Evidence map›Paper›PMID 34876094›Full record

ArticleBMC cancer2021

A novel pyroptosis-related gene signature predicts the prognosis of glioma through immune infiltration.

Moxuan Zhang, Yanhao Cheng, Zhengchun Xue, Qiang Sun, Jian Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 38 citations in OpenAlex.

  1. How to recognize if a cell dies from pyroptosis?Molecular biology reports · 2026
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  10. Dysregulation of inflammasome activation in glioma.Cell communication and signaling : CCS · 2023
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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

5 authors at 2 institutions in 1 country.

Moxuan ZhangDepartment of Neurosurgery, Linyi People's Hospital, 27 Jiefang Road, Linyi, 276000, China.
Yanhao ChengDepartment of Neurosurgery, Linyi People's Hospital, 27 Jiefang Road, Linyi, 276000, China.
Zhengchun XueWeifang Medical University, 7166 Baotong Road, Weifang, 261053, China.
Qiang SunWeifang Medical University, 7166 Baotong Road, Weifang, 261053, China.
Jian ZhangDepartment of Neurosurgery, Linyi People's Hospital, 27 Jiefang Road, Linyi, 276000, China. honest20699@126.com.
Linyi People's Hospital · CNWeifang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlioma is the most common primary intracranial tumour and has a very poor prognosis. Pyroptosis, also known as inflammatory necrosis, is a type of programmed cell death that was discovered in recent years. The expression and role of pyroptosis-related genes in gliomas are still unclear.

methodsIn this study, we analysed the RNA-seq and clinical information of glioma patients from The Cancer Genome Atlas (TCGA) database and Chinese Glioma Genome Atlas (CGGA) database. To investigate the prognosis and immune microenvironment of pyroptosis-related genes in gliomas, we constructed a risk model based on the TCGA cohort. The patients in the CGGA cohort were used as the validation cohort.

resultsIn this study, we identified 34 pyroptosis-related differentially expressed genes (DEGs) in glioma. By clustering these DEGs, all glioma cases can be divided into two clusters. Survival analysis showed that the overall survival time of Cluster 1 was significantly higher than that of Cluster 2. Using the TCGA cohort as the training set, a 10-gene risk model was constructed through univariate Cox regression analysis and LASSO Cox regression analysis. According to the risk score, gliomas were divided into high-risk and low-risk groups. Survival analysis showed that the low-risk group had a longer survival time than the high-risk group. The above results were verified in the CGGA validation cohort. To verify that the risk model was independent of other clinical features, the distribution and the Kaplan-Meier survival curves associated with risk scores were performed. Combined with the characteristics of the clinical cases, the risk score was found to be an independent factor predicting the overall survival of patients with glioma. The analysis of single sample Gene Set Enrichment Analysis (ssGSEA) showed that compared with the low-risk group, the high-risk group had immune cell and immune pathway activities that were significantly upregulated.

conclusionWe established 10 pyroptosis-related gene markers that can be used as independent clinical predictors and provide a potential mechanism for the treatment of glioma.

Indexed as

Biomarkers, TumorBrain NeoplasmsDatabases, GeneticGliomaHumansPrognosisProportional Hazards ModelsPyroptosisRegression AnalysisRisk FactorsRNA-SeqSurvival AnalysisTumor MicroenvironmentBiomarkers, TumorGliomaImmunePrognosticPyroptosisTumor microenvironment

Identifiers

PMID34876094
PMCPMC8653573
OpenAlexW4200091413

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LicenceCC BY
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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.