Bracke M E, Vanhoecke B W A, Derycke L, Bolca S, Possemiers S, Heyerick A, Stevens C V, De Keukeleire D, Depypere H T, Verstraete W, Williams C A, McKenna S T, Tomar S, Sharma D, Prasad A K, DePass A L, Parmar V S
Laboratory of Experimental Cancer Research, Department of Radiotherapy, Nuclear Medicine and Experimental Cancer Research, Ghent University Hospital, Belgium.
Anticancer Agents Med Chem. 2008 Feb;8(2):171-85. doi: 10.2174/187152008783497037.
Because invasion is, either directly or via metastasis formation, the main cause of death in cancer patients, development of efficient anti-invasive agents is an important research challenge. We have established a screening program for potentially anti-invasive compounds. The assay is based on organotypic confronting cultures between human invasive cancer cells and a fragment of normal tissue in three dimensions. Anti-invasive agents appeared to be heterogeneous with regard to their chemical nature, but plant alkaloids, polyphenolics and some of their synthetic congeners were well represented. Even within this group, active compounds were quite diverse: (+)-catechin, tangeretin, xanthohumol and other prenylated chalcones, 3,7-dimethoxyflavone, a pyrazole derivative, an isoxazolylcoumarin and a prenylated desoxybenzoin. The data gathered in this system are now applied in two projects. Firstly, structure-activity relationships are explored with computer models using an artificial neural network approach, based on quantitative structural descriptors. The aim of this study is the prediction and design of optimally efficient anti-invasive compounds. Secondly, the metabolism of orally ingested plant polyphenolics by colonic bacteria is studied in a simulator of the human intestinal microbial ecosystem (SHIME) and in human intervention trials. This method should provide information on the final bioavailability of the active compounds in the human body, with regard to microbial metabolism, and the feasibility of designing pre- or probiotics that increase the generation of active principles for absorption in the gastro-intestinal tract. The final and global aim of all these studies is to predict, synthesize and apply in vivo molecules with an optimal anti-invasive, and hence an anti-metastatic activity against cancer.
由于侵袭(无论是直接侵袭还是通过转移灶形成)是癌症患者死亡的主要原因,因此开发高效的抗侵袭药物是一项重要的研究挑战。我们已经建立了一个针对潜在抗侵袭化合物的筛选程序。该检测基于人侵袭性癌细胞与三维正常组织片段之间的器官型对置培养。抗侵袭剂在化学性质上似乎具有异质性,但植物生物碱、多酚类及其一些合成类似物占了很大比例。即使在这一组中,活性化合物也相当多样:(+)-儿茶素、橘皮素、黄腐酚和其他异戊烯基化查耳酮、3,7-二甲氧基黄酮、一种吡唑衍生物、一种异恶唑基香豆素和一种异戊烯基化脱氧安息香。在这个系统中收集的数据现在应用于两个项目。首先,使用基于定量结构描述符的人工神经网络方法,通过计算机模型探索构效关系。本研究的目的是预测和设计最优效的抗侵袭化合物。其次,在人体肠道微生物生态系统模拟器(SHIME)和人体干预试验中研究结肠细菌对口服摄入的植物多酚类的代谢。该方法应提供有关活性化合物在人体中的最终生物利用度的信息,包括微生物代谢方面的信息,以及设计能够增加胃肠道中活性成分生成以供吸收的益生元或益生菌的可行性。所有这些研究的最终总体目标是预测、合成并在体内应用具有最佳抗侵袭活性从而具有抗癌转移活性的分子。