Evidence map›Paper›PMID 37093546›Full record

ArticleEMBO molecular medicine2023

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

Maike Stentenbach, Judith A Ermer, Danielle L Rudler, Kara L Perks, Samuel A Raven, Richard G Lee, Tim McCubbin, Esteban Marcellin, Stefan J Siira, Oliver Rackham and 1 more

Open access · goldAbstract read
In one paragraph

Article in EMBO molecular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Pan-cancer and multiomics: advanced strategies for diagnosis, prognosis, and therapy in the complex genetic and molecular universe of cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. AbioRxiv : the preprint server for biology · 2024
    Article
  9. ELAC2 is a functional prostate cancer risk allele.Trends in molecular medicine · 2023
    Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Maike StentenbachHarry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia.ORCID 0000-0002-1933-9149
Judith A ErmerHarry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia.ORCID 0000-0003-0234-9620
Danielle L RudlerHarry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia.
Kara L PerksHarry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia.ORCID 0000-0001-5511-3844
Samuel A RavenHarry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia.
Richard G LeeHarry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia.
Tim McCubbinAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD, Australia.
Esteban MarcellinAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD, Australia.
Stefan J SiiraHarry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia.
Oliver RackhamHarry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia.ORCID 0000-0002-5301-9624
Aleksandra FilipovskaHarry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia.ORCID 0000-0002-6998-8403
The University of Western Australia · AUThe Kids Research Institute Australia · AUThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

MultiomicsProstatic NeoplasmsAnimalsHumansMaleMiceMutationMutation, MissenseRNA Processing, Post-Transcriptionalgene expressionmitochondriaprostate cancer susceptibilityRNA processing

Identifiers

PMID37093546
PMCPMC10245041
OpenAlexW4366822447

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.