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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Main Authors: Marie-France Penet, Samata Kakkad, Flonné Wildes, Zaver M. Bhujwalla
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Oncology
Subjects:
MRS
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2020.599204/full
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spelling doaj-df3f5df137bf46df9a7f97537bcc475e2021-01-27T09:13:05ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-01-011010.3389/fonc.2020.599204599204Water and Collagen Content Are High in Pancreatic Cancer: Implications for Quantitative Metabolic ImagingMarie-France Penet0Marie-France Penet1Samata Kakkad2Flonné Wildes3Zaver M. Bhujwalla4Zaver M. Bhujwalla5Zaver M. Bhujwalla6Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United StatesSidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, United StatesDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United StatesDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United StatesDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United StatesSidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, United StatesDepartment of Radiation Oncology and Molecular Radiation Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United StatesIn 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.https://www.frontiersin.org/articles/10.3389/fonc.2020.599204/fullpancreatic cancertotal cholineMRScollagenwater content
collection DOAJ
language English
format Article
sources DOAJ
author Marie-France Penet
Marie-France Penet
Samata Kakkad
Flonné Wildes
Zaver M. Bhujwalla
Zaver M. Bhujwalla
Zaver M. Bhujwalla
spellingShingle Marie-France Penet
Marie-France Penet
Samata Kakkad
Flonné Wildes
Zaver M. Bhujwalla
Zaver M. Bhujwalla
Zaver M. Bhujwalla
Water and Collagen Content Are High in Pancreatic Cancer: Implications for Quantitative Metabolic Imaging
Frontiers in Oncology
pancreatic cancer
total choline
MRS
collagen
water content
author_facet Marie-France Penet
Marie-France Penet
Samata Kakkad
Flonné Wildes
Zaver M. Bhujwalla
Zaver M. Bhujwalla
Zaver M. Bhujwalla
author_sort Marie-France Penet
title 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_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_sort water and collagen content are high in pancreatic cancer: implications for quantitative metabolic imaging
publisher Frontiers Media S.A.
series Frontiers in Oncology
issn 2234-943X
publishDate 2021-01-01
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.
topic pancreatic cancer
total choline
MRS
collagen
water content
url https://www.frontiersin.org/articles/10.3389/fonc.2020.599204/full
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