Colorectal cancer detection by gold nanoparticle based surface-enhanced Raman spectroscopy of blood serum and statistical analysis
Colorectal cancer detection by gold nanoparticle based surface-enhanced Raman spectroscopy of blood serum and statistical analysis
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DOI：
10.1364/oe.19.013565
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发表时间：
2011-07-04
期刊：
影响因子：
3.8
通讯作者：
Chen, Rong
中科院分区：
文献类型：
--
作者：
Lin, Duo;Feng, Shangyuan;Chen, Rong
本文介绍了利用金纳米粒子表面增强拉曼光谱（Sers）技术获取血清生化信息用于大肠癌无创检测的能力。对两组血清样品进行Sers测量：一组来自病理证实的结直肠癌患者（n = 38），另一组来自健康志愿者（对照受试者，n = 45）。在所测量的Sers光谱中的拉曼谱带的初步归属表明有趣的癌症特异性生物分子的变化，包括核酸的相对量的增加，糖和蛋白质含量的百分比的减少，在大肠癌患者的血清中相比，健康受试者。采用经验方法和多元统计技术，包括主成分分析（PCA）和线性判别分析（LDA），以开发有效的诊断算法，对正常和结直肠癌血清之间的Sers光谱分类。基于腺嘌呤在725 cm（-1）处的Sers峰强度与酪氨酸在638 cm（-1）处的峰强度之比的经验诊断算法实现了68.4%的诊断灵敏度和95.6%的特异性，而基于PCA-LDA的诊断算法的诊断敏感性为97.4%，特异性为100用于将癌性样本与正常样本分离。受试者工作特征（ROC）曲线进一步证实了基于PCA-LDA技术的诊断算法的有效性。这项探索性研究的结果表明，基于金纳米颗粒的Sers血清分析结合PCA-LDA在非侵入性检测结直肠癌方面具有巨大的潜力。(C)2011年美国光学学会
The capabilities of using gold nanoparticle based surface-enhanced Raman spectroscopy (SERS) to obtain blood serum biochemical information for non-invasive colorectal cancer detection were presented in this paper. SERS measurements were performed on two groups of blood serum samples: one group from patients (n = 38) with pathologically confirmed colorectal cancer and the other group from healthy volunteers (control subjects, n = 45). Tentative assignments of the Raman bands in the measured SERS spectra suggested interesting cancer specific biomolecular changes, including an increase in the relative amounts of nucleic acid, a decrease in the percentage of saccharide and proteins contents in the blood serum of colorectal cancer patients as compared to that of healthy subjects. Both empirical approach and multivariate statistical techniques, including principal components analysis (PCA) and linear discriminant analysis (LDA) were employed to develop effective diagnostic algorithms for classification of SERS spectra between normal and colorectal cancer serum. The empirical diagnostic algorithm based on the ratio of the SERS peak intensity at 725 cm(-1) for adenine to the peak intensity at 638 cm(-1) for tyrosine achieved a diagnostic sensitivity of 68.4% and specificity of 95.6%, whereas the diagnostic algorithms based on PCA-LDA yielded a diagnostic sensitivity of 97.4% and specificity of 100% for separating cancerous samples from normal samples. Receiver operating characteristic (ROC) curves further confirmed the effectiveness of the diagnostic algorithm based on PCA-LDA technique. The results from this exploratory study demonstrated that gold nanoparticle based SERS serum analysis combined with PCA-LDA has tremendous potential for the non-invasive detection of colorectal cancers. (C) 2011 Optical Society of America