Evidence map›Paper›PMID 26379879›Full record

ArticleInternational journal of clinical and experimental medicine2015

Identification of low miR-105 expression as a novel poor prognostic predictor for human glioma.

Yanlei Guan, Ling Chen, Yijun Bao, Zhipeng Li, Run Cui, Guangyu Li, Yunjie Wang

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.2field-weighted citation impact, top 23% 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, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. miR-223-3p Regulates NLRP3 to Inhibit Proliferation and Promote Apoptosis of ONG Cells.Computational and mathematical methods in medicine · 2022
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  16. MiR-124 inhibits cell proliferation, invasion, and migration in glioma by targeting Smad2.International journal of clinical and experimental pathology · 2017
    Article
  17. Article
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

7 authors at 1 institution in 1 country.

Yanlei GuanDepartment of Neurosurgery, First Affiliated Hospital of China Medical University Shenyang, Liaoning, P.R. China.
Ling ChenDepartment of Geriatric Medicine, First Affiliated Hospital of China Medical University Shenyang, Liaoning, P.R. China.
Yijun BaoDepartment of Neurosurgery, First Affiliated Hospital of China Medical University Shenyang, Liaoning, P.R. China.
Zhipeng LiDepartment of Neurosurgery, First Affiliated Hospital of China Medical University Shenyang, Liaoning, P.R. China.
Run CuiDepartment of Neurosurgery, First Affiliated Hospital of China Medical University Shenyang, Liaoning, P.R. China.
Guangyu LiDepartment of Neurosurgery, First Affiliated Hospital of China Medical University Shenyang, Liaoning, P.R. China.
Yunjie WangDepartment of Neurosurgery, First Affiliated Hospital of China Medical University Shenyang, Liaoning, P.R. China.
First Hospital of China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioma is the most common and aggressive brain tumor with poor clinical outcome. Identification and development of new biomarkers could be beneficial for diagnosis and prognosis of glioma patients. Recent studies have showed evidences that dysregulation of microRNAs (miRNAs) is involved in glioma tumorigenesis. Therefore, we attempted to identify specific miRNAs as prognostic and predictive markers for glioma. We statistically compared expression profile of 365 miRNAs between WHO grade IV and grade III gliomas, by qRT-PCR. MiR-105 was identified as a remarkably decreased miRNA in grade IV gliomas compared with grade III gliomas (P=0.012, fold change =0.04). We subsequently examined its expression levels in an independent series of gliomas, and statistically analyzed the associations between miR-105 expression and clinicopathological characteristics and survivals of these glioma patients. MiR-105 showed remarkably decreased expression in gliomas as compared to non-neoplastic brains. And grade IV gliomas had significantly lower miR-105 expression compared with grade III and II gliomas (both P<0.001). Additionally, low miR-105 expression was statistically associated with advanced tumor grade, advanced patient's age and low pre-operative Karnofsky performance score (all P<0.001). Furthermore, patients with low miR-105 expression had significantly poorer survival by Kaplan-Meier method (P<0.001). Multivariate analysis indicated miR-105 as an independent prognostic indicator for glioma patients (P=0.018, risk ratio =4.2). Our results suggested that low expression of miR-105 may correlate with unfavorable clinical outcome and be involved in tumorigenesis and aggressive progression of glioma. And miR-105 may be a novel biomarker in prognostic prediction for glioma.

Indexed as

down-regulationglioblastomagliomamicroRNAmiR-105prognosis

Identifiers

PMID26379879
PMCPMC4565262
OpenAlexW2404128775

What OpenQuestion holds

Textmetadata
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.