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A multiparametric fluorescent visualization approach for detecting drug resistance in living cancer cells

Zhilan Zhou,Ya Wang,Zhengtao Shao,Guixi Zhang,Hang Jiang,Yiyuan Tang,Zening Huang,Yingdi Zhu,Juan Li

Drug resistance is a worldwide health care crisis which impedes disease treatment and increases financial burden, especially for its multifactorial nature and high complexity. Herein, we developed a multiparametric approach to visualize and detect drug resistance in living cancer cells, through the combination of DNA-templated covalent protein labeling strategy and fluorescent resonance energy transfer technique. Gefitinib resistance in non-small cell lung cancer caused by mesenchymal-epidermal transition factor (Met) overexpression and hyperactivation was investigated as a proof-of-concept. Unlike the traditional single-factor investigation, the proposed approach evaluated the contribution of three important parameters towards the resistance, including the changes of Met expression level, the homodimerization of Met with itself and the heterodimerization of Met with epidermal growth factor receptor (EGFR). A multiple regression model based on these three parameters was tentatively established for evaluation of the resistance level of laboratory-developed resistant cells and evaluation of the resistance level of patient-derived cells. Such an approach facilitates a quick identification of a drug resistance, to evaluate not only the resistance level but also the resistance mechanism.