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Updated: Feb 10, 2026

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model
Published on: March 20, 2020
Novel prognostic and predictive microRNA targets for triple-negative breast cancer
Gulisa Turashvili1,2,3, Elizabeth D Lightbody2,4, Kathrin Tyryshkin2
1Kingston Health Sciences Centre, Kingston, Ontario, Canada.
Abstract:
Triple-negative breast cancers (TNBCs) account for ∼25% of all invasive carcinomas and represent a large subset of aggressive, high-grade tumors. Despite current research focused on understanding the genetic landscape of TNBCs, reliable prognostic and predictive biomarkers remain limited. Although dysregulated microRNAs (miRNAs) have emerged as key players in many cancer types, the role of miRNAs in TNBC disease progression is unclear. We performed miRNA profiling of 51 TNBCs by next-generation sequencing to reveal differentially expressed miRNAs. A total of 228 miRNAs were identified. Three miRNAs (miR-224-5p, miR-375, and miR-205-5p) separated the tumors based on basal status. Six miRNAs (high let-7d-3p, miR-203b-5p, and miR-324-5p; low miR-30a-3p, miR-30a-5p, and miR-199a-5p) were significantly associated with decreased overall survival (OS) and 5 miRNAs (high let-7d-3p; low miR-30a-3p, miR-30a-5p, miR-30c-5p, and miR-128-3p) with decreased relapse-free survival (RFS). On multivariate analysis, high expression of let-7d-3p and low expression of miR-30a were independent predictors of decreased OS and RFS. High expression of miR-95-3p was significantly associated with decreased OS and RFS in patients treated with anthracycline-based chemotherapy. Five miRNAs (let-7d-3p, miR-30a-3p, miR-30c-5p, miR-128-3p, and miR-95-3p) were validated by quantitative RT-PCR. Our findings unveil novel prognostic and predictive miRNA targets for TNBC, including a miRNA signature that predicts patient response to anthracycline-based chemotherapy. This may improve clinical management and/or lead to the development of novel therapies.-Turashvili, G., Lightbody, E. D., Tyryshkin, K., SenGupta, S. K., Elliott, B. E., Madarnas, Y., Ghaffari, A., Day, A., Nicol, C. J. B. Novel prognostic and predictive microRNA targets for triple-negative breast cancer.
Insights
Researchers identified key microRNAs (miRNAs) that can predict outcomes for triple-negative breast cancer (TNBC). These novel miRNA biomarkers may improve treatment strategies and patient management for this aggressive cancer subtype.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Triple-negative breast cancer (TNBC) is an aggressive subtype with limited prognostic and predictive biomarkers.
- MicroRNAs (miRNAs) are implicated in various cancers, but their role in TNBC progression is not fully understood.
Purpose of the Study:
- To identify differentially expressed miRNAs in TNBC.
- To discover novel miRNA biomarkers for predicting overall survival (OS) and relapse-free survival (RFS) in TNBC patients.
- To evaluate miRNAs as predictors of response to anthracycline-based chemotherapy.
Main Methods:
- Next-generation sequencing (NGS) for miRNA profiling of 51 TNBC samples.
- Identification of differentially expressed miRNAs.
- Validation of key miRNAs using quantitative RT-PCR (qRT-PCR).
Main Results:
- 228 miRNAs were identified, with specific miRNAs differentiating tumors based on basal status.
- Six miRNAs were associated with decreased OS, and five with decreased RFS.
- let-7d-3p and miR-30a were independent predictors of OS and RFS.
- miR-95-3p predicted outcomes in patients receiving anthracycline-based chemotherapy.
Conclusions:
- Novel prognostic and predictive miRNA targets for TNBC were identified.
- A miRNA signature capable of predicting response to anthracycline-based chemotherapy was discovered.
- These findings may enhance TNBC clinical management and therapeutic development.
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