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Updated: Apr 4, 2026

Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells
Published on: February 21, 2014
Identification of circRNA/lncRNA-miRNA-Transcription Factor-mRNA Networks to Identify Potential Biomarkers in
Donghai Li1, Zhiying Zhang1, Yibo Chen1
1Department of Thyroid and Breast Surgery, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia Autonomous Region, People's Republic of China.
Background:
Neoadjuvant therapy (NAT) is the standard treatment option for locally advanced breast cancer (BC). Noncoding RNAs are known to play a significant role in cancer development. However, the involvement of the circular RNA (circRNA)/long non-coding RNA (lncRNA)-(miRNA)-mRNA competitive endogenous RNA (ceRNA) network in the antitumor effects of NAT in BC remains unclear.
Methods:
Ribosomal RNA (rRNA)-depleted RNA sequencing (RNA-seq) was performed to identify differentially expressed lncRNAs (DElncRNAs), circRNAs (DEcircRNAs), mRNAs (DEmRNAs) and transcription factors (DE-TFs) between pre-therapy tumor tissues and adjacent normal tissues, as well as between post-NAT tumor tissues and pre-therapy tumor tissues. The changes in gene expression in the ceRNA network were confirmed by RT-qPCR.
Results:
We identified dysregulated RNAs associated with NAT, including 2693 DEcircRNAs, 25 DElncRNAs, 58 DE-TFs, and 878 DEmRNAs. Three core ceRNA networks were constructed bioinformatically, centered on the key DE-TFs, including HOXC11, NKX2-2, and PRAME. RT-qPCR results confirmed a significant increase in the levels of circRNA_31003, circRNA_42276, MIAT, HOXC11, NKX2-2, PRAME, CCL5, NEK2, and RAD54L in tumor tissues before therapy when compared to normal tissues, but these levels decreased in post-NAT tumor group compared to pre-therapy tumor group. In contrast, the expression of miR-1225-3p, miR-661, and miR-143-5p showed a notable decline in pre-therapy tumors in comparison to normal tissues; however, these expressions elevated significantly in post-NAT tumor group compared to pre-therapy tumor group.
Conclusion:
Associated regulatory networks were constructed to explore candidate biomarkers that may respond to NAT treatment in BC.
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