Evidence map›Paper›PMID 38229014›Full record

ArticleBMC cancer2024

EMP3 as a prognostic biomarker correlates with EMT in GBM.

Li Li, Siyu Xia, Zitong Zhao, Lili Deng, Hanbing Wang, Dongbo Yang, Yizhou Hu, Jingjing Ji, Dayong Huang, Tao Xin

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2024. 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
4.6field-weighted citation impact, top 5% of its field
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, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
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  9. Article
  10. Review
  11. EMP3: A promising biomarker for tumor prognosis and targeted cancer therapy.Cancer biomarkers : section A of Disease markers · 2024
    Review
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

10 authors at 4 institutions in 2 countries.

Li Li *Department of Oncology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, China.
Siyu Xia *Department of Oncology, The Beidahuang Group General Hospital, Harbin, 150006, China.
Zitong ZhaoDepartment of Anesthesiology and Pain Rehabilitation, School of Medicine, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University, Shanghai, 201619, China.
Lili DengDepartment of Oncology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, China.
Hanbing WangDepartment of Neurosurgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, China.
Dongbo YangDepartment of Neurosurgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, China.
Yizhou HuDivision of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Jingjing JiDepartment of Pathology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, China.
Dayong Huang *Department of Oncology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, China. yong_da@163.com.
Tao Xin *Department of Oncology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, China. xintao1234@263.net.
Second Affiliated Hospital of Harbin Medical University · CNHarbin Medical University · CNKarolinska Institutet · SEShanghai Sunshine Rehabilitation Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlioblastoma (GBM) is the most aggressive malignant central nervous system tumor with a poor prognosis.The malignant transformation of glioma cells via epithelial-mesenchymal transition (EMT) has been observed as a main obstacle for glioblastoma treatment. Epithelial membrane protein 3 (EMP3) is significantly associated with the malignancy of GBM and the prognosis of patients. Therefore, exploring the possible mechanisms by which EMP3 promotes the growth of GBM has important implications for the treatment of GBM.

methodsWe performed enrichment and correlation analysis in 5 single-cell RNA sequencing datasets. Differential expression of EMP3 in gliomas, Kaplan-Meier survival curves, diagnostic accuracy and prognostic prediction were analyzed by bioinformatics in the China Glioma Genome Atlas (CGGA) database and The Cancer Genome Atlas (TCGA) database. EMP3-silenced U87 and U251 cell lines were obtained by transient transfection with siRNA. The effect of EMP3 on glioblastoma proliferation was examined using the CCK-8 assay. Transwell migration assay and wound healing assay were used to assess the effect of EMP3 on glioblastoma migration. Finally, quantitative real-time polymerase chain reaction (qRT-PCR) and western blot were used to detect the mRNA and protein expression levels of EMT-related transcription factors and mesenchymal markers.

resultsEMP3 is a EMT associated gene in multiple types of malignant cancer and in high-grade glioblastoma. EMP3 is enriched in high-grade gliomas and isocitrate dehydrogenase (IDH) wild-type gliomas.EMP3 can be used as a specific biomarker for diagnosing glioma patients. It is also an independent prognostic factor for glioma patients' overall survival (OS). In addition, silencing EMP3 reduces the proliferation and migration of glioblastoma cells. Mechanistically, EMP3 enhances the malignant potential of tumor cells by promoting EMT.

conclusionEMP3 promotes the proliferation and migration of GBM cells, and the mechanism may be related to EMP3 promoting the EMT process in GBM; EMP3 may be an independent prognostic factor in GBM.

Indexed as

Brain NeoplasmsGlioblastomaGliomaEpithelial-Mesenchymal TransitionHumansMembrane GlycoproteinsPrognosisEMP3 protein, humanMembrane GlycoproteinsEpithelial membrane protein 3Epithelial-mesenchymal transitionGlioblastomaPrognostic biomarker

Identifiers

PMID38229014
PMCPMC10792875
OpenAlexW4390928703

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.