Accurate analysis of tumor margins using a fluorescent pH Low Insertion Peptide (pHLIP).
Accurate analysis of tumor margins using a fluorescent pH Low Insertion Peptide (pHLIP).
复制标题
DOI：
10.3390/ijms10083478
复制
发表时间：
2009-08-04
影响因子：
5.6
通讯作者：
Andreev OA
中科院分区：
文献类型：
--
作者：
Segala J;Engelman DM;Reshetnyak YK;Andreev OA
某些癌症的复发率仍然很高，这要么是由于原发肿瘤的手术切除不完全，要么是由于外科医生看不见的小转移灶的存在。如果能找到区分正常和病变组织并确定肿瘤边缘的试剂，近红外（NIR）荧光成像可能通过提供正常和病变组织的敏感、特异和实时可视化来改善手术结果。我们开发了一种新的方法，通过使用近红外荧光标记的pH低插入肽（pHLIP）来揭示肿瘤边界，并创建了一个用于肿瘤边界定量评估的计算程序。通过gfp肿瘤的共定位和荧光标记的phillip的近红外发射，该方法在体内进行了测试，发现准确地报告了边界，并且可以检测到亚毫米级的肿块。
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.
登录
查看更多内容
DOI：
10.1073/pnas.0601463103
发表时间：
2006-04-25
影响因子：
11.1
作者：
Reshetnyak, YK;Andreev, OA;Engelman, DM
通讯作者：
Engelman, DM
影响因子：
3.7
作者：
Tanaka, Eiichi;Choi, Hak Soo;Frangioni, John V.
通讯作者：
Frangioni, John V.
影响因子：
64.8
作者：
Bild, AH;Yao, G;Nevins, JR
通讯作者：
Nevins, JR
影响因子：
45.3
作者：
Frangioni, John V.
通讯作者：
Frangioni, John V.
影响因子：
5.3
作者：
Kennedy, TC;Hirsch, FR
通讯作者：
Hirsch, FR