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Water and Collagen Content Are High in Pancreatic Cancer: Implications for Quantitative Metabolic Imaging

In magnetic resonance metabolic imaging, signal from the water content is frequently used for normalization to derive quantitative or semi-quantitative values of metabolites in vivo or ex vivo tumors and tissues. Ex vivo high-resolution metabolic characterization of tumors with magnetic resonance sp...

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Autores principales: Penet, Marie-France, Kakkad, Samata, Wildes, Flonné, Bhujwalla, Zaver M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873637/
https://www.ncbi.nlm.nih.gov/pubmed/33585215
http://dx.doi.org/10.3389/fonc.2020.599204
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author Penet, Marie-France
Kakkad, Samata
Wildes, Flonné
Bhujwalla, Zaver M.
author_facet Penet, Marie-France
Kakkad, Samata
Wildes, Flonné
Bhujwalla, Zaver M.
author_sort Penet, Marie-France
collection PubMed
description In magnetic resonance metabolic imaging, signal from the water content is frequently used for normalization to derive quantitative or semi-quantitative values of metabolites in vivo or ex vivo tumors and tissues. Ex vivo high-resolution metabolic characterization of tumors with magnetic resonance spectroscopy (MRS) provides valuable information that can be used to drive the development of noninvasive MRS biomarkers and to identify metabolic therapeutic targets. Variability in the water content between tumor and normal tissue can result in over or underestimation of metabolite concentrations when assuming a constant water content. Assuming a constant water content can lead to masking of differences between malignant and normal tissues both in vivo and ex vivo. There is a critical need to develop biomarkers to detect pancreatic cancer and to develop novel treatments. Our purpose here was to determine the differences in water content between pancreatic tumors and normal pancreatic tissue as well as other organs to accurately quantify metabolic differences when using the water signal for normalization. Our data identify the importance of factoring the differences in water content between tumors and organs. High-resolution proton spectra of tumors and pancreatic tissue extracts normalized to the water signal, assuming similar water content, did not reflect the significantly increased total choline observed in tumors in vivo without factoring the differences in water content. We identified significant differences in the collagen 1 content between Panc1 and BxPC3 pancreatic tumors and the pancreas that can contribute to the differences in water content that were observed.
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spelling pubmed-78736372021-02-11 Water and Collagen Content Are High in Pancreatic Cancer: Implications for Quantitative Metabolic Imaging Penet, Marie-France Kakkad, Samata Wildes, Flonné Bhujwalla, Zaver M. Front Oncol Oncology In magnetic resonance metabolic imaging, signal from the water content is frequently used for normalization to derive quantitative or semi-quantitative values of metabolites in vivo or ex vivo tumors and tissues. Ex vivo high-resolution metabolic characterization of tumors with magnetic resonance spectroscopy (MRS) provides valuable information that can be used to drive the development of noninvasive MRS biomarkers and to identify metabolic therapeutic targets. Variability in the water content between tumor and normal tissue can result in over or underestimation of metabolite concentrations when assuming a constant water content. Assuming a constant water content can lead to masking of differences between malignant and normal tissues both in vivo and ex vivo. There is a critical need to develop biomarkers to detect pancreatic cancer and to develop novel treatments. Our purpose here was to determine the differences in water content between pancreatic tumors and normal pancreatic tissue as well as other organs to accurately quantify metabolic differences when using the water signal for normalization. Our data identify the importance of factoring the differences in water content between tumors and organs. High-resolution proton spectra of tumors and pancreatic tissue extracts normalized to the water signal, assuming similar water content, did not reflect the significantly increased total choline observed in tumors in vivo without factoring the differences in water content. We identified significant differences in the collagen 1 content between Panc1 and BxPC3 pancreatic tumors and the pancreas that can contribute to the differences in water content that were observed. Frontiers Media S.A. 2021-01-27 /pmc/articles/PMC7873637/ /pubmed/33585215 http://dx.doi.org/10.3389/fonc.2020.599204 Text en Copyright © 2021 Penet, Kakkad, Wildes and Bhujwalla http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Penet, Marie-France
Kakkad, Samata
Wildes, Flonné
Bhujwalla, Zaver M.
Water and Collagen Content Are High in Pancreatic Cancer: Implications for Quantitative Metabolic Imaging
title Water and Collagen Content Are High in Pancreatic Cancer: Implications for Quantitative Metabolic Imaging
title_full Water and Collagen Content Are High in Pancreatic Cancer: Implications for Quantitative Metabolic Imaging
title_fullStr Water and Collagen Content Are High in Pancreatic Cancer: Implications for Quantitative Metabolic Imaging
title_full_unstemmed Water and Collagen Content Are High in Pancreatic Cancer: Implications for Quantitative Metabolic Imaging
title_short Water and Collagen Content Are High in Pancreatic Cancer: Implications for Quantitative Metabolic Imaging
title_sort water and collagen content are high in pancreatic cancer: implications for quantitative metabolic imaging
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873637/
https://www.ncbi.nlm.nih.gov/pubmed/33585215
http://dx.doi.org/10.3389/fonc.2020.599204
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