Evidence map›Paper›PMID 33960680›Full record

ArticleCNS neuroscience & therapeutics2021

Impact of beta-2 microglobulin expression on the survival of glioma patients via modulating the tumor immune microenvironment.

Feng Tang, Yu-Hang Zhao, Qing Zhang, Wei Wei, Su-Fang Tian, Chen Li, Jie Yao, Ze-Fen Wang, Zhi-Qiang Li

Open access · goldAbstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
2.6field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 25 citations in OpenAlex.

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  13. CD8Nature cancer · 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

9 authors at 1 institution in 1 country.

Feng TangBrain Glioma Center & Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.ORCID 0000-0003-3185-5717
Yu-Hang ZhaoBrain Glioma Center & Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Qing ZhangBrain Glioma Center & Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Wei WeiBrain Glioma Center & Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Su-Fang TianDepartment of Pathology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Chen LiBrain Glioma Center & Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Jie YaoDepartment of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Ze-Fen WangDepartment of Physiology, Wuhan University School of Basic Medical Sciences, Wuhan, Hubei, China.
Zhi-Qiang LiBrain Glioma Center & Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Wuhan University · CN

Funding

Medical Science Advancement Program of Wuhan University TFJC2018003National Health Commission of China 2018ZX-07S-011Translational Medicine Research Fund of Zhongnan Hospital of Wuhan University ZLYNXM202011Translational Medicine Research Fund of Zhongnan Hospital of Wuhan University ZNLH201901
6 · The paper itself

Abstract

aimsHigh immune cell infiltration in gliomas establishes an immunosuppressive tumor microenvironment, which in turn promotes resistance to immunotherapy. Hence, it is important to identify novel targets associated with high immune cell infiltration in gliomas. Our previous study showed that serum levels of beta-2 microglobulin (B2M) in lower-grade glioma patients were lower than those in glioblastoma patients. In the present study, we focused on exploring the roles of B2M in glioma immune infiltration.

methodsA large cohort of patients with gliomas from the TCGA, CGGA, and Gravendeel databases was included to explore differential expression patterns and potential roles of B2M in gliomas. A total of 103 glioma tissue samples were collected to determine the distributions of B2M protein levels by immunofluorescent assays. Kaplan-Meier survival analysis and meta-analysis were used for survival analysis. GO(Gene-ontology) enrichment analysis, co-expression analysis, KEGG(Kyoto Encyclopedia of Genes and Genomes) pathway analysis, and immune infiltration analysis were performed to explore roles and related mechanisms of B2M in glioma.

resultsWe found that both B2M mRNA and protein levels were abnormally upregulated in glioma samples compared with those from normal brain tissue. B2M expression was correlated with tumor grade and was downregulated in IDH1 mutant samples. Furthermore, B2M was a moderately sensitive indicator for predicting the mesenchymal molecular subtype of gliomas. Interestingly, glioma patients with lower B2M expression had remarkably longer survival times than those with higher B2M expression. Moreover, meta-analysis showed that B2M was an independent predictive marker in glioma patients. The results of GO enrichment analysis revealed that B2M contributed to immune cell infiltration in glioma patients. In addition, results of KEGG pathway analysis and co-expression analysis suggested that B2M may mediate glioma immune infiltration via chemokines.

conclusionsWe conclude that B2M levels are critical for the survival times of glioma patients, at least in part due to mediating high immune infiltration.

Indexed as

beta 2-MicroglobulinBiomarkers, TumorBrain NeoplasmsCohort StudiesDatabases, GeneticGene Expression Regulation, NeoplasticGliomaHumansSurvival RateTumor MicroenvironmentB2M protein, humanbeta 2-MicroglobulinBiomarkers, TumorB2Mgliomasimmunologic microenvironmentsurvival

Identifiers

PMID33960680
PMCPMC8265948
OpenAlexW3157780707

What OpenQuestion holds

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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.