Evidence map›Paper›PMID 39993200›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Structural variant and nucleosome occupancy dynamics postchemotherapy in a HER2+ breast cancer organoid model.

Maja Starostecka, Hyobin Jeong, Patrick Hasenfeld, Eva Benito-Garagorri, Tania Christiansen, Catherine Stober Brasseur, Maise Gomes Queiroz, Marta Garcia Montero, Martin Jechlinger, Jan O Korbel

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Structural variant and nucleosome occupancy dynamics postchemotherapy in a HER2+ breast cancer organoid model.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

10 authors.

Maja Starostecka *European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg 69117, Germany.ORCID 0000-0001-9867-0421
Hyobin Jeong *European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg 69117, Germany.ORCID 0000-0002-1526-3343
Patrick HasenfeldEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg 69117, Germany.
Eva Benito-GaragorriEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg 69117, Germany.
Tania ChristiansenEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg 69117, Germany.
Catherine Stober BrasseurEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg 69117, Germany.
Maise Gomes QueirozEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg 69117, Germany.ORCID 0000-0002-7189-0608
Marta Garcia MonteroEuropean Molecular Biology Laboratory, Cell Biology and Biophysics Unit, Heidelberg 69117, Germany.ORCID 0000-0002-1258-6518
Martin JechlingerEuropean Molecular Biology Laboratory, Cell Biology and Biophysics Unit, Heidelberg 69117, Germany.
Jan O KorbelEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg 69117, Germany.

Funding

EC | ERC | HORIZON EUROPE European Research Council (ERC) 773026
6 · The paper itself

Abstract

The most common chemotherapeutics induce DNA damage to eradicate cancer cells, yet defective DNA repair can propagate mutations, instigating therapy resistance and secondary malignancies. Structural variants (SVs), arising from copy-number-imbalanced and -balanced DNA rearrangements, are a major driver of tumor evolution, yet understudied posttherapy. Here, we adapted single-cell template-strand sequencing (Strand-seq) to a HER2+ breast cancer model to investigate the formation of doxorubicin-induced de novo SVs. We coupled this approach with nucleosome occupancy (NO) measurements obtained from the same single cell to enable simultaneous SV detection and cell-type classification. Using organoids from TetO-CMYC/TetO-Neu/MMTV-rtTA mice modeling HER2+ breast cancer, we generated 459 Strand-seq libraries spanning various tumorigenesis stages, identifying a 7.4-fold increase in large chromosomal alterations post-doxorubicin. Complex DNA rearrangements, deletions, and duplications were prevalent across basal, luminal progenitor (LP), and mature luminal (ML) cells, indicating uniform susceptibility of these cell types to SV formation. Doxorubicin further elevated sister chromatid exchanges (SCEs), indicative of genomic stress persisting posttreatment. Altered nucleosome occupancy levels on distinct cancer-related genes further underscore the broad genomic impact of doxorubicin. The organoid-based system for single-cell multiomics established in this study paves the way for unraveling the most important therapy-associated SV mutational signatures, enabling systematic studies of the effect of therapy on cancer evolution.

Indexed as

Breast NeoplasmsErb-b2 Receptor Tyrosine KinasesNucleosomesOrganoidsAnimalsDNA Copy Number VariationsDoxorubicinFemaleHumansMiceDoxorubicinERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesNucleosomesbreast cancerorganoidssingle-cell multi-omicsstructural variation

Identifiers

PMID39993200
PMCPMC11892646

What OpenQuestion holds

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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.