Evidence map›Paper›PMID 29735451›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2018

[Glycyrrhetinic acid selectively inhibits proliferation of hepatocellular carcinoma cells in vitro].

Yun-Qi Zhang, Yun Cai, Yuan Liu, Bo-Xin Zhao, Guo-Feng Li

Abstract read
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Yun-Qi ZhangDepartment of Pharmacy, Nanfang Hospital/Rational Medication Evaluation and Drug Delivery Technology Lab, Nanfang Hospital/Guangdong Key Laboratory of New Drug Screening, School of Pharmaceutics, Southern Medical University, Guangzhou 510515, China. E-mail: 1140336997@qq.com.
Yun Cai
Yuan Liu
Bo-Xin Zhao
Guo-Feng Li
Nanfang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the selective inhibitory effect of glycyrrhetinic acid on 4 hepatocellular carcinoma (HCC) cells with different proliferation rates and explore the underlying mechanisms.

methodsMTT method was used to detect the proliferation rates of 4 HCC cell lines, namely SMMC-7721, SK-HEP1, HEPG2 and HEP3B. Following treatment of the cells with glycyrrhetinic acid (5, 10, 20, 30, 40, and 60 µmol/L), the cell viability was analyzed using MTT assay and the expressions of total ERK protein, p-ERK protein and topoisomerase IIα were detected using Western blotting.

resultsAmong the 4 cell lines, SMMC-7721 had the lowest and SK-HEP1 had the highest proliferation rate. Treatment with glycyrrhetinic acid for 48 h dose-dependently inhibited the proliferation of all the 4 cell lines in vitro and produced the strongest inhibitory effect in SMMC-7721 cells with the IC

conclusionGlycyrrhetinic acid can inhibit the proliferation of different HCC cells particularly in cells with a low proliferation rate. The inhibitory effect of glycyrrhetinic acid might be mediated by reducing the expressions of topoisomerase IIα and inhibiting the ERK pathway.

Indexed as

Carcinoma, HepatocellularCell Line, TumorCell ProliferationDNA Topoisomerases, Type IIExtracellular Signal-Regulated MAP KinasesGlycyrrhetinic AcidHumansLiver NeoplasmsDNA Topoisomerases, Type IIExtracellular Signal-Regulated MAP KinasesGlycyrrhetinic Acid

Identifiers

PMID29735451
PMCPMC6765654
OpenAlexW2961305496

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.