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Identification of SPOP related metabolic pathways in prostate cancer
Speckle-type POZ protein (SPOP), as a cullin-based E3 ubiquitin ligase, has been identified as one of the most frequently mutated genes in prostate cancer (PCa). However, whether SPOP mutations contribute to metabolic reprogramming in PCa remains unknown. Here, integrated studies of transcriptomics...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732708/ https://www.ncbi.nlm.nih.gov/pubmed/29262542 http://dx.doi.org/10.18632/oncotarget.21460 |
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author | Yan, Min Qi, Huan Li, Jia Ye, Guozhu Shao, Yaping Li, Tongming Liu, Jing Piao, Hai-Long Xu, Guowang |
author_facet | Yan, Min Qi, Huan Li, Jia Ye, Guozhu Shao, Yaping Li, Tongming Liu, Jing Piao, Hai-Long Xu, Guowang |
author_sort | Yan, Min |
collection | PubMed |
description | Speckle-type POZ protein (SPOP), as a cullin-based E3 ubiquitin ligase, has been identified as one of the most frequently mutated genes in prostate cancer (PCa). However, whether SPOP mutations contribute to metabolic reprogramming in PCa remains unknown. Here, integrated studies of transcriptomics and metabolomics as well as lipidomics were performed in matched PCa tumor (PCT) and adjacent non-tumor (ANT) tissues, followed by correlation analysis of SPOP mutations with altered metabolic pathways in SPOP-mutated PCa patients. Interestingly, transcriptomics profiling showed that all SPOP mutations (with 16.7% frequency, 11/66) occurred at the conserved residues in the substrate binding domain of meprin and TRAF homology (MATH). The results of integrated analysis indicated that three metabolic pathways, including tricarboxylic acid (TCA) cycle, fatty acid metabolism and glycerophospholipid metabolism, exhibited obvious upregulation in SPOP-mutated PCT tissues. Furthermore, both correlation analyses based on integrated data and cBioportal revealed that FH, ELOVL2 and ACADL genes might be involved in SPOP-mutation-related upregulation of these metabolic pathways. Taken together, our study provided new insights in understanding the relationship between metabolic pathways and SPOP mutations in PCa. |
format | Online Article Text |
id | pubmed-5732708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-57327082017-12-19 Identification of SPOP related metabolic pathways in prostate cancer Yan, Min Qi, Huan Li, Jia Ye, Guozhu Shao, Yaping Li, Tongming Liu, Jing Piao, Hai-Long Xu, Guowang Oncotarget Research Paper Speckle-type POZ protein (SPOP), as a cullin-based E3 ubiquitin ligase, has been identified as one of the most frequently mutated genes in prostate cancer (PCa). However, whether SPOP mutations contribute to metabolic reprogramming in PCa remains unknown. Here, integrated studies of transcriptomics and metabolomics as well as lipidomics were performed in matched PCa tumor (PCT) and adjacent non-tumor (ANT) tissues, followed by correlation analysis of SPOP mutations with altered metabolic pathways in SPOP-mutated PCa patients. Interestingly, transcriptomics profiling showed that all SPOP mutations (with 16.7% frequency, 11/66) occurred at the conserved residues in the substrate binding domain of meprin and TRAF homology (MATH). The results of integrated analysis indicated that three metabolic pathways, including tricarboxylic acid (TCA) cycle, fatty acid metabolism and glycerophospholipid metabolism, exhibited obvious upregulation in SPOP-mutated PCT tissues. Furthermore, both correlation analyses based on integrated data and cBioportal revealed that FH, ELOVL2 and ACADL genes might be involved in SPOP-mutation-related upregulation of these metabolic pathways. Taken together, our study provided new insights in understanding the relationship between metabolic pathways and SPOP mutations in PCa. Impact Journals LLC 2017-10-03 /pmc/articles/PMC5732708/ /pubmed/29262542 http://dx.doi.org/10.18632/oncotarget.21460 Text en Copyright: © 2017 Yan et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Yan, Min Qi, Huan Li, Jia Ye, Guozhu Shao, Yaping Li, Tongming Liu, Jing Piao, Hai-Long Xu, Guowang Identification of SPOP related metabolic pathways in prostate cancer |
title | Identification of SPOP related metabolic pathways in prostate cancer |
title_full | Identification of SPOP related metabolic pathways in prostate cancer |
title_fullStr | Identification of SPOP related metabolic pathways in prostate cancer |
title_full_unstemmed | Identification of SPOP related metabolic pathways in prostate cancer |
title_short | Identification of SPOP related metabolic pathways in prostate cancer |
title_sort | identification of spop related metabolic pathways in prostate cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732708/ https://www.ncbi.nlm.nih.gov/pubmed/29262542 http://dx.doi.org/10.18632/oncotarget.21460 |
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