Physics Department, University of Rhode Island, Kingston, RI 02881, USA.
Int J Mol Sci. 2009 Aug 4;10(8):3478-87. doi: 10.3390/ijms10083478.
The recurrence of certain cancers remains quite high due to either incomplete surgical removal of the primary tumor or the presence of small metastases that are invisible to the surgeon. Near infrared (NIR) fluorescence imaging might improve surgical outcomes by providing sensitive, specific, and real-time visualization of normal and diseased tissues if agents can be found that discriminate between normal and diseased tissue and define tumor margins. We have developed a new approach for revealing tumor borders by using NIR fluorescently labeled pH Low Insertion Peptide (pHLIP) and have created a computational program for the quantitative assessment of tumor boundaries. The approach is tested in vivo by co-localization of GFP-tumors and NIR emission from the fluorescently labeled pHLIP, and it is found that boundaries are accurately reported and that sub-millimeter masses can be detected.
由于原发性肿瘤切除不完全或外科医生无法看到的微小转移灶的存在,某些癌症的复发率仍然很高。近红外(NIR)荧光成像是一种新的方法,通过发现能够区分正常组织和病变组织并定义肿瘤边界的试剂,提供正常和病变组织的敏感、特异和实时可视化,从而提高手术效果。我们已经开发了一种新的方法,使用近红外荧光标记的 pH 低插入肽(pHLIP)来揭示肿瘤边界,并创建了一个用于定量评估肿瘤边界的计算程序。该方法通过 GFP-肿瘤的共定位和荧光标记的 pHLIP 的近红外发射进行体内测试,结果发现边界被准确报告,并且可以检测到亚毫米级的肿块。