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Quantitative global proteome and phosphorylome analyses reveal potential biomarkers in kidney cancer

Currently, high-throughput quantitative proteomic and transcriptomic approaches have been widely used for exploring the molecular mechanisms and acquiring biomarkers for cancers. Our study aimed to illuminate the multi-dimensional molecular mechanisms underlying renal cell carcinoma (RCC) via invest...

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Autores principales: Xu, Liwei, Lu, Zeyi, Yu, Shicheng, Li, Gonghui, Chen, Yuanlei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8453689/
https://www.ncbi.nlm.nih.gov/pubmed/34528699
http://dx.doi.org/10.3892/or.2021.8188
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author Xu, Liwei
Lu, Zeyi
Yu, Shicheng
Li, Gonghui
Chen, Yuanlei
author_facet Xu, Liwei
Lu, Zeyi
Yu, Shicheng
Li, Gonghui
Chen, Yuanlei
author_sort Xu, Liwei
collection PubMed
description Currently, high-throughput quantitative proteomic and transcriptomic approaches have been widely used for exploring the molecular mechanisms and acquiring biomarkers for cancers. Our study aimed to illuminate the multi-dimensional molecular mechanisms underlying renal cell carcinoma (RCC) via investigating the quantitative global proteome and the profile of phosphorylation. A total of 5,428 proteins and 8,632 phosphorylation sites were quantified in RCC tissues, with 709 proteins and 649 phosphorylation sites found to be altered in expression compared with the matched adjacent non-tumor tissues. These differentially expressed proteins were mainly involved in metabolic process terms involving the glycolysis pathway, oxidative phosphorylation and fatty acid metabolism which have been considered to be a potential mechanism of RCC progression. Moreover, phosphorylation analysis indicated that these upregulated phosphorylated proteins are implicated in the glucagon signaling pathway and cholesterol metabolism, while the downregulated phosphorylated proteins were found to be predominantly involved in glycolysis, the pentose phosphate pathway, carbon metabolism and biosynthesis of amino acids. In addition, several new candidate proteins, CD14, MPO, NCF2, SOD2, PARP1, were found to be upregulated and MUT, ACADM, PCK1 were downregulated in RCC. These proteins may be recognized as new biomarkers for RCC. These findings could broaden our insight into the underlying molecular mechanisms of RCC and identify candidate biomarkers for the treatment of RCC.
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spelling pubmed-84536892021-09-30 Quantitative global proteome and phosphorylome analyses reveal potential biomarkers in kidney cancer Xu, Liwei Lu, Zeyi Yu, Shicheng Li, Gonghui Chen, Yuanlei Oncol Rep Articles Currently, high-throughput quantitative proteomic and transcriptomic approaches have been widely used for exploring the molecular mechanisms and acquiring biomarkers for cancers. Our study aimed to illuminate the multi-dimensional molecular mechanisms underlying renal cell carcinoma (RCC) via investigating the quantitative global proteome and the profile of phosphorylation. A total of 5,428 proteins and 8,632 phosphorylation sites were quantified in RCC tissues, with 709 proteins and 649 phosphorylation sites found to be altered in expression compared with the matched adjacent non-tumor tissues. These differentially expressed proteins were mainly involved in metabolic process terms involving the glycolysis pathway, oxidative phosphorylation and fatty acid metabolism which have been considered to be a potential mechanism of RCC progression. Moreover, phosphorylation analysis indicated that these upregulated phosphorylated proteins are implicated in the glucagon signaling pathway and cholesterol metabolism, while the downregulated phosphorylated proteins were found to be predominantly involved in glycolysis, the pentose phosphate pathway, carbon metabolism and biosynthesis of amino acids. In addition, several new candidate proteins, CD14, MPO, NCF2, SOD2, PARP1, were found to be upregulated and MUT, ACADM, PCK1 were downregulated in RCC. These proteins may be recognized as new biomarkers for RCC. These findings could broaden our insight into the underlying molecular mechanisms of RCC and identify candidate biomarkers for the treatment of RCC. D.A. Spandidos 2021-11 2021-09-15 /pmc/articles/PMC8453689/ /pubmed/34528699 http://dx.doi.org/10.3892/or.2021.8188 Text en Copyright: © Xu et al. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Xu, Liwei
Lu, Zeyi
Yu, Shicheng
Li, Gonghui
Chen, Yuanlei
Quantitative global proteome and phosphorylome analyses reveal potential biomarkers in kidney cancer
title Quantitative global proteome and phosphorylome analyses reveal potential biomarkers in kidney cancer
title_full Quantitative global proteome and phosphorylome analyses reveal potential biomarkers in kidney cancer
title_fullStr Quantitative global proteome and phosphorylome analyses reveal potential biomarkers in kidney cancer
title_full_unstemmed Quantitative global proteome and phosphorylome analyses reveal potential biomarkers in kidney cancer
title_short Quantitative global proteome and phosphorylome analyses reveal potential biomarkers in kidney cancer
title_sort quantitative global proteome and phosphorylome analyses reveal potential biomarkers in kidney cancer
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8453689/
https://www.ncbi.nlm.nih.gov/pubmed/34528699
http://dx.doi.org/10.3892/or.2021.8188
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