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Integrated analyses of murine breast cancer models reveal critical parallels with human disease

Author

Listed:
  • Jonathan P. Rennhack

    (Michigan State University)

  • Briana To

    (Michigan State University)

  • Matthew Swiatnicki

    (Michigan State University
    Michigan State University)

  • Caleb Dulak

    (Michigan State University)

  • Martin P. Ogrodzinski

    (Michigan State University
    Michigan State University)

  • Yueqi Zhang

    (Michigan State University)

  • Caralynn Li

    (Michigan State University)

  • Evan Bylett

    (Michigan State University)

  • Christina Ross

    (Michigan State University)

  • Karol Szczepanek

    (Michigan State University)

  • William Hanrahan

    (Michigan State University)

  • Muthu Jayatissa

    (Michigan State University)

  • Sophia Y. Lunt

    (Michigan State University
    Michigan State University)

  • Kent Hunter

    (National Cancer Institute, National Institutes of Health)

  • Eran R. Andrechek

    (Michigan State University)

Abstract

Mouse models have an essential role in cancer research, yet little is known about how various models resemble human cancer at a genomic level. Here, we complete whole genome sequencing and transcriptome profiling of two widely used mouse models of breast cancer, MMTV-Neu and MMTV-PyMT. Through integrative in vitro and in vivo studies, we identify copy number alterations in key extracellular matrix proteins including collagen 1 type 1 alpha 1 (COL1A1) and chondroadherin (CHAD) that drive metastasis in these mouse models. In addition to copy number alterations, we observe a propensity of the tumors to modulate tyrosine kinase-mediated signaling through mutation of phosphatases such as PTPRH in the MMTV-PyMT mouse model. Mutation in PTPRH leads to increased phospho-EGFR levels and decreased latency. These findings underscore the importance of understanding the complete genomic landscape of a mouse model and illustrate the utility this has in understanding human cancers.

Suggested Citation

  • Jonathan P. Rennhack & Briana To & Matthew Swiatnicki & Caleb Dulak & Martin P. Ogrodzinski & Yueqi Zhang & Caralynn Li & Evan Bylett & Christina Ross & Karol Szczepanek & William Hanrahan & Muthu Jay, 2019. "Integrated analyses of murine breast cancer models reveal critical parallels with human disease," Nature Communications, Nature, vol. 10(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11236-3
    DOI: 10.1038/s41467-019-11236-3
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