Evidence map›Paper›PMID 36248799›Full record

ArticleFrontiers in immunology2022

Identification and validation of a 17-gene signature to improve the survival prediction of gliomas.

Shiao Tong, Minqi Xia, Yang Xu, Qian Sun, Liguo Ye, Jiayang Cai, Zhang Ye, Daofeng Tian

Abstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Single-cell hdWGCNA reveals a novel diagnostic model and signature genes of macrophages associated with chronic obstructive pulmonary disease.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025
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  7. Translational cancer research · 2024
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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

8 authors.

Shiao TongDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Minqi XiaDepartment of Endocrinology & Metabolism, Renmin Hospital of Wuhan University, Wuhan, China.
Yang XuDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Qian SunDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Liguo YeDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Jiayang CaiDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Zhang YeDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Daofeng TianDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gliomas are one of the most frequent types of nervous system tumours and have significant morbidity and mortality rates. As a result, it is critical to fully comprehend the molecular mechanism of glioma to predict prognosis and target gene therapy. The goal of this research was to discover the hub genes of glioma and investigate their prognostic and diagnostic usefulness. In this study, we collected mRNA expression profiles and clinical information from glioma patients in the TCGA, GTEx, GSE68848, and GSE4920 databases. WGCNA and differential expression analysis identified 170 DEGs in the collected datasets. GO and KEGG pathway analyses revealed that DEGs were mainly enriched in gliogenesis and extracellular matrix. LASSO was performed to construct prognostic signatures in the TCGA cohort, and 17 genes were used to build risk models and were validated in the CGGA database. The ROC curve confirmed the accuracy of the prognostic signature. Univariate and multivariate Cox regression analyses showed that all independent risk factors for glioma except gender. Next, we performed ssGSEA to demonstrate a high correlation between risk score and immunity. Subsequently, 7 hub genes were identified by the PPI network and found to have great drug targeting potential. Finally, RPL39, as one of the hub genes, was found to be closely related to the prognosis of glioma patients. Knockdown of RPL39

Indexed as

GliomaCohort StudiesHumansPrognosisRNA, MessengerRNA, Messengergene signaturegliomaimmunityprognosisrick score

Identifiers

PMID36248799
PMCPMC9556650

What Socratic holds

Textmetadata
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.