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分子调控因子推动子宫内膜异位症向子宫内膜癌的发展:一种用于重新利用抗癌药物的多尺度计算研究。

Molecular Regulator Driving Endometriosis Towards Endometrial Cancer: A Multi-Scale Computational Investigation to Repurpose Anti-Cancer drugs.

机构信息

Drug Discovery and Multi-omics Laboratory, Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, 603103, Tamil Nadu, India.

Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia.

出版信息

Cell Biochem Biophys. 2024 Dec;82(4):3367-3381. doi: 10.1007/s12013-024-01420-8. Epub 2024 Jul 23.

Abstract

Endometriosis is a gynecological disorder among reproductive-aged women. Recent epidemiological investigations suggest endometriosis increases the risk of endometrial cancer. However, the molecular entity leading to endometriosis-to-endometrial cancer is largely unknown. This study aimed to combine a variety of computational approaches to identify the key therapeutic target promoting endometriosis-to-endometrial cancer and screen potential inhibitors against target to prevent cancer development. Our systematic investigations, includes transcriptomic profiling, protein network, pharmacophore modeling, docking, binding free energy calculation, dynamics simulation, and quantum mechanics. The gene expression analysis on endometriosis and endometrial cancer was performed and showed 108 shared upregulated genes in both conditions. Further construction of interaction network with 108 genes showed intercellular adhesion molecule 1 (ICAM1) to be a crucial molecule with a high degree of connectivity that influences vital mechanisms related to cancer pathways. We then generated ligand-based pharmacophore models using established ICAM1 inhibitors. Among the models, the ADRRR_8 pharmacophore exhibited a robust area under curve (AUC = 0.83), was employed to screen 1739 anti-cancer drugs. On screening, 421 anti-cancer drugs displayed ICAM1-inhibiting pharmacophore features. Further, the docking of 421 drugs with ICAM1 showed lanreotide (-7.80 kcal/mol) with better affinity than the reference ICAM1 inhibitor (-3.59 kcal/mol). Further validation though binding free energy and dynamics simulation of the lanreotide-ICAM1 complex showed a high binding affinity of -55.90 kcal/mol and contributed stable confirmation. According to quantum chemical calculations, lanreotide's electronic properties favour ICAM1 binding with highest occupied molecular orbital was -6.91 eV and lowest unoccupied molecular orbital was -3.93 eV. Our study supports using lanreotide to treat endometriosis, which could delay or prevent endometrial cancer. These predictions need to be confirmed and examined to determine the use of lanreotide in endometriosis treatment.

摘要

子宫内膜异位症是一种发生在育龄妇女中的妇科疾病。最近的流行病学研究表明,子宫内膜异位症会增加子宫内膜癌的风险。然而,导致子宫内膜异位症发展为子宫内膜癌的分子实体在很大程度上尚不清楚。本研究旨在结合多种计算方法,确定促进子宫内膜异位症发展为子宫内膜癌的关键治疗靶点,并筛选针对该靶点的潜在抑制剂以预防癌症的发生。我们进行了系统的研究,包括转录组谱分析、蛋白质网络、药效团建模、对接、结合自由能计算、动力学模拟和量子力学。对子宫内膜异位症和子宫内膜癌的基因表达进行了分析,结果显示这两种情况下有 108 个共同上调的基因。进一步构建包含这 108 个基因的相互作用网络显示,细胞间黏附分子 1(ICAM1)是一个关键分子,具有高度的连接性,影响与癌症途径相关的重要机制。然后,我们使用已建立的 ICAM1 抑制剂生成基于配体的药效团模型。在这些模型中,ADRRRR_8 药效团表现出较高的曲线下面积(AUC=0.83),用于筛选 1739 种抗癌药物。在筛选过程中,有 421 种抗癌药物显示出与 ICAM1 抑制相关的药效团特征。进一步对接 421 种药物与 ICAM1 表明,兰瑞肽(-7.80 kcal/mol)与参考 ICAM1 抑制剂(-3.59 kcal/mol)相比具有更好的亲和力。通过兰瑞肽-ICAM1 复合物的结合自由能和动力学模拟进一步验证表明,其具有高结合亲和力为-55.90 kcal/mol,并具有稳定的构象。根据量子化学计算,兰瑞肽的电子性质有利于与 ICAM1 结合,最高占据分子轨道为-6.91 eV,最低未占据分子轨道为-3.93 eV。我们的研究支持使用兰瑞肽治疗子宫内膜异位症,这可能会延迟或预防子宫内膜癌。这些预测需要进一步验证和检验,以确定兰瑞肽在子宫内膜异位症治疗中的应用。

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