Evidence map›Paper›PMID 31410149›Full record

ArticleExperimental and therapeutic medicine2019

MicroRNA-6852 suppresses glioma A172 cell proliferation and invasion by targeting LEF1.

Jialiang Wang, Haipeng Liu, Kebin Zheng, Shuai Zhang, Wei Dong

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 43% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Jialiang WangDepartment of Neurosurgery, Affiliated Hospital of Hebei University, Baoding, Hebei 071000, P.R. China.
Haipeng LiuDepartment of Neurosurgery, Affiliated Hospital of Hebei University, Baoding, Hebei 071000, P.R. China.
Kebin ZhengDepartment of Neurosurgery, Affiliated Hospital of Hebei University, Baoding, Hebei 071000, P.R. China.
Shuai ZhangDepartment of Neurosurgery, Affiliated Hospital of Hebei University, Baoding, Hebei 071000, P.R. China.
Wei DongDepartment of Neurosurgery, Affiliated Hospital of Hebei University, Baoding, Hebei 071000, P.R. China.
Affiliated Hospital of Hebei University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

microRNA (miR)-6852 has been demonstrated to suppress the progression of gastric, colorectal and cervical cancer. The mechanism by which miR-6852 regulates glioma cells is yet to be elucidated. In the present study, reverse transcription-quantitative PCR analysis was used and the results demonstrated that miR-6852 expression was reduced in glioma tissues and cells. Cell counting kit-8 and transwell assay analysis indicated that proliferation, migration and invasion of A172 cells in the miR-6852 mimic group were lower than in the miR-NC group. Compared with the Inh-NC group, A172 cells of the Inh-miR-6852 group exhibited higher proliferation, migration and invasion. Additionally, the results indicated that lymphoid enhancer binding factor 1 (LEF1) was directly inhibited by miR-6852 and LEF1 expression was negatively correlated with miR-6852 expression in glioma tissues. Furthermore, the restoration of LEF1 reversed the effects of the miR-6852 mimics. The present findings suggested that miR-6852 inhibited glioma cells proliferation, migration and invasion by targeting the suppression of LEF1.

Indexed as

gliomainvasionlymphoid enhancer binding factor 1microRNA-6852migrationproliferation

Identifiers

PMID31410149
PMCPMC6676165
OpenAlexW2958325868

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.