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Updated: May 14, 2026
10:36
Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer
Published on: March 17, 2016
A comprehensive nuclear receptor network for breast cancer cells
Ralf Kittler1, Jie Zhou, Sujun Hua
1Institute of Genomics and Systems Biology, Argonne National Laboratory, Chicago, IL 60637, USA.
Cell Reports
|February 5, 2013
Summary
This study maps nuclear receptors and transcription factors in breast cancer cells, revealing complex interactions and identifying a specific receptor linked to poor patient outcomes.
Area of Science:
- Genomics and Molecular Biology
- Cancer Research
- Endocrinology
Background:
- Nuclear receptors (NRs) are crucial in breast cancer, influencing gene expression, prognosis, and treatment.
- Understanding the regulatory networks of NRs and transcription factors (TFs) is vital for targeted therapies.
Purpose of the Study:
- To construct a comprehensive regulatory network of 24 NRs, 6 chromatin markers, and 14 breast cancer-associated TFs in the MCF-7 cell line.
- To explore the intricate crosstalk between NRs and TFs in breast cancer.
- To identify potential biomarkers for patient stratification and outcome prediction.
Main Methods:
- Development of a regulatory map integrating data on NRs, chromatin states, and TFs in MCF-7 cells.
- Analysis of genome-wide binding patterns and chromatin states.
- Correlation of gene expression with patient prognosis.
Main Results:
- A highly interconnected regulatory matrix demonstrating extensive crosstalk between NRs and TFs was established.
- Coordinated binding of numerous factors to active chromatin regions regulating hormone-responsive genes was observed.
- Peroxisome proliferator-activated receptor delta (PPARδ) was found to regulate genes also controlled by retinoic acid receptors, associated with poor breast cancer prognosis.
Conclusions:
- The constructed regulatory network provides a valuable framework for understanding breast cancer gene regulation.
- Identification of specific NR-TF interactions, like PPARδ and retinoic acid receptors, offers new avenues for prognostic and therapeutic strategies in breast cancer.
- This network can aid in stratifying patients and predicting treatment outcomes.
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