The MiR-200c/FOXP3 Network: A Promising Biomarker for Predicting Trastuzumab Response in HER2-Positive Breast Cancer
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Sage: Technology in Cancer Research & Treatment
Series Info
2 Technology in Cancer Research & Treatment; Volume 23: 1-10
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Abstract
Purpose:
Resistance to Trastuzumab is a significant challenge in the management of HER2-positive Metastatic Breast cancer (HER2-MBC), and a better understanding of the molecular causes of resistance is required to develop more effective treatment plans. While elevated plasma levels of miR-200 and FOXP3 have been linked to breast cancer progression and treatment response, no clinical studies have confirmed these results.
Methods:
The study involved 40 patients with HER2-positive metastatic breast cancer (HER2-MBC). The expression levels of miR-200c-3p and the FOXP3 gene were assessed in plasma samples at two time points: baseline (BL) and after the consent completion of one cycle of Trastuzumab, utilizing quantitative polymerase chain reaction (qPCR). Clinical response to Trastuzumab was evaluated 12 months post-therapy and correlated with the time to progression (TTP) through Kaplan-Meier analysis.
Results:
Low plasma expression level of miR-200c-3p was detected before therapy in HER2-MBC, compared to healthy controls, and decreased dramatically in the follow-up sample at disease progression, while increased after one cycle of Trastuzumab therapy in patients who were sensitive to Trastuzumab. At baseline, a low expression level of miR-200c was significantly associated with overexpression of FOXP3, poor prognosis, and shorter time to progression.
Conclusions:
The findings suggest that miR-200c-3p may be a promising biomarker for predicting the response to Trastuzumab in HER2-MBC patients.
Description
SJR 2024
0.755
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H-Index
76
Citation
Othman, M. S., Elabbasy, M. T., Aref, A. M., Altaleb, A. A., Mohammed, M. H., Soliman, D. a. M., & El-Khazragy, N. (2024). The MIR-200C/FOXP3 network: a promising biomarker for predicting trastuzumab response in HER2-Positive breast cancer. Technology in Cancer Research & Treatment, 23. https://doi.org/10.1177/15330338241292226
