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Using MRI to evaluate and predict therapeutic success from depot-based cancer vaccines
In the preclinical development of immunotherapy candidates, understanding the mechanism of action and determining biomarkers that accurately characterize the induced host immune responses is critical to improving their clinical interpretation. Magnetic resonance imaging (MRI) was used to evaluate in...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4685660/ https://www.ncbi.nlm.nih.gov/pubmed/26730395 http://dx.doi.org/10.1038/mtm.2015.48 |
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author | DeBay, Drew R Brewer, Kimberly D LeBlanc, Sarah A Weir, Genevieve M Stanford, Marianne M Mansour, Marc Bowen, Chris V |
author_facet | DeBay, Drew R Brewer, Kimberly D LeBlanc, Sarah A Weir, Genevieve M Stanford, Marianne M Mansour, Marc Bowen, Chris V |
author_sort | DeBay, Drew R |
collection | PubMed |
description | In the preclinical development of immunotherapy candidates, understanding the mechanism of action and determining biomarkers that accurately characterize the induced host immune responses is critical to improving their clinical interpretation. Magnetic resonance imaging (MRI) was used to evaluate in vivo changes in lymph node size in response to a peptide-based cancer vaccine therapy, formulated using DepoVax (DPX). DPX is a novel adjuvant lipid-in-oil–based formulation that facilitates enhanced immune responses by retaining antigens at the injection site for extended latencies, promoting increased potentiation of immune cells. C57BL/6 mice were implanted with C3 (HPV) tumor cells and received either DPX or control treatments, 5 days post-implantation. Complete tumor eradication occurred in DPX-vaccinated animals and large volumetric increases were observed in the vaccine-draining right inguinal lymph node (V(RILN)) in DPX mice, likely corresponding to increased localized immune response to the vaccine. Upon evaluating the relative measure of vaccine-potentiated immune activation to tumor-induced immune response (V(RILN)/V(LILN)), receiver-operating characteristic (ROC) curves revealed an area under the curve (AUC) of 0.90 (±0.07), indicating high specificity and sensitivity as a predictive biomarker of vaccine efficacy. We have determined that for this tumor model, early MRI lymph node volumetric changes are predictive of depot immunotherapeutic success. |
format | Online Article Text |
id | pubmed-4685660 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46856602016-01-04 Using MRI to evaluate and predict therapeutic success from depot-based cancer vaccines DeBay, Drew R Brewer, Kimberly D LeBlanc, Sarah A Weir, Genevieve M Stanford, Marianne M Mansour, Marc Bowen, Chris V Mol Ther Methods Clin Dev Article In the preclinical development of immunotherapy candidates, understanding the mechanism of action and determining biomarkers that accurately characterize the induced host immune responses is critical to improving their clinical interpretation. Magnetic resonance imaging (MRI) was used to evaluate in vivo changes in lymph node size in response to a peptide-based cancer vaccine therapy, formulated using DepoVax (DPX). DPX is a novel adjuvant lipid-in-oil–based formulation that facilitates enhanced immune responses by retaining antigens at the injection site for extended latencies, promoting increased potentiation of immune cells. C57BL/6 mice were implanted with C3 (HPV) tumor cells and received either DPX or control treatments, 5 days post-implantation. Complete tumor eradication occurred in DPX-vaccinated animals and large volumetric increases were observed in the vaccine-draining right inguinal lymph node (V(RILN)) in DPX mice, likely corresponding to increased localized immune response to the vaccine. Upon evaluating the relative measure of vaccine-potentiated immune activation to tumor-induced immune response (V(RILN)/V(LILN)), receiver-operating characteristic (ROC) curves revealed an area under the curve (AUC) of 0.90 (±0.07), indicating high specificity and sensitivity as a predictive biomarker of vaccine efficacy. We have determined that for this tumor model, early MRI lymph node volumetric changes are predictive of depot immunotherapeutic success. Nature Publishing Group 2015-12-16 /pmc/articles/PMC4685660/ /pubmed/26730395 http://dx.doi.org/10.1038/mtm.2015.48 Text en Copyright © 2015 Official journal of the American Society of Gene & Cell Therapy http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article DeBay, Drew R Brewer, Kimberly D LeBlanc, Sarah A Weir, Genevieve M Stanford, Marianne M Mansour, Marc Bowen, Chris V Using MRI to evaluate and predict therapeutic success from depot-based cancer vaccines |
title | Using MRI to evaluate and predict therapeutic success from depot-based cancer vaccines |
title_full | Using MRI to evaluate and predict therapeutic success from depot-based cancer vaccines |
title_fullStr | Using MRI to evaluate and predict therapeutic success from depot-based cancer vaccines |
title_full_unstemmed | Using MRI to evaluate and predict therapeutic success from depot-based cancer vaccines |
title_short | Using MRI to evaluate and predict therapeutic success from depot-based cancer vaccines |
title_sort | using mri to evaluate and predict therapeutic success from depot-based cancer vaccines |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4685660/ https://www.ncbi.nlm.nih.gov/pubmed/26730395 http://dx.doi.org/10.1038/mtm.2015.48 |
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