Evidence map›Paper›PMID 42675705›Full record

ArticleMedicine2026

Exploring the treatment of liver cancer with Gehua Hugan Gao based on bioinformatics, network pharmacology, and molecular docking.

Guangze Ye, Zhu Yang, Bing Yang, Dalin Chen, Dan Li, Hongting Yan, Hanbo Qiu, Fengxi Long, Wenyu Wu, Dongxin Tang

Abstract read
In one paragraph

Article in Medicine, 2026. 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
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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

0 citing papers in PubMed.

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

10 authors.

Guangze YeGuizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.ORCID 0009-0000-0567-4678
Zhu YangGuizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.
Bing YangMedical Translational Engineering Research Center for Prevention and Treatment of Oncology of Traditional Chinese Medicine and Ethnomedicine in Higher Education Institutions, Guiyang, Guizhou, China.
Dalin ChenGuizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.
Dan LiGuizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.
Hongting YanGuizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.
Hanbo QiuGuizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.
Fengxi LongGuizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.
Wenyu WuMedical Translational Engineering Research Center for Prevention and Treatment of Oncology of Traditional Chinese Medicine and Ethnomedicine in Higher Education Institutions, Guiyang, Guizhou, China.
Dongxin TangMedical Translational Engineering Research Center for Prevention and Treatment of Oncology of Traditional Chinese Medicine and Ethnomedicine in Higher Education Institutions, Guiyang, Guizhou, China.ORCID 0009-0009-8114-1924

Funding

Medical Translational Engineering Research Center of Traditional Chinese Medicine and Ethnomedicine for Cancer Prevention and Treatment in Higher Education Institutions in Guizhou Province Qian Jiao Ji[2023] No.037Standardized Base Construction of Traditional Chinese Medicine (Miao Medicine) Qian Cai She [2016] No.117Talent Base of TCM Tumor Inheritance and Science and Technology Innovation in Guizhou Province Qian Ren Ling Fa[2018]No.3
6 · The paper itself

Abstract

Gehua Hugan Gao (GHHGG) is a traditional Chinese medicine paste that is chiefly used to treat liver cancer. However, the potential impact of GHHGG on liver cancer remains unclear. We explored how GHHGG treats liver cancer using bioinformatics, network pharmacology, and molecular docking. Network pharmacology included GHHGG active ingredients, predicted targets, predicted targets for liver cancer, and differential gene collection. A protein-protein interaction network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins database, and crucial targets were ranked according to their degree values. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses of liver cancer targets were followed by survival, differential analysis, and molecular docking. Venn diagrams show 123 predicted GHHGG targets for the treatment of hepatocellular carcinoma (HCC). Enrichment analysis showed that GHHGG treats HCC through multiple targets and pathways. We also found that estrogen receptor 1, cytochrome P450 3A4, cyclin-dependent kinase 4, type IIA topoisomerase, aurora kinase A, and cyclin E1 targets were closely associated with HCC development through survival and differential analyses. Molecular docking confirmed GHHGG's strong affinity for liver cancer targets. This study helps us understand GHHGG ingredients and targets for liver cancer treatment. To a certain extent, the molecular mechanism of GHHGG in the treatment of liver cancer has been elucidated, thus providing a theoretical basis.

Indexed as

Carcinoma, HepatocellularComputational BiologyDrugs, Chinese HerbalLiver NeoplasmsHumansMolecular Docking SimulationNetwork PharmacologyProtein Interaction MapsDrugs, Chinese HerbalGehua Hugan Gaoliver cancermolecular dockingnetwork pharmacology

Identifiers

PMID42675705
PMCPMC13529172

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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.