Department of Laboratory Medicine, 74551Fujian Medical University, Fuzhou, China.
Department of Hematology, Fujian Institute of Hematology, Fujian Provincial Key Laboratory on Hematology, 74551Fujian Medical University Union Hospital, Fuzhou, China.
Appl Spectrosc. 2021 Oct;75(10):1296-1304. doi: 10.1177/00037028211024581. Epub 2021 Jun 23.
Multidrug resistance is highly associated with poor prognosis of chronic myeloid leukemia. This work aims to explore whether the laser tweezers Raman spectroscopy (LTRS) could be practical in separating adriamycin-resistant chronic myeloid leukemia cells K562/adriamycin from its parental cells K562, and to explore the potential mechanisms. Detection of LTRS initially reflected the spectral differences caused by chemoresistance including bands assigned to carbohydrates, amino acid, protein, lipids, and nucleic acid. In addition, principal components analysis as well as the classification and regression trees algorithms showed that the specificity and sensitivity were above 90%. Moreover, the band data-based classification and regression tree model and receiver operating characteristic curve further determined some important bands and band intensity ratios to be reliable indexes in discriminating K562 chemoresistance status. Finally, we highlighted three metabolism pathways correlated with chemoresistance. This work demonstrates that the label-free LTRS analysis combined with multivariate statistical analyses have great potential to be a novel analytical strategy at the single-cell level for rapid evaluation of the chemoresistance status of K562 cells.
多药耐药性与慢性髓性白血病的预后不良高度相关。本工作旨在探讨激光镊子拉曼光谱（LTRS）是否可用于分离阿霉素耐药慢性髓性白血病细胞 K562/阿霉素与其亲本细胞 K562，并探讨其潜在机制。LTRS 的初步检测反映了化学抗性引起的光谱差异，包括分配给碳水化合物、氨基酸、蛋白质、脂质和核酸的带。此外，主成分分析以及分类和回归树算法表明，特异性和灵敏度均高于 90%。此外，基于波段数据的分类和回归树模型和接收者操作特性曲线进一步确定了一些重要的波段和波段强度比，作为区分 K562 化疗耐药状态的可靠指标。最后，我们强调了与化疗耐药性相关的三个代谢途径。这项工作表明，无标记的 LTRS 分析结合多元统计分析具有在单细胞水平上快速评估 K562 细胞化疗耐药状态的巨大潜力，是一种新的分析策略。
