bioRxivCancer Biology
HER2-driven mammary tumorigenesis enhances bioenergetics despite reductions in mitochondrial content
Sara M. FrangosiD, Henver S. BrunettaiD, Dongdong WangiD, Maria Joy Therese Jabile, Leslie M Jeffries, Grace Mencfeld, David W.L.iD, William J. MulleriD, Cezar M. KhursigaraiD, Kelsey H. Fisher‐WellmaniD, Jim PetrikiD, Gregory R. SteinbergiD, Graham P. HollowayiD
Abstract
It is now recognized that mitochondria play a crucial role in tumorigenesis, however, it has become clear that tumor metabolism varies significantly between cancer types. The failure of recent clinical trials aimed at directly targeting tumor respiration through oxidative phosphorylation inhibitors underscores the critical need for further studies providing an in-depth evaluation of mitochondrial bioenergetics. Accordingly, we comprehensively assessed the bulk tumor and mitochondrial metabolic phenotype in murine HER2-driven mammary cancer tumors and benign mammary tissue. Transcriptomic and proteomic profiling revealed a broad downregulation of mitochondrial genes/proteins in tumors, including OXPHOS subunits comprising Complexes I-IV. Despite reductions in tumor mitochondrial proteins, mitochondrial respiration was several-fold higher compared to benign mammary tissue, which persisted regardless of normalization method (wet weight, total protein content and when corrected for mitochondrial content). This upregulated respiratory capacity could not be explained by OXPHOS uncoupling, suggesting HER2 signaling regulates intrinsic mitochondrial bioenergetics. In further support, lapatinib, an EGFR/HER2 tyrosine kinase inhibitor, attenuated mitochondrial respiration in NF639 murine mammary tumor epithelial cells. Together, this data highlights that the typical correlation between mitochondrial content and respiratory capacity may not apply to all tumor types and implicates HER2-linked activation of mitochondrial respiration supporting tumorigenesis in this model.
- organism: mouse
- assay: bulk RNA-seq
- assay: proteomics
- research focus: metabolism & bioenergetics
- approach: statistical model
- Citations
- 2
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