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Updated: Jul 29, 2025
Generation of Organ-conditioned Media and Applications for Studying Organ-specific Influences on Breast Cancer Metastatic Behavior
Published on: June 13, 2016
Major regulators of the multi-step metastatic process are potential therapeutic targets for breast cancer management
Alexandre Luiz Korte de Azevedo1, Tamyres Mingorance Carvalho1, Cristiane Sato Mara1
1Genetics Department, Federal University of Parana, P.O. Box 19071, CEP, Curitiba, Parana, 81531-990, Brazil.
Abstract:
Metastasis is a multi-step process that leads to the dissemination of tumor cells to new sites and, consequently, to multi-organ neoplasia. Although most lethal breast cancer cases are related to metastasis occurrence, little is known about the dysregulation of each step, and clinicians still lack reliable therapeutic targets for metastasis impairment. To fill these gaps, we constructed and analyzed gene regulatory networks for each metastasis step (cell adhesion loss, epithelial-to-mesenchymal transition, and angiogenesis). Through topological analysis, we identified E2F1, EGR1, EZH2, JUN, TP63, and miR-200c-3p as general hub-regulators, FLI1 for cell-adhesion loss specifically, and TRIM28, TCF3, and miR-429 for angiogenesis. Applying the FANMOD algorithm, we identified 60 coherent feed-forward loops regulating metastasis-related genes associated with distant metastasis-free survival prediction. miR-139-5p, miR-200c-3p, miR-454-3p, and miR-1301-3p, among others, were the FFL's mediators. The expression of the regulators and mediators was observed to impact overall survival and to go along with metastasis occurrence. Lastly, we selected 12 key regulators and observed that they are potential therapeutic targets for canonical and candidate antineoplastics and immunomodulatory drugs, like trastuzumab, goserelin, and calcitriol. Our results highlight the relevance of miRNAs in mediating feed-forward loops and regulating the expression of metastasis-related genes. Altogether, our results contribute to understanding the multi-step metastasis complexity and identifying novel therapeutic targets and drugs for breast cancer management.
Insights
This study identifies key gene regulators and microRNAs involved in breast cancer metastasis. These findings reveal potential new therapeutic targets and drugs to combat cancer spread and improve patient survival.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- Breast cancer metastasis is a complex, multi-step process leading to lethal outcomes.
- Current understanding of metastasis dysregulation is limited, hindering the development of effective therapeutic targets.
Purpose of the Study:
- To construct and analyze gene regulatory networks (GRNs) for each step of breast cancer metastasis.
- To identify key regulators and microRNAs (miRNAs) involved in metastasis.
- To explore potential therapeutic targets and drugs for breast cancer metastasis.
Main Methods:
- Construction and topological analysis of gene regulatory networks for cell adhesion loss, epithelial-to-mesenchymal transition, and angiogenesis.
- Application of the FANMOD algorithm to identify coherent feed-forward loops (FFLs).
- Analysis of regulator and mediator expression impact on overall survival and correlation with metastasis.
Main Results:
- Identified general hub-regulators (E2F1, EGR1, EZH2, JUN, TP63, miR-200c-3p) and step-specific regulators (FLI1, TRIM28, TCF3, miR-429).
- Discovered 60 coherent FFLs regulating metastasis genes, with miRNAs (miR-139-5p, miR-200c-3p, miR-454-3p, miR-1301-3p) acting as key mediators.
- Expression of identified regulators and mediators significantly impacts overall survival and correlates with metastasis occurrence.
Conclusions:
- miRNAs play a crucial role in mediating FFLs and regulating metastasis-related gene expression.
- Identified 12 key regulators as potential therapeutic targets for breast cancer metastasis.
- Findings contribute to understanding metastasis complexity and offer novel therapeutic strategies and drug candidates for breast cancer management.
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