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Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence

Epithelial ovarian cancer is the most lethal gynecologic malignancy in the United States. Although patients initially respond to the current standard of care consisting of surgical debulking and combination chemotherapy consisting of platinum and taxane compounds, almost 90% of patients recur within...

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Autores principales: Sumi, Natalia J., Lima, Eydis, Pizzonia, John, Orton, Sean P., Craveiro, Vinicius, Joo, Wonduk, Holmberg, Jennie C., Gurrea, Marta, Yang-Hartwich, Yang, Alvero, Ayesha, Mor, Gil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MyJove Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4353409/
https://www.ncbi.nlm.nih.gov/pubmed/25407815
http://dx.doi.org/10.3791/51815
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author Sumi, Natalia J.
Lima, Eydis
Pizzonia, John
Orton, Sean P.
Craveiro, Vinicius
Joo, Wonduk
Holmberg, Jennie C.
Gurrea, Marta
Yang-Hartwich, Yang
Alvero, Ayesha
Mor, Gil
author_facet Sumi, Natalia J.
Lima, Eydis
Pizzonia, John
Orton, Sean P.
Craveiro, Vinicius
Joo, Wonduk
Holmberg, Jennie C.
Gurrea, Marta
Yang-Hartwich, Yang
Alvero, Ayesha
Mor, Gil
author_sort Sumi, Natalia J.
collection PubMed
description Epithelial ovarian cancer is the most lethal gynecologic malignancy in the United States. Although patients initially respond to the current standard of care consisting of surgical debulking and combination chemotherapy consisting of platinum and taxane compounds, almost 90% of patients recur within a few years. In these patients the development of chemoresistant disease limits the efficacy of currently available chemotherapy agents and therefore contributes to the high mortality. To discover novel therapy options that can target recurrent disease, appropriate animal models that closely mimic the clinical profile of patients with recurrent ovarian cancer are required. The challenge in monitoring intra-peritoneal (i.p.) disease limits the use of i.p. models and thus most xenografts are established subcutaneously. We have developed a sensitive optical imaging platform that allows the detection and anatomical location of i.p. tumor mass. The platform includes the use of optical reporters that extend from the visible light range to near infrared, which in combination with 2-dimensional X-ray co-registration can provide anatomical location of molecular signals. Detection is significantly improved by the use of a rotation system that drives the animal to multiple angular positions for 360 degree imaging, allowing the identification of tumors that are not visible in single orientation. This platform provides a unique model to non-invasively monitor tumor growth and evaluate the efficacy of new therapies for the prevention or treatment of recurrent ovarian cancer.
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spelling pubmed-43534092015-03-12 Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence Sumi, Natalia J. Lima, Eydis Pizzonia, John Orton, Sean P. Craveiro, Vinicius Joo, Wonduk Holmberg, Jennie C. Gurrea, Marta Yang-Hartwich, Yang Alvero, Ayesha Mor, Gil J Vis Exp Cancer Biology Epithelial ovarian cancer is the most lethal gynecologic malignancy in the United States. Although patients initially respond to the current standard of care consisting of surgical debulking and combination chemotherapy consisting of platinum and taxane compounds, almost 90% of patients recur within a few years. In these patients the development of chemoresistant disease limits the efficacy of currently available chemotherapy agents and therefore contributes to the high mortality. To discover novel therapy options that can target recurrent disease, appropriate animal models that closely mimic the clinical profile of patients with recurrent ovarian cancer are required. The challenge in monitoring intra-peritoneal (i.p.) disease limits the use of i.p. models and thus most xenografts are established subcutaneously. We have developed a sensitive optical imaging platform that allows the detection and anatomical location of i.p. tumor mass. The platform includes the use of optical reporters that extend from the visible light range to near infrared, which in combination with 2-dimensional X-ray co-registration can provide anatomical location of molecular signals. Detection is significantly improved by the use of a rotation system that drives the animal to multiple angular positions for 360 degree imaging, allowing the identification of tumors that are not visible in single orientation. This platform provides a unique model to non-invasively monitor tumor growth and evaluate the efficacy of new therapies for the prevention or treatment of recurrent ovarian cancer. MyJove Corporation 2014-11-02 /pmc/articles/PMC4353409/ /pubmed/25407815 http://dx.doi.org/10.3791/51815 Text en Copyright © 2014, Journal of Visualized Experiments http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visithttp://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Cancer Biology
Sumi, Natalia J.
Lima, Eydis
Pizzonia, John
Orton, Sean P.
Craveiro, Vinicius
Joo, Wonduk
Holmberg, Jennie C.
Gurrea, Marta
Yang-Hartwich, Yang
Alvero, Ayesha
Mor, Gil
Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence
title Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence
title_full Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence
title_fullStr Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence
title_full_unstemmed Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence
title_short Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence
title_sort murine model for non-invasive imaging to detect and monitor ovarian cancer recurrence
topic Cancer Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4353409/
https://www.ncbi.nlm.nih.gov/pubmed/25407815
http://dx.doi.org/10.3791/51815
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