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调制拉曼光谱法增强尿液样本中膀胱肿瘤细胞的识别。

Modulated Raman spectroscopy for enhanced identification of bladder tumor cells in urine samples.

机构信息

University of St Andrews, SUPA-School of Physics and Astronomy, North Haugh, St Andrews, United Kingdom.

出版信息

J Biomed Opt. 2011 Mar;16(3):037002. doi: 10.1117/1.3556722.

DOI:10.1117/1.3556722
PMID:21456875
Abstract

Standard Raman spectroscopy (SRS) is a noninvasive technique that is used in the biomedical field to discriminate between normal and cancer cells. However, the presence of a strong fluorescence background detracts from the use of SRS in real-time clinical applications. Recently, we have reported a novel modulated Raman spectroscopy (MRS) technique to extract the Raman spectra from the background. In this paper, we present the first application of MRS to the identification of human urothelial cells (SV-HUC-1) and bladder cancer cells (MGH) in urine samples. These results are compared to those obtained by SRS. Classification using the principal component analysis clearly shows that MRS allows discrimination between Raman spectra of SV-HUC-1 and MGH cells with high sensitivity (98%) and specificity (95%). MRS is also used to distinguish between SV-HUC-1 and MGH cells after exposure to urine for up to 6 h. We observe a marked change in the MRS of SV-HUC-1 and MGH cells with time in urine, indicating that the conditions of sample collection will be important for the application of this methodology to clinical urine samples.

摘要

标准拉曼光谱(SRS)是一种非侵入性技术,用于生物医学领域以区分正常细胞和癌细胞。然而,强荧光背景的存在限制了 SRS 在实时临床应用中的使用。最近,我们报道了一种新的调制拉曼光谱(MRS)技术,用于从背景中提取拉曼光谱。在本文中,我们首次将 MRS 应用于尿液样本中人类尿路上皮细胞(SV-HUC-1)和膀胱癌细胞(MGH)的鉴定。将这些结果与 SRS 获得的结果进行比较。使用主成分分析的分类清楚地表明,MRS 允许以 98%的高灵敏度和 95%的高特异性区分 SV-HUC-1 和 MGH 细胞的拉曼光谱。MRS 还用于区分在尿液中暴露长达 6 小时后的 SV-HUC-1 和 MGH 细胞。我们观察到在尿液中随时间推移,SV-HUC-1 和 MGH 细胞的 MRS 发生明显变化,这表明样品采集条件对于将该方法应用于临床尿液样本非常重要。

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