Evidence map›Paper›PMID 29362021›Full record

ArticleOncology research2018

Let-7c Inhibits the Proliferation, Invasion, and Migration of Glioma Cells via Targeting E2F5.

Mengyi Huang, Xin Gong

Open access · hybridAbstract read
In one paragraph

Article in Oncology research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. RNA-Binding Protein Trim71 Controls Epicardial Cell Migration.Journal of cardiovascular development and disease · 2026
    Article
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  8. OncoTargets and therapy · 2020
    Article
  9. Review
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

2 authors at 2 institutions in 1 country.

Mengyi HuangDepartment of Neurosurgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha City, P.R. China.
Xin GongDepartment of Neurosurgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha City, P.R. China.
Hunan Normal University · CNHunan Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a member of the miRNA family, let-7c has been identified as a tumor suppressor in many cancers. However, the molecular biological function of let-7c in glioma has not been elucidated. The aim of this study was to explore let-7c expression levels and evaluate its function in glioma cells. We first measured the expression of let-7c in four glioma cell lines and a normal cell line by quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR), and the results showed that let-7c was downregulated in glioma cells. By applying gain-of-function and loss-of-function assays, the experiments suggested that dysregulation of let-7c could obviously affect cell proliferation, metastasis, and invasion. Based on online bioinformatics analysis and Dual-Luciferase Reporter assays, we found that E2F5 was a target gene of let-7c and contributed to the function of let-7c in glioma cells. Our investigations indicated that loss of let-7c contributed to the progression of glioma cells.

Indexed as

Cell MovementCell ProliferationApoptosisBiomarkers, TumorCell CycleE2F5 Transcription FactorGene Expression Regulation, NeoplasticGliomaHumansMicroRNAsNeoplasm InvasivenessTumor Cells, CulturedWound HealingBiomarkers, TumorE2F5 protein, humanE2F5 Transcription FactorMicroRNAsmirnlet7 microRNA, human

Identifiers

PMID29362021
PMCPMC7844676
OpenAlexW2789845739

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.