Hammody Z, Argov S, Sahu R K, Cagnano E, Moreh R, Mordechai S
Department of Physics and the Cancer Research Center, Ben-Gurion University, Beer-Sheva, 84105, Israel.
Analyst. 2008 Mar;133(3):372-8. doi: 10.1039/b712040k. Epub 2008 Jan 16.
Infrared spectroscopy is widely perceived as a future technology for cancer detection and grading. Malignant melanoma, an aggressive skin cancer, is accessible to non-invasive IR radiation based surface probes for its identification and grading. The present work examines the differences in the IR spectra of melanoma tissues and the surrounding epidermis in skin biopsies with the objective of identifying diagnostic parameters and suitable computational/statistical methods of analysis. Melanoma could be differentiated from the epidermis in biopsies of 55 patients, using parameters derived from absorbance bands originating from molecular vibrations of nucleic acids and/or their bases. Additionally, absorbances from tyrosine and phosphate that are abnormally elevated in malignant melanoma could be used as markers. Two-dimensional plots of these parameters in tandem with advanced statistical methods successfully demonstrate the potential of IR spectroscopy to distinguish between epidermal and melanoma regions with a high classification success. The work underlines the importance of developing data analysis methods in FTIR based diagnosis using melanoma as a model system.
红外光谱被广泛视为一种用于癌症检测和分级的未来技术。恶性黑色素瘤是一种侵袭性皮肤癌，基于非侵入性红外辐射的表面探头可用于其识别和分级。目前的工作旨在研究皮肤活检中黑色素瘤组织和周围表皮的红外光谱差异，以确定诊断参数和合适的计算/统计分析方法。在55例患者的活检中，利用源自核酸和/或其碱基分子振动的吸收带得出的参数，可将黑色素瘤与表皮区分开来。此外，恶性黑色素瘤中异常升高的酪氨酸和磷酸盐的吸光度可作为标志物。这些参数的二维图与先进的统计方法相结合，成功地证明了红外光谱以高分类成功率区分表皮和黑色素瘤区域的潜力。这项工作强调了以黑色素瘤作为模型系统，在基于傅里叶变换红外光谱的诊断中开发数据分析方法的重要性。
