Li Ming, Banerjee Sangeeta Ray, Zheng Chao, Pomper Martin G, Barman Ishan
Department of Mechanical Engineering , Johns Hopkins University , Baltimore , Maryland 21218 , USA . Email:
The Sidney Kimmel Comprehensive Cancer Center , Johns Hopkins University School of Medicine , Baltimore , Maryland 21287 , USA . Email:
Chem Sci. 2016 Nov 1;7(11):6779-6785. doi: 10.1039/c6sc01739h. Epub 2016 Jul 15.
Precise visualization of tumor margins with characterization of microscopic tumor invasion are unmet needs in prostate oncology that demand approaches with high sensitivity and specificity. To address those needs we report surface-enhanced Raman scattering (SERS) based optical imaging for prostate cancer using a combination of live cell Raman microscopy, optimally engineered SERS tags and a urea-based small-molecule inhibitor of prostate-specific membrane antigen (PSMA) as a targeting moiety. We develop gold nanostar based SERS agents that offer ultrahigh binding affinity to PSMA with nearly four orders of magnitude lower IC values in relation to existing clinical imaging agents. This combination enables selective recognition of prostate cancer cells, and facilitates quantitative and photostable Raman measurements. Using Raman microscopy to analyze phenotypically similar prostate cancer cell lines differing only in PSMA expression, we demonstrate facile, site-selective recognition using as low as 20 pM of the SERS agent for imaging, opening the door for spectroscopic detection of prostate and other PSMA-expressing tumors .
在前列腺肿瘤学中,精确可视化肿瘤边缘并表征微观肿瘤浸润是尚未满足的需求,这需要具有高灵敏度和特异性的方法。为满足这些需求,我们报告了基于表面增强拉曼散射(SERS)的前列腺癌光学成像技术,该技术结合了活细胞拉曼显微镜、经过优化设计的SERS标签以及一种基于尿素的前列腺特异性膜抗原(PSMA)小分子抑制剂作为靶向部分。我们开发了基于金纳米星的SERS试剂,其对PSMA具有超高结合亲和力,与现有临床成像试剂相比,其抑制浓度(IC)值低了近四个数量级。这种组合能够选择性识别前列腺癌细胞,并有助于进行定量且光稳定的拉曼测量。通过拉曼显微镜分析仅在PSMA表达上存在差异的表型相似的前列腺癌细胞系,我们证明了使用低至20 pM的SERS试剂进行成像即可实现简便、位点选择性识别,为前列腺癌及其他表达PSMA的肿瘤的光谱检测打开了大门。