Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1784570321827790848 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8453689 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT xuliwei quantitativeglobalproteomeandphosphorylomeanalysesrevealpotentialbiomarkersinkidneycancer AT luzeyi quantitativeglobalproteomeandphosphorylomeanalysesrevealpotentialbiomarkersinkidneycancer AT yushicheng quantitativeglobalproteomeandphosphorylomeanalysesrevealpotentialbiomarkersinkidneycancer AT ligonghui quantitativeglobalproteomeandphosphorylomeanalysesrevealpotentialbiomarkersinkidneycancer AT chenyuanlei quantitativeglobalproteomeandphosphorylomeanalysesrevealpotentialbiomarkersinkidneycancer |