Evidence map›Paper›PMID 34716314›Full record

ArticleNature communications2021

Somatic driver mutation prevalence in 1844 prostate cancers identifies ZNRF3 loss as a predictor of metastatic relapse.

Michael Fraser, Julie Livingstone, Jeffrey L Wrana, Antonio Finelli, Housheng Hansen He, Theodorus van der Kwast, Alexandre R Zlotta, Robert G Bristow, Paul C Boutros

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 23 citations in OpenAlex.

  1. Evolution of AR and Non-AR Alterations in ctDNA of Patients with Metastatic Prostate Cancer Treated in the Phase III Alliance A031201 Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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  15. Convergent TP53 loss and evolvability in cancer.BMC ecology and evolution · 2023
    Review
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  18. Complexities of Prostate Cancer.International journal of molecular sciences · 2022
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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

9 authors at 5 institutions in 3 countries.

Michael FraserDepartment of Surgery, Division of Urology, University of Toronto, Toronto, ON, Canada. michael.fraser@cpcgene.com.
Julie LivingstoneDepartment of Human Genetics, University of California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-8424-3768
Jeffrey L WranaLunenfeld Research Institute, Mount Sinai Hospital, Toronto, ON, Canada.ORCID http://orcid.org/0000-0003-0932-0644
Antonio FinelliDepartment of Surgery, Division of Urology, University of Toronto, Toronto, ON, Canada.
Housheng Hansen HePrincess Margaret Cancer Centre, Toronto, ON, Canada.
Theodorus van der KwastDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0001-8640-5786
Alexandre R ZlottaDepartment of Surgery, Division of Urology, University of Toronto, Toronto, ON, Canada.
Robert G BristowDepartment of Medical Biophysics, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-8553-9544
Paul C BoutrosDepartment of Human Genetics, University of California, Los Angeles, CA, USA. PBoutros@mednet.ucla.edu.ORCID http://orcid.org/0000-0003-0553-7520
University of Toronto · CAMount Sinai Hospital · CAUniversity of California, Los Angeles · USOntario Institute for Cancer Research · CAUniversity Health Network · CA

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
UCLA SPORE IN PROSTATE CANCERP50CA092131 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FREEMAN, MICHAEL R · 2002 to 2023
$42.6M
Advancing method benchmarking and data sharing through crowd-sourced competitions in cancer researchU24CA248265 · NCI · SAGE BIONETWORKS · PI BOUTROS, PAUL CHRISTOPHER, VARMA, SUSHEEL · 2020 to 2024
$4.1M
Development of Protein Biomarkers in Post-DRE Urine for use in Liquid Biopsy of Prostate CancerU01CA214194 · NCI · EASTERN VIRGINIA MEDICAL SCHOOL · PI BOUTROS, PAUL CHRISTOPHER, KISLINGER, THOMAS · 2016 to 2021
$2.5M
Cancer Research UKNCI NIH HHS P30 CA016042NCI NIH HHS P50 CA092131NCI NIH HHS U01 CA214194NCI NIH HHS U24 CA248265
6 · The paper itself

Abstract

Driver gene mutations that are more prevalent in metastatic, castration-resistant prostate cancer (mCRPC) than localized disease represent candidate prognostic biomarkers. We analyze 1,844 localized (1,289) or mCRPC (555) tumors and quantify the prevalence of 113 somatic driver single nucleotide variants (SNVs), copy number aberrations (CNAs), and structural variants (SVs) in each state. One-third are significantly more prevalent in mCRPC than expected while a quarter are less prevalent. Mutations in AR and its enhancer are more prevalent in mCRPC, as are those in TP53, MYC, ZNRF3 and PRKDC. ZNRF3 loss is associated with decreased ZNRF3 mRNA abundance, WNT, cell cycle & PRC1/2 activity, and genomic instability. ZNRF3 loss, RNA downregulation and hypermethylation are prognostic of metastasis and overall survival, independent of clinical and pathologic indices. These data demonstrate a strategy for identifying biomarkers of localized cancer aggression, with ZNRF3 loss as a predictor of metastasis in prostate cancer.

Indexed as

MutationBiomarkers, TumorCell CycleCell Cycle ProteinsGene Expression Regulation, NeoplasticHumansMaleNeoplasm Recurrence, LocalPrevalencePrognosisProstatic NeoplasmsUbiquitin-Protein LigasesBiomarkers, TumorCell Cycle ProteinsPRC1 protein, humanUbiquitin-Protein LigasesZNRF3 protein, human

Identifiers

PMID34716314
PMCPMC8556363
OpenAlexW3211235931

What OpenQuestion holds

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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.