{"title":"A Mechanistic Study of the Feasibility of Ursodeoxycholic Acid in the Treatment of Colon Adenocarcinoma.","authors":"Shuyu Liu, Mengyue Zhou, Xiaoli Huang, Peng Chen, Quanpeng Li, Yuting Wang, Xianxiu Ge, Fei Wang, Jianing Xu, Jiayi Gu, Lin Miao, Xueting Deng","doi":"10.2147/DDDT.S500721","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Bile acids promote the progression of colon adenocarcinoma (COAD), and ursodeoxycholic acid (UDCA) is a key drug in promoting bile acid excretion, but its role in COAD unclear. Our study aims to investigate the relationship between COAD and bile acid metabolism and to assess the feasibility of UDCA for the treatment of COAD.</p><p><strong>Methods: </strong>Firstly, biological targets closely related to COAD were identified: Based on the cancer genome atlas (TCGA) database, the core genes of COAD were obtained by differential expression analysis and weighted gene-coexpression network analysis (WGCNA), and subjected to gene ontology (GO) function annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Secondly, finding a drug by target, after identifying UDCA as a candidate drug, the feasibility of UDCA in treating COAD was verified in reverse: Using databases to collect potential targets for COAD and UDCA, and the intersecting genes were the potential targets for UDCA to exert anti-tumor effects. Then Autodock was used for molecular docking to analyze the interaction between UDCA and core target proteins. Finally, experimental validation was performed: MTT assay, wound healing, transwell migration, and angiogenesis assays were used to detect the effects of UDCA on cell proliferation, migration, invasion, and neovascularization.</p><p><strong>Results: </strong>2064 differential genes were screened from TCGA. WGCNA obtained the module most relevant to CRC, containing 493 genes. KEGG analysis found that overlapping genes were mainly concentrated in bile acid metabolic pathways. A total of 26 UDCA anti-tumor targets were obtained in database, and 5 core targets were selected by STRING database and Cytoscape software: TNF, CYP27B1, MDM2, MMP2, CASP3. Molecular docking results showed that UDCA had good binding activity with the core targets. In vitro experiment showed UDCA effectively inhibited the proliferation, migration, invasion and neovascularization in colon cancer cells.</p><p><strong>Conclusion: </strong>The antitumor activity of ursodeoxycholic acid may be related to cell apoptosis, proliferation, migration and vascular neogenesis.</p>","PeriodicalId":11290,"journal":{"name":"Drug Design, Development and Therapy","volume":"19 ","pages":"1839-1852"},"PeriodicalIF":4.7000,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11910939/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drug Design, Development and Therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/DDDT.S500721","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: Bile acids promote the progression of colon adenocarcinoma (COAD), and ursodeoxycholic acid (UDCA) is a key drug in promoting bile acid excretion, but its role in COAD unclear. Our study aims to investigate the relationship between COAD and bile acid metabolism and to assess the feasibility of UDCA for the treatment of COAD.
Methods: Firstly, biological targets closely related to COAD were identified: Based on the cancer genome atlas (TCGA) database, the core genes of COAD were obtained by differential expression analysis and weighted gene-coexpression network analysis (WGCNA), and subjected to gene ontology (GO) function annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Secondly, finding a drug by target, after identifying UDCA as a candidate drug, the feasibility of UDCA in treating COAD was verified in reverse: Using databases to collect potential targets for COAD and UDCA, and the intersecting genes were the potential targets for UDCA to exert anti-tumor effects. Then Autodock was used for molecular docking to analyze the interaction between UDCA and core target proteins. Finally, experimental validation was performed: MTT assay, wound healing, transwell migration, and angiogenesis assays were used to detect the effects of UDCA on cell proliferation, migration, invasion, and neovascularization.
Results: 2064 differential genes were screened from TCGA. WGCNA obtained the module most relevant to CRC, containing 493 genes. KEGG analysis found that overlapping genes were mainly concentrated in bile acid metabolic pathways. A total of 26 UDCA anti-tumor targets were obtained in database, and 5 core targets were selected by STRING database and Cytoscape software: TNF, CYP27B1, MDM2, MMP2, CASP3. Molecular docking results showed that UDCA had good binding activity with the core targets. In vitro experiment showed UDCA effectively inhibited the proliferation, migration, invasion and neovascularization in colon cancer cells.
Conclusion: The antitumor activity of ursodeoxycholic acid may be related to cell apoptosis, proliferation, migration and vascular neogenesis.
期刊介绍：
Drug Design, Development and Therapy is an international, peer-reviewed, open access journal that spans the spectrum of drug design, discovery and development through to clinical applications.
The journal is characterized by the rapid reporting of high-quality original research, reviews, expert opinions, commentary and clinical studies in all therapeutic areas.
Specific topics covered by the journal include:
Drug target identification and validation
Phenotypic screening and target deconvolution
Biochemical analyses of drug targets and their pathways
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Distribution, pharmacokinetics and metabolic transformations of drugs or biologically active compounds in drug development
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Preclinical development studies
Translational animal models
Mechanisms of action and signalling pathways
Toxicology
Gene therapy, cell therapy and immunotherapy
Personalized medicine and pharmacogenomics
Clinical drug evaluation
Patient safety and sustained use of medicines.
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