Multi‐omic profiling reveals an RNA processing rheostat that predisposes to prostate cancer

Abstract: Prostate cancer is the most commonly diagnosed malignancy and the third leading cause of cancer deaths. GWAS have identified variants associated with prostate cancer susceptibility; however, mechanistic and functional validation of these mutations is lacking. We used CRISPR‐Cas9 genome editing to introduce a missense variant identified in the ELAC2 gene, which encodes a dually localised nuclear and mitochondrial RNA processing enzyme, into the mouse Elac2 gene as well as to generate a prostate‐specific knockout of Elac2. These mutations caused enlargement and inflammation of the prostate and nodule formation. The Elac2 variant or knockout mice on the background of the transgenic adenocarcinoma of the mouse prostate (TRAMP) model show that Elac2 mutation with a secondary genetic insult exacerbated the onset and progression of prostate cancer. Multiomic profiling revealed defects in energy metabolism that activated proinflammatory and tumorigenic pathways as a consequence of impaired noncoding RNA processing and reduced protein synthesis. Our physiologically relevant models show that the ELAC2 variant is a predisposing factor for prostate cancer and identify changes that underlie the pathogenesis of this cancer.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Multi‐omic profiling reveals an RNA processing rheostat that predisposes to prostate cancer ; day:24 ; month:04 ; year:2023 ; extent:22 ; EMBO molecular medicine / European Molecular Biology Organization ; (24.04.2023) (gesamt 22)

Contributors, Places and Time

• Creator: Stentenbach, Maike ; Ermer, Judith A. ; Rudler, Danielle L. ; Perks, Kara L. ; Raven, Samuel A. ; Lee, Richard G. ; McCubbin, Tim ; Marcellin, Esteban ; Siira, Stefan J. ; Rackham, Oliver ; Filipovska, Aleksandra

Further information

• DOI: 10.15252/emmm.202317463
• URN: urn:nbn:de:101:1-2023042515483558428639
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 10:49 AM CEST