Label-free diagnosis of lung cancer with tissue-slice surface-enhanced Raman spectroscopy and statistical analysis.

Authors:
Kun Zhang
Kun Zhang
College of Life Sciences
China
Chunyan Hao
Chunyan Hao
Shandong University School of Medicine
China
Yanyan Huo
Yanyan Huo
School of Physics and Electronics
Jabalpur | India
Baoyuan Man
Baoyuan Man
Shandong Normal University
China
Dr. Chao Zhang, PhD
Dr. Chao Zhang, PhD
Beijing Institute of Basic Medical Sciences
Beijing | China
Cheng Yang
Cheng Yang
State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy
China
Mei Liu
Mei Liu
Artificial Liver Center
China
Chuansong Chen
Chuansong Chen
Shandong University
China

Lasers Med Sci 2019 Apr 13. Epub 2019 Apr 13.

Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, School of Physics and Electronics, Shandong Normal University, Jinan, 250014, China.

Despite the rapid development of medical science, the diagnosis of lung cancer is still quite challenging. Due to the ultrahigh detection sensitivity of surface-enhanced Raman spectroscopy (SERS), SERS has a broad application prospect in biomedicine, especially in the field of tumor blood detection. Although Raman spectroscopy can diagnose lung cancer through tissue slices, its weak cross sections are problematic. In this study, silver nanoparticles (AgNPs) were added to the surface of lung tissue slices to enhance the Raman scattering signals of biomolecules. The electromagnetic field distribution of AgNPs prepared was simulated using the COMSOL software. SERS obtained from the slices reflected the difference in biochemical molecules between normal (n = 23) and cancerous (n = 23) lung tissues. Principal component-linear discriminate analysis (PCA-LDA) was utilized to classify lung cancer and healthy lung tissues. The receiver operating characteristic curve gave the sensitivity (95.7%) and specificity (95.7%) of the PCA-LDA method. This study sheds new light on the general applicability of SERS analysis of tissue slices in clinical trials.

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April 2019
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References

(Supplied by CrossRef)
Article in Radiology
RE Bird et al.
Radiology 1992
Article in J Natl Cancer I
A Berrington de Gonzalez et al.
J Natl Cancer I 2009
Article in Talanta
A Kudelski et al.
Talanta 2008
Article in ACS Appl Mater Inter
J Shao et al.
ACS Appl Mater Inter 2015
Article in Sensor Actuat B Chem
Z Li et al.
Sensor Actuat B Chem 2018
Article in Opt Express
C Zhang et al.
Opt Express 2015
Article in Nano Lett
X Huang et al.
Nano Lett 2007
Article in Analyst
D Petersen et al.
Analyst 2017
Article in Anal Chem
H Zhou et al.
Anal Chem 2015
Article in Cancer Res
X Wang et al.
Cancer Res 2011
Article in Analyst
N Dina et al.
Analyst 2017

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