Li Jun, Feng Shujie, Wang Xiong, Zhang Bingmei, He Qingmin
Ankang Central Hospital, Ankang, 725000, Shaanxi, China.
The Ankang Hospital for Maternity and Child Health, Ankang, 725000, Shaanxi, China.
Mol Biotechnol. 2025 May;67(5):2138-2159. doi: 10.1007/s12033-024-01190-x. Epub 2024 Jun 1.
Curcumin, a phenolic compound derived from turmeric, has demonstrated anti-tumor properties in preclinical models of various cancers. However, the exact mechanism of curcumin in treating bladder cancer remains unclear. This study aimed to elucidate the therapeutic targets and molecular mechanisms of curcumin in the treatment of BC through an integrated approach of network pharmacology, molecular docking, and molecular dynamics simulations. PharmMapper, SuperPred, TargetNet, and SwissTargetPrediction were utilized to acquire targets associated with curcumin, while GeneCards, CTD, DisGeNET, OMIM, and PharmGKB databases were utilized to obtain targets related to bladder cancer. The drug-disease interaction targets were obtained using Venny 2.1.0, and GO and KEGG enrichment analyses were then conducted with the DAVID tool. We constructed a protein-protein interaction (PPI) network and identified tenkey targets. In conclusion, AutoDock Tools 1.5.7 was utilized to conduct molecular docking simulations, followed by additional analysis of the central targets through the GEPIA, HPA, cBioPortal, and TIMER databases. A total of 305 potential anticancer targets of curcumin were obtained. The analysis of GO functional enrichment resulted in a total of 1105 terms, including 786 terms related to biological processes (BP), 105 terms related to cellular components (CC), and 214 terms related to molecular functions (MF). In addition, KEGG pathway enrichment analysis identified 170 relevant signaling pathways. Treating bladder cancer could potentially involve inhibiting pathways like the PI3K-Akt signaling pathway, MAPK signaling pathway, EGFR tyrosine kinase inhibitor resistance, and IL-17 signaling pathway. Activating TNF, ALB, CASP3, and ESR1 while inhibiting AKT1, EGFR, STAT3, BCL2, SRC, and HSP90AA1 can also hinder the proliferation of bladder tumor cells. According to the results of molecular docking, curcumin binds to these central targets in a spontaneous manner, exhibiting binding energies lower than - 1.631 kJ/mol. These findings were further validated at the transcriptional, translational and immune infiltration levels. By utilizing network pharmacology and molecular docking techniques, it was discovered that curcumin possesses diverse effects on multiple targets and pathways for treating bladder cancer. It has the potential to impede the growth of bladder tumor cells by suppressing various pathways including the PI3K-Akt and MAPK signaling pathways, as well as pathways associated with EGFR tyrosine kinase inhibitor resistance and the IL-17 signaling pathway. Curcumin could potentially disrupt the cell cycle advancement in bladder cancer cells by increasing the expression of TNF, ALB, CASP3, and ESR1 while decreasing AKT1, EGFR, STAT3, BCL2, SRC, HSP90AA1, and other targeted genes. These findings reveal the possible molecular pathways through which curcumin exerts its anticancer effects in bladder cancer, and this novel research strategy not only provides an important basis for an in-depth understanding of the anticancer mechanism of curcumin, but also offers new potential drugs and targets for the clinical treatment of bladder cancer. Therefore, this study is of great scientific significance and practical application value for promoting the development of bladder cancer therapeutic field. This finding provides strong support for the development of novel, safe and effective drugs for bladder cancer treatment.
姜黄素是一种从姜黄中提取的酚类化合物,在多种癌症的临床前模型中已显示出抗肿瘤特性。然而,姜黄素治疗膀胱癌的确切机制仍不清楚。本研究旨在通过网络药理学、分子对接和分子动力学模拟的综合方法,阐明姜黄素治疗膀胱癌的治疗靶点和分子机制。利用PharmMapper、SuperPred、TargetNet和SwissTargetPrediction获取与姜黄素相关的靶点,同时利用GeneCards、CTD、DisGeNET、OMIM和PharmGKB数据库获取与膀胱癌相关的靶点。使用Venny 2.1.0获得药物 - 疾病相互作用靶点,然后用DAVID工具进行GO和KEGG富集分析。我们构建了一个蛋白质 - 蛋白质相互作用(PPI)网络并确定了十个关键靶点。总之,利用AutoDock Tools 1.5.7进行分子对接模拟,随后通过GEPIA、HPA、cBioPortal和TIMER数据库对核心靶点进行进一步分析。共获得姜黄素305个潜在的抗癌靶点。GO功能富集分析共得到1105个术语,其中包括786个与生物过程(BP)相关的术语、105个与细胞成分(CC)相关的术语和214个与分子功能(MF)相关的术语。此外,KEGG通路富集分析确定了170条相关信号通路。治疗膀胱癌可能涉及抑制PI3K - Akt信号通路、MAPK信号通路、EGFR酪氨酸激酶抑制剂耐药性和IL - 17信号通路等途径。激活TNF、ALB、CASP3和ESR1,同时抑制AKT1、EGFR、STAT3、BCL2、SRC和HSP90AA1也可以阻碍膀胱肿瘤细胞的增殖。根据分子对接结果,姜黄素以自发方式与这些核心靶点结合,表现出低于 - 1.631 kJ/mol的结合能。这些发现分别在转录、翻译和免疫浸润水平上得到了进一步验证。通过利用网络药理学和分子对接技术,发现姜黄素对治疗膀胱癌的多个靶点和途径具有多种作用。它有可能通过抑制包括PI3K - Akt和MAPK信号通路以及与EGFR酪氨酸激酶抑制剂耐药性和IL - 17信号通路相关的各种途径来阻碍膀胱肿瘤细胞的生长。姜黄素可能通过增加TNF、ALB、CASP3和ESR1的表达,同时降低AKT1、EGFR、STAT3、BCL2、SRC、HSP90AA1和其他靶向基因的表达,从而破坏膀胱癌细胞的细胞周期进程。这些发现揭示了姜黄素在膀胱癌中发挥抗癌作用可能的分子途径,这种新的研究策略不仅为深入理解姜黄素的抗癌机制提供了重要依据,也为膀胱癌的临床治疗提供了新的潜在药物和靶点。因此,本研究对于推动膀胱癌治疗领域的发展具有重要的科学意义和实际应用价值。这一发现为开发新型、安全有效的膀胱癌治疗药物提供了有力支持。