Evidence map›Paper›PMID 39990314›Full record

ArticlebioRxiv : the preprint server for biology2025

The Landscape of Prostate Tumour Methylation.

Jaron Arbet, Takafumi N Yamaguchi, Yu-Jia Shiah, Rupert Hugh-White, Adriana Wiggins, Jieun Oh, Tsumugi Gebo, Adrien Foucal, Robert Lesurf, Chol-Hee Jung and 20 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors.

Jaron ArbetJonsson Comprehensive Cancer Center, University of California, Los Angeles, California.ORCID 0000-0003-4218-2458
Takafumi N YamaguchiJonsson Comprehensive Cancer Center, University of California, Los Angeles, California.
Yu-Jia ShiahOntario Institute for Cancer Research, Toronto, Canada.
Rupert Hugh-WhiteJonsson Comprehensive Cancer Center, University of California, Los Angeles, California.
Adriana WigginsDepartment of Mathematics and Statistics, Carleton College, Northfield, MN.
Jieun OhJonsson Comprehensive Cancer Center, University of California, Los Angeles, California.
Tsumugi GeboJonsson Comprehensive Cancer Center, University of California, Los Angeles, California.
Adrien FoucalOntario Institute for Cancer Research, Toronto, Canada.
Robert LesurfOntario Institute for Cancer Research, Toronto, Canada.
Chol-Hee JungMelbourne Bioinformatics, University of Melbourne, Parkville, Australia.
Rachel M A DangJonsson Comprehensive Cancer Center, University of California, Los Angeles, California.
Raag AgrawalJonsson Comprehensive Cancer Center, University of California, Los Angeles, California.
Julie LivingstoneJonsson Comprehensive Cancer Center, University of California, Los Angeles, California.
Adriana SalcedoDepartment of Human Genetics, University of California, Los Angeles, California.
Cindy Q YaoOntario Institute for Cancer Research, Toronto, Canada.
Shadrielle Melijah G EspirituOntario Institute for Cancer Research, Toronto, Canada.
Kathleen E HoulahanJonsson Comprehensive Cancer Center, University of California, Los Angeles, California.
Fouad YousifOntario Institute for Cancer Research, Toronto, Canada.
Lawrence E HeislerOntario Institute for Cancer Research, Toronto, Canada.
Anthony T PapenfussWalter and Eliza Hall Institute of Medical Research, Parkville, Australia.
Michael FraserOntario Institute for Cancer Research, Toronto, Canada.
Bernard PopeMelbourne Bioinformatics, University of Melbourne, Parkville, Australia.
Amar KishanJonsson Comprehensive Cancer Center, University of California, Los Angeles, California.
Alejandro BerlinPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Melvin L K ChuaDepartment of Radiation Oncology, University of Toronto, Toronto, Canada.
Niall M CorcoranDepartment of Surgery, University of Melbourne, Parkville, Australia.
Theodorus van der KwastPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Christopher M HovensDepartment of Surgery, University of Melbourne, Parkville, Australia.
Robert G BristowDepartment of Medical Biophysics, University of Toronto, Toronto, Canada.
Paul C BoutrosJonsson Comprehensive Cancer Center, University of California, Los Angeles, California.ORCID 0000-0003-0553-7520

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI William E Lowry · 1985 to 2026
$134.5M
UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
UCLA-Caltech Medical Scientist Training ProgramT32GM152342 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Olujimi A Ajijola, David Wayne Dawson · 2024 to 2026
$5.3M
Germline Determinants of Prostate Cancer EvolutionR01CA270108 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PAUL T. SPELLMAN · 2023 to 2026
$2.9M
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
NCI NIH HHS P30 CA016042NCI NIH HHS R01 CA270108NCI NIH HHS U01 CA214194NIGMS NIH HHS T32 GM008042NIGMS NIH HHS T32 GM152342
6 · The paper itself

Abstract

Prostate cancer is characterized by profound clinical and molecular heterogeneity. While its genomic heterogeneity is well-characterized, its epigenomic heterogeneity remains less understood. We therefore created a compendium of 3,001 multi-ancestry prostate methylomes spanning normal tissue through localized disease of all grades to poly-metastatic disease. A subset of 884 samples had multi-omic DNA and/or RNA characterization. We identify four epigenomic subtypes that risk-stratify patients and reflect distinct evolutionary trajectories. We demonstrate extensive regulatory interplay between DNA ploidy and DNA methylation, with transcriptional consequences that vary across genes and disease stages. We define the epigenetic dysregulation signatures of the 15 most important clinico-molecular features, creating predictive models for each. For example, we identify specific epigenetic features that predict patient outcome and that are synergistic with clinico-genomic prognostic features. These results define a complex interplay between tumour genetics and epigenetics that converges to modify gene-expression programs and clinical presentation.

Identifiers

PMID39990314
PMCPMC11844408

What OpenQuestion holds

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LicenceCC BY-NC
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.