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Evaluation of pancreatic tumor development in KPC mice using multi-parametric MRI

BACKGROUND: Pancreatic ductal adenocarcinoma (PDA) is a fatal disease with very poor prognosis. Development of sensitive and noninvasive methods to monitor tumor progression in PDA is a critical and unmet need. Magnetic resonance imaging (MRI) can noninvasively provide information regarding underlyi...

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Autores principales: Vohra, Ravneet, Park, Joshua, Wang, Yak-Nam, Gravelle, Kayla, Whang, Stella, Hwang, Joo-Ha, Lee, Donghoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6225661/
https://www.ncbi.nlm.nih.gov/pubmed/30409175
http://dx.doi.org/10.1186/s40644-018-0172-6
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author Vohra, Ravneet
Park, Joshua
Wang, Yak-Nam
Gravelle, Kayla
Whang, Stella
Hwang, Joo-Ha
Lee, Donghoon
author_facet Vohra, Ravneet
Park, Joshua
Wang, Yak-Nam
Gravelle, Kayla
Whang, Stella
Hwang, Joo-Ha
Lee, Donghoon
author_sort Vohra, Ravneet
collection PubMed
description BACKGROUND: Pancreatic ductal adenocarcinoma (PDA) is a fatal disease with very poor prognosis. Development of sensitive and noninvasive methods to monitor tumor progression in PDA is a critical and unmet need. Magnetic resonance imaging (MRI) can noninvasively provide information regarding underlying pathophysiological processes such as necrosis, inflammatory changes and fibrotic tissue deposition. METHODS: A genetically engineered KPC mouse model that recapitulates human PDA was used to characterize disease progression. MR measures of T(1) and T(2) relaxation times, magnetization transfer ratio (MTR), diffusion and chemical exchange saturation transfer were compared in two separate phases i.e. slow and rapid growth phase of tumor. Fibrotic tissue accumulation was assessed histologically using Masson’s trichrome staining. Pearson correlation coefficient (r) was computed to assess the relationship between the fibrotic tissue accumulation and different MR parameters. RESULTS: There was a negative correlation between amide proton transfer signal intensity and tumor volume (r = − 0.63, p = 0.003) in the slow growth phase of the tumor development. In the terminal stage of rapid growth phase of the tumor development MTR was strongly correlated with tumor volume (r = 0.62, p = 0.008). Finally, MTR was significantly correlated with % fibrosis (r = 0.87; p < 0.01), followed by moderate correlation between tumor volume (r = 0.42); T(1) (r = − 0.61), T(2) (r = − 0.61) and accumulation of fibrotic tissue. CONCLUSIONS: Here we demonstrated, using multi-parametric MRI (mp-MRI), that MRI parameters changed with tumor progression in a mouse model of PDA. Use of mp-MRI may have the potential to monitor the dynamic changes of tumor microenvironment with increase in tumor size in the transgenic KPC mouse model of pancreatic tumor. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40644-018-0172-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-62256612018-11-19 Evaluation of pancreatic tumor development in KPC mice using multi-parametric MRI Vohra, Ravneet Park, Joshua Wang, Yak-Nam Gravelle, Kayla Whang, Stella Hwang, Joo-Ha Lee, Donghoon Cancer Imaging Research Article BACKGROUND: Pancreatic ductal adenocarcinoma (PDA) is a fatal disease with very poor prognosis. Development of sensitive and noninvasive methods to monitor tumor progression in PDA is a critical and unmet need. Magnetic resonance imaging (MRI) can noninvasively provide information regarding underlying pathophysiological processes such as necrosis, inflammatory changes and fibrotic tissue deposition. METHODS: A genetically engineered KPC mouse model that recapitulates human PDA was used to characterize disease progression. MR measures of T(1) and T(2) relaxation times, magnetization transfer ratio (MTR), diffusion and chemical exchange saturation transfer were compared in two separate phases i.e. slow and rapid growth phase of tumor. Fibrotic tissue accumulation was assessed histologically using Masson’s trichrome staining. Pearson correlation coefficient (r) was computed to assess the relationship between the fibrotic tissue accumulation and different MR parameters. RESULTS: There was a negative correlation between amide proton transfer signal intensity and tumor volume (r = − 0.63, p = 0.003) in the slow growth phase of the tumor development. In the terminal stage of rapid growth phase of the tumor development MTR was strongly correlated with tumor volume (r = 0.62, p = 0.008). Finally, MTR was significantly correlated with % fibrosis (r = 0.87; p < 0.01), followed by moderate correlation between tumor volume (r = 0.42); T(1) (r = − 0.61), T(2) (r = − 0.61) and accumulation of fibrotic tissue. CONCLUSIONS: Here we demonstrated, using multi-parametric MRI (mp-MRI), that MRI parameters changed with tumor progression in a mouse model of PDA. Use of mp-MRI may have the potential to monitor the dynamic changes of tumor microenvironment with increase in tumor size in the transgenic KPC mouse model of pancreatic tumor. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40644-018-0172-6) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-08 /pmc/articles/PMC6225661/ /pubmed/30409175 http://dx.doi.org/10.1186/s40644-018-0172-6 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
Vohra, Ravneet
Park, Joshua
Wang, Yak-Nam
Gravelle, Kayla
Whang, Stella
Hwang, Joo-Ha
Lee, Donghoon
Evaluation of pancreatic tumor development in KPC mice using multi-parametric MRI
title Evaluation of pancreatic tumor development in KPC mice using multi-parametric MRI
title_full Evaluation of pancreatic tumor development in KPC mice using multi-parametric MRI
title_fullStr Evaluation of pancreatic tumor development in KPC mice using multi-parametric MRI
title_full_unstemmed Evaluation of pancreatic tumor development in KPC mice using multi-parametric MRI
title_short Evaluation of pancreatic tumor development in KPC mice using multi-parametric MRI
title_sort evaluation of pancreatic tumor development in kpc mice using multi-parametric mri
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6225661/
https://www.ncbi.nlm.nih.gov/pubmed/30409175
http://dx.doi.org/10.1186/s40644-018-0172-6
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