Accurate Analysis of Tumor Margins Using a Fluorescent pH Low Insertion Peptide (pHLIP)

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 re...

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Main Authors: Oleg A. Andreev, Donald M. Engelman, James Segala, Yana K. Reshetnyak
Format: Article
Language:English
Published: MDPI AG 2009-08-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:http://www.mdpi.com/1422-0067/10/8/3478/
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spelling doaj-4bc383db84e942fa80613706d6b15ce22020-11-25T00:48:54ZengMDPI AGInternational Journal of Molecular Sciences1422-00672009-08-011083478348710.3390/ijms10083478Accurate Analysis of Tumor Margins Using a Fluorescent pH Low Insertion Peptide (pHLIP)Oleg A. AndreevDonald M. EngelmanJames SegalaYana K. ReshetnyakThe 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. http://www.mdpi.com/1422-0067/10/8/3478/tumor borderfluorescence-guided surgerypHLIPtumor targetingcomputational algorithm
collection DOAJ
language English
format Article
sources DOAJ
author Oleg A. Andreev
Donald M. Engelman
James Segala
Yana K. Reshetnyak
spellingShingle Oleg A. Andreev
Donald M. Engelman
James Segala
Yana K. Reshetnyak
Accurate Analysis of Tumor Margins Using a Fluorescent pH Low Insertion Peptide (pHLIP)
International Journal of Molecular Sciences
tumor border
fluorescence-guided surgery
pHLIP
tumor targeting
computational algorithm
author_facet Oleg A. Andreev
Donald M. Engelman
James Segala
Yana K. Reshetnyak
author_sort Oleg A. Andreev
title Accurate Analysis of Tumor Margins Using a Fluorescent pH Low Insertion Peptide (pHLIP)
title_short Accurate Analysis of Tumor Margins Using a Fluorescent pH Low Insertion Peptide (pHLIP)
title_full Accurate Analysis of Tumor Margins Using a Fluorescent pH Low Insertion Peptide (pHLIP)
title_fullStr Accurate Analysis of Tumor Margins Using a Fluorescent pH Low Insertion Peptide (pHLIP)
title_full_unstemmed Accurate Analysis of Tumor Margins Using a Fluorescent pH Low Insertion Peptide (pHLIP)
title_sort accurate analysis of tumor margins using a fluorescent ph low insertion peptide (phlip)
publisher MDPI AG
series International Journal of Molecular Sciences
issn 1422-0067
publishDate 2009-08-01
description 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.
topic tumor border
fluorescence-guided surgery
pHLIP
tumor targeting
computational algorithm
url http://www.mdpi.com/1422-0067/10/8/3478/
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