, EMT is believed to contribute to the maintenance of cancer stem cells, which are thought to be responsible for tumor recurrence and resistance to conventional therapies. Given these multifaceted roles, understanding the molecular pathways and regulatory networks that drive EMT in GBM is critical for identifying new therapeutic targets. This review summarized the roles of EMT in GBM initiation and progression, its impact on cancer cell behavior, and the challenges of targeting EMT in therapy, highlighting potential strategies to overcome resistance and improve treatment outcomes.

Indexed as

Cancer stem cellEpithelial‒mesenchymal transitionGlioblastomaPlasticityTreatment

Identifiers

PMID41141394
PMCPMC12547761

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.