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Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer
10:36

Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer

Published on: March 17, 2016

Antiestrogen Resistance and the Application of Systems Biology

Kerrie B Bouker1, Yue Wang, Jianhua Xuan

  • 1Department of Oncology and Lombardi Comprehensive Cancer Center, Georgetown University School of Medicine, Washington, DC 20057, U.S.A.

Drug Discovery Today. Disease Mechanisms
|March 30, 2013
PubMed

Insights

Acquired antiestrogen resistance involves complex molecular changes. Systems biology approaches integrating transcriptomics, proteomics, and methylomics offer new insights into this clinical challenge.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genomics

Background:

  • Acquired antiestrogen resistance is a significant clinical problem in cancer treatment.
  • Previous research using single gene/pathway approaches yielded limited clinical impact.
  • Systems biology offers a novel approach to understand complex biological systems.

Purpose of the Study:

  • To review recent advances in understanding antiestrogen resistance.
  • To highlight the utility of systems biology approaches in this field.
  • To focus on transcriptomics, proteomics, and methylomics.

Main Methods:

  • Review of recent scientific literature.
  • Focus on high-throughput '-omics' data integration.
  • Analysis of transcriptomic, proteomic, and methylomic data.

Main Results:

  • Systems biology approaches provide a comprehensive view of molecular changes.
  • Transcriptomics, proteomics, and methylomics reveal complex resistance mechanisms.
  • Integration of multi-omics data is crucial for understanding acquired resistance.

Conclusions:

  • Understanding acquired antiestrogen resistance requires integrated multi-omics data.
  • Systems biology is a powerful tool for dissecting complex resistance phenotypes.
  • Future research should leverage these approaches for clinical advancements.
Keywords:
Systems biologyantiestrogensbreast cancerestrogens

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