uPAR-targeted multimodal tracer for pre- and intraoperative imaging in cancer surgery
Pre- and intraoperative diagnostic techniques facilitating tumor staging are of paramount importance in colorectal cancer surgery. The urokinase receptor (uPAR) plays an important role in the development of cancer, tumor invasion, angiogenesis, and metastasis and over-expression is found in the majo...
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pubmed-45464652015-08-27 uPAR-targeted multimodal tracer for pre- and intraoperative imaging in cancer surgery Boonstra, Martin C. van Driel, Pieter B.A.A. van Willigen, Danny M. Stammes, Marieke A. Prevoo, Hendrica A.J.M. Tummers, Quirijn R.J.G. Mazar, Andrew P. Beekman, Freek J. Kuppen, Peter J.K. van de Velde, Cornelis J.H. Löwik, Clemens W.G.M. Frangioni, John V. van Leeuwen, Fijs W.B. Sier, Cornelis F.M. Vahrmeijer, Alexander L. Research Paper Pre- and intraoperative diagnostic techniques facilitating tumor staging are of paramount importance in colorectal cancer surgery. The urokinase receptor (uPAR) plays an important role in the development of cancer, tumor invasion, angiogenesis, and metastasis and over-expression is found in the majority of carcinomas. This study aims to develop the first clinically relevant anti-uPAR antibody-based imaging agent that combines nuclear (111In) and real-time near-infrared (NIR) fluorescent imaging (ZW800-1). Conjugation and binding capacities were investigated and validated in vitro using spectrophotometry and cell-based assays. In vivo, three human colorectal xenograft models were used including an orthotopic peritoneal carcinomatosis model to image small tumors. Nuclear and NIR fluorescent signals showed clear tumor delineation between 24h and 72h post-injection, with highest tumor-to-background ratios of 5.0 ± 1.3 at 72h using fluorescence and 4.2 ± 0.1 at 24h with radioactivity. 1-2 mm sized tumors could be clearly recognized by their fluorescent rim. This study showed the feasibility of an uPAR-recognizing multimodal agent to visualize tumors during image-guided resections using NIR fluorescence, whereas its nuclear component assisted in the pre-operative non-invasive recognition of tumors using SPECT imaging. This strategy can assist in surgical planning and subsequent precision surgery to reduce the number of incomplete resections. Impact Journals LLC 2015-03-29 /pmc/articles/PMC4546465/ /pubmed/25895028 Text en Copyright: © 2015 Boonstra et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
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Open Access Journal |
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Foreign Institution |
institution |
US National Center for Biotechnology Information |
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NCBI PubMed |
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Online Access |
language |
English |
format |
Online |
author |
Boonstra, Martin C. van Driel, Pieter B.A.A. van Willigen, Danny M. Stammes, Marieke A. Prevoo, Hendrica A.J.M. Tummers, Quirijn R.J.G. Mazar, Andrew P. Beekman, Freek J. Kuppen, Peter J.K. van de Velde, Cornelis J.H. Löwik, Clemens W.G.M. Frangioni, John V. van Leeuwen, Fijs W.B. Sier, Cornelis F.M. Vahrmeijer, Alexander L. |
spellingShingle |
Boonstra, Martin C. van Driel, Pieter B.A.A. van Willigen, Danny M. Stammes, Marieke A. Prevoo, Hendrica A.J.M. Tummers, Quirijn R.J.G. Mazar, Andrew P. Beekman, Freek J. Kuppen, Peter J.K. van de Velde, Cornelis J.H. Löwik, Clemens W.G.M. Frangioni, John V. van Leeuwen, Fijs W.B. Sier, Cornelis F.M. Vahrmeijer, Alexander L. uPAR-targeted multimodal tracer for pre- and intraoperative imaging in cancer surgery |
author_facet |
Boonstra, Martin C. van Driel, Pieter B.A.A. van Willigen, Danny M. Stammes, Marieke A. Prevoo, Hendrica A.J.M. Tummers, Quirijn R.J.G. Mazar, Andrew P. Beekman, Freek J. Kuppen, Peter J.K. van de Velde, Cornelis J.H. Löwik, Clemens W.G.M. Frangioni, John V. van Leeuwen, Fijs W.B. Sier, Cornelis F.M. Vahrmeijer, Alexander L. |
author_sort |
Boonstra, Martin C. |
title |
uPAR-targeted multimodal tracer for pre- and intraoperative imaging in cancer surgery |
title_short |
uPAR-targeted multimodal tracer for pre- and intraoperative imaging in cancer surgery |
title_full |
uPAR-targeted multimodal tracer for pre- and intraoperative imaging in cancer surgery |
title_fullStr |
uPAR-targeted multimodal tracer for pre- and intraoperative imaging in cancer surgery |
title_full_unstemmed |
uPAR-targeted multimodal tracer for pre- and intraoperative imaging in cancer surgery |
title_sort |
upar-targeted multimodal tracer for pre- and intraoperative imaging in cancer surgery |
description |
Pre- and intraoperative diagnostic techniques facilitating tumor staging are of paramount importance in colorectal cancer surgery. The urokinase receptor (uPAR) plays an important role in the development of cancer, tumor invasion, angiogenesis, and metastasis and over-expression is found in the majority of carcinomas. This study aims to develop the first clinically relevant anti-uPAR antibody-based imaging agent that combines nuclear (111In) and real-time near-infrared (NIR) fluorescent imaging (ZW800-1). Conjugation and binding capacities were investigated and validated in vitro using spectrophotometry and cell-based assays. In vivo, three human colorectal xenograft models were used including an orthotopic peritoneal carcinomatosis model to image small tumors. Nuclear and NIR fluorescent signals showed clear tumor delineation between 24h and 72h post-injection, with highest tumor-to-background ratios of 5.0 ± 1.3 at 72h using fluorescence and 4.2 ± 0.1 at 24h with radioactivity. 1-2 mm sized tumors could be clearly recognized by their fluorescent rim. This study showed the feasibility of an uPAR-recognizing multimodal agent to visualize tumors during image-guided resections using NIR fluorescence, whereas its nuclear component assisted in the pre-operative non-invasive recognition of tumors using SPECT imaging. This strategy can assist in surgical planning and subsequent precision surgery to reduce the number of incomplete resections. |
publisher |
Impact Journals LLC |
publishDate |
2015 |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4546465/ |
_version_ |
1613262735774056448 |