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Non-Destructive Evaluation of Regional Cell Density Within Tumor Aggregates Following Drug Treatment
Published on: June 21, 2022
Structural variant and nucleosome occupancy dynamics postchemotherapy in a HER2+ breast cancer organoid model
Maja Starostecka1,2, Hyobin Jeong1,3, Patrick Hasenfeld1
1European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg 69117, Germany.
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.
Insights
Doxorubicin chemotherapy increases structural variants (SVs) and genomic instability in HER2+ breast cancer cells. This study reveals uniform susceptibility across cell types and highlights persistent genomic stress post-treatment.
Area of Science:
- Genomics
- Cancer Biology
- Molecular Oncology
Background:
- Chemotherapeutics like doxorubicin induce DNA damage to eliminate cancer cells.
- Defective DNA repair can lead to mutations, therapy resistance, and secondary cancers.
- Structural variants (SVs) drive tumor evolution but are understudied post-chemotherapy.
Purpose of the Study:
- To investigate doxorubicin-induced de novo structural variants (SVs) in a HER2+ breast cancer model.
- To simultaneously detect SVs and classify cell types using single-cell multiomics.
Main Methods:
- Adaptation of single-cell template-strand sequencing (Strand-seq) for SV detection.
- Coupling Strand-seq with nucleosome occupancy (NO) measurements in the same single cell.
- Utilizing a HER2+ breast cancer organoid model (TetO-CMYC/TetO-Neu/MMTV-rtTA mice) and generating 459 Strand-seq libraries.
Main Results:
- A 7.4-fold increase in large chromosomal alterations was observed post-doxorubicin treatment.
- Complex DNA rearrangements, deletions, and duplications were prevalent across basal, luminal progenitor (LP), and mature luminal (ML) cells.
- Doxorubicin elevated sister chromatid exchanges (SCEs) and altered nucleosome occupancy on cancer-related genes, indicating persistent genomic stress.
Conclusions:
- HER2+ breast cancer cell types exhibit uniform susceptibility to doxorubicin-induced SV formation.
- The developed single-cell multiomics system enables comprehensive analysis of therapy-associated SV mutational signatures.
- This approach facilitates systematic studies on the impact of therapy on cancer evolution.

