Evidence map›Paper›PMID 33875619›Full record

ArticleAging2021

Identification of a mesenchymal-related signature associated with clinical prognosis in glioma.

Zhengwei Zhang, Jie Chen, Xiuhao Huo, Gang Zong, Kebing Huang, Meng Cheng, Libo Sun, Xiaoyu Yue, Erbao Bian, Bing Zhao

Open access · greenAbstract read
In one paragraph

Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

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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 2 institutions in 1 country.

Zhengwei ZhangDepartment of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Jie ChenDepartment of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Xiuhao HuoDepartment of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Gang ZongDepartment of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Kebing HuangDepartment of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Meng ChengDepartment of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Libo SunDepartment of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Xiaoyu YueDepartment of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Erbao BianDepartment of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Bing ZhaoDepartment of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Anhui Medical University · CNSecond Hospital of Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignant glioma with a mesenchymal (MES) signature is characterized by shorter survival time due to aggressive dissemination and resistance to chemoradiotherapy. Here, this study used the TCGA database as the training set and the CGGA database as the testing set. Consensus clustering was performed on the two data sets, and it was found that two groups had distinguished prognostic and molecular features. Cox analysis and Lasso regression analysis were used to construct MES signature-based risk score model of glioma. Our results show that MES signature-based risk score model can be used to assess the prognosis of glioma. Three methods (ROC curve analyses, univariate Cox regression analysis, multivariate Cox regression analysis) were used to investigate the prognostic role of texture parameters. The result showed that the MES-related gene signature was proved to be an independent prognostic factor for glioma. Furthermore, functional analysis of the gene related to the risk signature showed that the genes sets were closely related to the malignant process of tumors. Finally, FCGR2A and EHD2 were selected for functional verification. Silencing these two genes inhibited the proliferation, migration and invasion of gliomas and reduced the expression of mesenchymal marker genes. Collectively, MES-related risk signature seems to provide a novel target for predicting the prognosis and treatment of glioma.

Indexed as

AdultAgedAged, 80 and overBrain NeoplasmsCluster AnalysisFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGliomaHumansMaleMiddle AgedMultivariate AnalysisPrognosisRegression AnalysisRisk Factorsgene signaturegliomamesenchymalprognosisproliferation

Identifiers

PMID33875619
PMCPMC8148476
OpenAlexW3155161680

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.