Evidence map›Paper›PMID 37556355›Full record

ArticleAging2023

MYEF2: an immune infiltration-related prognostic factor in IDH-wild-type glioblastoma.

Yunxiao Zhang, Yunyu Wen, Jing Nie, Tong Wang, Gang Wang, Qiaoping Gao, Yongfu Cao, Hai Wang, Songtao Qi, Sidi Xie

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Aging, 2023. 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. 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.

Yunxiao ZhangDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, PR China.
Yunyu WenDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, PR China.
Jing NieDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, PR China.
Tong WangDepartment of Neurosurgery, The Third Hospital of Mianyang (Sichuan Mental Health Center), Mianyang 621000, Sichuan, PR China.
Gang WangDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, PR China.
Qiaoping GaoDepartment of Medical Quality Management, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, PR China.
Yongfu CaoNeurosurgery, Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou 510700, Guangdong, PR China.
Hai WangDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, PR China.
Songtao QiDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, PR China.
Sidi XieDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is the most malignant and prevalent primary brain tumor. In this study, weighted gene coexpression network analysis (WGCNA) was performed to analyze RNA binding protein (RBP) expression data from The Cancer Genome Atlas (TCGA) for the IDH-wild type GBM cohort. The CIBERSORT algorithm quantified the cellular composition of immune cells and was used to identify key modules associated with CD8+ T cell infiltration. Coexpression networks analysis and protein-protein interaction (PPI) network analysis was used to filter out central RBP genes. Eleven RBP genes, including MYEF2, MAPT, NOVA1, MAP2, TUBB2B, CDH10, TTYH1, PTPRZ1, SOX2, NOVA2 and SCG3, were identified as candidate CD8+ T cell infiltration-associated central genes. A Cox proportional hazards regression model and Kaplan-Meier analysis were applied to identify candidate biomarkers. MYEF2 was selected as a prognostic biomarker based on the results of prognostic analysis. Flow Cytometric Analysis indicated that MYEF2 expression was negatively correlated with dysfunctional CD8+ T cell markers. Kaplan-Meier survival analysis (based on IHC staining) revealed that GBM patients with elevated MYEF2 expression have a better prognosis. Knockdown of MYEF2 in GBM cells via

Indexed as

GlioblastomaAlgorithmsCD3 ComplexCD8-Positive T-LymphocytesGene Expression Regulation, NeoplasticHumansImmunologic FactorsNeuro-Oncological Ventral AntigenPrognosisReceptor-Like Protein Tyrosine Phosphatases, Class 5CD3 ComplexImmunologic FactorsNeuro-Oncological Ventral AntigenNOVA2 protein, humanPTPRZ1 protein, humanReceptor-Like Protein Tyrosine Phosphatases, Class 5glioblastomaimmune infiltrationMYEF2RNA binding proteins (RBPs)weighted gene co-expression network analysis (WGCNA)

Identifiers

PMID37556355
PMCPMC10457068

What OpenQuestion 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 OpenQuestion graph.