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Updated: Jun 19, 2026
Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells
Published on: February 21, 2014
3-Dimensional microarray analysis of estrogen signal-related genes in breast cancer tissues
Mitsuyo Matsumoto1, Hiroko Sakamoto, Yuri Yamaguchi
1Department of Molecular and Functional Dynamics, Course of Health Science, Tohoku University School of Medicine, 2-1, Seiryo-machi, Aoba-ku, Sendai, 981-0872, Japan. m-matsumoto@mail.tains.tohoku.ac.jp
Background:
Expression analysis of estrogen response genes (ERGs) may help to predict the effectiveness of endocrine therapies in breast cancer patients. We produced a custom-made, 3-dimensional microarray system (3DMS), using previously identified ERGs, and analyzed expression of ERGs on breast cancer tissues.
Materials And Methods:
aRNA was synthesized from 27 breast cancer tumors. The aRNAs were applied to the infrastructure of a 3DMS with spotted cDNA probes to 36 ERGs. Data were analyzed by cluster analysis.
Results:
All 27 specimens were classified clearly into one of two clusters based on whether the ERGs were up or down regulated. These groups correlated with high expression of ER (P<0.05) and Her2 (P<0.05). In some cases, ERG expressions were low even though the tumor was ER positive.
Conclusion:
3DMS may be useful for accurately predicting prognosis and whether endocrine therapies targeting the ER would be effective in an individual breast cancer patient.
