Evidence map›Paper›PMID 34880375›Full record

ArticleScientific reports2021

Identification of an epithelial-mesenchymal transition-related lncRNA prognostic signature for patients with glioblastoma.

XinJie Yang, Sha Niu, JiaQiang Liu, Jincheng Fang, ZeYu Wu, Shizhang Ling, GuangFu Di, XiaoChun Jiang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. 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
2.3field-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

15 citing papers in PubMed, 22 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

8 authors at 2 institutions in 1 country.

XinJie Yang *Department of Neurosurgery, The Translational Research Institute for Neurological Disorders, the First Affiliated Hospital (Yijishan Hospital), Wannan Medical College, Wuhu, Anhui, China.
Sha Niu *Department of Neurosurgery, The Translational Research Institute for Neurological Disorders, the First Affiliated Hospital (Yijishan Hospital), Wannan Medical College, Wuhu, Anhui, China.
JiaQiang LiuDepartment of Neurosurgery, The Translational Research Institute for Neurological Disorders, the First Affiliated Hospital (Yijishan Hospital), Wannan Medical College, Wuhu, Anhui, China.
Jincheng FangDepartment of Neurosurgery, the First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wannan Medical College, Wuhu, Anhui, China.
ZeYu WuDepartment of Neurosurgery, The Translational Research Institute for Neurological Disorders, the First Affiliated Hospital (Yijishan Hospital), Wannan Medical College, Wuhu, Anhui, China.
Shizhang LingDepartment of Neurosurgery, The Translational Research Institute for Neurological Disorders, the First Affiliated Hospital (Yijishan Hospital), Wannan Medical College, Wuhu, Anhui, China.
GuangFu DiDepartment of Neurosurgery, The Translational Research Institute for Neurological Disorders, the First Affiliated Hospital (Yijishan Hospital), Wannan Medical College, Wuhu, Anhui, China. wuhusjwk@163.com.
XiaoChun JiangDepartment of Neurosurgery, The Translational Research Institute for Neurological Disorders, the First Affiliated Hospital (Yijishan Hospital), Wannan Medical College, Wuhu, Anhui, China. jiangxiaochun2019@hotmail.com.
Wannan Medical College · CNFirst Affiliated Hospital of Wannan Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is a strikingly heterogeneous and lethal brain tumor with very poor prognosis. LncRNAs play critical roles in the tumorigenesis of GBM through regulation of various cancer-related genes and signaling pathways. Here, we focused on the essential role of EMT and identified 78 upregulated EMT-related genes in GBM through differential expression analysis and Gene set enrichment analysis (GSEA). A total of 301 EMT-related lncRNAs were confirmed in GBM through Spearman correlation analysis and a prognostic signature consisting of seven EMT-related lncRNAs (AC012615.1, H19, LINC00609, LINC00634, POM121L9P, SNHG11, and USP32P3) was established by univariate and multivariate Cox regression analyses. Significantly, Kaplan-Meier analysis and receiver-operating-characteristic (ROC) curve validated the accuracy and efficiency of the signature to be satisfactory. Quantitative real-time (qRT)-PCR assay demonstrated the expression alterations of the seven lncRNAs between normal glial and glioma cell lines. Functional enrichment analysis revealed multiple EMT and metastasis-related pathways were associated with the EMT-related lncRNA prognostic signature. In addition, we observed the degree of immune cell infiltration and immune responses were significantly increased in high-risk subgroup compared with low-risk subgroup. In conclusion, we established an effective and robust EMT-related lncRNA signature which was expected to predict the prognosis and immunotherapy response for GBM patients.

Indexed as

Biomarkers, TumorGene Expression Regulation, NeoplasticCells, CulturedComputational BiologyDatabases, GeneticEpithelial-Mesenchymal TransitionGene Expression ProfilingGlioblastomaHumansPrognosisProtein Interaction MappingProtein Interaction MapsRNA, Long NoncodingROC CurveSignal TransductionTranscriptomeBiomarkers, TumorRNA, Long Noncoding

Identifiers

PMID34880375
PMCPMC8654911
OpenAlexW4200580190

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.