Evidence map›Paper›PMID 28852443›Full record

ArticleIranian journal of basic medical sciences2017

miR-92a promotes hepatocellular carcinoma cells proliferation and invasion by FOXA2 targeting.

Liang Wang, Jinhong Wu, Changao Xie

Open access · greenAbstract read
In one paragraph

Article in Iranian journal of basic medical sciences, 2017. 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
1.6field-weighted citation impact, top 18% 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, 26 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

3 authors at 1 institution in 1 country.

Liang WangDepartment of Hepatobiliary Pancreatic Surgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China.
Jinhong WuDepartment of Hepatobiliary Pancreatic Surgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China.
Changao XieDepartment of Gastroenterology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China.
Second Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMicroRNAs (miRNAs) are considered as powerful, post-transcriptional regulators of gene expression in hepatocellular carcinoma cells (HCC). However, the function of miR-92a is still unclear in HCC. MATERIALS AND

methodsExpression of miR-92a in human HCC cell lines was evaluated using qRT-PCR. MTT assay and transwell assay were used to examine the function of miR-92a in HepG2 and Huh7 cells. Bioinformatic analyses and luciferase reporter assays were used to validate FOXA2 as a direct target gene of miR-92a. Consistently, the biological outcome of miR-92a on regulating FOXA2 was examined by proliferation and invasion analysis

resultsHere, we detected the higher expression of miR-92a in human HCC cell lines, such as HepG2, Huh7 and Hep3B, compared with the normal human hepatocyte L02 cells. Overexpression of miR-92a significantly increased cell growth and invasion ability, while the knockdown of miR-92a could remarkably inhibit the growth and invasion possibility. We identified that miR-92a has specific targeting sites in the 3'-UTR of the FOXA2. By overexpressing miR-92a in HepG2 cells or Huh7 cells, the expression of FOXA2 was remarkably repressed.

conclusionWe demonstrated that miR-92a may play a critical role in HCC proliferation and invasion and may serve as a novel therapeutic target by the repression of FOXA2.

Indexed as

FOXA2Hepatocellular carcinomaInvasionmiR-92aProliferation

Identifiers

PMID28852443
PMCPMC5569586
OpenAlexW2728411042

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.