Equipe MéDIAN, Biophotonique et Technologies pour la Santé, Université de Reims Champagne-Ardenne, CNRS FRE 3481-MEDyC, UFR de Pharmacie, 51 rue Cognacq-Jay, 51096 Reims Cedex, France.
Analyst. 2013 Jul 21;138(14):4006-14. doi: 10.1039/c3an00245d.
Hepatocellular carcinoma (HCC) is the third most common cause of cancer death worldwide. The development of novel diagnostic methods is needed to detect tumours at an early stage when patients are eligible for curative treatments. The purpose of this proof-of-concept study was to determine if micro-Raman spectroscopy applied to the sera of cirrhotic patients may be an alternative method for rapidly discriminating patients with and without HCC. Serum samples were collected from 2 groups of patients: cirrhotic patients with HCC (n = 37) and without HCC (n = 34). Two different approaches were used, dried serum drops and freeze-dried serum, and micro-Raman spectra were acquired in the point-mode with a 785 nm laser excitation in the spectral range of 600-1800 cm(-1). Spectra were quality-tested and pre-processed (smoothing, baseline subtraction, vector normalization). Using principal component analysis, the 2 classes, corresponding to cirrhotic patients with and without HCC, could not be differentiated. In contrast, the support vector machine method using the leave-one-out cross validation procedure was able to correctly classify the two groups of patients with an overall rate of accuracy of 84.5% to 90.2% for dried serum drops and 86% to 91.5% for freeze-dried serum. These results are promising and support the concept that serum micro-Raman spectroscopy may become a useful diagnostic tool to detect biomarkers in the field of cancer, as described here for distinguishing between cirrhotic patients with and without HCC.
肝细胞癌(HCC)是全球癌症死亡的第三大主要原因。需要开发新的诊断方法来早期检测肿瘤,以便患者有资格接受治愈性治疗。本概念验证研究的目的是确定应用于肝硬化患者血清的微拉曼光谱是否可能是快速区分有无 HCC 患者的替代方法。从两组患者中收集血清样本:患有 HCC(n=37)和不患有 HCC(n=34)的肝硬化患者。使用两种不同的方法,干燥血清滴和冻干血清,并在点模式下用 785nm 激光激发在 600-1800cm(-1)的光谱范围内获得微拉曼光谱。对光谱进行质量测试和预处理(平滑、基线扣除、向量归一化)。使用主成分分析,无法区分对应于患有和不患有 HCC 的肝硬化患者的两个类别。相比之下,使用留一法交叉验证程序的支持向量机方法能够正确分类两组患者,对于干燥血清滴的总准确率为 84.5%至 90.2%,对于冻干血清为 86%至 91.5%。这些结果很有希望,支持了血清微拉曼光谱可能成为检测癌症领域生物标志物的有用诊断工具的概念,如这里描述的用于区分有无 HCC 的肝硬化患者。