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Identification of immunologic and clinical characteristics that predict inflammatory response to C. Novyi-NT bacteriolytic immunotherapy

BACKGROUND: Clostridium novyi-NT (CNV-NT), has shown promise as a bacterolytic therapy for solid tumors in mouse models and in dogs with naturally developing neoplasia. Factors that impact the immunologic response to therapy are largely unknown. The goal of this pilot study was to determine if plasm...

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Autores principales: DeClue, Amy E., Axiak-Bechtel, Sandra M., Zhang, Yan, Saha, Saurabh, Zhang, Linping, Tung, David D., Bryan, Jeffrey N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5879919/
https://www.ncbi.nlm.nih.gov/pubmed/29606140
http://dx.doi.org/10.1186/s12917-018-1424-1
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author DeClue, Amy E.
Axiak-Bechtel, Sandra M.
Zhang, Yan
Saha, Saurabh
Zhang, Linping
Tung, David D.
Bryan, Jeffrey N.
author_facet DeClue, Amy E.
Axiak-Bechtel, Sandra M.
Zhang, Yan
Saha, Saurabh
Zhang, Linping
Tung, David D.
Bryan, Jeffrey N.
author_sort DeClue, Amy E.
collection PubMed
description BACKGROUND: Clostridium novyi-NT (CNV-NT), has shown promise as a bacterolytic therapy for solid tumors in mouse models and in dogs with naturally developing neoplasia. Factors that impact the immunologic response to therapy are largely unknown. The goal of this pilot study was to determine if plasma immune biomarkers, immune cell function, peripheral blood cytological composition and tumor characteristics including evaluation of a PET imaging surrogate of tumor tissue hypoxia could predict which dogs with naturally developing naïve neoplasia would develop an inflammatory response to CNV-NT. RESULTS: Dogs that developed an inflammatory response to CNV-NT had a higher heart rate, larger gross tumor volume, greater tumor [(64)Cu]ATSM SUV(Max), increased constitutive leukocyte IL-10 production, more robust NK cell-like function and greater peripheral blood lymphocyte counts compared to dogs that did not develop an inflammatory response to CNV-NT. Of these, unstimulated leukocyte IL-10 production, heart rate, and gross tumor volume appeared to be the best predictors of which dogs will develop an inflammatory response to CNV-NT. CONCLUSIONS: Development of inflammation in response to CNV-NT is best predicted by pretreatment unstimulated leukocyte IL-10 production, heart rate, and gross tumor volume.
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spelling pubmed-58799192018-04-04 Identification of immunologic and clinical characteristics that predict inflammatory response to C. Novyi-NT bacteriolytic immunotherapy DeClue, Amy E. Axiak-Bechtel, Sandra M. Zhang, Yan Saha, Saurabh Zhang, Linping Tung, David D. Bryan, Jeffrey N. BMC Vet Res Research Article BACKGROUND: Clostridium novyi-NT (CNV-NT), has shown promise as a bacterolytic therapy for solid tumors in mouse models and in dogs with naturally developing neoplasia. Factors that impact the immunologic response to therapy are largely unknown. The goal of this pilot study was to determine if plasma immune biomarkers, immune cell function, peripheral blood cytological composition and tumor characteristics including evaluation of a PET imaging surrogate of tumor tissue hypoxia could predict which dogs with naturally developing naïve neoplasia would develop an inflammatory response to CNV-NT. RESULTS: Dogs that developed an inflammatory response to CNV-NT had a higher heart rate, larger gross tumor volume, greater tumor [(64)Cu]ATSM SUV(Max), increased constitutive leukocyte IL-10 production, more robust NK cell-like function and greater peripheral blood lymphocyte counts compared to dogs that did not develop an inflammatory response to CNV-NT. Of these, unstimulated leukocyte IL-10 production, heart rate, and gross tumor volume appeared to be the best predictors of which dogs will develop an inflammatory response to CNV-NT. CONCLUSIONS: Development of inflammation in response to CNV-NT is best predicted by pretreatment unstimulated leukocyte IL-10 production, heart rate, and gross tumor volume. BioMed Central 2018-04-02 /pmc/articles/PMC5879919/ /pubmed/29606140 http://dx.doi.org/10.1186/s12917-018-1424-1 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
DeClue, Amy E.
Axiak-Bechtel, Sandra M.
Zhang, Yan
Saha, Saurabh
Zhang, Linping
Tung, David D.
Bryan, Jeffrey N.
Identification of immunologic and clinical characteristics that predict inflammatory response to C. Novyi-NT bacteriolytic immunotherapy
title Identification of immunologic and clinical characteristics that predict inflammatory response to C. Novyi-NT bacteriolytic immunotherapy
title_full Identification of immunologic and clinical characteristics that predict inflammatory response to C. Novyi-NT bacteriolytic immunotherapy
title_fullStr Identification of immunologic and clinical characteristics that predict inflammatory response to C. Novyi-NT bacteriolytic immunotherapy
title_full_unstemmed Identification of immunologic and clinical characteristics that predict inflammatory response to C. Novyi-NT bacteriolytic immunotherapy
title_short Identification of immunologic and clinical characteristics that predict inflammatory response to C. Novyi-NT bacteriolytic immunotherapy
title_sort identification of immunologic and clinical characteristics that predict inflammatory response to c. novyi-nt bacteriolytic immunotherapy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5879919/
https://www.ncbi.nlm.nih.gov/pubmed/29606140
http://dx.doi.org/10.1186/s12917-018-1424-1
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