Evidence map›Paper›PMID 40436970›Full record

ArticleScientific reports2025

Network pharmacology, prognostic analysis and experimental validation elucidate the therapeutic mechanism of Dingxiang Guanshitong in esophageal cancer.

Hao Zhang, Shi-Qi Wang, Xiao-Qi Chen, Li-Qi Li, Yu-Hong Zheng, Ya-Ling Zhang, Xue-Wen Diao, Pei-Yu Yan, Yu-Ling Zheng

Abstract read
In one paragraph

Article in Scientific reports, 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

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

1 citing paper in PubMed.

  1. 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

9 authors.

Hao ZhangFaculty of Chinese Medicine, Macau University of Science and Technology, SAR, Macao, China.
Shi-Qi WangThe First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.
Xiao-Qi ChenThe First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.
Li-Qi LiFaculty of Chinese Medicine, Macau University of Science and Technology, SAR, Macao, China.
Yu-Hong ZhengFaculty of Chinese Medicine, Macau University of Science and Technology, SAR, Macao, China.
Ya-Ling ZhangThe First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China.
Xue-Wen DiaoHenan University of Traditional Chinese Medicine, Zhengzhou, China.
Pei-Yu YanFaculty of Chinese Medicine, Macau University of Science and Technology, SAR, Macao, China. pyyan@must.edu.mo.
Yu-Ling ZhengThe First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China. zhengyl@hactcm.edu.cn.

Funding

the Henan Provincial Research Project on Traditional Chinese Medicine Science 2023ZYZD05the National Administration of Traditional Chinese Medicine [2022] 75the Science and Technology Development Fund, Macau SAR SKL-QRCM (MUST)-2020-2022, 0011/2021/A
6 · The paper itself

Abstract

This study aimed to investigate the target genes of active components in Dingxiang Guanshitong (DGST) and evaluate their significance in the prognosis of esophageal cancer (EC) through integrated approaches, including network pharmacology, molecular docking, prognostic analysis, and in vitro experiments. EC-related data were obtained from TCGA database, while SymMap and TCMSP databases were utilized to identify DGST's bioactive components and their targets. A comprehensive network was constructed to map component-target-pathway interactions. Bioinformatics analysis revealed 113 key signaling pathways and 424 differentially expressed targets associated with DGST and EC. Univariate Cox regression analysis identified 21 target genes significantly correlated with overall survival (OS) in EC patients, among which six exhibited pharmacological activity. Molecular docking confirmed strong binding affinities between DGST's active components and critical targets. In vitro experiments demonstrated that DGST suppressed migration, invasion, and proliferation of TE-1 and EC-109 cell lines while promoting apoptosis. Furthermore, DGST significantly upregulated the protein and mRNA expression of the prognostic factor NFKBIA, while downregulating GPER1, HK2, MAOB, TNFRSF10B, and ECE1. This study is the first to elucidate the molecular mechanisms underlying DGST's anti-EC effects. DGST exerts its anti-cancer activity by targeting prognosis-related genes and modulating the expression of critical molecular markers, thereby inhibiting EC progression and improving therapeutic outcomes. These findings provide a robust scientific foundation for the clinical application of DGST and further exploration of its mechanistic basis.

Indexed as

Drugs, Chinese HerbalEsophageal NeoplasmsNetwork PharmacologyApoptosisCell Line, TumorCell MovementCell ProliferationComputational BiologyFemaleGene Expression Regulation, NeoplasticHumansMaleMolecular Docking SimulationPrognosisSignal TransductionDrugs, Chinese HerbalDingxiang guanshitongEsophageal cancerMolecular dockingNetwork pharmacologyPathway enrichmentPrognostic target genes

Identifiers

PMID40436970
PMCPMC12119994

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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.