Zheng Chao, Liang Lijia, Xu Shuping, Zhang Haipeng, Hu Chengxu, Bi Lirong, Fan Zhimin, Han Bing, Xu Weiqing
Department of Breast Surgery, The First Hospital of Jilin University, Changchun, 130021, China.
Anal Bioanal Chem. 2014 Sep;406(22):5425-32. doi: 10.1007/s00216-014-7967-5. Epub 2014 Jun 24.
This study uses the powerful fingerprint features of Raman spectroscopy to distinguish different types of breast tissues including normal breast tissues (NB), fibroadenoma (FD), atypical ductal hyperplasia (ADH), ductal carcinoma in situ (DCIS), and invasive ductal carcinoma (IDC). Thin frozen tissue sections of fresh breast tissues were measured by Raman spectroscopy. Due to the inherent low sensitivity of Raman spectra, Au@SiO2 shell-isolated nanoparticle-enhanced Raman spectroscopy (SHINERS) technique was utilized to provide supplementary and more informative spectral features. A total of 619 Raman spectra were acquired and compared to 654 SHINERS spectra. The maximum enhancement effect of distinct and specific bands was characterized for different tissue types. When applying the new criteria, excellent separation of FD, DCIS, and IDC was obtained for all tissue types. Most importantly, we were able to distinguish ADH from DCIS. Although only a preliminary distinction was characterized between ADH and NB, the results provided a good foundation of criteria to further discriminate ADH from NB and shed more light toward a better understanding of the mechanism of ADH formation. This is the first report to detect the premalignant (ADH and DCIS) breast tissue frozen sections and also the first report exploiting SHINERS to detect and distinguish breast tissues. The results presented in this study show that SHINERS can be applied to accurately and efficiently identify breast lesions. Further, the spectra can be acquired in a minimally invasive procedure and analyzed rapidly facilitating early and accurate diagnosis in vivo/in situ.
本研究利用拉曼光谱强大的指纹特征来区分不同类型的乳腺组织，包括正常乳腺组织（NB）、纤维腺瘤（FD）、非典型导管增生（ADH）、导管原位癌（DCIS）和浸润性导管癌（IDC）。通过拉曼光谱对新鲜乳腺组织的薄冰冻切片进行测量。由于拉曼光谱固有的低灵敏度，采用了金@二氧化硅壳层隔离纳米粒子增强拉曼光谱（SHINERS）技术来提供补充性的、信息更丰富的光谱特征。共采集了619个拉曼光谱，并与654个SHINERS光谱进行比较。对不同组织类型表征了不同且特定谱带的最大增强效果。应用新的标准时，所有组织类型的FD、DCIS和IDC均获得了出色的分离效果。最重要的是，我们能够区分ADH和DCIS。尽管ADH和NB之间仅进行了初步区分，但结果为进一步区分ADH和NB提供了良好的标准基础，并为更好地理解ADH形成机制提供了更多线索。这是首篇检测癌前（ADH和DCIS）乳腺组织冰冻切片的报告，也是首篇利用SHINERS检测和区分乳腺组织的报告。本研究呈现的结果表明，SHINERS可用于准确、高效地识别乳腺病变。此外，可通过微创程序采集光谱并快速分析，便于在体内/原位进行早期准确诊断。
