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. 2021 Sep 29;11:19268. doi: 10.1038/s41598-021-98948-z

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Identifying common targets for Tan-IIA and Cholangiocarcinoma. (A) Venn diagrams were created by using the VennDiagram package¹² in R software (version number: 4. 0. 0), depicting the intersection of Tan-IIA and Cholangiocarcinoma targets. (B) PPI network was constructed using 17 common targets of Cholangiocarcinoma and Tan-IIA. (C) Cytoscape plotted the network pharmacology, using red and yellow lines to indicate the interactions between Tan-IIA and targets and target-to-target interactions. GO and KEGG analysis of common targets. (D) GO functional enrichment was ran by using the clusterProfiler package¹⁴ in R software (version number: 4. 0. 0) and GO analysis of the enriched biological functions of the common target genes was performed (counts ≥ 30). (E) KEGG^15,16 analysis of signaling pathways enriched by common target genes (counts ≥ 30). (F) Map of PI3K/AKT pathway obtained from KEGG analysis.