Qayoom Hina, Keshari Pankaj, Mir Manzoor A
Cancer Biology Lab, Department of Bioresources, School of Biological Sciences, University of Kashmir, Srinagar, Jammu and Kashmir, 190006, India.
Department of Biochemistry, All India Institute of Medical Sciences (AIIMS), New Delhi, 110029, India.
Discov Oncol. 2025 Aug 11;16(1):1520. doi: 10.1007/s12672-025-03158-y.
Breast cancer is the most diagnosed cancer in women and the second leading cause of cancer-related deaths worldwide. Chemotherapy faces challenges like drug resistance, side effects, and recurrence, underscoring the need for innovative therapies. This study explores cryptolepine, a natural compound, for its therapeutic potential against heterogeneous BC by targeting specific molecular mechanisms.
we conducted an ADMET analysis to assess cryptolepine's pharmacokinetic properties and drug-likeness. Target prediction was performed using SWISS-TARGET-PREDICTION and Integrative Pharmacology for BC. Identified targets were cross-referenced with BC-related genes from Gene Atlas, TCGA, and OMIM. Protein-protein interactions were analyzed using STRING, and pathway enrichment was assessed using KEGG and ShinyGO. Molecular docking and dynamics simulations evaluated cryptolepine's binding efficacy while in-vitro assays, including proliferation studies and mRNA expression analysis, validated these findings.
Cryptolepine demonstrated favorable drug-likeness and multi-target activity, interacting with key cancer pathways such as p53, STAT3, and PI3K-Akt. Network pharmacology revealed its potential to reduce drug resistance. Cryptolepine regulated important genes (PTGS2, STAT3, CCND1) across critical pathways (cAMP, PI3K/AKT, P53, IL6/JAK2/STAT3). Molecular docking confirmed strong binding (ΔG - 8.2 kcal/mol), and in-vitro assays showed IC50 values of 4.6 μM for MDA-MB-231 and 3.1 μM for Mcf-7. mRNA expression analysis indicated increased cytochrome C and BAX, while pro-caspase levels decreased.
Cryptolepine shows promise as a therapeutic candidate for BC. Future research should optimize its pharmacological profile for specificity and reduced toxicity.
乳腺癌是女性中诊断出最多的癌症,也是全球癌症相关死亡的第二大主要原因。化疗面临耐药性、副作用和复发等挑战,这凸显了创新疗法的必要性。本研究探索了天然化合物隐丹参酮通过靶向特定分子机制对异质性乳腺癌的治疗潜力。
我们进行了ADMET分析以评估隐丹参酮的药代动力学性质和药物相似性。使用SWISS-TARGET-PREDICTION和乳腺癌综合药理学进行靶点预测。将鉴定出的靶点与来自基因图谱、TCGA和OMIM的乳腺癌相关基因进行交叉引用。使用STRING分析蛋白质-蛋白质相互作用,并使用KEGG和ShinyGO评估通路富集。分子对接和动力学模拟评估了隐丹参酮的结合效果,而体外试验,包括增殖研究和mRNA表达分析,验证了这些发现。
隐丹参酮表现出良好的药物相似性和多靶点活性,与p53、STAT3和PI3K-Akt等关键癌症通路相互作用。网络药理学揭示了其降低耐药性的潜力。隐丹参酮调节关键通路(cAMP、PI3K/AKT、P53、IL6/JAK2/STAT3)中的重要基因(PTGS2、STAT3、CCND1)。分子对接证实了强结合(ΔG - 8.2 kcal/mol),体外试验显示MDA-MB-231的IC50值为4.6 μM,Mcf-7的IC50值为3.1 μM。mRNA表达分析表明细胞色素C和BAX增加,而前半胱天冬酶水平降低。
隐丹参酮有望成为乳腺癌的治疗候选药物。未来的研究应优化其药理学特征以提高特异性并降低毒性。