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Updated: May 24, 2026

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Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer
Published on: March 17, 2016
Transcriptomic landscape of breast cancers through mRNA sequencing.
Jeyanthy Eswaran1, Dinesh Cyanam, Prakriti Mudvari
1McCormick Genomic and Proteomics Center, The George Washington University, Washington, DC 20037, USA.
Scientific Reports
|February 23, 2012
Summary
Researchers mapped the breast cancer transcriptome, discovering novel transcripts and regulatory elements. This provides new insights into breast cancer adaptations and potential therapeutic targets.
Area of Science:
- Genomics
- Oncology
- Molecular Biology
Background:
- Breast cancer is a complex disease with an unclear genetic basis, complicating diagnosis and treatment.
- Understanding the full spectrum of gene expression is crucial for advancing breast cancer research.
Purpose of the Study:
- To comprehensively define the digital transcriptome of different breast cancer subtypes for the first time.
- To identify novel transcripts and regulatory elements involved in breast cancer.
Main Methods:
- Massively parallel mRNA sequencing of 17 human breast cancer tissues (TNBC, Non-TNBC, HER2-positive).
- Comparative transcriptomic analysis to identify differentially expressed genes and regulatory elements.
Main Results:
- Generated 1.2 billion mRNA sequencing reads, creating a comprehensive digital transcriptome.
- Identified a significant number of novel and unannotated transcripts, revealing global transcriptomic adaptations.
- Discovered differentially expressed transcripts and common regulatory elements (e.g., osteonectin, RACK1) across breast cancer subtypes.
Conclusions:
- The study reveals novel insights into breast cancer transcriptomic landscape and adaptations.
- Identified potential new modulators and common regulatory elements that could be targeted for intervention.
- Opens new avenues for understanding breast cancer and developing therapeutic strategies.
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