Logic gate-driven dual-index balanced visualization strategy for tumor metastasis diagnosis

Pengfei Yu; Weiwei Chen; Li Ge; Jingquan Fang; Xingmao Huang; Hui Tong; Zikang Chen; Caiping Ding; Youju Huang

doi:10.1016/j.bios.2023.115556

Logic gate-driven dual-index balanced visualization strategy for tumor metastasis diagnosis

Biosens Bioelectron. 2023 Oct 1:237:115556. doi: 10.1016/j.bios.2023.115556. Epub 2023 Jul 28.

Authors

Pengfei Yu¹, Weiwei Chen², Li Ge³, Jingquan Fang¹, Xingmao Huang¹, Hui Tong⁴, Zikang Chen², Caiping Ding⁵, Youju Huang⁶

Affiliations

¹ 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.
² 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.
³ 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; Zhengjiang Zhongwei Medical Research Center, Department of Research and Development, Hangzhou, Zhejiang, 310020, China. Electronic address: 2018111202@mail.hfut.edu.cn.
⁴ Zhengjiang Zhongwei Medical Research Center, Department of Research and Development, Hangzhou, Zhejiang, 310020, China.
⁵ 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. Electronic address: cpding@hznu.edu.cn.
⁶ 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. Electronic address: yjhuang@hznu.edu.cn.

PMID: 37536227
DOI: 10.1016/j.bios.2023.115556

Abstract

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.

Keywords: Balanced-etching kit; Dual-index; Logic gate; Tumor metastasis diagnosis; Visualization strategy.