Evidence map›Paper›PMID 32874133›Full record

ArticleCancer cell international2020

Identification of potential biomarkers and candidate small molecule drugs in glioblastoma.

Wei-Cheng Lu, Hui Xie, Ce Yuan, Jin-Jiang Li, Zhao-Yang Li, An-Hua Wu

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.8field-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

15 citing papers in PubMed, 22 citations in OpenAlex.

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  10. High expression of CETN2 is associated with platinum resistance and poor prognosis in epithelial ovarian cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Article
  11. Article
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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 2 countries.

Wei-Cheng LuDepartment of Neurosurgery, First Affiliated Hospital of China Medical University, Shenyang, Liaoning China.
Hui XieDepartment of Histology and Embryology, College of Basic Medicine, Shenyang Medical College, Shenyang, Liaoning China.
Ce YuanGraduate Program in Bioinformatics and Computational Biology, University of Minnesota, Minneapolis, USA.
Jin-Jiang LiDepartment of Neurosurgery, General Hospital of Northern Theater Command, Shenyang, Liaoning China.
Zhao-Yang LiDepartment of Laboratory Animal Center, China Medical University, Shenyang, Liaoning China.
An-Hua WuDepartment of Neurosurgery, First Affiliated Hospital of China Medical University, Shenyang, Liaoning China.ORCID 0000-0002-3402-1884
First Hospital of China Medical University · CNChina Medical University · CNGeneral Hospital of Shenyang Military Region · CNShenyang Medical College · CNUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsGlioblastoma (GBM) is a common and aggressive primary brain tumor, and the prognosis for GBM patients remains poor. This study aimed to identify the key genes associated with the development of GBM and provide new diagnostic and therapies for GBM.

methodsThree microarray datasets (GSE111260, GSE103227, and GSE104267) were selected from Gene Expression Omnibus (GEO) database for integrated analysis. The differential expressed genes (DEGs) between GBM and normal tissues were identified. Then, prognosis-related DEGs were screened by survival analysis, followed by functional enrichment analysis. The protein-protein interaction (PPI) network was constructed to explore the hub genes associated with GBM. The mRNA and protein expression levels of hub genes were respectively validated in silico using The Cancer Genome Atlas (TCGA) and Human Protein Atlas (HPA) databases. Subsequently, the small molecule drugs of GBM were predicted by using Connectivity Map (CMAP) database.

resultsA total of 78 prognosis-related DEGs were identified, of which10 hub genes with higher degree were obtained by PPI analysis. The mRNA expression and protein expression levels of

conclusionsOur study provided 10 key genes for diagnosis, prognosis, and therapy for GBM. These findings might contribute to a better comprehension of molecular mechanisms of GBM development, and provide new perspective for further GBM research. However, specific regulatory mechanism of these genes needed further elaboration.

Indexed as

Differentially expressed genesGlioblastomaHub genesPrognosisSmall molecular drugs

Identifiers

PMID32874133
PMCPMC7455906
OpenAlexW3082290196

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.