The Distribution Analysis of the Biomarkers on Breast Cancer Tissues by Hadamard Transform Spectral Microscopic Imaging
XU Hao1, CHEN Chuang2, LIU Chun-mei1, PENG Jun1, LI Yan2, ZHANG Zhi-ling1, TANG Hong-wu1*
1. Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education) College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China 2. Department of Oncology, Zhongnan Hospital of Wuhan University & Hubei Key Laboratory of Tumor Biological Behaviors, Wuhan 430071, China
Abstract：Multi-functional Hadamard transform spectral microscopic imaging system was employed to provide high-resolutional fluorescence spectrum and image of tiny samples such as single cells and tissues. Semiconductor quantum dots (QDs) have several photo-physical advantages such as broad excitation spectrum, multi-color fluorescence with one single wavelength light source, narrow fluorescence emission peak, high photostability and long fluorescence lifetime, which make QDs good markers of the fluorescence spectral imaging microscopic analysis in biomedical applications. Based on immunostaining with quantum dots (QDs) emitting at 610 nm to tag and trace two breast cancer biomarkers human epidermal growth factor receptor 2 (HER2) and estrogen receptor (ER) in human breast cancer tissue with in situ fluorescence imaging, sensitive spectra and images were obtained. Moreover, by comparing the differences of fluorescence spectra and 4D images between positive samples,(the human breast cancer tissues) and negative control,(the normal human breast tissues) by Hadamard transform spectral microscopic imaging system, a method to evaluate tumor malignancy of breast cancer tissues based on the analysis of distribution of HER2 and ER was proposed. The results show that the Hadamard system can be applied to visualize and quantitatively measure the subcellular proteins such as HER2 and ER inside the tumor tissues. The method developed with the above technique can be applied to quantitatively evaluate tumor malignancy and is advantageous over conventional method.
Key words：Hadamard transform;Spectral microscopy;Quantum dots;Breast cancer
徐 昊1，陈 创2，刘春梅1，彭 俊1，李 雁2，张志凌1，唐宏武1* . 阿达玛变换光谱显微成像分析乳腺癌组织肿瘤标志物的分布[J]. 光谱学与光谱分析, 2009, 29(12): 3216-3219.
XU Hao1, CHEN Chuang2, LIU Chun-mei1, PENG Jun1, LI Yan2, ZHANG Zhi-ling1, TANG Hong-wu1* . The Distribution Analysis of the Biomarkers on Breast Cancer Tissues by Hadamard Transform Spectral Microscopic Imaging . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29(12): 3216-3219.
[1] Helga Bernhard, Julia Neudorfer, Kerstin Gebhard, et al. Cancer Immunol Immunother, 2008, 57: 271. [2] WANG Xiao-yi, TAN Jin-xiang, WU Kai-nan, et al(王小毅, 谭金祥, 吴凯南, 等). Journal of Endocrine Surgery(内分泌外科杂志), 2007, 1(4): 231. [3] WANG Jun(王 军). J. Int. Oncol.(国际肿瘤学杂志), 2007, 34(1): 21. [4] Marilyn S. Bartlett, Jay A Fishman, et al. J. Clin. Microbiol., 1988, 26(6): 1100. [5] Tang Hongwu, Yang Xuebin, Jennifer Kirkham, et al. Anal. Chem., 2007, 79(10): 3646. [6] WANG Wei, LIU Wen-kai, SU Shi-guang(王 卫, 刘文凯, 苏时光). China Journal of Modern Medicine(中国现代医学杂志), 2006, 16(4): 553. [7] ZHANG Yang-de, LI Luo-si(张阳德, 李罗丝). China Medical Engineering(中国医学工程), 2006, 14(1): 40. [8] Warren C W Chan, Dustin J Maxwel, Gao Xiaohu, et al. Curr. Opin. Biotechnol,. 2002, 13: 40. [9] Chen C, Chen L D, Zhang Z L, et al. J. Clin. Oncol., 2008, 7(3): 179. [10] Chen Liangdong, Liu Jia, Yu Xuefeng, et al. Biomaterials, 2008, 29: 4170. [11] Turner J F. Chemical Imaging Comes of Age. Spie's Oemagazine, 2002. 30. [12] Harwit M O, Sloane N J. Hadamard Transform Optics. London: Academic Press, 1979. [13] MEI Er-wen, GU Wen-fang, CHEN Guan-quan, et al(梅二文, 顾文芳, 陈观铨, 等). Chinese Journal of Analytical Chemistry(分析化学), 1995, 23: 594. [14] Xu Hao, Peng Jun, Tang Hongwu, et al. Analyst, 2009, 134: 504. [15] XU Hao, TANG Hong-wu, LI Ying, et al(徐 昊, 唐宏武, 李 莹, 等). Journal of Analytical Science(分析科学学报), 2008, 24(4): 385.
