Evidence map›Paper›PMID 32869484›Full record

ArticleJournal of cellular and molecular medicine2020

Identification of purity and prognosis-related gene signature by network analysis and survival analysis in brain lower grade glioma.

Zujian Xiong, Yi Xiong, Hongwei Liu, Chang Li, Xuejun Li

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 24 citations in OpenAlex.

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  16. Frontiers in oncology · 2021
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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 1 institution in 1 country.

Zujian XiongDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, P. R. China.ORCID 0000-0003-2943-1931
Yi XiongDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, P. R. China.
Hongwei LiuDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, P. R. China.
Chang LiDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, P. R. China.
Xuejun LiDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, P. R. China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumour microenvironment of brain lower grade glioma (LGG) consists of non-tumour cells including stromal cells and immune cells mainly. These non-tumour cells dilute the purity of LGG and play pivotal roles in tumour growth and development, thereby affecting patient prognosis. Tumour purity is also associated with molecular subtypes of LGG. In this study, we discovered the most relevant module to purity by weighted gene co-expression network analysis (WGCNA) and afterwards performed consensus network analysis and survival analysis to filter 61 significant genes related to both purity and prognosis. In turn, we built a simplified model based on the calculation of purity score, and consensus measurement of purity estimation (CPE), with a satisfactory predictive performance by random forest regression. HLA-E, MSN, GNG-5, MYL12A, ITGB4, PDPN, AGTRAP, S100A4, PLSCR1, VAMP5 were selected as the most relevant genes correlating to both purity and prognosis. The risk score model based on the 10 genes could moderately predict patients' overall survival. These 10 genes, respectively, were positively correlated positively to immunosuppressive cells like macrophage M2, but negatively correlated to patient prognosis, which may explain partially the poor prognosis with low-purity group.

Indexed as

Gene Expression ProfilingGene Regulatory NetworksBrainBrain NeoplasmsGene Expression Regulation, NeoplasticGene OntologyGliomaHumansNeoplasm GradingPrognosisSurvival Analysis

Identifiers

PMID32869484
PMCPMC7576230
OpenAlexW3081798996

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.