Evidence map›Paper›PMID 41797047›Full record

ArticleEBioMedicine2026

Integrating breast tumour homologous recombination deficiency status to aid germline BRCA1 and BRCA2 variant classification.

Cristina Fortuno, Jia Zhang, Lambros T Koufariotis, Georgina Hollway, Scott Wood, John V Pearson, Peter T Simpson, Sunil R Lakhani, Amy E McCart Reed, Heather Thorne and 11 more

Abstract read
In one paragraph

Article in EBioMedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Identification and Computational Analysis ofMedical sciences (Basel, Switzerland) · 2026
    Article
  2. 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

21 authors.

Cristina FortunoQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Jia ZhangQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Lambros T KoufariotisQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Georgina HollwayQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Scott WoodQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
John V PearsonQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Peter T SimpsonUQ Centre for Clinical Research, Faculty of Health, Medicine and Behavioural Sciences, University of Queensland, Brisbane, QLD, Australia; School of Biomedical Sciences, Faculty of Health, Medicine and Behavioural Sciences, University of Queensland, Brisbane, QLD, Australia.
Sunil R LakhaniUQ Centre for Clinical Research, Faculty of Health, Medicine and Behavioural Sciences, University of Queensland, Brisbane, QLD, Australia; Pathology Queensland, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia.
Amy E McCart ReedUQ Centre for Clinical Research, Faculty of Health, Medicine and Behavioural Sciences, University of Queensland, Brisbane, QLD, Australia.
Heather ThorneSir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia; Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
G Bruce MannPeter MacCallum Cancer Centre, Melbourne, VIC, Australia; The University of Melbourne, Melbourne, VIC, Australia; The Royal Melbourne Hospital, Melbourne, VIC, Australia.
Anita R SkandarajahPeter MacCallum Cancer Centre, Melbourne, VIC, Australia; The University of Melbourne, Melbourne, VIC, Australia; The Royal Melbourne Hospital, Melbourne, VIC, Australia.
Lisa DevereuxSir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia; Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
Qihong ZhaoPeter MacCallum Cancer Centre, Melbourne, VIC, Australia.
Dilanka L De SilvaThe University of Melbourne, Melbourne, VIC, Australia; Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia.
Geoffrey J LindemanPeter MacCallum Cancer Centre, Melbourne, VIC, Australia; The University of Melbourne, Melbourne, VIC, Australia; Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia; The Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.
Paul WaringLifeStrands Genomics Australia, Melbourne, VIC, Australia.
Paul A JamesSir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia; Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
Ian CampbellSir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia; Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
Amanda B SpurdleQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. Electronic address: amanda.spurdle@qimrb.edu.au.
Nicola WaddellQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. Electronic address: nic.waddell@qimrb.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPathogenic germline variants in certain genes are associated with somatic tumour mutation signatures. The use of somatic tumour mutation data has the potential to improve the identification of true pathogenic variants but remains underexplored. We investigated the integration of tumour homologous recombination (HR) deficiency status as a predictor of pathogenicity for germline BRCA1 and BRCA2 variants, building on the established link between HR deficiency and germline pathogenic variants in these genes.

methodsWe analysed breast tumour whole-genome sequence and matching germline data from 350 patients across four datasets: Familial Breast Cancer (N = 77), The Cancer Genome Atlas (TCGA-BRCA, N = 96), the MAGIC study (N = 136), and Q-IMPROvE (N = 41). A total of 15,156 germline variants (including structural variations) in BRCA1, BRCA2, and other cancer genes (ATM, BARD1, BRIP1, CHEK2, PALB2, PTEN, RAD51C, RAD51D, TP53) underwent variant curation. Patients were categorised based on germline classification as BRCA1 positive (N = 27), BRCA2 positive (N = 21), and BRCA1/2 negative (N = 232), excluding those with BRCA1/2 variants of uncertain significance (N = 8) and pathogenic or only uncertain variants in other cancer genes (N = 62). Somatic HR status (deficient or proficient) was predicted using three algorithms: HRDetect, CHORD, and HRDsum. HR-deficient and HR-proficient status were significant predictors of germline BRCA1/2 pathogenic variant status (positive and negative directions).

findingsThe CHORD algorithm, which estimates BRCA1 and BRCA2 subtype specifically, added precision contributing evidence towards pathogenicity for the corresponding gene, reaching pathogenic moderate strength for the relevant gene-subtype. Finally, we assessed CHORD HR predictions for variants of uncertain significance in BRCA1 and BRCA2, and reported their tumour HR status for potential use as additional evidence in variant curation.

interpretationAnalysis across multiple tumour whole-genome sequencing datasets has shown that HR status prediction algorithms can separate profiles for BRCA1 and BRCA2 pathogenic variants and provide further evidence at increased weight to aid in the classification of germline BRCA1 and BRCA2 variants. Tumour sequencing offers a promising strategy for reducing the uncertainty in germline variant interpretation.

fundingThis work was funded by the National Breast Cancer Foundation.

Indexed as

BRCA1 ProteinBRCA2 ProteinBreast NeoplasmsGerm-Line MutationHomologous RecombinationFemaleGenetic Predisposition to DiseaseHumansBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanBRCA1BRCA2CHORDHomologous recombination deficiency (HRD)Tumour mutation signaturesVariant classification

Identifiers

PMID41797047
PMCPMC12992529

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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.