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Multiparametric Magnetic Resonance Imaging and Metabolic Characterization of Patient-Derived Xenograft Models of Clear Cell Renal Cell Carcinoma

Patient-derived xenografts (PDX) are high-fidelity cancer models typically credentialled by genomics, transcriptomics and proteomics. Characterization of metabolic reprogramming, a hallmark of cancer, is less frequent. Dysregulated metabolism is a key feature of clear cell renal cell carcinoma (ccRC...

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Autores principales: Agudelo, Joao Piraquive, Upadhyay, Deepti, Zhang, Dalin, Zhao, Hongjuan, Nolley, Rosalie, Sun, Jinny, Agarwal, Shubhangi, Bok, Robert A., Vigneron, Daniel B., Brooks, James D., Kurhanewicz, John, Peehl, Donna M., Sriram, Renuka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9692472/
https://www.ncbi.nlm.nih.gov/pubmed/36422257
http://dx.doi.org/10.3390/metabo12111117
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author Agudelo, Joao Piraquive
Upadhyay, Deepti
Zhang, Dalin
Zhao, Hongjuan
Nolley, Rosalie
Sun, Jinny
Agarwal, Shubhangi
Bok, Robert A.
Vigneron, Daniel B.
Brooks, James D.
Kurhanewicz, John
Peehl, Donna M.
Sriram, Renuka
author_facet Agudelo, Joao Piraquive
Upadhyay, Deepti
Zhang, Dalin
Zhao, Hongjuan
Nolley, Rosalie
Sun, Jinny
Agarwal, Shubhangi
Bok, Robert A.
Vigneron, Daniel B.
Brooks, James D.
Kurhanewicz, John
Peehl, Donna M.
Sriram, Renuka
author_sort Agudelo, Joao Piraquive
collection PubMed
description Patient-derived xenografts (PDX) are high-fidelity cancer models typically credentialled by genomics, transcriptomics and proteomics. Characterization of metabolic reprogramming, a hallmark of cancer, is less frequent. Dysregulated metabolism is a key feature of clear cell renal cell carcinoma (ccRCC) and authentic preclinical models are needed to evaluate novel imaging and therapeutic approaches targeting metabolism. We characterized 5 PDX from high-grade or metastatic ccRCC by multiparametric magnetic resonance imaging (MRI) and steady state metabolic profiling and flux analysis. Similar to MRI of clinical ccRCC, T(2)-weighted images of orthotopic tumors of most PDX were homogeneous. The increased hyperintense (cystic) areas observed in one PDX mimicked the cystic phenotype typical of some RCC. The negligible hypointense (necrotic) areas of PDX grown under the highly vascularized renal capsule are beneficial for preclinical studies. Mean apparent diffusion coefficient (ADC) values were equivalent to those of ccRCC in human patients. Hyperpolarized (HP) [1-(13)C]pyruvate MRI of PDX showed high glycolytic activity typical of high-grade primary and metastatic ccRCC with considerable intra- and inter-tumoral variability, as has been observed in clinical HP MRI of ccRCC. Comparison of steady state metabolite concentrations and metabolic flux in [U-(13)C]glucose-labeled tumors highlighted the distinctive phenotypes of two PDX with elevated levels of numerous metabolites and increased fractional enrichment of lactate and/or glutamate, capturing the metabolic heterogeneity of glycolysis and the TCA cycle in clinical ccRCC. Culturing PDX cells and reimplanting to generate xenografts (XEN), or passaging PDX in vivo, altered some imaging and metabolic characteristics while transcription remained like that of the original PDX. These findings show that PDX are realistic models of ccRCC for imaging and metabolic studies but that the plasticity of metabolism must be considered when manipulating PDX for preclinical studies.
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spelling pubmed-96924722022-11-26 Multiparametric Magnetic Resonance Imaging and Metabolic Characterization of Patient-Derived Xenograft Models of Clear Cell Renal Cell Carcinoma Agudelo, Joao Piraquive Upadhyay, Deepti Zhang, Dalin Zhao, Hongjuan Nolley, Rosalie Sun, Jinny Agarwal, Shubhangi Bok, Robert A. Vigneron, Daniel B. Brooks, James D. Kurhanewicz, John Peehl, Donna M. Sriram, Renuka Metabolites Article Patient-derived xenografts (PDX) are high-fidelity cancer models typically credentialled by genomics, transcriptomics and proteomics. Characterization of metabolic reprogramming, a hallmark of cancer, is less frequent. Dysregulated metabolism is a key feature of clear cell renal cell carcinoma (ccRCC) and authentic preclinical models are needed to evaluate novel imaging and therapeutic approaches targeting metabolism. We characterized 5 PDX from high-grade or metastatic ccRCC by multiparametric magnetic resonance imaging (MRI) and steady state metabolic profiling and flux analysis. Similar to MRI of clinical ccRCC, T(2)-weighted images of orthotopic tumors of most PDX were homogeneous. The increased hyperintense (cystic) areas observed in one PDX mimicked the cystic phenotype typical of some RCC. The negligible hypointense (necrotic) areas of PDX grown under the highly vascularized renal capsule are beneficial for preclinical studies. Mean apparent diffusion coefficient (ADC) values were equivalent to those of ccRCC in human patients. Hyperpolarized (HP) [1-(13)C]pyruvate MRI of PDX showed high glycolytic activity typical of high-grade primary and metastatic ccRCC with considerable intra- and inter-tumoral variability, as has been observed in clinical HP MRI of ccRCC. Comparison of steady state metabolite concentrations and metabolic flux in [U-(13)C]glucose-labeled tumors highlighted the distinctive phenotypes of two PDX with elevated levels of numerous metabolites and increased fractional enrichment of lactate and/or glutamate, capturing the metabolic heterogeneity of glycolysis and the TCA cycle in clinical ccRCC. Culturing PDX cells and reimplanting to generate xenografts (XEN), or passaging PDX in vivo, altered some imaging and metabolic characteristics while transcription remained like that of the original PDX. These findings show that PDX are realistic models of ccRCC for imaging and metabolic studies but that the plasticity of metabolism must be considered when manipulating PDX for preclinical studies. MDPI 2022-11-15 /pmc/articles/PMC9692472/ /pubmed/36422257 http://dx.doi.org/10.3390/metabo12111117 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Agudelo, Joao Piraquive
Upadhyay, Deepti
Zhang, Dalin
Zhao, Hongjuan
Nolley, Rosalie
Sun, Jinny
Agarwal, Shubhangi
Bok, Robert A.
Vigneron, Daniel B.
Brooks, James D.
Kurhanewicz, John
Peehl, Donna M.
Sriram, Renuka
Multiparametric Magnetic Resonance Imaging and Metabolic Characterization of Patient-Derived Xenograft Models of Clear Cell Renal Cell Carcinoma
title Multiparametric Magnetic Resonance Imaging and Metabolic Characterization of Patient-Derived Xenograft Models of Clear Cell Renal Cell Carcinoma
title_full Multiparametric Magnetic Resonance Imaging and Metabolic Characterization of Patient-Derived Xenograft Models of Clear Cell Renal Cell Carcinoma
title_fullStr Multiparametric Magnetic Resonance Imaging and Metabolic Characterization of Patient-Derived Xenograft Models of Clear Cell Renal Cell Carcinoma
title_full_unstemmed Multiparametric Magnetic Resonance Imaging and Metabolic Characterization of Patient-Derived Xenograft Models of Clear Cell Renal Cell Carcinoma
title_short Multiparametric Magnetic Resonance Imaging and Metabolic Characterization of Patient-Derived Xenograft Models of Clear Cell Renal Cell Carcinoma
title_sort multiparametric magnetic resonance imaging and metabolic characterization of patient-derived xenograft models of clear cell renal cell carcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9692472/
https://www.ncbi.nlm.nih.gov/pubmed/36422257
http://dx.doi.org/10.3390/metabo12111117
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