期刊文献+

激光共焦显微拉曼光谱技术在人舌鳞癌细胞检测中的应用 被引量:6

Micro-Raman spectroscopy technique in the detection of human tongue squamous carcinoma cell
下载PDF
导出
摘要 目的:采用激光共焦显微拉曼光谱技术对人舌鳞癌细胞CAL-27进行检测,并将其与正常人体口腔黏膜上皮细胞(NHOK)进行对比和分析,从而从分子层面区分CAL-27和NHOK。方法:培养CAL-27和NHOK,并用激光共焦显微拉曼光谱对其进行检测,以及采用主成分分析法和线性判别技术对其进行分析。结果:对比CAL-27和NHOK光谱差谱,发现谱宽于735、959、1 334、1 575 cm-1处,CAL-27的峰值比NHOK强,但在1 033 cm-1处,则相对要弱。结合主成分分析和线性判别技术的灵敏度为96.8%,特异性为90.3%,诊断率为93.5%。受试者操作特性曲线下面积为0.971。结论:采用激光共焦显微拉曼技术可区分CAL-27和NHOK。 Objective To detect human tongue squamous carcinoma cell CAL-27 with micro-Raman spectroscopy technique,and distinguish CAL-27 from normal human oral keratinocytes(NHOK) in the molecular level by comparing CAL-27 with NHOK. Methods The cultivated CAL-27 and NHOK were detected with micro-Raman spectroscopy technique, and analyzed using principal component analysis combined with linear discriminate analysis(PCA-LDA). Results Comparing with NHOK, higher peak values were found at 735, 959, 1 334, 1 575 cm^(-1), and lower peak value at 1 033 cm^(-1) in CAL-27.The PCA-LDA achieved a sensitivity of 96.8%, a specificity of 90.3%, and a diagnostic accuracy of 93.5%. The area under the receiver operating characteristic curve was 0.971. Conclusion Micro-Raman spectroscopy with PCA-LDA has the potential for distinguishing CAL-27 from NHOK.
出处 《中国医学物理学杂志》 CSCD 2017年第7期753-756,共4页 Chinese Journal of Medical Physics
基金 国家自然科学基金(31300691,61675072,21505047) 教育部高等学校博士学科点专项科研基金(20134407120003) 广东省科技计划项目(2014A020212282) 广东省自然科学基金(9251063101000009) 广州市南沙区科技计划项目(No.2015CX004) 广东省教育厅科技创新项目(2013KJCX0052)
关键词 人舌鳞癌细胞 正常人体口腔黏膜上皮细胞 激光共焦显微拉曼光谱 主成分分析法 线性判别技术 human tongue squamous carcinoma cell normal human oral keratinocytes micro-Raman spectroscopy principal component analysis linear discriminate analysis
  • 相关文献

参考文献1

二级参考文献10

  • 1Parkin DM, Bray F, Ferlay J, et al. Estimating the world cancer burden: Globocan 2000[J]. Int J Cancer, 2001, 94(2): 153-156.
  • 2Brown AE, Langdon JD. Management of oral cancer[J]. Ann R Coll Surg Engl, 1995, 77 (6):404-408.
  • 3Krafft C. Bioanalytical applications Of Raman spectroscopy[J]. Anal Bioanal Chem, 2004, 378(1):60-62.
  • 4Krishna CM, Sockalingum GD, Bhat RA, et al. FTIR and Raman microspectroscopy of normal, benign, and malignant formalinfixed ovarian tissues[J]. Anal Bioanal Chem, 2007, 387 (5): 1649- 1656.
  • 5Kumar KK, Anand A, Chowdary MV, et al. Discrimination of normal and malignant stomach mucosal tissues by Raman spectroscopy: A pilot study[J]. Vib Spectrosc, 2007, 44(2):382-387.
  • 6Lyng FM, Faolain EO, Conroy J, et al. Vibrational spectroscopy for cervical cancer pathology, from biochemical analysis to diagnostic tool[J]. Exp Mol Pathol, 2007, 82(2):121-129.
  • 7Rehman S, Movasaghi Z, Tucker ,AT, et al. Raman spectroscopic analysis of breast cancer tissues: Identifying differences between normal, invasive ductal carcinoma and ductal carcinoma in situ of the breast tissue[J]. J Raman Spectrosc, 2007, 38:1345-1351.
  • 8Leon B, John WE, Peter R, et al. The World Health Organization's histological classification of tumors[M]. Lyon: IACR Press, 2005: 191-212.
  • 9Matthews BW. Comparison of the predicted and observed secondary structure of T4 phage lysozyme[J]. Biochim Biophys Acta, 1975, 405(2) :442-451.
  • 10Novic M, Zupan J. Investigation of infrared spectra-structure correlation using kohonen and counterpropagation neural net work [J]. J Chem Inf Comput Sci, 1995, 35:454-466.

共引文献14

同被引文献38

引证文献6

二级引证文献13

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部