Zhang Xiaodan, Cheng Tianhong, Cho Ellie, Lu Wenjia, Denoyer Delphine, McMillan Paul, Shobhana Kalyan, Varshney Swati, Williamson Nicholas A, Stewart Alastair
Department of Biochemistry and Pharmacology, The University of Melbourne, VIC, Australia; ARC Centre for Personalised Therapeutics Technologies, Melbourne, VIC, Australia.
Department of Biochemistry and Pharmacology, The University of Melbourne, VIC, Australia; The Biological Optical Microscopy Platform (BOMP), The University of Melbourne, VIC, Australia.
Pharmacol Res. 2024 Dec;210:107519. doi: 10.1016/j.phrs.2024.107519. Epub 2024 Nov 26.
Many drugs have been discontinued during phase II/III breast cancer clinical trials due to lack of clinical efficacy, indicating shortcomings in predictive value of preclinical data. Nutrient availability in the tumour cell microenvironment and the dimensionality of in vitro tumour cells likely impact on drug responsiveness. Global proteomics experiments were conducted to assess the impact of nutrient availability and dimensionality of culture. Protein set enrichment analyses identified "pathways in cancer", "focal adhesion" and "ECM receptor in interaction" related to cell culture dimensionality in MDA-MB-231 cells. In MCF-7 cells, 4 pathways were influenced by medium composition, and 2 pathways were influenced by cell culture dimensionality (2D vs. 3D). These pathways were also identified using KEGG analyses. Eight drugs were selected for investigation according to the differential expression of their putative or known target proteins. The influence of medium composition on drug effectiveness was explored using the "Melbourne Medium" (MM), developed to have nutritionally physiological levels of metabolites as compared with conventional (hyper-nutritional) cell culture medium (CM). The influence of dimensionality on drug effectiveness was also explored, using an innovative 3D viability assessment combining automated confocal microscopy and image analysis. Dimensionality of culture appeared to have a greater influence on the proteome and drug effects than variation in nutrient levels. The number of differentially expressed proteins in the different media was greater in 2D than 3D. We conclude that the risk of qualifying inactive compounds in preclinical assessment may be mitigated using additional models incorporating physiological media and 3-dimensionality.
在II/III期乳腺癌临床试验中,许多药物因缺乏临床疗效而被停用,这表明临床前数据的预测价值存在缺陷。肿瘤细胞微环境中的营养物质可用性以及体外肿瘤细胞的维度可能会影响药物反应性。进行了全局蛋白质组学实验,以评估营养物质可用性和培养维度的影响。蛋白质集富集分析确定了与MDA-MB-231细胞中细胞培养维度相关的“癌症通路”、“粘着斑”和“细胞外基质受体相互作用”。在MCF-7细胞中,4条通路受培养基成分影响,2条通路受细胞培养维度(2D与3D)影响。这些通路也通过KEGG分析得以确定。根据其假定或已知靶蛋白的差异表达选择了8种药物进行研究。使用“墨尔本培养基”(MM)探索培养基成分对药物有效性的影响,与传统(高营养)细胞培养基(CM)相比,MM的代谢物营养水平具有生理特性。还使用结合自动共聚焦显微镜和图像分析的创新3D活力评估方法,探索维度对药物有效性的影响。培养维度似乎比营养水平变化对蛋白质组和药物效果的影响更大。不同培养基中差异表达蛋白的数量在2D中比3D中更多。我们得出结论,使用包含生理培养基和三维结构的额外模型,可能会降低临床前评估中使无活性化合物合格的风险。