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Updated: Oct 21, 2025

Studying TGF-β Signaling and TGF-β-induced Epithelial-to-mesenchymal Transition in Breast Cancer and Normal Cells
Published on: October 27, 2020
A computational approach on studying the regulation of TGF-β1-stimulated Runx2 expression by MicroRNAs in human
S Pranavkrishna1, G Sanjeev1, R L Akshaya1
1Department of Biotechnology, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, 603 103, Tamil Nadu, India.
Background:
Transforming growth factor-beta1 (TGF-β1) acts as a most effective growth inhibitor for normal epithelial cells. Loss of this anti-proliferative factor in breast tissues favors invasion and development of osteolytic metastases, aided by a master transcription factor, runt-related transcription factor 2 (Runx2). Several reports identified Runx2 regulation with the help of non-coding RNAs such as microRNAs (miRNAs) under physiological and pathological conditions.
Methods:
Using bioinformatics tools such as miRDB, STarMir, Venny, TarBase, a unique list of miRNAs that putatively target the 3' UTR Runx2 was identified. Further, the expression patterns of those miRNAs at the precursor and mature levels were studied by RT-qPCR analyses. Following this, computational analyses using software like TransmiR and bc-GenExMiner v4.6 were done to speculate the miRNA's other target genes that indirectly regulate Runx2 activity in breast cancer.
Results:
There were 13 miRNAs that putatively target Runx2 identified using bioinformatics tools. Among these miRNAs, miR-5703 expression was significantly downregulated at both precursor and mature levels upon TGF-β1-treatment in human breast cancer cells. Computational analyses speculated an indirect targeting of Runx2 by miR-5703 by influencing multiple Runx2 regulatory signaling pathways including Jak/Stat, MAPK, Wnt/β-Catenin, Notch, BMP, and PKA pathways. Furthermore, a correlation of the expression profiles of the speculated genes and Runx2 with miR-5703 was depicted in triple-negative breast cancer patients.
Conclusion:
Identification of miR-5703 and its network for Runx2 regulation directly or indirectly in breast cancer cells could significantly advance our understanding of breast cancer-mediated bone metastasis. In addition, it would potentially pave the way for miRNAs to be used as biomarkers and therapeutic agents in cancer research.
Insights
Transforming growth factor-beta1 (TGF-β1) loss in breast cancer promotes metastasis. This study identifies miR-5703 as a key regulator of runt-related transcription factor 2 (Runx2), offering potential therapeutic targets for bone metastasis.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Transforming growth factor-beta1 (TGF-β1) normally inhibits epithelial cell growth.
- Loss of TGF-β1 in breast cancer correlates with increased invasion and osteolytic bone metastasis, partly driven by runt-related transcription factor 2 (Runx2).
- Non-coding RNAs, including microRNAs (miRNAs), are known regulators of Runx2 in various conditions.
Purpose of the Study:
- To identify specific miRNAs targeting Runx2.
- To investigate the role of miR-5703 in regulating Runx2 activity in breast cancer cells.
- To explore the potential of miR-5703 as a biomarker or therapeutic agent for breast cancer bone metastasis.
Main Methods:
- Bioinformatics tools (miRDB, STarMir, Venny, TarBase) were used to predict miRNAs targeting Runx2.
- RT-qPCR was employed to analyze the expression of precursor and mature miRNAs.
- Computational analyses (TransmiR, bc-GenExMiner v4.6) were performed to identify indirect regulatory networks of Runx2.
Main Results:
- Thirteen miRNAs predicted to target Runx2 were identified.
- miR-5703 expression was significantly downregulated in human breast cancer cells treated with TGF-β1.
- miR-5703 was computationally predicted to indirectly regulate Runx2 by affecting signaling pathways like Jak/Stat, MAPK, and Wnt/β-Catenin.
- Expression profiles of Runx2 and related genes correlated with miR-5703 in triple-negative breast cancer patients.
Conclusions:
- The identification of miR-5703 and its regulatory network for Runx2 provides insights into breast cancer bone metastasis.
- This discovery may lead to the development of novel miRNA-based biomarkers and therapeutics for cancer treatment.
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