Evidence map›Paper›PMID 40849357›Full record

ArticleBritish journal of cancer2025

Capturing breast cancers' copy-number landscape in routine pathology: Exploiting low-resolution, genome-wide sequencing to identify HRD and beyond.

C J H Kramer, L M van Wijk, D Ruano, S Gelpke-Vermeulen, K van der Tuin, N van der Stoep, T van Wezel, J Wesseling, J Vallon-Christersson, V T H B M Smit and 6 more

Abstract read
In one paragraph

Article in British journal of cancer, 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

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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

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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. 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

16 authors.

C J H KramerDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.
L M van WijkDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
D RuanoDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.
S Gelpke-VermeulenDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
K van der TuinDepartment of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands.
N van der StoepDepartment of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands.
T van WezelDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0001-5773-7730
J WesselingDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-8940-2676
J Vallon-ChristerssonDivision of Oncology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0002-2195-0385
V T H B M SmitDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.
D CohenDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.
H VrielingDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
J StaafDivision of Translational Cancer Research, Department of Laboratory Medicine, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0001-5254-5115
T BosseDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-6881-8437
C J van AsperenDepartment of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-1436-7650
M P G VreeswijkDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands. m.p.g.vreeswijk@lumc.nl.

Funding

AstraZeneca ESR-21-21497KWF Kankerbestrijding (Dutch Cancer Society) 12995
6 · The paper itself

Abstract

backgroundBecause breast cancer (BC) is molecularly heterogeneous, diagnosis and treatment will likely benefit from comprehensive genetic profiling. However, routine, high-resolution sequencing is not feasible yet, due to implementation challenges associated with whole-genome sequencing of formalin-fixed paraffin embedded (FFPE) BC samples. Therefore, we explored the potential of an alternative low-resolution, genome-wide testing approach that is able to capture the copy number (CN) landscape, including actionable alterations, in FFPE derived DNA.

methodsThe performance of the genome-wide CN testing approach, including CN signatures/focal CN alterations, was evaluated in two phases: (i) exploration and (ii) feasibility phase. First, high-resolution sequencing data of a previously published triple-negative BC cohort (n = 237) was leveraged to benchmark the homologous recombination deficiency (HRD)-related CN signature using a comprehensive, multimodal approach incorporating both genetic and functional HRD tests. Secondly, the low-resolution testing strategy's feasibility was prospectively evaluated in a BC cohort of patients referred to clinical genetic services (n = 147).

resultsApplying the HRD threshold that was established using both genomic and functional HRD data, we identified a 100% sensitivity for BC with BRCA1/BRCA2/PALB2 pathogenic variants in the prospective cohort. Moreover, the success rate of the low-resolution testing approach proved high, regardless of input material. Finally, additional CN alterations were enriched in the HR-proficient BC population, indicating potential actionable CN-alterations beyond HRD.

conclusionsIn conclusion, low-resolution, genome-wide sequencing has shown high potential in capturing the CN landscape, including features associated with HRD, in BC patients. This preselection testing approach is likely to maximize potential for personalized medicine and genetic counseling.

Indexed as

Breast NeoplasmsDNA Copy Number VariationsRecombinational DNA RepairTriple Negative Breast NeoplasmsWhole Genome SequencingAdultFemaleHumansMiddle Aged

Identifiers

PMID40849357
PMCPMC12533164

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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.