Non-invasive detection of hepatocellular carcinoma serum metabolic profile through surface-enhanced Raman spectroscopy

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• 作者：Rui Xiao ; PhD^a ; ¹ ; Xuhui Zhang ; PhD^b ; ¹ ; Zhen Rong ; PhD^a ; Bingshui Xiu ; PhD^b ; Xiqin Yang ; MSc^b ; Chongwen Wang ; MSc^a ; Wende Hao ; MMedSc^c ; Qi Zhang ; MSc^d ; Zhiqiang Liu ; PhD^b ; Cuimi Duan^b ; Kai Zhao ; MMedSc^e ; Xu Guo ; MMedSc^f ; Yawen Fan ; MSc^b ; Yanfeng Zhao ; MMedSc^b ; Heather Johnson ; PhD^g ; Yan Huang ; MD^c ; Xiaoyan Feng ; PhD^b ; ^{xyfeng2002@126.com" class="auth_mail" title="E-mail the corresponding author} ; Xiaohong Xu ; MMedSc^h ; ^{zjhzxxh@163.com" class="auth_mail" title="E-mail the corresponding author} ; Heqiu Zhang ; MMedSc^b ; ^{zhangheqiu2004@126.com" class="auth_mail" title="E-mail the corresponding author} ; Shengqi Wang ; PhD^a ; ^{sqwang@bmi.ac.cn" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Surface-enhanced Raman scattering ; Hepatocellular carcinoma ; Au@Ag nanorods ; Serum metabolites ; Cancer detection
• 刊名：Nanomedicine: Nanotechnology, Biology and Medicine
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：12
• 期：8
• 页码：2475-2484
• 全文大小：1336 K

文摘

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.