Metabolite profiling of human blood by surface-enhanced Raman spectroscopy for surgery assessment and tumor screening in breast cancer

• Published in: Analytical and bioanalytical chemistry Vol. 412; no. 7; pp. 1611 - 1618
• Main Authors: Lin, Duo, Wang, Yunyi, Wang, Tingyin, Zhu, Youzhi, Lin, Xueliang, Lin, Yao, Feng, Shangyuan
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2020; Springer; Springer Nature B.V
• Subjects: Algorithms; Analysis; Analytical Chemistry; Biochemistry; Blood; blood sampling; Breast cancer; breast neoplasms; Breast Neoplasms - blood; Breast Neoplasms - diagnosis; Breast Neoplasms - surgery; Cancer; Characterization and Evaluation of Materials; Chemistry; Chemistry and Materials Science; death; Diagnosis; Diagnostic systems; Early Detection of Cancer; Female; Food Science; Free surfaces; hematologic tests; Humans; Laboratory Medicine; Mammography; Mass Screening; Medical examination; Metabolites; Metal Nanoparticles - chemistry; Methods; Middle Aged; Monitoring/Environmental Analysis; Nanoparticles; nanosilver; patients; Peripheral blood; Principal Component Analysis; Raman spectroscopy; Research Paper; risk; screening; Sensitivity and Specificity; Silver; Silver - chemistry; Spectroscopy; Spectrum analysis; Spectrum Analysis, Raman - methods; Surgery; Tumors; volunteers; China; Surgery assessment; Blood analysis; Screening; Breast cancer; Silver nanoparticles; Surface-enhanced Raman spectroscopy
• ISSN: 1618-2642; 1618-2650; 1618-2650
• DOI: 10.1007/s00216-020-02391-4

Mammography, a standard screening method for breast cancer, is effective for reducing the rate of death; however, it suffers from frequent false positive alarm and radiation risk. Besides, surgery treatment has a vital impact on the clinical outcomes of breast cancer, offering enormous benefits for breast cancer care and management. In this work, we analyzed the peripheral blood sample from breast cancer patients with pre- and post-surgery and healthy volunteers using label-free surface-enhanced Raman spectroscopy technology based on silver nanoparticles. Results showed that distinct patterns of blood belonging to specific subjects could be profiled, and corresponding accuracies of 95% and 100% were achieved by multivariate diagnostic algorithm for pre-surgery vs. post-surgery and pre-surgery vs. normal groups, respectively, providing a unique blood analysis method for surgery evaluation as well as tumor screening in breast cancer. Graphical abstract