Identification of circulating tumour cells in nasopharyngeal carcinoma based on microconfocal Raman spectroscopy with multi-target aptamer microfluidics
Objective To establish a method for the identification of nasopharyngeal carcinoma circulating tumor cells based on microconfocal Raman spectroscopy,in order to realize the non-contact and marker-free detection of nasopharyngeal carcinoma circulating tumor cells.Methods Human T lymphocytic leukemia cell line Jurkat and nasopharyngeal carcinoma cell line Sune1 were cultured in vitro,and single cells were identified and affinity captured by nanomicronic chip technology assembled by EpCAM,CD44,EGFR and vimentin aptamer.The single cells were identified by microconfocal Raman spectroscopy to obtain single cell Raman spectroscopy.Two machine learning algorithms,support vector machine and linear discriminant analysis,were used to construct a classifier to model and analyze single-cell Raman spectra.Results Single-cell Raman spectra of 474 Jurkat cells and Sune1 cells were collected.Peak location analysis results showed that the contents of adenine,thymine and guanine in Sune1 cells decreased significantly compared with Jurkat cells.The contents of hydroxyproline,protein and lipids increased significantly,and the differences were statistically significant.Linear discriminant analysis had a high prediction accuracy,which could effectively distinguish the two types of cells,and the prediction accuracy was as high as 98.31%.Conclusion Based on microconfocal Raman spectroscopy and machine learning algorithms,this study established a method that may be suitable for the identification of nasopharyngeal carcinoma circulating tumor cells,which has a positive effect on the clinical minimally invasive diagnosis of nasopharyngeal carcinoma.
nasopharyngeal carcinomacirculating tumor cellsmicroconfocal raman spectroscopymicrofluidic chipmachine learningseparation and identification
万方数据
维普
