Evidence map›Paper›PMID 41991965›Full record

ArticleExperimental & molecular medicine2026

Delineation of the heterogeneity underlying genomic instability in hereditary breast cancers reveals four disease subtypes.

Sunmin Kim, Seeyoun Lee, Hyeji Kim, Su Jung Kang, Heejung Chae, Bong-Jo Kim, Jinhwa Kong, Min-Chae Kang, Tae-Min Kim, Sun-Young Kong

Abstract read
In one paragraph

Article in Experimental & molecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Sunmin Kim *Department of Medical Informatics, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0008-3628-1015
Seeyoun Lee *Department of Surgery, Center for Breast Cancer, National Cancer Center, Goyang, Republic of Korea.
Hyeji KimTargeted Therapy Branch, National Cancer Center, Goyang, Republic of Korea.
Su Jung KangDepartment of Medical Informatics, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea.
Heejung ChaeDepartment of Medical Oncology, Center for Breast Cancer, National Cancer Center, Goyang, Republic of Korea.
Bong-Jo KimDivision of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju, Republic of Korea.
Jinhwa KongDivision of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju, Republic of Korea.
Min-Chae KangTargeted Therapy Branch, National Cancer Center, Goyang, Republic of Korea.
Tae-Min KimDepartment of Medical Informatics, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea. tmkim@catholic.ac.kr.ORCID http://orcid.org/0000-0002-7993-9701
Sun-Young KongTargeted Therapy Branch, National Cancer Center, Goyang, Republic of Korea. ksy@ncc.re.kr.ORCID http://orcid.org/0000-0003-0620-4058

Funding

National Cancer Center (NCC) NCC2510692-1National Research Foundation of Korea (NRF) 2019M3E5D3073104National Research Foundation of Korea (NRF) 2019R1A5A2027588
6 · The paper itself

Abstract

Hereditary breast cancers (hBCs) exhibit genomic heterogeneity, but their underlying genomic instability and clinical implications remain unclear. We conducted whole-genome sequencing on 129 BRCA1/2-negative hBCs, with subsets analyzed by methylome and transcriptome sequencing, and integrated COSMIC mutational, copy number (CN), and structural variation signatures. We identified four subtypes: homologous recombination-deficient (HRD), mutation-dominant (MUT), CN-dominant, and genome stable. HRD tumors exhibited genomic instability, including promoter hypermethylation and loss of heterozygosity at BRCA1/2. Some HRD-low hBC genomes showed elevated mutations and CN changes, indicating HRD-independent mechanisms. MUT tumors showed high tumor mutation burdens with APOBEC-associated kataegis and cytolytic/immune-activation programs with M1 macrophage including upregulation of GZMA, GZMB, and large-scale transition. CN tumors were enriched for small-scale loss of heterozygosity maintaining euploidy with recurrent focal losses implicating classic tumor suppressors. Transcriptomics indicated immune and stromal infiltration in MUT and CN subtypes, respectively, suggesting subtype-specific therapeutic vulnerabilities. Functional analysis in cell lines suggests poly (ADP-ribose) polymerase inhibitors and cytotoxic chemotherapy sensitivity in HRD and CN tumors, whereas immune features in MUT tumors support vulnerability to immunotherapy. These findings suggest that distinct hBC subtypes delineated by genomic instability can advance insights into molecular heterogeneity beyond expression-based classifications and support an integrative genomic instability index (HRD score, ploidy, size-stratified CN burden, and signature exposures) for patient stratification and personalized therapeutic strategies.

Indexed as

Breast NeoplasmsGenetic HeterogeneityGenomic InstabilityDNA Copy Number VariationsDNA MethylationFemaleGene Expression Regulation, NeoplasticHumansLoss of HeterozygosityMutation

Identifiers

PMID41991965
PMCPMC13144627

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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.