Identification of SPOP related metabolic pathways in prostate cancer

Min Yan1,2,3, Huan Qi1, Jia Li2,3

  • 1Scientific Research Center for Translational Medicine, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.

Oncotarget
|December 22, 2017
PubMed

Insights

SPOP mutations in prostate cancer are linked to significant metabolic changes. This study reveals altered pathways in fatty acid and TCA cycles, offering new insights into prostate cancer progression.

Area of Science:

  • Oncology
  • Molecular Biology
  • Metabolomics

Background:

  • Speckle-type POZ protein (SPOP) is frequently mutated in prostate cancer (PCa).
  • The role of SPOP mutations in PCa metabolic reprogramming is largely unknown.
  • SPOP functions as a cullin-based E3 ubiquitin ligase.

Purpose of the Study:

  • To investigate the impact of SPOP mutations on metabolic reprogramming in prostate cancer.
  • To identify specific metabolic pathways altered in SPOP-mutated PCa.
  • To correlate SPOP mutations with changes in gene expression and metabolic profiles.

Main Methods:

  • Integrated analysis of transcriptomics, metabolomics, and lipidomics in matched PCa tumor (PCT) and adjacent non-tumor (ANT) tissues.
  • Correlation analysis of SPOP mutations with altered metabolic pathways.
  • Utilized cBioportal for data validation.

Main Results:

  • SPOP mutations, found in 16.7% of cases (11/66), occurred at conserved MATH domain residues.
  • Upregulation of the tricarboxylic acid (TCA) cycle, fatty acid metabolism, and glycerophospholipid metabolism was observed in SPOP-mutated PCT tissues.
  • FH, ELOVL2, and ACADL genes were identified as potentially involved in SPOP-mutation-related metabolic alterations.

Conclusions:

  • SPOP mutations are associated with significant metabolic reprogramming in prostate cancer.
  • Altered TCA cycle, fatty acid, and glycerophospholipid metabolism are key features of SPOP-mutated PCa.
  • This study provides novel insights into the interplay between SPOP mutations and metabolic pathways in PCa pathogenesis.

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