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Real-time prediction of patient immune cell modulation during irreversible electroporation therapy

Immunotherapies have demonstrated limited efficacy in pancreatic ductal adenocarcinoma (PDAC) patients despite their success in treating other tumor types. This limitation is largely due to the relatively immunosuppressive environment surrounding the tumor. A focal ablative technique called irrevers...

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Autores principales: Beitel-White, N., Martin, R. C. G., Li, Y., Brock, R. M., Allen, I. C., Davalos, R. V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882846/
https://www.ncbi.nlm.nih.gov/pubmed/31780711
http://dx.doi.org/10.1038/s41598-019-53974-w
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author Beitel-White, N.
Martin, R. C. G.
Li, Y.
Brock, R. M.
Allen, I. C.
Davalos, R. V.
author_facet Beitel-White, N.
Martin, R. C. G.
Li, Y.
Brock, R. M.
Allen, I. C.
Davalos, R. V.
author_sort Beitel-White, N.
collection PubMed
description Immunotherapies have demonstrated limited efficacy in pancreatic ductal adenocarcinoma (PDAC) patients despite their success in treating other tumor types. This limitation is largely due to the relatively immunosuppressive environment surrounding the tumor. A focal ablative technique called irreversible electroporation (IRE) has been shown to modulate this environment, enhancing the efficacy of immunotherapy. One enhancing factor related to improved prognosis is a decrease in regulatory T cells (T(reg)). This decrease has been previously unpredictable for clinicians using IRE, who currently have limited real-time metrics for determining the activation of the patient’s immune response. Here, we report that larger overall changes in output current are correlated with larger decreases in T cell populations 24 hours post-treatment. This result suggests that clinicians can make real-time decisions regarding optimal follow-up therapy based on the range of output current delivered during treatment. This capability could maximize the immunomodulating effect of IRE in synergy with follow-up immunotherapy. Additionally, these results suggest that feedback from a preliminary IRE treatment of the local tumor may help inform clinicians regarding the timing and choice of subsequent therapies, such as resection, immunotherapy, chemotherapy, or follow-up thermal or non-thermal ablation.
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spelling pubmed-68828462019-12-06 Real-time prediction of patient immune cell modulation during irreversible electroporation therapy Beitel-White, N. Martin, R. C. G. Li, Y. Brock, R. M. Allen, I. C. Davalos, R. V. Sci Rep Article Immunotherapies have demonstrated limited efficacy in pancreatic ductal adenocarcinoma (PDAC) patients despite their success in treating other tumor types. This limitation is largely due to the relatively immunosuppressive environment surrounding the tumor. A focal ablative technique called irreversible electroporation (IRE) has been shown to modulate this environment, enhancing the efficacy of immunotherapy. One enhancing factor related to improved prognosis is a decrease in regulatory T cells (T(reg)). This decrease has been previously unpredictable for clinicians using IRE, who currently have limited real-time metrics for determining the activation of the patient’s immune response. Here, we report that larger overall changes in output current are correlated with larger decreases in T cell populations 24 hours post-treatment. This result suggests that clinicians can make real-time decisions regarding optimal follow-up therapy based on the range of output current delivered during treatment. This capability could maximize the immunomodulating effect of IRE in synergy with follow-up immunotherapy. Additionally, these results suggest that feedback from a preliminary IRE treatment of the local tumor may help inform clinicians regarding the timing and choice of subsequent therapies, such as resection, immunotherapy, chemotherapy, or follow-up thermal or non-thermal ablation. Nature Publishing Group UK 2019-11-28 /pmc/articles/PMC6882846/ /pubmed/31780711 http://dx.doi.org/10.1038/s41598-019-53974-w Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Beitel-White, N.
Martin, R. C. G.
Li, Y.
Brock, R. M.
Allen, I. C.
Davalos, R. V.
Real-time prediction of patient immune cell modulation during irreversible electroporation therapy
title Real-time prediction of patient immune cell modulation during irreversible electroporation therapy
title_full Real-time prediction of patient immune cell modulation during irreversible electroporation therapy
title_fullStr Real-time prediction of patient immune cell modulation during irreversible electroporation therapy
title_full_unstemmed Real-time prediction of patient immune cell modulation during irreversible electroporation therapy
title_short Real-time prediction of patient immune cell modulation during irreversible electroporation therapy
title_sort real-time prediction of patient immune cell modulation during irreversible electroporation therapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882846/
https://www.ncbi.nlm.nih.gov/pubmed/31780711
http://dx.doi.org/10.1038/s41598-019-53974-w
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