Premium
Label‐free liquid biopsy based on urine analysis using surface‐enhanced Raman spectroscopy for noninvasive gastric and breast cancer detection
Author(s) -
Lin Xueliang,
Wu Qiong,
Lin Jinyong,
Liu Xiaokun,
Jia Xianggang,
Peng Min,
Lin Duo,
Qiu Sufang,
Feng Shangyuan
Publication year - 2020
Publication title -
journal of raman spectroscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.748
H-Index - 110
eISSN - 1097-4555
pISSN - 0377-0486
DOI - 10.1002/jrs.5978
Subject(s) - breast cancer , cancer , urine , surface enhanced raman spectroscopy , raman spectroscopy , biopsy , liquid biopsy , linear discriminant analysis , medicine , cancer detection , pathology , oncology , artificial intelligence , raman scattering , computer science , physics , optics
Liquid biopsy is currently a nondestructive and convenient cancer screening method, which has attracted the attention of many researchers in the field of biomedicine. Moreover, the diagnostic applications of liquid biopsy based on surface‐enhanced Raman spectroscopy (SERS), as a candidate method, potentially offers opportunities for cancer detection. In this work, we mainly evaluated the influence of Au nanoparticles with different sizes on urine SERS signals and analyzed the urine SERS spectra obtained by gastric cancer patients ( n = 50), breast cancer patients ( n = 43), and healthy volunteers ( n = 48) through the principal component analysis combined linear discriminant analysis (PCA‐LDA). The detection sensitivity for identifying gastric cancer versus healthy, breast cancer versus healthy, and gastric cancer versus breast cancer was 90.0%, 96.0%, and 62.0%, respectively. And the corresponding diagnostic specificities for each combination were 93.8%, 93.8%, and 81.4%, respectively. These results show that urine SERS technology based on Au nanoparticles holds promising potential to be a rapid, noninvasive, and label‐free clinical tool for both gastric and breast cancer detection.