Rowland Lauren, Smart Brandon, Brown Anthony, Dettorre Gino M, Gocho Yoshihiro, Hunt Jeremy, Yang Wenjian, Yoshimura Satoshi, Reyes Noemi, Du Guoqing, John August, Maxwell Dylan, Stock Wendy, Kornblau Steven, Relling Mary V, Inaba Hiroto, Pui Ching-Hon, Bourquin Jean-Pierre, Karol Seth E, Mullighan Charles G, Evans William E, Yang Jun J, Crews Kristine R
Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN, USA.
Hematopoiesis and Hematological Malignancies Program, University of Chicago, Chicago, IL, USA.
Bio Protoc. 2023 Aug 5;13(15):e4731. doi: 10.21769/BioProtoc.4731.
Resistance of acute lymphoblastic leukemia (ALL) cells to chemotherapy, whether present at diagnosis or acquired during treatment, is a major cause of treatment failure. Primary ALL cells are accessible for drug sensitivity testing at the time of new diagnosis or at relapse, but there are major limitations with current methods for determining drug sensitivity ex vivo. Here, we describe a functional precision medicine method using a fluorescence imaging platform to test drug sensitivity profiles of primary ALL cells. Leukemia cells are co-cultured with mesenchymal stromal cells and tested with a panel of 40 anti-leukemia drugs to determine individual patterns of drug resistance and sensitivity ("pharmacotype"). This imaging-based pharmacotyping assay addresses the limitations of prior ex vivo drug sensitivity methods by automating data analysis to produce high-throughput data while requiring fewer cells and significantly decreasing the labor-intensive time required to conduct the assay. The integration of drug sensitivity data with genomic profiling provides a basis for rational genomics-guided precision medicine. Key features Analysis of primary acute lymphoblastic leukemia (ALL) blasts obtained at diagnosis from bone marrow aspirate or peripheral blood. Experiments are performed ex vivo with mesenchymal stromal cell co-culture and require four days to complete. This fluorescence imaging-based protocol enhances previous ex vivo drug sensitivity assays and improves efficiency by requiring fewer primary cells while increasing the number of drugs tested to 40. It takes approximately 2-3 h for sample preparation and processing and a 1.5-hour imaging time. Graphical overview.
急性淋巴细胞白血病(ALL)细胞对化疗的耐药性,无论在诊断时就已存在还是在治疗过程中获得,都是治疗失败的主要原因。原发性ALL细胞在新诊断时或复发时可用于药物敏感性测试,但目前用于体外确定药物敏感性的方法存在重大局限性。在此,我们描述了一种使用荧光成像平台测试原发性ALL细胞药物敏感性谱的功能精准医学方法。白血病细胞与间充质基质细胞共培养,并用一组40种抗白血病药物进行测试,以确定个体的耐药性和敏感性模式(“药物型”)。这种基于成像的药物分型检测方法通过自动化数据分析来产生高通量数据,从而解决了先前体外药物敏感性方法的局限性,同时所需细胞数量更少,并显著减少了进行该检测所需的劳动密集型时间。将药物敏感性数据与基因组分析相结合为合理的基因组引导精准医学提供了基础。关键特征 分析从骨髓抽吸物或外周血诊断时获得的原发性急性淋巴细胞白血病(ALL)原始细胞。实验在体外与间充质基质细胞共培养下进行,需要四天完成。这种基于荧光成像的方案改进了先前的体外药物敏感性检测,通过减少原代细胞数量同时将测试药物数量增加到40种来提高效率。样品制备和处理大约需要2 - 3小时,成像时间为1.5小时。图形概述。