Related Experiment Video
Updated: Aug 8, 2026
12:31
An Ex vivo Model to Study Hormone Action in the Human Breast
Published on: January 8, 2015
Basic research for hormone-sensitivity of breast cancer
Shin-ichi Hayashi1, Yuri Yamaguchi
1Department of Medical Technology, Course of Health Sciences, School of Medicine, Tohoku University, Sendai, Japan. shayashi@mail.tains.tohoku.ac.jp
Breast Cancer (Tokyo, Japan)
|June 7, 2006
Summary
Developing novel tools to predict individual response to hormone therapy for breast cancer. Researchers identified gene expression markers like HDAC6 and created reporter systems for better treatment prediction and patient outcomes.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Hormonal therapy is a key treatment for breast cancer, targeting estrogen signaling.
- Accurate prediction of individual patient response to hormone therapy remains a challenge.
- Novel combinations and predictive markers are needed to advance breast cancer treatment.
Purpose of the Study:
- To develop novel tools for predicting individual response to hormonal therapy in breast cancer.
- To identify new predictive factors for hormone therapy responsiveness.
- To elucidate estrogen-dependent mechanisms in breast cancer.
Main Methods:
- Comprehensive gene expression profiling of estrogen receptor (ER)-positive breast cancer cells.
- Development of a custom estrogen-responsive gene microarray.
- Analysis of candidate gene expression using real-time RT-PCR and immunohistochemistry.
- Development of an ERE-GFP-reporter cell system for analyzing the estrogen-related microenvironment.
Main Results:
- Identified estrogen-responsive genes and developed a focused microarray.
- Found that expression of genes like HDAC6 correlates with disease-free and overall survival in ER-positive patients.
- Developed a GFP-reporter system to visualize tumor-stroma interactions and treatment effects.
Conclusions:
- New tools, including focused microarrays and reporter systems, can aid in predicting individual response to breast cancer hormonal therapy.
- Gene expression analysis, particularly of HDAC6, shows promise as a predictive factor for patient survival.
- These approaches offer potential clinical benefits by enabling personalized treatment strategies for breast cancer.
