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Hyperpolarized in vivo pH imaging reveals grade-dependent acidification in prostate cancer

There is an unmet clinical need for new and robust imaging biomarkers to distinguish indolent from aggressive prostate cancer. Hallmarks of aggressive tumors such as a decrease in extracellular pH (pH(e)) can potentially be used to identify aggressive phenotypes. In this study, we employ an optimize...

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Autores principales: Korenchan, David E., Bok, Robert, Sriram, Renuka, Liu, Kristina, Santos, Romelyn Delos, Qin, Hecong, Lobach, Iryna, Korn, Natalie, Wilson, David M., Kurhanewicz, John, Flavell, Robert R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6817439/
https://www.ncbi.nlm.nih.gov/pubmed/31692908
http://dx.doi.org/10.18632/oncotarget.27225
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author Korenchan, David E.
Bok, Robert
Sriram, Renuka
Liu, Kristina
Santos, Romelyn Delos
Qin, Hecong
Lobach, Iryna
Korn, Natalie
Wilson, David M.
Kurhanewicz, John
Flavell, Robert R.
author_facet Korenchan, David E.
Bok, Robert
Sriram, Renuka
Liu, Kristina
Santos, Romelyn Delos
Qin, Hecong
Lobach, Iryna
Korn, Natalie
Wilson, David M.
Kurhanewicz, John
Flavell, Robert R.
author_sort Korenchan, David E.
collection PubMed
description There is an unmet clinical need for new and robust imaging biomarkers to distinguish indolent from aggressive prostate cancer. Hallmarks of aggressive tumors such as a decrease in extracellular pH (pH(e)) can potentially be used to identify aggressive phenotypes. In this study, we employ an optimized, high signal-to-noise ratio hyperpolarized (HP) (13)C pH(e) imaging method to discriminate between indolent and aggressive disease in a murine model of prostate cancer. Transgenic adenocarcinoma of the mouse prostate (TRAMP) mice underwent a multiparametric MR imaging exam, including HP [(13)C] bicarbonate MRI for pH(e), with (1)H apparent diffusion coefficient (ADC) mapping and HP [1-(13)C] pyruvate MRI to study lactate metabolism. Tumor tissue was excised for histological staining and qRT-PCR to quantify mRNA expression for relevant glycolytic enzymes and transporters. We observed good separation in pH(e) between low- and high-grade tumor regions, with high-grade tumors demonstrating a lower pH(e). The pH(e) also correlated strongly with monocarboxylate transporter Mct4 gene expression across all tumors, suggesting that lactate export via MCT4 is associated with acidification in this model. Our results implicate extracellular acidification as an indicator of indolent-to-aggressive transition in prostate cancer and suggest feasibility of HP pH(e) imaging to detect high-grade, clinically significant disease in men as part of a multiparametric MRI examination.
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spelling pubmed-68174392019-11-05 Hyperpolarized in vivo pH imaging reveals grade-dependent acidification in prostate cancer Korenchan, David E. Bok, Robert Sriram, Renuka Liu, Kristina Santos, Romelyn Delos Qin, Hecong Lobach, Iryna Korn, Natalie Wilson, David M. Kurhanewicz, John Flavell, Robert R. Oncotarget Research Paper There is an unmet clinical need for new and robust imaging biomarkers to distinguish indolent from aggressive prostate cancer. Hallmarks of aggressive tumors such as a decrease in extracellular pH (pH(e)) can potentially be used to identify aggressive phenotypes. In this study, we employ an optimized, high signal-to-noise ratio hyperpolarized (HP) (13)C pH(e) imaging method to discriminate between indolent and aggressive disease in a murine model of prostate cancer. Transgenic adenocarcinoma of the mouse prostate (TRAMP) mice underwent a multiparametric MR imaging exam, including HP [(13)C] bicarbonate MRI for pH(e), with (1)H apparent diffusion coefficient (ADC) mapping and HP [1-(13)C] pyruvate MRI to study lactate metabolism. Tumor tissue was excised for histological staining and qRT-PCR to quantify mRNA expression for relevant glycolytic enzymes and transporters. We observed good separation in pH(e) between low- and high-grade tumor regions, with high-grade tumors demonstrating a lower pH(e). The pH(e) also correlated strongly with monocarboxylate transporter Mct4 gene expression across all tumors, suggesting that lactate export via MCT4 is associated with acidification in this model. Our results implicate extracellular acidification as an indicator of indolent-to-aggressive transition in prostate cancer and suggest feasibility of HP pH(e) imaging to detect high-grade, clinically significant disease in men as part of a multiparametric MRI examination. Impact Journals LLC 2019-10-22 /pmc/articles/PMC6817439/ /pubmed/31692908 http://dx.doi.org/10.18632/oncotarget.27225 Text en Copyright: © 2019 Korenchan et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Korenchan, David E.
Bok, Robert
Sriram, Renuka
Liu, Kristina
Santos, Romelyn Delos
Qin, Hecong
Lobach, Iryna
Korn, Natalie
Wilson, David M.
Kurhanewicz, John
Flavell, Robert R.
Hyperpolarized in vivo pH imaging reveals grade-dependent acidification in prostate cancer
title Hyperpolarized in vivo pH imaging reveals grade-dependent acidification in prostate cancer
title_full Hyperpolarized in vivo pH imaging reveals grade-dependent acidification in prostate cancer
title_fullStr Hyperpolarized in vivo pH imaging reveals grade-dependent acidification in prostate cancer
title_full_unstemmed Hyperpolarized in vivo pH imaging reveals grade-dependent acidification in prostate cancer
title_short Hyperpolarized in vivo pH imaging reveals grade-dependent acidification in prostate cancer
title_sort hyperpolarized in vivo ph imaging reveals grade-dependent acidification in prostate cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6817439/
https://www.ncbi.nlm.nih.gov/pubmed/31692908
http://dx.doi.org/10.18632/oncotarget.27225
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