Evidence map›Paper›PMID 32144351›Full record

SynthesisScientific reports2020

Prognostic value of miR-21 in gliomas: comprehensive study based on meta-analysis and TCGA dataset validation.

Guli Jiang, Jing Mu, Xing Liu, Xiangni Peng, Feiya Zhong, Wenliang Yuan, Fang Deng, Xiaoning Peng, Sihua Peng, Xiaomin Zeng

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 28% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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  17. Prognostic and Predictive Biomarkers in Gliomas.International journal of molecular sciences · 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

10 authors at 5 institutions in 2 countries.

Guli Jiang *Department of Epidemiology and Health Statistics, Xiangya Public Health School, Central South University, Changsha, 410078, Hunan, P.R. China.
Jing Mu *Department of Epidemiology and Health Statistics, Xiangya Public Health School, Central South University, Changsha, 410078, Hunan, P.R. China.
Xing LiuDepartment of Epidemiology and Health Statistics, Xiangya Public Health School, Central South University, Changsha, 410078, Hunan, P.R. China.
Xiangni PengDepartment of Mathematics, The Ohio State University, Columbus, 43210, OH, USA.
Feiya ZhongDepartment of Genetics, College of Life Science, Wuhan University, Wuhan, 430072, Hubei, P.R. China.
Wenliang YuanDepartment of Developmental Biology, School of Fisheries and Life Science, Shanghai Ocean University, Shanghai, 201306, Shanghai, P.R. China.
Fang DengDepartment of Epidemiology and Health Statistics, Xiangya Public Health School, Central South University, Changsha, 410078, Hunan, P.R. China.
Xiaoning PengDepartment of Pathology and Pathophysiology, School of Medicine, Hunan Normal University, Changsha, 410013, Hunan, P.R. China. pxiaoning@hunnu.edu.cn.
Sihua PengDepartment of Developmental Biology, School of Fisheries and Life Science, Shanghai Ocean University, Shanghai, 201306, Shanghai, P.R. China. shpeng@shou.edu.cn.
Xiaomin ZengDepartment of Epidemiology and Health Statistics, Xiangya Public Health School, Central South University, Changsha, 410078, Hunan, P.R. China. zxiaomin@csu.edu.cn.
Central South University · CNShanghai Ocean University · CNHunan Normal University · CNThe Ohio State University · USWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have highlighted the value of microRNA-21 (miR-21) as a prognostic biomarker in gliomas. However, the role of miR-21 in predicting prognosis remains controversial. We performed a comprehensive study based upon a meta-analysis and The Cancer Genome Atlas (TCGA) glioma dataset validation to clarify the prognostic significance of miR-21 in glioma patients. In this study, we searched Embase, PubMed, Web of science, CNKI, SinoMed, and Wanfang databases for records up to May 2018. Relevant data were extracted to assess the correlation between miR-21 expression and survival in glioma patients. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were used to describe association strength. We further used multivariate Cox regression analysis to assess miR-21 expression in the TCGA glioma dataset to validate the relationship between miR-21 expression and survival. Nine studies were included in the meta-analysis. Among them, eight studies provided data on overall survival (OS) with a pooled HR of 1.91 (95% CI: 1.34, 2.73), indicating that higher expression of miR-21 was significantly associated with worse OS in glioma patients; for the other study, which provided data on progression-free survival (PFS), no statistically significant HR was reported for PFS in the glioma patients (HR = 1.23, 95% CI: 0.41, 3.72). A multivariate Cox regression analysis of the miR-21 expression in the TCGA glioma dataset revealed that overexpression of miR-21 was a potential independent prognostic biomarker of poorer OS (HR = 1.27, 95% CI: 1.01, 1.59) and poorer PFS (HR = 1.46, 95% CI: 1.17, 1.82). Our findings suggest that higher expression of miR-21 is correlated with poorer glioma prognosis.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorBrain NeoplasmsGliomaHumansMicroRNAsPrognosisSurvival RateValidation Studies as TopicBiomarkers, TumorMicroRNAsMIRN21 microRNA, human

Identifiers

PMID32144351
PMCPMC7060265
OpenAlexW3009255790

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.