Department of Medicine, Surgery and Dentistry, Division of Pathology, University of Milan, AO San Paolo and Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan 20142, Italy.
Proc Natl Acad Sci U S A. 2010 May 4;107(18):8352-6. doi: 10.1073/pnas.0907676107. Epub 2010 Apr 19.
Predicting drug response in cancer patients remains a major challenge in the clinic. We have perfected an ex vivo, reproducible, rapid and personalized culture method to investigate antitumoral pharmacological properties that preserves the original cancer microenvironment. Response to signal transduction inhibitors in cancer is determined not only by properties of the drug target but also by mutations in other signaling molecules and the tumor microenvironment. As a proof of concept, we, therefore, focused on the PI3K/Akt signaling pathway, because it plays a prominent role in cancer and its activity is affected by epithelial-stromal interactions. Our results show that this culture model preserves tissue 3D architecture, cell viability, pathway activity, and global gene-expression profiles up to 5 days ex vivo. In addition, we show pathway modulation in tumor cells resulting from pharmacologic intervention in ex vivo culture. This technology may have a significant impact on patient selection for clinical trials and in predicting response to small-molecule inhibitor therapy.
预测癌症患者的药物反应仍然是临床中的一个主要挑战。我们已经完善了一种离体、可重现、快速和个性化的培养方法,用于研究保留原始癌症微环境的抗肿瘤药理特性。癌症对信号转导抑制剂的反应不仅取决于药物靶点的特性,还取决于其他信号分子和肿瘤微环境中的突变。因此,作为概念验证,我们专注于 PI3K/Akt 信号通路,因为它在癌症中起着重要作用,其活性受到上皮-间质相互作用的影响。我们的结果表明,这种培养模型在离体培养中可保存组织 3D 结构、细胞活力、通路活性和全基因表达谱长达 5 天。此外,我们还表明,在离体培养中通过药物干预可以调节肿瘤细胞中的通路。这项技术可能对临床试验中的患者选择和预测小分子抑制剂治疗的反应具有重要意义。