Evidence map›Paper›PMID 40301634›Full record

ArticleCommunications biology2025

Characterizing somatic mutations in ovarian cancer germline risk regions.

Ping-Hung Lai, Jonathan P Tyrer, Paul Pharoah, Simon A Gayther, Michelle R Jones, Pei-Chen Peng

Abstract read
In one paragraph

Article in Communications 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

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

6 authors.

Ping-Hung LaiDepartment of Computational Biomedicine, Cedars-Sinai Medical Center, West Hollywood, CA, USA.
Jonathan P TyrerCR-UK Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK.ORCID http://orcid.org/0000-0003-3724-4757
Paul PharoahDepartment of Computational Biomedicine, Cedars-Sinai Medical Center, West Hollywood, CA, USA.ORCID http://orcid.org/0000-0001-8494-732X
Simon A GaytherCenter for Inherited Oncogenesis, Department of Medicine, UT Health San Antonio, San Antonio, TX, USA.
Michelle R JonesCenter for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Pei-Chen PengDepartment of Computational Biomedicine, Cedars-Sinai Medical Center, West Hollywood, CA, USA. pei-chen.peng@cshs.org.ORCID http://orcid.org/0000-0002-5004-4322

Funding

Characterizing non-coding somatic and germline variant interactions in ovarian cancerR01CA244569 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI GAYTHER, SIMON ANDREW, GUSEV, ALEXANDER · 2020 to 2024
$3.3M
Identifying new drivers of ovarian cancer from the non-coding genome by converging germline risk variants and somatic mutationsR00CA256519 · NCI · CEDARS-SINAI MEDICAL CENTER · PI PENG, PEI-CHEN · 2023 to 2025
$745k
NCI NIH HHS R00 CA256519NCI NIH HHS R01 CA244569U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R01CA244569
6 · The paper itself

Abstract

Epithelial ovarian cancer (EOC) genetics research has been focused on germline or somatic mutations independently. Emerging evidence suggests that the somatic mutational landscape can be shaped by the germline genetic background. In this study, we aim to unravel the role of somatic alterations within EOC germline susceptibility regions by incorporating functional annotations. We investigate somatic events, including mutational signatures, point mutations, copy number alterations, and transcription factor binding disruptions, within 33 EOC germline susceptibility regions. Our analysis identifies significant associations between candidate germline susceptibility genes and somatic mutational signatures known to be key risk factors for EOC, such as mismatch repair deficiency, age-related mutagenesis, and homologous recombination deficiency. In addition, we find somatic point mutations and copy number alterations are significantly enriched in histotype-specific active enhancers and promoters within EOC risk loci. Furthermore, we examine the impact of germline variants and somatic mutations on transcription factor binding sites, identifying cancer developmental transcription factor motifs frequently affected by both types of mutations. Overall, our study highlights the importance of integrating germline and somatic mutations with regulatory and epigenomic data to gain insights into the genetic basis of EOC.

Indexed as

Carcinoma, Ovarian EpithelialGenetic Predisposition to DiseaseGerm-Line MutationMutationOvarian NeoplasmsDNA Copy Number VariationsFemaleHumansRisk FactorsTranscription FactorsTranscription Factors

Identifiers

PMID40301634
PMCPMC12041368

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Registered trials

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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.