Kothadiya Siddhant, Cutshaw Gabriel, Uthaman Saji, Hassan Nora, Sahoo Dipak Kumar, Wickham Hannah, Quam Elizabeth, Allenspach Karin, Mochel Jonathan P, Bardhan Rizia
Department of Chemical and Biological Engineering, Iowa State University, Ames, Iowa 50011, United States.
Nanovaccine Institute, Iowa State University, Ames, Iowa 50012, United States.
ACS Appl Mater Interfaces. 2024 Sep 25;16(38):50267-50281. doi: 10.1021/acsami.4c08629. Epub 2024 Sep 16.
assessment of drug response with conventional cell viability assays remains the standard practice for guiding initial therapeutic choices. However, such ensemble approaches fail to capture heterogeneities in treatment response and cannot identify early markers of response. Here, we leverage Raman spectroscopy (RS) as an accurate, low-cost, extraction-free, and label-free approach to track metabolic changes in cancer cells, spheroids, and organoids in response to cisplatin treatment. We identified 12 statistically significant metabolites in cells and 19 metabolites in spheroids and organoids as a function of depth. We show that the cisplatin treatment of 4T1 cells and spheroids results in a shift in metabolite levels; metabolites including nucleic acids such as DNA, 783 cm with = 0.00021 for cells; = 0.02173 for spheroids, major amino acids such as threonine, 1338 cm with = 0.00045 for cells; = 0.01022 for spheroids, proteins such as amide III, 1248 cm with = 0.00606 for cells; = 0.00511 for spheroids serve as early predictors of response. Our RS findings were also applicable to canine-derived organoids, showing spatial variations in metabolic changes as a function of organoid depth in response to cisplatin. Further, the metabolic pathways such as tricarboxylic acid (TCA)/citric acid cycle and glyoxylate and dicarboxylate metabolism that drive drug response showed significant differences based on organoid depth, replicating the heterogeneous treatment response seen in solid tumors where there is a difference from the periphery to the tumor core. Our study showcases the versatility of RS as a predictive tool for treatment response applicable from cells to organotypic cultures, that has the potential to decrease animal burden and readout time for preclinical drug efficacy.
用传统的细胞活力测定法评估药物反应仍然是指导初始治疗选择的标准做法。然而,这种整体方法无法捕捉治疗反应中的异质性,也无法识别反应的早期标志物。在这里,我们利用拉曼光谱(RS)作为一种准确、低成本、无需提取和无标记的方法,来追踪癌细胞、球体和类器官对顺铂治疗的代谢变化。我们确定了细胞中12种具有统计学意义的代谢物以及球体和类器官中19种随深度变化的代谢物。我们表明,顺铂处理4T1细胞和球体导致代谢物水平发生变化;这些代谢物包括核酸如DNA,细胞中在783 cm处的变化率为0.00021;球体中为0.02173,主要氨基酸如苏氨酸,细胞中在1338 cm处的变化率为0.00045;球体中为0.01022,蛋白质如酰胺III,细胞中在1248 cm处的变化率为0.00606;球体中为0.00511,这些可作为反应的早期预测指标。我们的拉曼光谱研究结果也适用于犬源类器官,显示出顺铂处理后代谢变化随类器官深度的空间差异。此外,驱动药物反应的代谢途径如三羧酸(TCA)/柠檬酸循环以及乙醛酸和二羧酸代谢,根据类器官深度显示出显著差异,这再现了实体瘤中从周边到肿瘤核心存在差异的异质性治疗反应。我们的研究展示了拉曼光谱作为一种预测治疗反应的工具的多功能性,它适用于从细胞到器官型培养物,有可能减少临床前药物疗效研究中的动物负担和读数时间。