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Updated: Feb 16, 2026

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
Published on: August 1, 2018
Enhancer transcription reveals subtype-specific gene expression programs controlling breast cancer pathogenesis
Hector L Franco1, Anusha Nagari1, Venkat S Malladi1
1Laboratory of Signaling and Gene Regulation, Cecil H. and Ida Green Center for Reproductive Biology Sciences and Division of Basic Reproductive Biology Research, Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA.
Active enhancers drive gene expression in breast cancer. This study identifies key transcription factors (TFs) like FOSL1 that regulate cancer cell growth and patient prognosis, particularly in triple-negative breast cancer (TNBC).
Area of Science:
- Genomics
- Molecular Biology
- Cancer Research
Background:
- Noncoding transcription from enhancers is crucial for gene regulation.
- Understanding enhancer activity in breast cancer subtypes is vital for identifying therapeutic targets.
Purpose of the Study:
- To investigate the link between enhancer activity and biological outcomes in diverse breast cancer subtypes.
- To develop and validate a computational pipeline for identifying subtype-specific enhancers and their associated transcription factors (TFs).
Main Methods:
- Profiling transcriptomes (GRO-seq, RNA-seq) and epigenomes (ChIP-seq) of 13 human breast cell lines.
- Developing a computational pipeline integrating enhancer transcription, TF expression, motif analysis, and epigenetic marks (H3K4me1, H3K27ac).
- Utilizing the Total Functional Score of Enhancer Elements (TFSEE) for TF identification.
Main Results:
- The TFSEE pipeline successfully identified key breast cancer subtype-specific TFs, including Forkhead TFs, FOSL1, and PLAG1.
- FOSL1 was highly enriched at enhancers in triple-negative breast cancer (TNBC) cells, regulating their proliferation and viability.
- FOSL1 expression correlated with poor prognosis in TNBC patients.
Conclusions:
- The developed enhancer identification pipeline is robust and effective.
- Transcribed enhancers play a critical role in directing gene regulatory networks that drive breast cancer pathogenesis.
- Identifying specific TFs like FOSL1 at enhancers offers potential therapeutic strategies for breast cancer subtypes.
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