Ascheid David, Baumann Magdalena, Pinnecker Jürgen, Friedrich Mike, Szi-Marton Daniel, Medved Cornelia, Bundalo Maja, Ortmann Vanessa, Öztürk Asli, Nandigama Rajender, Hemmen Katherina, Ergün Süleymann, Zernecke Alma, Hirth Matthias, Heinze Katrin G, Henke Erik
Institute of Anatomy and Cell Biology, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.
Chair of Molecular Microscopy, Rudolf-Virchow-Center for Integrative and Translational Bioimaging, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.
Nat Commun. 2024 Apr 27;15(1):3599. doi: 10.1038/s41467-024-48010-z.
Targeting the supportive tumor microenvironment (TME) is an approach of high interest in cancer drug development. However, assessing TME-targeted drug candidates presents a unique set of challenges. We develop a comprehensive screening platform that allows monitoring, quantifying, and ranking drug-induced effects in self-organizing, vascularized tumor spheroids (VTSs). The confrontation of four human-derived cell populations makes it possible to recreate and study complex changes in TME composition and cell-cell interaction. The platform is modular and adaptable for tumor entity or genetic manipulation. Treatment effects are recorded by light sheet fluorescence microscopy and translated by an advanced image analysis routine in processable multi-parametric datasets. The system proved to be robust, with strong interassay reliability. We demonstrate the platform's utility for evaluating TME-targeted antifibrotic and antiangiogenic drugs side-by-side. The platform's output enabled the differential evaluation of even closely related drug candidates according to projected therapeutic needs.
靶向支持性肿瘤微环境(TME)是癌症药物开发中备受关注的一种方法。然而,评估针对TME的候选药物面临一系列独特的挑战。我们开发了一个综合筛选平台,该平台能够监测、量化并对自组织、血管化肿瘤球体(VTS)中药物诱导的效应进行排名。四种人类来源细胞群体的相互作用使得重建和研究TME组成及细胞间相互作用的复杂变化成为可能。该平台具有模块化特点,适用于肿瘤实体或基因操作。通过光片荧光显微镜记录治疗效果,并通过先进的图像分析程序将其转化为可处理的多参数数据集。该系统被证明具有强大的稳健性,检测间可靠性强。我们展示了该平台在并排评估针对TME的抗纤维化和抗血管生成药物方面的实用性。该平台的输出能够根据预计的治疗需求对甚至密切相关的候选药物进行差异评估。