Evidence map›Paper›PMID 25773393›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2015

Correlation of microRNA-10b upregulation and poor prognosis in human gliomas.

Yuchen Ji, Yujun Wei, Jianyong Wang, Kai Gong, Yuqi Zhang, Huancong Zuo

Abstract read
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In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 26% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 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

6 authors at 3 institutions in 1 country.

Yuchen JiMedical Center, Tsinghua University, Haidian District, Beijing, 100084, China.
Yujun Wei
Jianyong Wang
Kai Gong
Yuqi Zhang
Huancong Zuo
Tsinghua University · CNBeijing Shijingshan Hospital · CNInner Mongolia University for Nationalities · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to detect the association between the microRNA-10b (miR-10b) expression level and prognosis in glioma patients. Quantitative real-time polymerase chain reaction (qRT-PCR) analysis was used to measure the expression of miR-10b levels in different-grade glioma tissues and normal brain tissues. The relationship between miR-10b expression levels and clinical pathological characteristics was statistically analyzed. The influence of miR-10b on survival of glioma patients was also analyzed. As a result, miR-10b expression levels in glioma tissues were significantly increased compared to those of normal brain tissues (p < 0.001). And the increased expression levels were associated with the advanced glioma grade (p < 0.001) and larger tumor size (p < 0.001). Moreover, the results of the Kaplan-Meier survival curve indicated that overall survival (OS) and progression-free survival (PFS) were significantly poorer in the high-expression-level group than those in the low-expression-level group (p < 0.001). Finally, the results of the multivariate Cox regression model indicated that the miR-10b expression level was an independent prognostic factor for glioma patients. Taken together, these findings offer convincing evidence that increased miR-10b expression may be an independent marker to predict poor prognosis in patients with gliomas.

Indexed as

AdolescentAdultAgedBiomarkers, TumorBrain NeoplasmsChildDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticGliomaHumansKaplan-Meier EstimateMaleMicroRNAsMiddle AgedPrognosisBiomarkers, TumorMicroRNAsMIRN10 microRNA, human

Identifiers

PMID25773393
OpenAlexW2000225921

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.