Evidence map›Paper›PMID 40790321›Full record

ArticleScientific reports2025

Preliminary evaluation of ShallowHRD performance compared to HRDetect in familial breast cancer tumors.

Louise Adel Jensen, Caroline Hey Baekgaard, Mie Bohnensack Larsen, Susanne Eriksen Boonen, Anne Marie Bak Jylling, Zainab Hikmat, Qin Hao, Thomas van Overeem Hansen, Inge Søkilde Pedersen, Martin Jakob Larsen and 1 more

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Louise Adel JensenDepartment of Clinical Genetics, Odense University Hospital, Odense, Denmark. Louise.Adel.Jensen@rsyd.dk.
Caroline Hey BaekgaardDepartment of Clinical Genetics, Odense University Hospital, Odense, Denmark.
Mie Bohnensack LarsenDepartment of Clinical Genetics, Odense University Hospital, Odense, Denmark.
Susanne Eriksen BoonenDepartment of Clinical Genetics, Odense University Hospital, Odense, Denmark.
Anne Marie Bak JyllingDepartment of Pathology, Odense University Hospital, Odense, Denmark.
Zainab HikmatDepartment of Clinical Genetics, Odense University Hospital, Odense, Denmark.
Qin HaoDepartment of Clinical Genetics, Odense University Hospital, Odense, Denmark.
Thomas van Overeem HansenDepartment of Clinical Genetics, Copenhagen University Hospital, Copenhagen, Denmark.
Inge Søkilde PedersenDepartment of Molecular Diagnostics and Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark.
Martin Jakob LarsenDepartment of Clinical Genetics, Odense University Hospital, Odense, Denmark.
Mads ThomassenDepartment of Clinical Genetics, Odense University Hospital, Odense, Denmark. Mads.Thomassen@rsyd.dk.

Funding

Kræftens Bekæmpelse R231-A13765
6 · The paper itself

Abstract

Determining the Homologous Recombination Deficiency (HRD)-status of a malignant tumor is central in predicting patient response to specific treatments. Therefore, precise and cost-effective tools are needed for clinical implementation. HRDetect is widely regarded as a golden standard for determining HRD-status. In contrast, ShallowHRD is a simpler algorithm. However, it offers a more economical alternative optimized for Formalin-Fixed, Paraffin-Embedded tissue (FFPE) and potentially useful for most breast cancer patients. Data from shallow whole-genome sequencing (1-5X) on FFPE tissue and whole-genome sequencing (50X, and additionally downscaled to 5X) on fresh frozen tissue from 19 patients were analyzed using ShallowHRD and compared to the HRD-status attained by HRDetect using Receiver Operating Characteristic (ROC) curve analysis. Further, Spearman rank correlation was calculated to estimate the correlation between ShallowHRD and HRDetect scores, as well as between the three ShallowHRD datasets. The comparison of ShallowHRD to HRDetect displayed a significant specificity (85.7-100%) and sensitivity (80%) in all data groups. The ROC curve analyses illustrated that ShallowHRD displayed an area under the curve statistically similar to what was previously reported for HRDetect in all three data sets. The Spearman correlation also indicated significant correlation between ShallowHRD and HRDetect scores for the three datasets (HRDetect vs. FFPE (1-5X) (ρ = 0.68, p = 0.0013), Fresh Frozen (5X) (ρ = 0.58, p = 0.0086), and Fresh Frozen (50X) (ρ = 0.50, p = 0.029)). The ShallowHRD analysis was of good quality in all data groups, and the ShallowHRD scores were similar across data groups. One sample was incorrectly labeled as HRD-negative by ShallowHRD, but it contained one variant of unknown significance (VUS) in RAD51D, requiring further investigation. HRD-status from ShallowHRD correlated well with HRDetect output in this preliminary study, potentially making ShallowHRD an accurate, efficient, and more economical alternative for clinical use. However, further examination and validation in larger cohorts are required.

Indexed as

Breast NeoplasmsHomologous RecombinationAdultAlgorithmsFemaleHumansMiddle AgedROC CurveWhole Genome SequencingBreast cancerCancer genomicsHomologous recombination deficiency (HRD)HRDetectShallowHRDWhole genome sequencing (WGS)

Identifiers

PMID40790321
PMCPMC12340017

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Registered trials

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