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

Overview
Journal Cells
Publisher MDPI
Date 2023 May 16
PMID 37190010
Authors
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Abstract

Clear cell renal cell carcinoma (ccRCC) accounts for ~75% of kidney cancers. The biallelic inactivation of the von Hippel-Lindau tumor suppressor gene () 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 , and (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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References
1.
Xia J, Psychogios N, Young N, Wishart D . MetaboAnalyst: a web server for metabolomic data analysis and interpretation. Nucleic Acids Res. 2009; 37(Web Server issue):W652-60. PMC: 2703878. DOI: 10.1093/nar/gkp356. View

2.
Wurm J, Meyer B, Bahr U, Held M, Frolow O, Kotter P . The ribosome assembly factor Nep1 responsible for Bowen-Conradi syndrome is a pseudouridine-N1-specific methyltransferase. Nucleic Acids Res. 2010; 38(7):2387-98. PMC: 2853112. DOI: 10.1093/nar/gkp1189. View

3.
Blanc V, Davidson N . APOBEC-1-mediated RNA editing. Wiley Interdiscip Rev Syst Biol Med. 2010; 2(5):594-602. PMC: 3086428. DOI: 10.1002/wsbm.82. View

4.
Reuter V, Tickoo S . Differential diagnosis of renal tumours with clear cell histology. Pathology. 2010; 42(4):374-83. DOI: 10.3109/00313021003785746. View

5.
Colaprico A, C Silva T, Olsen C, Garofano L, Cava C, Garolini D . TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data. Nucleic Acids Res. 2015; 44(8):e71. PMC: 4856967. DOI: 10.1093/nar/gkv1507. View