TY - JOUR
T1 - Non-invasive detection of hepatocellular carcinoma serum metabolic profile through surface-enhanced Raman spectroscopy
AU - Xiao, Rui
AU - Zhang, Xuhui
AU - Rong, Zhen
AU - Xiu, Bingshui
AU - Yang, Xiqin
AU - Wang, Chongwen
AU - Hao, Wende
AU - Zhang, Qi
AU - Liu, Zhiqiang
AU - Duan, Cuimi
AU - Zhao, Kai
AU - Guo, Xu
AU - Fan, Yawen
AU - Zhao, Yanfeng
AU - Johnson, Heather
AU - Huang, Yan
AU - Feng, Xiaoyan
AU - Xu, Xiaohong
AU - Zhang, Heqiu
AU - Wang, Shengqi
N1 - Publisher Copyright:
© 2016 Elsevier Inc.
PY - 2016/11/1
Y1 - 2016/11/1
N2 - The present study aims to identify distinctive Raman spectrum metabolic peaks to predict hepatocellular carcinoma (HCC). We performed a label-free, non-invasive surface-enhanced Raman spectroscopy (SERS) test on 230 serum samples including 47 HCC, 60 normal controls (NC), 68 breast cancer (BC) and 55 lung cancer (LC) by mixing Au@AgNRs with serum directly. Based on the observed SERS spectra, discriminative metabolites including tryptophan, phenylalanine, and etc. were found in HCC, when compared with BC, LC, and NC (P < 0.05 in all). Common metabolites-proline, valine, adenine and thymine were found in HCC, BC and LC with compared to NC group (P < 0.05). Importantly, Raman spectra of HCC serum biomarker AFP were firstly detected to analyze the HCC prominent peak. Orthogonal partial least squares discriminant analysis was adopted to assess the diagnostic accuracy; area under curve value of HCC is 0.991. This study provides new insights into the HCC metabolites detection through Raman spectroscopy.
AB - The present study aims to identify distinctive Raman spectrum metabolic peaks to predict hepatocellular carcinoma (HCC). We performed a label-free, non-invasive surface-enhanced Raman spectroscopy (SERS) test on 230 serum samples including 47 HCC, 60 normal controls (NC), 68 breast cancer (BC) and 55 lung cancer (LC) by mixing Au@AgNRs with serum directly. Based on the observed SERS spectra, discriminative metabolites including tryptophan, phenylalanine, and etc. were found in HCC, when compared with BC, LC, and NC (P < 0.05 in all). Common metabolites-proline, valine, adenine and thymine were found in HCC, BC and LC with compared to NC group (P < 0.05). Importantly, Raman spectra of HCC serum biomarker AFP were firstly detected to analyze the HCC prominent peak. Orthogonal partial least squares discriminant analysis was adopted to assess the diagnostic accuracy; area under curve value of HCC is 0.991. This study provides new insights into the HCC metabolites detection through Raman spectroscopy.
KW - Au@Ag nanorods
KW - Cancer detection
KW - Hepatocellular carcinoma
KW - Serum metabolites
KW - Surface-enhanced Raman scattering
UR - http://www.scopus.com/inward/record.url?scp=84984653598&partnerID=8YFLogxK
U2 - 10.1016/j.nano.2016.07.014
DO - 10.1016/j.nano.2016.07.014
M3 - Article
C2 - 27520725
AN - SCOPUS:84984653598
SN - 1549-9634
VL - 12
SP - 2475
EP - 2484
JO - Nanomedicine: Nanotechnology, Biology, and Medicine
JF - Nanomedicine: Nanotechnology, Biology, and Medicine
IS - 8
ER -
