Genetic background and oncogenic driver determines the genomic evolution and transcriptomics of mammary tumor metastasis

Metastasis remains a major cause of cancer mortality. This study, expanding upon previous findings in the MMTV-PyMT model, investigated four independent mouse models, representing luminal (MMTV-PyMT, MMTV-Myc), HER2-amplified (MMTV-Her2), and triple-negative (C3(1)TAg) breast cancer subtypes. Consistent with previous results, limited evidence for metastasis-associated somatic point mutations was found for all models. We also found that oncogenic drivers significantly influenced the number and size of metastasis-specific copy number variations (MSCNVs), but common driver-independent MSCNVs were rare. Furthermore, analyzing a cohort with varying genetic backgrounds while maintaining a constant oncogenic driver (PyMT) revealed that genetic background profoundly impacts MSCNVs. Transcriptome analysis demonstrated that oncogenic drivers strongly shaped metastasis-specific gene expression (MSGE), with each driver exhibiting distinct expression profiles. In contrast, MSGE in the PyMT-F1 cohort was more variable across strains. Despite the diversity of MSCNV and MSGE, functional analysis revealed that both mechanisms converge on the modulation of key cellular processes, including immune responses, metabolism, and extracellular matrix interactions. These findings emphasize the complex interplay between oncogenic drivers and genetic background in shaping the genomic and transcriptional landscapes of metastatic lesions.

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Publication Details

Journal
Communications Biology
Published
2025-08-14
DOI
https://doi.org/10.1038/s42003-025-08624-5
Citations
1
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
1.05
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article

Genetic background and oncogenic driver determines the genomic evolution and transcriptomics of mammary tumor metastasis

Larry V. Pearce, Tinghu Qiu, Christina R. Ross, Jack D. Sanford et al.
1 citations
Communications Biology
Cancer Cells and Metastasis
1.05
article

Genetic background and oncogenic driver determines the genomic evolution and transcriptomics of mammary tumor metastasis

Larry V. Pearce, Tinghu Qiu, Christina R. Ross, Jack D. Sanford, Kent W. Hunter, Maxwell P. Lee, Karol Szczepanek, Gabriel A. Needle
article en
1 citations

Abstract

Metastasis remains a major cause of cancer mortality. This study, expanding upon previous findings in the MMTV-PyMT model, investigated four independent mouse models, representing luminal (MMTV-PyMT, MMTV-Myc), HER2-amplified (MMTV-Her2), and triple-negative (C3(1)TAg) breast cancer subtypes. Consistent with previous results, limited evidence for metastasis-associated somatic point mutations was found for all models. We also found that oncogenic drivers significantly influenced the number and size of metastasis-specific copy number variations (MSCNVs), but common driver-independent MSCNVs were rare. Furthermore, analyzing a cohort with varying genetic backgrounds while maintaining a constant oncogenic driver (PyMT) revealed that genetic background profoundly impacts MSCNVs. Transcriptome analysis demonstrated that oncogenic drivers strongly shaped metastasis-specific gene expression (MSGE), with each driver exhibiting distinct expression profiles. In contrast, MSGE in the PyMT-F1 cohort was more variable across strains. Despite the diversity of MSCNV and MSGE, functional analysis revealed that both mechanisms converge on the modulation of key cellular processes, including immune responses, metabolism, and extracellular matrix interactions. These findings emphasize the complex interplay between oncogenic drivers and genetic background in shaping the genomic and transcriptional landscapes of metastatic lesions.

Communications BiologyVol. 8(1)
Johnson & Johnson (United States) (US), NYU Langone Health (US), National Cancer Institute (US), Center for Cancer Research (US), AstraZeneca (United States) (US)
Openalex Percentile: Top 19%
Cancer Cells and Metastasis
1.05
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