Downregulation of CENPF Remodels Prostate Cancer Cells and Alters Cellular Metabolism

Abstract

Metabolic alterations in prostate cancer (PC) are associated with progression and aggressiveness. However, the underlying mechanisms behind PC metabolic functions are unknown. The authors’ group recently reported on the important role of centromere protein F (CENPF), a protein associated with the centromere–kinetochore complex and chromosomal segregation during mitosis, in PC MRI visibility. This study focuses on discerning the role of CENPF in metabolic perturbation in human PC3 cells. A series of bioinformatics analyses shows that CENPF is one gene that is strongly associated with aggressive PC and that its expression is positively correlated with metastasis. By identifying and reconstructing the CENPF network, additional associations with lipid regulation are found. Further untargeted metabolomics analysis using gas chromatography‐time‐of‐flight‐mass spectrometry reveals that silencing of CENPF alters the global metabolic profiles of PC cells and inhibits cell proliferation, which suggests that CENPF may be a critical regulator of PC metabolism. These findings provide useful scientific insights that can be applied in future studies investigating potential targets for PC treatment.

Document Details

Document Type
Pub Defense Publication
Publication Date
May 08, 2019
Source ID
10.1002/pmic.201900038

Entities

People

  • Austin Yeon
  • Hyung L. Kim
  • Jayoung Kim
  • Min Young Lee
  • Minhyung Kim
  • Muhammad Shahid
  • Sungyong You

Organizations

  • Cedars-Sinai Medical Center
  • Institute for Systems Biology
  • National Academies of Sciences, Engineering, and Medicine
  • National Institutes of Health
  • US-Egypt Joint Board on Scientific and Technological Cooperation
  • United States Agency for International Development
  • United States Department of Defense
  • University of California, Los Angeles

Tags

Fields of Study

  • Biology

Readers

  • Infectious Disease/Epidemiology
  • Molecular Biology and Genetics
  • Oncology and Biomarker-Based Cancer Detection.