Yu Pengfei, Chen Weiwei, Ge Li, Fang Jingquan, Huang Xingmao, Tong Hui, Chen Zikang, Ding Caiping, Huang Youju
The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer, Chinese Academy of Sciences, Department of Gastric Surgery, Hangzhou, Zhejiang, 310022, China.
Hangzhou Normal University, College of Material Chemistry and Chemical Engineering, Key Laboratory of Organosilicon Chemistry and Material Technology, Ministry of Education, Key Laboratory of Organosilicon Material Technology, Hangzhou, Zhejiang, 311121, China.
Biosens Bioelectron. 2023 Oct 1;237:115556. doi: 10.1016/j.bios.2023.115556. Epub 2023 Jul 28.
Exfoliated tumor cells are integral to malignant tumors diagnosis. The process of clinical cytology of exfoliation involves several complex steps that require at least two days of preparation. Here, we develop a balanced-etching visual kit based on concentration differences of Glutathione/Glucose (GSH/Glu) to distinguish normal from exfoliated tumor cells rapidly and accurately. The balanced-etching visualization kit can be used to obtain color cards and screen exfoliated tumor cells initially (within 10 min). Furthermore, by utilizing logic gates and machine learning algorithms for RGB extraction of the color card obtained from the kit, accurate screening of exfoliated tumor cells is achieved. Finally, a series of clinical tumor samples, such as urine, pleural fluids, ascites, and gastric fluids, have been validated. With effective experimental methods, accurate disease information, and appropriate therapeutic programs, the novel diagnostic strategy is expected to promote precision medicine.
脱落肿瘤细胞对于恶性肿瘤的诊断至关重要。脱落临床细胞学检查过程涉及几个复杂步骤，至少需要两天的准备时间。在此，我们基于谷胱甘肽/葡萄糖（GSH/Glu）浓度差异开发了一种平衡蚀刻可视化试剂盒，以快速、准确地区分正常细胞与脱落肿瘤细胞。该平衡蚀刻可视化试剂盒可用于获取色卡并初步筛选脱落肿瘤细胞（10分钟内）。此外，通过利用逻辑门和机器学习算法对试剂盒获得的色卡进行RGB提取，实现了对脱落肿瘤细胞的准确筛选。最后，对一系列临床肿瘤样本，如尿液、胸水、腹水和胃液进行了验证。凭借有效的实验方法、准确的疾病信息和适当的治疗方案，这种新型诊断策略有望推动精准医学的发展。
