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Abstract：
Raman microspectroscopy has become an effective method for analyzing the molecular appearance of biomarkers in skin tissue. For the first time, we acquired in vitro Raman spectra of healthy and malignant skin tissues, including basal cell carcinoma (BCC) and squamous cell carcinoma (SCC), at 532 and 785 nm laser excitation wavelengths in the wavenumber ranges of 900-1800 cm-1 and 2800-3100 cm-1 and analyzed them to find spectral features for differentiation between the three classes of the samples. The intensity ratios of the bands at 1268, 1336, and 1445 cm-1 appeared to be the most reliable criteria for the three-class differentiation at 532 nm excitation, whereas the bands from the higher wavenumber region (2850, 2880, and 2930 cm-1) were a robust measure of the increased protein/lipid ratio in the tumors at both excitation wavelengths. Selecting ratios of the three bands from the merged (532 + 785) dataset made it possible to increase the accuracy to 87% for the three classes and reach the specificities for BCC + SCC equal to 87% and 81% for the sensitivities of 95% and 99%, respectively. Development of multi-wavelength excitation Raman spectroscopic techniques provides a versatile non-invasive tool for research of the processes in malignant skin tumors, as well as other forms of cancer.
摘要：
拉曼光谱已成为分析皮肤组织中生物标志物分子外观的有效方法。第一次,我们获得了健康和恶性皮肤组织的体外拉曼光谱，包括基底细胞癌（BCC）和鳞状细胞癌（SCC），在900-1800cm-1和2800-3100cm-1的波数范围内的532和785nm激光激发波长，并对其进行分析以找到区分三类样品的光谱特征。1268、1336和1445cm-1波段的强度比似乎是532nm激发下三级分化的最可靠标准，而来自较高波数区域(2850,2880和2930cm-1)的条带是在两个激发波长下肿瘤中蛋白质/脂质比率增加的有力量度。从合并的（532785）数据集中选择三个波段的比率，可以将三个类别的准确性提高到87％，并达到BCCSCC的特异性等于87％和81％，灵敏度为95％和99％，分别。多波长激发拉曼光谱技术的发展为研究恶性皮肤肿瘤的过程提供了一种通用的非侵入性工具，以及其他形式的癌症。
