Evidence map›Paper›PMID 39422791›Full record

ArticleCell biochemistry and biophysics2025

Ginsenoside 20(S)-Rg3 Hinders Esophageal Squamous Cell Carcinoma Cells Malignant Behaviors by miR-210-3p/B4GALT5 Axis.

Min Jiang, Hong Yu

Abstract read
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In one paragraph

Article in Cell biochemistry and biophysics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. Article
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.

Min JiangDepartment of Pathology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, Jiangsu, China.
Hong YuDepartment of Pathology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, Jiangsu, China. yuhongmiaomiao@163.com.

Funding

Scientific Research Project Foundation of Health Department, Jiangsu, China H2017075Taizhou Society Development Project, Jiangsu, China TS201905the Innovation Team Project Foundation of Taizhou People's Hospital CXTDB201904
6 · The paper itself

Abstract

Ginsenoside 20(S)-Rg3 (20(S)-Rg3) belongs to a natural chemical with an anti-tumor function, but its potential function and underlying mechanism in esophageal squamous cell carcinoma (ESCC) are unknown. Several reports have manifested that microRNA (miRNA) miR-210-3p functions as a tumor repressor in tumors, but its biofunction in ESCC remains obscure. Herein, the role and interaction of 20(S)-Rg3 and miR-210-3p in ESCC cells were investigated. We performed a series of functional experiments to validate that 20(S)-Rg3 notably restrained ESCC cell proliferation and migration while promoting cell apoptosis. Besides, miR-210-3p was found to be lowly expressed in ESCC cells. Overexpressing miR-210-3p suppressed the malignant behaviors of ESCC cells. More importantly, 20(S)-Rg3 could upregulate miR-210-3p expression in ESCC cells. MiR-210-3p knockdown offset the inhibitive impacts of 20(S)-Rg3 treatment on ESCC cell growth and migration. Furthermore, through luciferase reporter assay, beta-1,4-galactosyltransferase 5 (B4GALT5) was certified to be targeted by miR-210-3p. B4GALT5 upregulation neutralized the suppressive function of 20(S)-Rg3 on ESCC progression. Overall, 20(S)-Rg3 attenuated malignant behaviors of ESCC cells by modulating miR-210-3p/B4GALT5 axis, indicating 20(S)-Rg3 has therapeutic potential for ESCC.

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaGalactosyltransferasesGinsenosidesMicroRNAsApoptosisCell Line, TumorCell MovementCell ProliferationGene Expression Regulation, NeoplasticHumansGalactosyltransferasesginsenoside Rg3GinsenosidesMicroRNAsMIRN210 microRNA, humanB4GALT5Esophageal squamous cell carcinomaGinsenoside 20(S)-Rg3MiR-210-3p

Identifiers

PMID39422791

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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.