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Identification of SPOP related metabolic pathways in prostate cancer.


ABSTRACT: 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.

SUBMITTER: Yan M 

PROVIDER: S-EPMC5732708 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Identification of <i>SPOP</i> related metabolic pathways in prostate cancer.

Yan Min M   Qi Huan H   Li Jia J   Ye Guozhu G   Shao Yaping Y   Li Tongming T   Liu Jing J   Piao Hai-Long HL   Xu Guowang G  

Oncotarget 20171003 61


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 <i>SPOP</i> 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 <i>SPOP</i> mutations with altered met  ...[more]

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