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Updated: May 9, 2026

Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells
Published on: February 21, 2014
Estrogen receptor α regulates ATM Expression through miRNAs in breast cancer
Xiaojing Guo1, Chunying Yang, Xiaolong Qian
1Authors' Affiliations: Department of Breast Pathology and Lab, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China; Departments of Radiation Oncology, and Nanomedicine, The Methodist Hospital Research Institute, Houston, Texas; and Department of Biochemistry and Molecular Biology, Southern Research Institute, Birmingham, Alabama.
Purpose:
Estrogen receptor α (ERα) is an essential element regulating mammary gland development and it contributes to breast cancer development and progression. Most of the ER-negative breast cancers display more aggressive clinical behaviors and are resistant to antiestrogen therapies. In addition, many ER-negative tumors show insensitivity to many chemotherapeutic drugs and radiotherapy, although mechanisms underlying this phenotype are less clear.
Experimental Design:
We conducted immunohistochemistry on 296 cases of breast cancer tissues using a variety of antibodies. On the basis of the clinical data, we conducted siRNA knockdown to study the role of ERα on ATM expression in breast cancer cell lines. Furthermore, we used antisense oligonucleotides against micro RNAs (miRNA) or miRNA overexpression plasmids to study the role of miR-18a and -106a on ATM expression. Finally we used in situ hybridization to assess miR-18a and -106a expression in breast cancer tissues.
Results:
We found that in ER-negative breast cancer tissues, expression of the ATM kinase, a critical DNA damage-response protein, is aberrantly upregulated. We also found that the locoregional recurrence rate after radiotherapy positively correlates with ATM expression. On the cellular level, we showed that ERα, but not ERβ, negatively regulates ATM expression. Furthermore, we identified that ERα activates miR-18a and -106a to downregulate ATM expression. We also showed that miR-18a and -106a were significantly underexpressed in ER-negative breast cancer tissues.
Conclusions:
We reveal a novel mechanism involving ERα and miR-18a and -106a regulation of ATM in breast cancer.
Insights
Estrogen receptor α (ERα) normally suppresses ATM kinase in breast cancer. Its absence in ER-negative tumors leads to higher ATM, increasing recurrence risk after radiotherapy.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Estrogen receptor α (ERα) plays a key role in mammary gland development and breast cancer.
- ER-negative breast cancers often exhibit aggressive behavior and resistance to therapies.
- Mechanisms underlying the aggressive phenotype of ER-negative tumors are not fully understood.
Purpose of the Study:
- To investigate the role of ERα in regulating ATM expression in breast cancer.
- To explore the involvement of microRNAs (miRNAs) in the ERα-ATM regulatory pathway.
- To determine the correlation between ATM expression and radiotherapy outcomes in breast cancer patients.
Main Methods:
- Immunohistochemistry on 296 breast cancer tissues.
- siRNA knockdown to assess ERα's effect on ATM expression in cell lines.
- miRNA manipulation (antisense oligonucleotides and overexpression plasmids) to study miR-18a and -106a.
- In situ hybridization to evaluate miR-18a and -106a expression in tissues.
Main Results:
- ATM kinase, a DNA damage-response protein, is upregulated in ER-negative breast cancer tissues.
- Higher ATM expression correlates with increased locoregional recurrence rates after radiotherapy.
- ERα negatively regulates ATM expression, partly through activating miR-18a and -106a.
- miR-18a and -106a are significantly underexpressed in ER-negative breast cancer tissues.
Conclusions:
- A novel regulatory mechanism involving ERα, miR-18a, miR-106a, and ATM in breast cancer is identified.
- This pathway offers potential therapeutic targets for ER-negative breast cancers.
- Understanding this mechanism may improve radiotherapy efficacy and predict patient outcomes.
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