Hsa-miR-375/RASD1 Signaling May Predict Local Control in Early Breast Cancer
Barbara Zellinger1,2, Ulrich Bodenhofer3,4, Immanuela A Engländer1,5
1radART-Institute for Research and Development on Advanced Radiation Technologies, Paracelsus Medical University, Müllner Hauptstrasse 48, 5020 Salzburg, Austria.
Background:
In order to characterize the various subtypes of breast cancer more precisely and improve patients selection for breast conserving therapy (BCT), molecular profiling has gained importance over the past two decades. MicroRNAs, which are small non-coding RNAs, can potentially regulate numerous downstream target molecules and thereby interfere in carcinogenesis and treatment response via multiple pathways. The aim of the current two-phase study was to investigate whether hsa-miR-375-signaling through RASD1 could predict local control (LC) in early breast cancer.
Results:
The patient and treatment characteristics of 81 individuals were similarly distributed between relapse (n = 27) and control groups (n = 54). In the pilot phase, the primary tumors of 28 patients were analyzed with microarray technology. Of the more than 70,000 genes on the chip, 104 potential hsa-miR-375 target molecules were found to have a lower expression level in relapse patients compared to controls (p-value < 0.2). For RASD1, a hsa-miR-375 binding site was predicted by an in silico search in five mRNA-miRNA databases and mechanistically proven in previous pre-clinical studies. Its expression levels were markedly lower in relapse patients than in controls (p-value of 0.058). In a second phase, this finding could be validated in an independent set of 53 patients using ddPCR. Patients with enhanced levels of hsa-miR-375 compared to RASD1 had a higher probability of local relapse than those with the inverse expression pattern of the two markers (log-rank test, p-value = 0.069).
Conclusion:
This two-phase study demonstrates that hsa-miR-375/RASD1 signaling is able to predict local control in early breast cancer patients, which-to our knowledge-is the first clinical report on a miR combined with one of its downstream target proteins predicting LC in breast cancer.
Insights
MicroRNA-375 and its target RASD1 can predict local control in early breast cancer patients. This finding may improve patient selection for breast conserving therapy.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Molecular profiling is crucial for characterizing breast cancer subtypes and optimizing breast conserving therapy (BCT).
- MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression and can influence cancer development and treatment response.
- Identifying predictive biomarkers is essential for personalized breast cancer treatment.
Purpose of the Study:
- To investigate the potential of hsa-miR-375 signaling through its target RASD1 in predicting local control (LC) in early breast cancer.
- To evaluate the clinical utility of the hsa-miR-375/RASD1 axis as a predictive marker for treatment outcomes.
Main Methods:
- A two-phase study involving 81 early breast cancer patients (27 with relapse, 54 controls).
- Pilot phase: Microarray analysis of 28 primary tumors to identify hsa-miR-375 target molecules.
- Validation phase: Digital droplet PCR (ddPCR) analysis of 53 patients to confirm findings for hsa-miR-375 and RASD1 expression.
Main Results:
- Microarray analysis identified 104 potential hsa-miR-375 targets with lower expression in relapse patients.
- RASD1, a predicted target of hsa-miR-375, showed significantly lower expression in relapse patients (p=0.058).
- Higher hsa-miR-375 to RASD1 expression ratio correlated with increased local relapse probability (p=0.069).
Conclusions:
- The hsa-miR-375/RASD1 signaling pathway can predict local control in early breast cancer.
- This represents the first clinical report of a miRNA-target protein pair predicting local control in breast cancer.
- Findings may aid in selecting patients for breast conserving therapy and improving treatment outcomes.
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