Evidence map›Paper›PMID 25596705›Full record

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

Decreased expression of microRNA-107 predicts poorer prognosis in glioma.

Yuchen Ji, Yujun Wei, Jianyong Wang, Qiang Ao, Kai Gong, Huancong Zuo

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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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

15 citing papers in PubMed, 17 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
Qiang Ao
Kai Gong
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 expression level of microRNA-107 (miR-107) has been proved to be decreased in many human malignant cancers. Especially in glioma, accumulating evidence indicates that miR-107 may play important parts in cell proliferation, apoptosis, and invasion in glioma. However, its clinical significance in glioma has not been investigated. This study aims at investigating the relationship between miR-107 expression level and clinical significance and analyzing its value of miR-107 in valuing the prognosis of glioma patients. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to measure the expression of miR-107 in 80 glioma and 17 normal brain tissues. The results showed the miR-107 expression level in glioma tissues was significantly lower than those in normal brain tissues (p < 0.001). The decreased expression of miR-107 in glioma was positively associated with high WHO grade (p < 0.001), low Karnofsky performance score (KPS) (p < 0.001), and large tumor size (p < 0.001) and had a significant impact on overall survival (OS) (p < 0.001) and progression-free survival (PFS) (p < 0.001) according to Kaplan-Meier survival with log-rank test. Finally, Cox regression analyses showed that low miR-107 expression (p < 0.001) might be an independent prognostic parameter to predict poor prognosis. In conclusion, it is the first data to prove that expression level of miR-107 may be a novel and valuable prognostic factor in glioma.

Indexed as

AdolescentAdultAgedApoptosisBiomarkers, TumorBrain NeoplasmsCell ProliferationChildChild, PreschoolDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticGliomaHumansKaplan-Meier EstimateMaleBiomarkers, TumorMicroRNAsMIRN107 microRNA, human

Identifiers

PMID25596705
OpenAlexW2069639704

What OpenQuestion holds

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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.