Biophysics Department, Faculty of Science, Cairo University, 12613 Giza, Egypt.
Biophysics Department, Faculty of Science, Cairo University, 12613 Giza, Egypt.
Life Sci. 2019 Oct 1;234:116777. doi: 10.1016/j.lfs.2019.116777. Epub 2019 Aug 26.
This work aimed to characterize normal, benign and malignant excised breast tissues through the analysis of the FTIR spectra of their plasma membrane proteins. Tissue characterization parameters such as peak position, peak intensity, area under the peak, relative peak intensity and relative area under peak were evaluated mainly for protein spectral peaks; 1150 cm, Amide I, Amide II, Amide III, and Amide A. The sensitivity, specificity and diagnostic accuracy for each parameter were obtained and Receiver Operating Characteristic (ROC) Curves were plotted. Results showed significant spectral differences between normal and benign tissues compared to malignant tissues at 1536 and 1645 cm. The three tissues could be distinguished at 2900 cm, where the malignant peak uniquely split into two separate peaks. ROC curves showed that the Amide A peak position yielded a higher accuracy compared to all other investigated characterization parameters. The deconvolution of Amide I revealed the conformational changes in plasma proteins characterizing the transformation to malignancy (a decrease in the percentage of alpha helix accompanied by an increase in the percentage of beta sheets). The use of the present structure-based analysis in conjunction with histopathological examination of excised breast tissues would offer an enhanced characterization that might reduce possible personal diagnostic mistakes.
本研究旨在通过分析其质膜蛋白的傅里叶变换红外(FTIR)光谱,对正常、良性和恶性切除乳腺组织进行特征描述。主要对蛋白光谱峰(1150cm-1、酰胺 I、酰胺 II、酰胺 III 和酰胺 A)的峰位置、峰强度、峰下面积、相对峰强度和相对峰下面积等组织特征参数进行评估。获得了每个参数的灵敏度、特异性和诊断准确性,并绘制了接收者操作特征(ROC)曲线。结果表明,与良性组织相比,正常组织和恶性组织在 1536 和 1645cm-1 处的光谱存在显著差异。在 2900cm-1 处,三种组织可以区分,其中恶性组织的峰独特地分裂成两个单独的峰。ROC 曲线表明,与所有其他研究的特征参数相比,酰胺 A 峰位置具有更高的准确性。酰胺 I 的去卷积揭示了血浆蛋白构象的变化,这些变化特征性地描述了向恶性肿瘤的转化(α螺旋的百分比降低,β片层的百分比增加)。本研究中基于结构的分析与切除乳腺组织的组织病理学检查相结合,将提供更增强的特征描述,可能会减少可能的个人诊断错误。