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Integrated Metabolomic and Transcriptomic Analysis of Modified Nucleosides for Biomarker Discovery in Clear Cell Renal Cell Carcinoma

Clear cell renal cell carcinoma (ccRCC) accounts for ~75% of kidney cancers. The biallelic inactivation of the von Hippel–Lindau tumor suppressor gene (VHL) is the truncal driver mutation of most cases of ccRCC. Cancer cells are metabolically reprogrammed and excrete modified nucleosides in larger a...

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Autores principales: Mohl, Daniel A., Lagies, Simon, Zodel, Kyra, Zumkeller, Matthias, Peighambari, Asin, Ganner, Athina, Plattner, Dietmar A., Neumann-Haefelin, Elke, Adlesic, Mojca, Frew, Ian J., Kammerer, Bernd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136813/
https://www.ncbi.nlm.nih.gov/pubmed/37190010
http://dx.doi.org/10.3390/cells12081102
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author Mohl, Daniel A.
Lagies, Simon
Zodel, Kyra
Zumkeller, Matthias
Peighambari, Asin
Ganner, Athina
Plattner, Dietmar A.
Neumann-Haefelin, Elke
Adlesic, Mojca
Frew, Ian J.
Kammerer, Bernd
author_facet Mohl, Daniel A.
Lagies, Simon
Zodel, Kyra
Zumkeller, Matthias
Peighambari, Asin
Ganner, Athina
Plattner, Dietmar A.
Neumann-Haefelin, Elke
Adlesic, Mojca
Frew, Ian J.
Kammerer, Bernd
author_sort Mohl, Daniel A.
collection PubMed
description Clear cell renal cell carcinoma (ccRCC) accounts for ~75% of kidney cancers. The biallelic inactivation of the von Hippel–Lindau tumor suppressor gene (VHL) is the truncal driver mutation of most cases of ccRCC. Cancer cells are metabolically reprogrammed and excrete modified nucleosides in larger amounts due to their increased RNA turnover. Modified nucleosides occur in RNAs and cannot be recycled by salvage pathways. Their potential as biomarkers has been demonstrated for breast or pancreatic cancer. To assess their suitability as biomarkers in ccRCC, we used an established murine ccRCC model, harboring Vhl, Trp53 and Rb1 (VPR) knockouts. Cell culture media of this ccRCC model and primary murine proximal tubular epithelial cells (PECs) were investigated by HPLC coupled to triple-quadrupole mass spectrometry using multiple-reaction monitoring. VPR cell lines were significantly distinguishable from PEC cell lines and excreted higher amounts of modified nucleosides such as pseudouridine, 5-methylcytidine or 2′-O-methylcytidine. The method’s reliability was confirmed in serum-starved VPR cells. RNA-sequencing revealed the upregulation of specific enzymes responsible for the formation of those modified nucleosides in the ccRCC model. These enzymes included Nsun2, Nsun5, Pus1, Pus7, Naf1 and Fbl. In this study, we identified potential biomarkers for ccRCC for validation in clinical trials.
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spelling pubmed-101368132023-04-28 Integrated Metabolomic and Transcriptomic Analysis of Modified Nucleosides for Biomarker Discovery in Clear Cell Renal Cell Carcinoma Mohl, Daniel A. Lagies, Simon Zodel, Kyra Zumkeller, Matthias Peighambari, Asin Ganner, Athina Plattner, Dietmar A. Neumann-Haefelin, Elke Adlesic, Mojca Frew, Ian J. Kammerer, Bernd Cells Article Clear cell renal cell carcinoma (ccRCC) accounts for ~75% of kidney cancers. The biallelic inactivation of the von Hippel–Lindau tumor suppressor gene (VHL) is the truncal driver mutation of most cases of ccRCC. Cancer cells are metabolically reprogrammed and excrete modified nucleosides in larger amounts due to their increased RNA turnover. Modified nucleosides occur in RNAs and cannot be recycled by salvage pathways. Their potential as biomarkers has been demonstrated for breast or pancreatic cancer. To assess their suitability as biomarkers in ccRCC, we used an established murine ccRCC model, harboring Vhl, Trp53 and Rb1 (VPR) knockouts. Cell culture media of this ccRCC model and primary murine proximal tubular epithelial cells (PECs) were investigated by HPLC coupled to triple-quadrupole mass spectrometry using multiple-reaction monitoring. VPR cell lines were significantly distinguishable from PEC cell lines and excreted higher amounts of modified nucleosides such as pseudouridine, 5-methylcytidine or 2′-O-methylcytidine. The method’s reliability was confirmed in serum-starved VPR cells. RNA-sequencing revealed the upregulation of specific enzymes responsible for the formation of those modified nucleosides in the ccRCC model. These enzymes included Nsun2, Nsun5, Pus1, Pus7, Naf1 and Fbl. In this study, we identified potential biomarkers for ccRCC for validation in clinical trials. MDPI 2023-04-07 /pmc/articles/PMC10136813/ /pubmed/37190010 http://dx.doi.org/10.3390/cells12081102 Text en © 2023 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
Mohl, Daniel A.
Lagies, Simon
Zodel, Kyra
Zumkeller, Matthias
Peighambari, Asin
Ganner, Athina
Plattner, Dietmar A.
Neumann-Haefelin, Elke
Adlesic, Mojca
Frew, Ian J.
Kammerer, Bernd
Integrated Metabolomic and Transcriptomic Analysis of Modified Nucleosides for Biomarker Discovery in Clear Cell Renal Cell Carcinoma
title Integrated Metabolomic and Transcriptomic Analysis of Modified Nucleosides for Biomarker Discovery in Clear Cell Renal Cell Carcinoma
title_full Integrated Metabolomic and Transcriptomic Analysis of Modified Nucleosides for Biomarker Discovery in Clear Cell Renal Cell Carcinoma
title_fullStr Integrated Metabolomic and Transcriptomic Analysis of Modified Nucleosides for Biomarker Discovery in Clear Cell Renal Cell Carcinoma
title_full_unstemmed Integrated Metabolomic and Transcriptomic Analysis of Modified Nucleosides for Biomarker Discovery in Clear Cell Renal Cell Carcinoma
title_short Integrated Metabolomic and Transcriptomic Analysis of Modified Nucleosides for Biomarker Discovery in Clear Cell Renal Cell Carcinoma
title_sort integrated metabolomic and transcriptomic analysis of modified nucleosides for biomarker discovery in clear cell renal cell carcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136813/
https://www.ncbi.nlm.nih.gov/pubmed/37190010
http://dx.doi.org/10.3390/cells12081102
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