Department of Physics, Ben Gurion University, Beer-Sheva, 84105, Israel.
Analyst. 2010 Aug;135(8):1934-40. doi: 10.1039/b920591h. Epub 2010 Jun 7.
In last decades infrared spectroscopy has demonstrated potential as a novel technology for early cancer diagnosis. Among the various IR spectroscopic techniques special interest has arisen from methods based on evanescent wave absorbance due to the possibility for in situ and in vivo implementation. The goal of the present study is to examine the potential of Attenuated Total Reflectance (ATR) spectroscopy for early detection of premalignant changes. As a model we used both cell lines and primary cells, which were transformed to be malignant by a retrovirus. Spectral measurements were performed at various post infection stages in parallel with morphological observations. Our results showed gradual and consistent spectral alterations in both cell cultures due to carcinogenesis, which were outlined using Principal Component Analysis (PCA). The main spectral differences appeared in three spectral ranges: at 3000-2800 cm(-1) (attributed to stretching vibrational modes of lipids and proteins), at 1470-1300 cm(-1)(attributed to bending overlapping modes of lipids and proteins) and also at the highly overlapping spectral range at 1000-1200 cm(-1) (attributed to bending and starching vibrational modes corresponding to all types of biological macromolecules). In order to obtain robust unsupervised classifications of the malignant progression we applied approaches of Linear Discriminant Analysis (LDA). The classifications based on Mahalanobis distances allowed us to discern that the accuracy of successful identification of premalignant stages varied between 86.5-97.2%. Our results show that ATR spectroscopy in tandem with proper statistical tools may provide a promising technique for early detectable signals of malignant progression.
在过去的几十年中,红外光谱已被证明是一种用于早期癌症诊断的新型技术。在各种红外光谱技术中,由于能够进行原位和体内实施,基于消逝波吸收的方法引起了特别的兴趣。本研究的目的是检验衰减全反射(ATR)光谱在早期检测癌前变化方面的潜力。作为模型,我们使用了细胞系和原代细胞,这些细胞通过逆转录病毒转化为恶性细胞。在感染后各个阶段,与形态学观察同时进行光谱测量。我们的结果表明,由于癌变,两种细胞培养物均发生了逐渐而一致的光谱变化,这些变化使用主成分分析(PCA)进行了概述。主要的光谱差异出现在三个光谱范围内:在 3000-2800cm-1(归因于脂质和蛋白质的伸缩振动模式),在 1470-1300cm-1(归因于脂质和蛋白质的弯曲重叠模式),以及在高度重叠的光谱范围内 1000-1200cm-1(归因于弯曲和拉伸振动模式,对应于所有类型的生物大分子)。为了获得对恶性进展的稳健无监督分类,我们应用了线性判别分析(LDA)的方法。基于马氏距离的分类允许我们辨别出,成功识别癌前阶段的准确率在 86.5-97.2%之间变化。我们的结果表明,ATR 光谱与适当的统计工具相结合,可能为恶性进展的早期检测信号提供一种有前途的技术。