School of Science and Technology, Kwansei Gakuin University, 2-1 Gakuen, Sanda, Hyogo, 669-1337, Japan.
Institute of Analytical Chemistry and Radiochemistry, CCB - Center for Chemistry and Biomedicine, Leopold-Franzens University, Innrain 80/82, 6020 Innsbruck, Austria.
Sci Rep. 2017 Mar 22;7:44890. doi: 10.1038/srep44890.
This study aimed to extract the paraffin component from paraffin-embedded oral cancer tissue spectra using three multivariate analysis (MVA) methods; Independent Component Analysis (ICA), Partial Least Squares (PLS) and Independent Component - Partial Least Square (IC-PLS). The estimated paraffin components were used for removing the contribution of paraffin from the tissue spectra. These three methods were compared in terms of the efficiency of paraffin removal and the ability to retain the tissue information. It was found that ICA, PLS and IC-PLS could remove the paraffin component from the spectra at almost the same level while Principal Component Analysis (PCA) was incapable. In terms of retaining cancer tissue spectral integrity, effects of PLS and IC-PLS on the non-paraffin region were significantly less than that of ICA where cancer tissue spectral areas were deteriorated. The paraffin-removed spectra were used for constructing Raman images of oral cancer tissue and compared with Hematoxylin and Eosin (H&E) stained tissues for verification. This study has demonstrated the capability of Raman spectroscopy together with multivariate analysis methods as a diagnostic tool for the paraffin-embedded tissue section.
本研究旨在使用三种多元分析（MVA）方法，即独立成分分析（ICA）、偏最小二乘（PLS）和独立成分-偏最小二乘（IC-PLS），从石蜡包埋口腔癌组织光谱中提取石蜡成分。所估计的石蜡成分用于去除组织光谱中的石蜡贡献。在去除石蜡的效率和保留组织信息的能力方面，比较了这三种方法。结果发现，ICA、PLS 和 IC-PLS 几乎可以在相同的水平上从光谱中去除石蜡成分，而主成分分析（PCA）则不能。在保留癌症组织光谱完整性方面，PLS 和 IC-PLS 对非石蜡区域的影响明显小于 ICA，后者恶化了癌症组织光谱区域。去除石蜡的光谱用于构建口腔癌组织的拉曼图像，并与苏木精和伊红（H&E）染色组织进行比较验证。本研究证明了拉曼光谱与多元分析方法相结合作为石蜡包埋组织切片的诊断工具的能力。
