Department of Pharmacy, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, P.R. China.
College of Pharmacy, Wenzhou Medical University, Wenzhou, Zhejiang 325035, P.R. China.
J Microbiol Biotechnol. 2022 Oct 28;32(10):1262-1274. doi: 10.4014/jmb.2207.07037. Epub 2022 Sep 13.
Cholangiocarcinoma (CCA) is a complex and refractor type of cancer with global prevalence. Several barriers remain in CCA diagnosis, treatment, and prognosis. Therefore, exploring more biomarkers and therapeutic drugs for CCA management is necessary. CCA gene expression data was downloaded from the TCGA and GEO databases. KEGG enrichment, GO analysis, and protein-protein interaction network were used for hub gene identification. miRNA were predicted using Targetscan and validated according to several GEO databases. The relative RNA and miRNA expression levels and prognostic information were obtained from the GEPIA. The candidate drug was screened using pharmacophore-based virtual screening and validated by molecular modeling and through several in vitro studies. 301 differentially expressed genes (DEGs) were screened out. Complement and coagulation cascades-related genes (including AHSG, F2, TTR, and KNG1), and cell cycle-related genes (including CDK1, CCNB1, and KIAA0101) were considered as the hub genes in CCA progression. AHSG, F2, TTR, and KNG1 were found to be significantly decreased and the eight predicted miRNA targeting AHSG, F2, and TTR were increased in CCA patients. CDK1, CCNB1, and KIAA0101 were found to be significantly abundant in CCA patients. In addition, Molport-003-703-800, which is a compound that is derived from pharmacophores-based virtual screening, could directly bind to CDK1 and exhibited anti-tumor activity in cholangiocarcinoma cells. AHSG, F2, TTR, and KNG1 could be novel biomarkers for CCA. Molport-003-703-800 targets CDK1 and work as potential cell cycle inhibitors, thereby having potential for consideration for new chemotherapeutics for CCA.
胆管癌(CCA)是一种具有全球普遍性的复杂和难治性癌症。CCA 的诊断、治疗和预后仍存在一些障碍。因此,有必要探索更多的生物标志物和治疗药物来管理 CCA。从 TCGA 和 GEO 数据库中下载了 CCA 基因表达数据。使用 KEGG 富集、GO 分析和蛋白质-蛋白质相互作用网络来识别关键基因。使用 Targetscan 预测 miRNA,并根据多个 GEO 数据库进行验证。从 GEPIA 获得了相对的 RNA 和 miRNA 表达水平和预后信息。使用基于药效团的虚拟筛选筛选候选药物,并通过分子建模和多项体外研究进行验证。筛选出 301 个差异表达基因(DEGs)。补体和凝血级联相关基因(包括 AHSG、F2、TTR 和 KNG1)和细胞周期相关基因(包括 CDK1、CCNB1 和 KIAA0101)被认为是 CCA 进展的关键基因。在 CCA 患者中,AHSG、F2、TTR 和 KNG1 显著降低,而针对 AHSG、F2 和 TTR 的八个预测 miRNA 增加。在 CCA 患者中,CDK1、CCNB1 和 KIAA0101 显著丰富。此外,Molport-003-703-800 是一种源自基于药效团的虚拟筛选的化合物,可直接与 CDK1 结合,并在胆管癌细胞中表现出抗肿瘤活性。AHSG、F2、TTR 和 KNG1 可能是 CCA 的新型生物标志物。Molport-003-703-800 靶向 CDK1 并作为潜在的细胞周期抑制剂发挥作用,因此具有作为 CCA 新化疗药物的潜力。