期刊
NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE
卷 12, 期 8, 页码 2475-2484出版社
ELSEVIER
DOI: 10.1016/j.nano.2016.07.014
关键词
Surface-enhanced Raman scattering; Hepatocellular carcinoma; Au@Ag nanorods; Serum metabolites; Cancer detection
资金
- National Natural Science Foundation of China [81230089]
- National S&T Major Project for Infectious Diseases Control [2012ZX10002003-004-009]
- Beijing Municipal Science & Technology Commission [Z161100000116040]
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. (C) 2016 Elsevier Inc. All rights reserved.
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