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

Jonathan Rennhack(Michigan State University), Briana To(Michigan State University), Matthew Swiatnicki(Michigan State University), Caleb Dulak(Michigan State University), Martin P. Ogrodzinski(Michigan State University), Yueqi Zhang(Michigan State University), Caralynn Li(Michigan State University), Evan Bylett(Michigan State University), Christina R. 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), Kent W. Hunter(National Institutes of Health), Eran R. Andrechek(Michigan State University)
Nature Communications
July 22, 2019
Cited by 67Open Access
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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.


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