首页 > 论文 > 激光与光电子学进展 > 56卷 > 15期(pp:151701--1)

肺癌细胞物质表达及堆积结构的拉曼位移特征

Raman Shift Characteristics of Substance Expression and Accumulation Structure in Lung Cancer Cells

  • 摘要
  • 论文信息
  • 参考文献
  • 被引情况
  • PDF全文
分享:

摘要

分析了肺腺癌细胞和间皮细胞间的拉曼位移及细胞化学染色形态学特征参数间的关系,为非创伤性检查肿瘤细胞提供参考。选择A549和Met-5A两种细胞进行拉曼光谱分析,将两种细胞进行H&E和PAP染色,计算其形态学图像特征。两种细胞在1082 ,1155 ,1304 cm -1处存在拉曼位移。通过图像识别A549和Met-5A细胞的能量标准差,采用PAP染色方法的两种细胞差异具有统计学意义(p0.05);对于颜色均值特征值,采用两种染色方法的两种细胞差异均具有统计学意义(p<0.05)。基于化学物质亲和特性,从肿瘤物质表达及堆积结构方面分析肺癌细胞拉曼位移特征,实验结果显示,临床组织病理染色分析核酸及蛋白表达特征,而拉曼光谱分析发现肺癌细胞存在核酸、蛋白表达及脂质结构的拉曼峰位移,这为拉曼检测肿瘤细胞物质波峰设定提供参考。

Abstract

To lay a foundation for the non-invasive examination of tumor cells, the associations between Raman shift characteristics and morphological parameters of cytochemical staining are analyzed in lung adenocarcinoma cells and physiological mesothelial cells. A549 cells and Met-5A cells are analyzed using Raman spectroscopy to calculate the Raman spectral shift characteristics. A549 cells and Met-5A cells are stained with H&E and PAP solutions to calculate their morphological image characteristics. In both cell lines, Raman shifts are observed at 1082, 1155, and 1304 cm -1. Energy standard deviations of A549 and Met-5A cells are recognized by the images. PAP staining results are significantly different (p<0.05), but H&E staining results show no significant differences (p>0.05) between the cell lines. The mean color value of cell image is significantly different (p<0.05) between the two stains. The Raman shift characteristics of lung cancer cells are then analyzed in terms of tumor substance expression and accumulation structure based on the affinity characteristics of the chemical substances. Experimental results show that clinical histopathological staining reveals the characteristics of nucleic acid and protein expression, and Raman spectroscopy reveals Raman peak shifts of nucleic acids, protein expression, and the lipid structure in lung cancer cells, laying a foundation for Raman spectroscopy to be used to set the substance peak of tumor cells.

Newport宣传-MKS新实验室计划
补充资料

DOI:10.3788/LOP56.151701

所属栏目:医用光学与生物技术

基金项目:国家自然科学基金(61703304);

收稿日期:2019-01-25

修改稿日期:2019-03-06

网络出版日期:2019-08-01

作者单位    点击查看

杨玉:天津医科大学医学检验学院, 天津 300203
陶正荣:天津医科大学医学检验学院, 天津 300203
闫静:天津理工大学计算机科学与工程学院, 天津 300384
吕殊星:天津医科大学医学检验学院, 天津 300203
王然:天津医科大学医学检验学院, 天津 300203
刘晓丹:天津医科大学医学检验学院, 天津 300203
孙续国:天津医科大学医学检验学院, 天津 300203

联系人作者:孙续国(sunxuguo@tmu.edu.cn)

备注:国家自然科学基金(61703304);

【1】Wang S and Zeng H S. Real-time in vivo Raman spectroscopy and its clinical applications in early cancer detection. Chinese Journal of Lasers. 45(2), (2018).
王爽, Haishan Zeng. 实时拉曼光谱分析技术及其在临床早期癌症检测中的应用. 中国激光. 45(2), (2018).

【2】Lu J, Zhu S S, Cui X Y et al. Raman spectroscopic imaging technology and its biomedical applications. Chinese Journal of Lasers. 45(3), (2018).
路交, 朱姗姗, 崔笑宇 等. 拉曼光谱成像技术及其在生物医学中的应用. 中国激光. 45(3), (2018).

【3】Zheng J W and Yang T W. Classification method of biological tissues based on Raman spectrum features. Laser & Optoelectronics Progress. 54(5), (2017).
郑家文, 杨唐文. 基于拉曼光谱特征的生物组织识别方法. 激光与光电子学进展. 54(5), (2017).

【4】Kang J, Luo S, He J et al. Preliminary exploration on diagnosis of laryngeal carcinoma based on Raman spectroscopy. Laser & Optoelectronics Progress. 54(11), (2017).
康竞, 罗昰, 何剑 等. 拉曼光谱诊断喉癌的初步探究. 激光与光电子学进展. 54(11), (2017).

【5】Liang H Y, Cheng X L, Dong S X et al. Ultrastructure and Raman spectral characteristics of two kinds of acute myeloid leukemia cells. Journal of Experimental Hematology. 26(1), 1-7(2018).
梁昊岳, 程雪莲, 董树旭 等. 两种急性髓系白血病细胞的超微结构和拉曼光谱特征研究. 中国实验血液学杂志. 26(1), 1-7(2018).

【6】Ye Y H, Chen Y, Li Y Z et al. Discrimination of nasopharyngeal carcinoma and normal nasopharyngeal cell lines based on confocal Raman microspectroscopy. Chinese Journal of Lasers. 39(5), (2012).
叶宇煌, 陈阳, 李永增 等. 基于拉曼光谱的鼻咽癌与正常鼻咽细胞株的分类研究. 中国激光. 39(5), (2012).

【7】Yang W P, Yao H L, Zhu M et al. Raman spectrums of mono-hepatocellular carcinoma. Laser & Infrared. 37(9), 824-827(2007).
杨文沛, 姚辉璐, 朱淼 等. 单个肝癌细胞的拉曼光谱分析研究. 激光与红外. 37(9), 824-827(2007).

【8】Fu L, Liu W H, Li L X et al. Raman spectroscopic statistics analysis on tissues of lung cancer. Applied Laser. 27(6), 508-511(2007).
付莉, 刘婉华, 李立祥 等. 肺癌组织拉曼光谱的统计分析. 应用激光. 27(6), 508-511(2007).

【9】Dorantes-Heredia R. Ruiz-Morales J M, Cano-García F. Histopathological transformation to small-cell lung carcinoma in non-small cell lung carcinoma tumors. Translational Lung Cancer Research. 5(4), 401-412(2016).

【10】Ishikawa K, Miyamoto M, Yoshioka T et al. Method for the validation of immunohistochemical staining using SCID mouse xenografts: expression of CD40 and CD154 in human non-small cell lung cancer. Oncology Reports. 29(4), 1315-1321(2013).

【11】Bando K, Haba R, Kushida Y et al. Utility of immediate cytologic diagnosis of lung masses using ultrafast Papanicolaou stain. Lung Cancer. 72(2), 172-176(2011).

【12】Zhao M, Wu A G, Song J J et al. Automatic screening of cervical cells using block image processing. BioMedical Engineering OnLine. 15, (2016).

【13】Zhao M Z, Chen L, Bian L J et al. Feature quantification and abnormal detection on cervical squamous epithelial cells. Computational and Mathematical Methods in Medicine. 2015, (2015).

【14】Meng L J, Ji X L, Li Z D et al. Mono-hepatocellular carcinoma by Raman mapping. Laser & Optoelectronics Progress. 48(2), (2011).
孟令晶, 纪晓露, 李自达 等. 单个肝癌细胞的拉曼成像研究. 激光与光电子学进展. 48(2), (2011).

【15】Stone N, Kendall C, Smith J et al. Raman spectroscopy for identification of epithelial cancers. Faraday Discussions. 126, 141-157(2004).

【16】Yan X L, Dong R X, Zhang L et al. Raman spectra of single cell from gastrointestinal cancer patients. World Journal of Gastroenterology. 11(21), 3290-3292(2005).

引用该论文

Yang Yu,Tao Zhengrong,Yan Jing,Lü Shuxing,Wang Ran,Liu Xiaodan,Sun Xuguo. Raman Shift Characteristics of Substance Expression and Accumulation Structure in Lung Cancer Cells[J]. Laser & Optoelectronics Progress, 2019, 56(15): 151701

杨玉,陶正荣,闫静,吕殊星,王然,刘晓丹,孙续国. 肺癌细胞物质表达及堆积结构的拉曼位移特征[J]. 激光与光电子学进展, 2019, 56(15): 151701

您的浏览器不支持PDF插件,请使用最新的(Chrome/Fire Fox等)浏览器.或者您还可以点击此处下载该论文PDF