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Updated: May 28, 2026

Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer
Published on: March 17, 2016
The metabolic regulator ERRα, a downstream target of HER2/IGF-1R, as a therapeutic target in breast cancer
Ching-yi Chang1, Dmitri Kazmin, Jeff S Jasper
1Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC 27710, USA.
Abstract:
A genomic signature designed to assess the activity of the estrogen-related receptor alpha (ERRα) was used to profile more than 800 breast tumors, revealing a shorter disease-free survival in patients with tumors exhibiting elevated receptor activity. Importantly, this signature also predicted the ability of an ERRα antagonist, XCT790, to inhibit proliferation in cellular models of breast cancer. Using a chemical genomic approach, it was determined that activation of the Her2/IGF-1R signaling pathways and subsequent C-MYC stabilization upregulate the expression of peroxisome proliferator-activated receptor gamma coactivator-1 beta (PGC-1β), an obligate cofactor for ERRα activity. PGC-1β knockdown in breast cancer cells impaired ERRα signaling and reduced cell proliferation, implicating a functional role for PGC-1β/ERRα in the pathogenesis of breast cancers.
Insights
Elevated estrogen-related receptor alpha (ERRα) activity in breast tumors correlates with shorter disease-free survival. Targeting ERRα with antagonists like XCT790 may inhibit cancer cell proliferation.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Estrogen-related receptor alpha (ERRα) is implicated in various cancers.
- Understanding ERRα activity is crucial for developing targeted breast cancer therapies.
Purpose of the Study:
- To develop and validate a genomic signature for assessing ERRα activity in breast tumors.
- To investigate the role of ERRα and its cofactors in breast cancer pathogenesis and treatment response.
Main Methods:
- Genomic profiling of over 800 breast tumors using an ERRα activity signature.
- Testing the efficacy of an ERRα antagonist (XCT790) in cellular breast cancer models.
- Employing a chemical genomic approach to identify signaling pathways regulating ERRα activity.
Main Results:
- Elevated ERRα activity in tumors was associated with shorter disease-free survival.
- The genomic signature predicted sensitivity to the ERRα antagonist XCT790.
- Her2/IGF-1R signaling and C-MYC stabilization were found to upregulate peroxisome proliferator-activated receptor gamma coactivator-1 beta (PGC-1β), a key cofactor for ERRα.
- PGC-1β knockdown inhibited ERRα signaling and reduced breast cancer cell proliferation.
Conclusions:
- A validated genomic signature can assess ERRα activity and predict patient outcomes in breast cancer.
- The PGC-1β/ERRα pathway is a critical driver of breast cancer proliferation and a potential therapeutic target.
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