Evidence map›Paper›PMID 23298385›Full record

ArticleDiagnostic pathology2013

Correlation of microRNA-372 upregulation with poor prognosis in human glioma.

Gang Li, Zhiguo Zhang, Yanyang Tu, Tianbo Jin, Hongjuan Liang, Guangbin Cui, Shiming He, Guodong Gao

Open access · goldAbstract read
In one paragraph

Article in Diagnostic pathology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.

  1. Pooled it
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  11. MicroRNAs as prognostic biomarker and relapse indicator in leukemia.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2017
    Review
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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.

Gang LiDepartment of Neurosurgery, Tangdu hospital, the Fourth Military Medical University, No. 569, Xinsi Road, Xi'an 710038, China.
Zhiguo Zhang
Yanyang Tu
Tianbo Jin
Hongjuan Liang
Guangbin Cui
Shiming He
Guodong Gao
Air Force Medical University · CNNorthwest University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNA-372 (miR-372) acts as either an oncogenic miRNA or an anti-oncomiR in various human malignancies. However, its roles in gliomas have not been elucidated. To address this problem, we here detected miR-372 expression in human gliomas and non-neoplastic brain tissues by real-time quantitative RT-PCR assay. The association of miR-372 expression with clinicopathological factors or prognosis of glioma patients was also statistically analyzed. As the results, miR-372 expression levels were significantly upregulated in glioma tissues compared to the corresponding non-neoplastic brain tissues (P<0.001). In addition, the high miR-372 expression was significantly associated with the advanced pathological grade (P=0.008) and the low Karnofsky performance score (KPS) of glioma patients (P=0.01). Moreover, the overall survival of patients with high miR-372 expression was dramatically shorter than those with low miR-372 expression (P<0.001). Furthermore, multivariate Cox regression analysis indicated that miR-372 expression was an independent prognostic factor for glioma patients (P=0.008). More importantly, subgroup analyses according to tumor pathological grade revealed that the cumulative overall survival of glioma patients with advanced pathological grades was significantly worse for high miR-372 expression group than for low miR-372 expression group (P<0.001), but no significant difference was found for patients with low pathological grades (P=0.08). Taken together, these data offer the convincing evidence for the first time that miR-372 may act as an oncogenic miRNA in gliomas and represent a potential regulator of aggressive development and a candidate prognostic marker for this malignancy, especially for advanced tumors with high pathological grades. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1707761328850011.

Indexed as

AdolescentAdultAgedBiomarkers, TumorBrain NeoplasmsChildFemaleGliomaHumansKaplan-Meier EstimateKarnofsky Performance StatusMaleMicroRNAsMiddle AgedMultivariate AnalysisNeoplasm GradingBiomarkers, TumorMicroRNAsMIRN372 microRNA, human

Identifiers

PMID23298385
PMCPMC3551676
OpenAlexW2098460362

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.