Evidence map›Paper›PMID 32724447›Full record

ArticleOncology letters2020

miR-9-3p inhibits glioma cell proliferation and apoptosis by directly targeting FOXG1.

Jianwen Zhen, Hengxun Zhang, Hongzhi Dong, Xiaopeng Tong

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2020. 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 39% 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, 12 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

4 authors at 1 institution in 1 country.

Jianwen ZhenDepartment of Cardio-cerebrovascular Diseases, The Affiliated Hospital of Xizang Minzu University, Xianyang, Shaanxi 712082, P.R. China.
Hengxun ZhangDepartment of Cardio-cerebrovascular Diseases, The Affiliated Hospital of Xizang Minzu University, Xianyang, Shaanxi 712082, P.R. China.
Hongzhi DongDepartment of Cardio-cerebrovascular Diseases, The Affiliated Hospital of Xizang Minzu University, Xianyang, Shaanxi 712082, P.R. China.
Xiaopeng TongDepartment of Cardio-cerebrovascular Diseases, The Affiliated Hospital of Xizang Minzu University, Xianyang, Shaanxi 712082, P.R. China.
Xizang Minzu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is accumulating evidence indicating that microRNA (miR)-9-3p expression is abnormal in patients with glioma; however, the role of miR-9-3p in glioma remains unclear. In the present study, reverse transcription-quantitative PCR and immunohistochemical assays were conducted to assess miR-9-3p and forkhead box G1 (FOXG1) expression, respectively. A luciferase reporter assay was performed to confirm the target of miR-9-3p. Moreover, cell counting kit-8 and flow cytometry assays were used to assess proliferation and apoptosis, respectively. The present study demonstrated that miR-9-3p is significantly downregulated, and FOXG1 is significantly upregulated, in patients with glioma. miR-9-3p overexpression inhibited proliferation and increased the apoptosis of both U87MG and TG-905 cells. In addition, FOXG1 was identified as a direct target of miR-9-3p, and FOXG1 silencing enhanced the inhibitory effect of miR-9-3p on proliferation and apoptosis in U87 MG and TG-905 cells. In conclusion, the present results suggest that miR-9-3p may suppress malignant biological properties by targeting FOXG1. Thus, miR-9-3p may serve as a diagnostic target and novel prognostic marker in patients with glioma.

Indexed as

apoptosisforkhead box G1gliomamicroRNA-9-3pproliferationTG-905 cellsU87 cells

Identifiers

PMID32724447
PMCPMC7377038
OpenAlexW3035347877

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.