Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Department of Pathology, Jiangsu Cancer Hospital, Nanjing 210009, China.
Spectrochim Acta A Mol Biomol Spectrosc. 2020 Jul 5;235:118178. doi: 10.1016/j.saa.2020.118178. Epub 2020 Feb 20.
To accurately investigate in situ breast cancer would be very significant for real-time information and in situ diagnosis. In this in situ study, home-made hollow optical fiber attenuated total reflection (HOF-ATR) probe was integrated into Fourier transform infrared (FTIR) spectroscopic system to perform breast cancer research at molecular level. Based on the FTIR spectral analysis on band shifts and absorbance ratios, it's disclosed that the molecular structure, conformation and content of main components change with cancerization of breast tissue. Fisher's discriminant analysis on HOF-ATR-FTIR spectra was applied to identify the healthy and cancerous breast tissues for the first time. The identification accuracy was 96.67% for training group and 93.33% for cross-validation, respectively, as well as 95% for the prediction group. This paper provides much in situ information of tissue cancerization at molecular level, which can be used as fingerprint biomarkers of tissue cancerization for in situ diagnosis. HOF-ATR-FTIR spectroscopy with discriminant analysis has potential to be an effective and promising method in in situ biomedical research and monitoring of breast cancer.
准确地研究原位乳腺癌对于实时信息和原位诊断非常重要。在这项原位研究中,我们将自制的中空光纤衰减全反射(HOF-ATR)探头集成到傅里叶变换红外(FTIR)光谱系统中,以在分子水平上进行乳腺癌研究。基于对频移和吸光度比的 FTIR 光谱分析,揭示了分子结构、构象和主要成分的含量随着乳腺组织癌变而发生变化。我们首次应用 HOF-ATR-FTIR 光谱的 Fisher 判别分析来识别健康和癌变的乳腺组织。训练组的识别准确率为 96.67%,交叉验证组为 93.33%,预测组为 95%。本文提供了大量组织癌变的原位分子信息,可作为组织癌变的指纹生物标志物用于原位诊断。具有判别分析功能的 HOF-ATR-FTIR 光谱学有望成为原位生物医学研究和乳腺癌监测的一种有效且有前途的方法。