Evidence map›Paper›PMID 34238116›Full record

ArticleBioengineered2021

Identification of key genes involved in the recurrence of glioblastoma multiforme using weighted gene co-expression network analysis and differential expression analysis.

Peng Ren, JingYa Wang, Lei Li, XiaoWan Lin, GuangHan Wu, JiaYi Chen, ZhiRui Zeng, HongMei Zhang

Open access · goldAbstract read
In one paragraph

Article in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.2field-weighted citation impact, top 11% 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, 21 citations in OpenAlex.

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  9. Immune-Related MoleculesInternational journal of molecular sciences · 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 at 5 institutions in 1 country.

Peng RenDepartment of Anesthesiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China.
JingYa WangDepartment of Physiology of Basic medicine college, Guizhou Medical University, Weifang, Shandong, China.
Lei LiDepartment of Physiology of Basic medicine college, Guizhou Medical University, Weifang, Shandong, China.
XiaoWan LinDepartment of Anesthesiology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
GuangHan WuDepartment of Anesthesiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China.
JiaYi ChenDepartment of Anesthesiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China.
ZhiRui ZengDepartment of Physiology of Basic Medicine College, Guizhou Medical University, Guiyang, Guizhou, China.
HongMei ZhangDepartment of Physiology of Basic medicine college, Guizhou Medical University, Weifang, Shandong, China.
Guiyang Medical University · CNShandong Provincial QianFoShan Hospital · CNWeifang Medical University · CNCapital Medical University · CNShandong First Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma multiforme (GBM) is the most fatal malignancy, and despite extensive treatment, tumors inevitably recur. This study aimed to identify recurrence-associated molecules in GBM. The gene expression profile GSE139533, containing 70 primary and 47 recurrent GBM tissues and their corresponding clinical traits, was downloaded from the Gene Expression Omnibus (GEO) database and used for weighted gene co-expression network analysis (WGCNA) and differentially expressed gene (DEG) analysis. After identifying the hub genes which differentially expressed in recurrent GBM tissues and in the gene modules correlated with recurrence, data from the Chinese Glioma Genome Atlas (CCGA) and The Cancer Genome Atlas (TCGA) databases were analyzed with GSE43378 to determine the relationship between hub genes and patient prognosis. The diagnostic value of the identified hub genes was verified using 52 GBM tissues. Three gene modules were correlated with recurrence and 2623 genes were clustered in these clinically significant modules. Among these, 13 genes -

Indexed as

Brain NeoplasmsGlioblastomaAdultAgedBiomarkers, TumorComputational BiologyDatabases, GeneticGene Expression ProfilingGene Regulatory NetworksHumansMiddle AgedNeoplasm Recurrence, LocalPrognosisTranscriptomeBiomarkers, Tumordeg analysisGlioblastoma multiformerecurrencewgcna

Identifiers

PMID34238116
PMCPMC8806787
OpenAlexW3177761060

What OpenQuestion holds

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LicenceCC BY
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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.