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Updated: Feb 12, 2026

Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer
Published on: March 17, 2016
Metabolomics of oncogene-specific metabolic reprogramming during breast cancer
Chen Dai1,2, Jennifer Arceo1,2, James Arnold3
11Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN 46556 USA.
Background:
The complex yet interrelated connections between cancer metabolism and oncogenic driver genes are relatively unexplored but have the potential to identify novel biomarkers and drug targets with prognostic and therapeutic value. The goal of this study was to identify global metabolic profiles of breast tumors isolated from multiple transgenic mouse models and to identify unique metabolic signatures driven by these oncogenes.
Methods:
Using mass spectrometry (GC-MS, LC-MS/MS, and capillary zone electrophoresis (CZE)-MS platforms), we quantified and compared the levels of 374 metabolites in breast tissue from normal and transgenic mouse breast cancer models overexpressing a panel of oncogenes (PyMT, PyMT-DB, Wnt1, Neu, and C3-TAg). We also compared the mouse metabolomics data to published human metabolomics data already linked to clinical data.
Results:
Through analysis of our metabolomics data, we identified metabolic differences between normal and tumor breast tissues as well as metabolic differences unique to each initiating oncogene. We also quantified the metabolic profiles of the mammary fat pad versus mammary epithelium by CZE-MS/MS. However, the differences between the tissues did not account for the majority of the metabolic differences between the normal mammary gland and breast tumor tissues. Therefore, the differences between the cohorts were unlikely due to cellular heterogeneity. Of the mouse models used in this study, C3-TAg was the only cohort with a tumor metabolic signature composed of ten metabolites that had significant prognostic value in breast cancer patients. Gene expression analysis identified candidate genes that may contribute to the metabolic reprogramming.
Conclusions:
This study identifies oncogene-induced metabolic reprogramming within mouse breast tumors and compares the results to that of human breast tumors, providing a unique look at the relationship between and clinical value of oncogene initiation and metabolism during breast cancer.
Insights
This study reveals how specific oncogenes reprogram breast tumor metabolism in mice, identifying a metabolic signature linked to patient prognosis. These findings highlight potential new biomarkers and therapeutic targets in breast cancer.
Area of Science:
- Oncology
- Metabolomics
- Genomics
Background:
- The interplay between cancer metabolism and oncogenic driver genes is crucial but underexplored.
- Understanding these connections can yield novel biomarkers and therapeutic targets for breast cancer.
Purpose of the Study:
- To investigate global metabolic profiles in breast tumors from transgenic mouse models.
- To identify unique metabolic signatures driven by specific oncogenes.
Main Methods:
- Utilized mass spectrometry (GC-MS, LC-MS/MS) and capillary zone electrophoresis-MS (CZE-MS) to quantify 374 metabolites.
- Compared metabolic profiles from normal and transgenic mouse breast cancer models overexpressing various oncogenes.
- Integrated mouse metabolomics data with published human metabolomics data.
Main Results:
- Identified distinct metabolic differences between normal and tumor breast tissues, as well as oncogene-specific metabolic signatures.
- The C3-TAg oncogene model exhibited a metabolic signature of ten metabolites with significant prognostic value in human breast cancer patients.
- Gene expression analysis suggested candidate genes involved in metabolic reprogramming.
Conclusions:
- Demonstrated oncogene-induced metabolic reprogramming in mouse breast tumors.
- Provided a comparative analysis with human breast tumors, linking oncogene-driven metabolism to clinical value in breast cancer.
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