Surface-enhanced Raman spectroscopy of blood serum based on gold nanoparticles for tumor stages detection and histologic grades classification of oral squamous cell carcinoma

International Journal of Nanomedicine
Lili XueMin Wang

Abstract

Tumor stages detection and histologic grades classification are essential for the diagnosis and prognosis of oral squamous cell carcinoma (OSCC). In this research, we apply surface-enhanced Raman spectroscopy (SERS) of blood serum to detect the tumor stages and histologic classification of OSCC. According to TNM classification and World Health Organization histologic grading system, the blood serum samples were collected from a total of 135 OSCC patients in the different tumor stages and histologic grades. Then the SERS spectra of serum samples from OSCC patients were diagnosed and classified into different groups using principal component analysis (PCA) and linear discriminant analysis (LDA) based on the tumor sizes, lymph node metastasis and histologic grades. The SERS spectra of blood serum samples have shown the distinct changes and differences compared with each other, which were assigned to the biomolecule alterations (nucleic acids, proteins, lipids, and so on) in blood serums. And all accuracies of detection and classification reached above 85%. This study demonstrated that the SERS based on blood serum test had an enormous potential to carry out the preoperative assessment and prediction of the OSCC patients in differe...Continue Reading

Citations

Oct 1, 2020·Chemical Society Reviews·Nicole M Ralbovsky, Igor K Lednev
Dec 1, 2020·World Journal of Gastrointestinal Oncology·Hiroaki ItoYumi Kamijo
Nov 13, 2020·Nanomedicine : Nanotechnology, Biology, and Medicine·Lu XiaDongmei Pei
Aug 29, 2021·Pharmaceuticals·Gustavo MoraesWalter L Siqueira

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Methods Mentioned

BETA
Raman spectroscopy
scanning electron microscopy
surface plasmon resonance

Software Mentioned

WiRE
LABSPEC
PCA
OriginPro
LDA

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