A network pharmacology to explore the mechanism of cultured bezoar in vitro for the treatment of colorectal cancer

Pharmacy Practice

  • Jiaxi Fei1Department of Graceland Medical Center, The sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China., 2Department of General Practice, The sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China., 3Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Qinbo Wang4Department of Pharmacy, The sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China., 1Department of Graceland Medical Center, The sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China., 3Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Xiaoyan Huang4Department of Pharmacy, The sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China., 3Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Yingjuan Ou4Department of Pharmacy, The sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China., 1Department of Graceland Medical Center, The sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China., 3Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Junrong Chen2Department of General Practice, The sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China., 3Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

Volume 23 Issue 2 Pages 1-8

DOI: 10.18549/PharmPract.2025.2.3143

Abstract

Objective: To analyze the molecular mechanism of in vitro culture of bezoar for the treatment of colorectal cancer patients by network pharmacology. Method: The main components of bezoar were found using TCMSP, then the corresponding molecular formula was searched in PubChem, and the molecular formula of isomeric smile was copied. The isomeric smile molecule was simply placed in the Swiss Target Prediction database to make target prediction, the colorectal cancer disease related genes were screened out through Gebecards, and the target intersection integration between cultured bezoar and colorectal cancer was performed with VENNY. The protein-protein interaction network of intersecting targets was drawn using STRING database (confidence 0.09), and the pathway prediction and related literature research of gene targets for cancer treatment were obtained, and the embellish processing was performed in Cystoscope software. Target intersection was searched in Meta Scape database, KEGG pathway and go bioanalysis were performed, and the main therapeutic pathways of bezoar for colorectal cancer were found. SPSS2.0 statistical method was used to statistically treat the patients with colorectal cancer who had used in vitro cultured bezoar within one year. Result: The main targets of cultured bezoar for the treatment of colorectal cancer are SRC, TP53, MAPK3, MAPK1, HSP90AA1, JUN, PIK3CA, PIK3R1, ESR1, MAPK14, EGFR, HDAC1, FYN, PTPN11, NR3C1, AR, JAK2, CDK1. IL6, MAPK8, JAK1, CDH1, MAP2K1, NCOA3, MDM2, ABL1, SIRT1, CDK2, TGFB1, SYK. The therapeutic pathways include SRC pathway, PI3K/Akt pathway, EGF/EGEF pathway, and RAS-RAF-MAPK pathway. Conclusion: SRC pathway, PI3K/Akt and EGF/EGEF pathway can promote cell proliferation and inhibit cell apoptosis, and their applications in colorectal cancer have been widely accepted.

Keywords

  • Target Spot
  • Genes
  • Cultured bezoar in vitro
  • Colorectal cancer
  • Database
  • PI3K/Akt
  • MAPK
  • EGEF
Pharmacy Practice

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