Evidence map›Paper›PMID 24062138›Full record

ArticleJournal of neuro-oncology2013

MicroRNA-650 expression in glioma is associated with prognosis of patients.

Boqian Sun, Bo Pu, Dake Chu, Xiaodan Chu, Wei Li, Dun Wei

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of neuro-oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Functions and mechanisms of miR-650 in human diseases.Frontiers in molecular biosciences · 2026
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  20. Correlation of microRNA-10b upregulation and poor prognosis in human gliomas.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
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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.

Boqian SunMedical Department of Neurology, Affiliated Hospital of Beihua University, Jilin, 132011, People's Republic of China, sunboqian@live.cn.
Bo Pu
Dake Chu
Xiaodan Chu
Wei Li
Dun Wei

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs are known as non-coding RNAs that regulate the expression of target mRNA. Accumulating evidence has indicated that microRNA expression in human malignancies can be utilized as a prognostic marker for patients. However, the prognostic value of miR-650 in human glioma has not been investigated yet. In the present investigation, we have recruited 168 cases glioma specimens and 21 normal control brain specimens. Quantitative real-time PCR was carried out to investigate the expression of miR-650. Kaplan-Meier analysis and Cox's proportional hazards model was used to evaluate the association of miR-650 with prognosis of glioma patients. Results showed that miR-650 expression was increased in glioma compared with normal control specimens (P < 0.001). It was also found that miR-650 expression was related to World Health Organization grade and Karnofsky performance score (KPS) for high expression was more frequently detected in glioma of high grade or low KPS score (P < 0.001). The prognosis of glioma with high miR-650 expression was significantly worse compared with that of glioma with low miR-650 expression. These results proved that miR-650 expression was a significant prognostic indicator in glioma, which may suggest new management of human glioma.

Indexed as

BrainBrain NeoplasmsCase-Control StudiesCohort StudiesFemaleFollow-Up StudiesGliomaHumansMaleMicroRNAsMiddle AgedNeoplasm GradingPrognosisReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionRNA, MessengerMicroRNAsMIRN650 microRNA, humanRNA, Messenger

Identifiers

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Textmetadata
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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.