Poster + Paper
10 October 2020 Surface-enhanced Raman scattering of secretory proteins from LO2 and HepG2
Author Affiliations +
Conference Poster
Abstract
During the development of tumors, some protein molecules, secreted proteins, are secreted, which are closely related to the proliferation, invasion and metastasis of malignant tumor cells. Therefore, the study of tumor cell secreted proteins not only helps to understand the molecular mechanism of tumorigenesis and development, but also helps to find new tumor markers for early screening of cancer and monitoring of high-risk populations. Surface-enhanced Raman spectroscopy (SERS) and partial least squares-support vector machine (PLS-SVM) data processing methods were used to characterize secreted proteins from human liver cancer cells HepG2 and normal human liver cells LO2 cells in this paper. The discriminative sensitivity and specificity of secreted proteins reach 100%, respectively. These results show that SERS technology combined with PLS-SVM data processing method can effectively distinguish normal cells from cancer cells and provide new ideas for finding biomarkers of cancer cells.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mengmeng Zheng, Siqi Gao, Yamin Lin, Yating Lin, Zufang Huang, Shusen Xie, Yun Yu, Juqiang Lin, Qiwen Wang, and Jianshu Xu "Surface-enhanced Raman scattering of secretory proteins from LO2 and HepG2", Proc. SPIE 11553, Optics in Health Care and Biomedical Optics X, 115531Q (10 October 2020); https://doi.org/10.1117/12.2573397
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KEYWORDS
Proteins

Cancer

Surface enhanced Raman spectroscopy

Tumors

Raman scattering

Liver cancer

Diagnostics

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