Department of Chemistry, Faculty of Science, IKIU, Qazvin, Iran.
Eur J Cancer Care (Engl). 2010 May;19(3):352-9. doi: 10.1111/j.1365-2354.2008.01062.x. Epub 2009 Nov 11.
Fourier transform infrared spectra of blood samples obtained from healthy women and those affected by breast cancer have been analysed statistically. Several spectral differences were detected in the N-H stretching signals of amides I and II bands. The position of alpha-helix and beta-sheet amide I bands would shift in cancerous blood samples during stage development. Investigating the absorbance bands in the Fourier transform infrared spectra during the different stages of cancer, many changes are clearly observed in the intensity of a single band or the absorbance ratio of signals, indicating the changes that would occur in blood ingredients during cancer stages. These observations imply that the information is useful for diagnostic study of breast cancer and malignant abnormalities by infrared spectroscopy of whole blood samples. Finally, linear discriminant analysis was applied for classification of cancer case and normal case blood samples. The accuracy of the proposed method was 97.9%.
对来自健康女性和乳腺癌患者的血液样本的傅里叶变换红外光谱进行了统计分析。在酰胺 I 和 II 带的 N-H 伸缩信号中检测到了几个光谱差异。在癌症发展过程中,癌细胞血液样本中的α-螺旋和β-折叠酰胺 I 带的位置会发生移动。在不同癌症阶段研究傅里叶变换红外光谱中的吸收带时,在单个带的强度或信号的吸收比上观察到许多变化,这表明在癌症阶段血液成分会发生变化。这些观察结果表明,通过全血样本的红外光谱对乳腺癌和恶性异常进行诊断研究时,这些信息是有用的。最后,应用线性判别分析对癌症病例和正常病例的血液样本进行分类。所提出的方法的准确性为 97.9%。