Evidence map›Paper›PMID 34568031›Full record

ArticleFrontiers in oncology2021

Construction of Novel Methylation-Driven Gene Model and Investigation of PARVB Function in Glioblastoma.

Wanli Yu, Pengfei Wu, Fang Wang, Li Miao, Bo Han, Zhiqun Jiang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

6 authors at 5 institutions in 1 country.

Wanli YuDepartment of Neurosurgery, Gaoxin Hospital of the First Affiliated Hospital of Nanchang University, Nanchang, China.
Pengfei WuDepartment of Neurosurgery, The First Affiliated Hospital of University of Science and Technology of China (USTC), Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), Hefei, China.
Fang WangDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Li MiaoCentral Laboratory, Gaoxin Hospital of the First Affiliated Hospital of Nanchang University, Nanchang, China.
Bo HanDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zhiqun JiangDepartment of Neurosurgery, Gaoxin Hospital of the First Affiliated Hospital of Nanchang University, Nanchang, China.
First Affiliated Hospital of Nanchang University · CNCapital Medical University · CNNanchang University · CNSecond Affiliated Hospital of Harbin Medical University · CNUniversity of Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlioblastoma multiforme (GBM) is characterized by widespread genetic and transcriptional heterogeneity. Aberrant DNA methylation plays a vital role in GBM progression by regulating gene expression. However, little is known about the role of methylation and its association with prognosis in GBM. Our aim was to explore DNA methylation-driven genes (DMDGs) and provide evidence for survival prediction and individualized treatment of GBM patients.

methodsUse of the MethylMix R package identified DMDGs in GBM. The prognostic signature of DMDGs based on the risk score was constructed by multivariate Cox regression analysis. Receiver operating characteristics (ROC) curve and C-index were applied to assess the predictive performance of the DMDG prognostic signature. The predictive ability of the multigene signature model was validated in TCGA and CGGA cohorts. Finally, the role of DMDG β-Parvin (PARVB) was explored

resultsThe prognostic signature of DMDGs was constructed based on six genes (

conclusionThis study demonstrated the potential value of the prognostic signature of DMDGs and provided important bioinformatic and potential therapeutic target data to facilitate individualized treatment for GBM, and to elucidate the specific mechanism by which PARVB promotes GBM progression.

Indexed as

biomarkerEMTglioblastomamethylation-driven genesPARVBprognostic indicators

Identifiers

PMID34568031
PMCPMC8461318
OpenAlexW3199626923

What OpenQuestion holds

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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.