Quantitative and specific detection of exosomal miRNA using surface-enhanced Raman spectroscopy for accurate diagnosis of breast cancer

2020 ◽  
Author(s):  
Sang Jun Sim
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Surface Enhanced Raman Spectroscopy ◽  
Accurate Diagnosis ◽  
Specific Detection ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Exosomal Mirna

Breast cancer detection based on serum sample surface enhanced Raman spectroscopy

2016 ◽  
Vol 31 (7) ◽  
pp. 1317-1324 ◽  
Author(s):  
Enrique Vargas-Obieta ◽  
Juan Carlos Martínez-Espinosa ◽  
Brenda Esmeralda Martínez-Zerega ◽  
Luis Felipe Jave-Suárez ◽  
Adriana Aguilar-Lemarroy ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Serum Sample ◽  
Cancer Detection ◽  
Sample Surface ◽  
Surface Enhanced Raman Spectroscopy ◽  
Breast Cancer Detection ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Diagnosis of breast cancer by analysis of sialic acid concentrations in human saliva by surface-enhanced Raman spectroscopy of silver nanoparticles

Nano Research ◽  
2017 ◽  
Vol 10 (11) ◽  
pp. 3662-3670 ◽  
Author(s):  
Aida Hernández-Arteaga ◽  
José de Jesús Zermeño Nava ◽  
Eleazar Samuel Kolosovas-Machuca ◽  
J. Jesús Velázquez-Salazar ◽  
Ekaterina Vinogradova ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Silver Nanoparticles ◽  
Sialic Acid ◽  
Surface Enhanced Raman Spectroscopy ◽  
Human Saliva ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Screening and Postoperative Evaluation of Breast Cancer Based on Serum Proteins Analysis Using Label-Free Surface-Enhanced Raman Spectroscopy Technology

2020 ◽  
Vol 12 (7) ◽  
pp. 901-908
Author(s):  
Xiaokun Liu ◽  
Xueliang Lin ◽  
Zongwei Huang ◽  
Youzhi Zhu ◽  
Min Peng ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Serum Protein ◽  
Surface Enhanced Raman Spectroscopy ◽  
Screening Methods ◽  
Epithelial Tissue ◽  
Postoperative Evaluation ◽  
Post Surgery ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Breast cancer is a malignant tumor of breast epithelial tissue. Early diagnosis and postoperative evaluation of breast cancer are critical to improve the survival rate. The current main screening methods are mammography and computerized tomography (CT), however, these methods suffer from false positives, over-diagnosis and radiation risk. Herein, unlabeled surface-enhanced Raman spectroscopy (SERS) technology combined with silver nanoparticles that was used to measure and analyze peripheral serum protein samples from patients of breast cancer for preoperation, postoperation and normal subjects. Results showed that there were significant differences in the serum protein SERS spectra among three groups due to changes in certain biochemical compositions related to breast cancer transformation. Moreover, diagnostic sensitivity, based on principal component analysis combined with linear discriminant analysis (PCA-LDA) for pre-surgery versus post-surgery, post-surgery versus normal and pre-surgery versus normal were 96.7%, 53.3%, and 100%, respectively, and the diagnostic specificities were 96.7%, 46.7%, and 96.7%, respectively. Therefore, serum protein SERS combined with PCA-LDA analysis holds promising potential as a novel strategy for early screening and postoperative evaluation of breast cancer.

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