Micro-RNAs as Potential Predictors of Response to Breast Cancer Systemic Therapy: Future Clinical Implications

Alma D Campos-Parra1, Gerardo Cuamani Mitznahuatl2, Abraham Pedroza-Torres3,4

  • 1Laboratorio de Genomica, Instituto Nacional de Cancerología (INCan), Av. San Fernando 22, Col. Sección XVI, C.P. 14080 Tlalpan, Ciudad de México, Mexico. adcamposparra@gmail.com.

Insights

Certain microRNAs (miRNAs) like miR-155, miR-222, miR-125b, and miR-21 may predict breast cancer treatment resistance. Further research is needed to understand their role and clinical applications.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Breast cancer (BC) remains a leading cause of cancer death in women globally, despite diagnostic and therapeutic advancements.
  • Tumor resistance to systemic therapies (chemotherapy, endocrine, targeted) is a major challenge in effective breast cancer treatment.
  • MicroRNAs (miRNAs) are emerging as crucial regulators of gene expression and potential biomarkers for predicting treatment response.

Purpose of the Study:

  • To review and synthesize current data on the role of miRNAs as predictors of response to systemic treatments in breast cancer.
  • To identify specific miRNAs associated with resistance to common breast cancer therapies.

Main Methods:

  • A comprehensive literature review of recent studies on miRNAs and their role in breast cancer treatment resistance.
  • Analysis of published data to identify miRNAs consistently linked to therapy resistance.

Main Results:

  • Overexpression of specific miRNAs, including miR-155, miR-222, miR-125b, and miR-21, has been associated with resistance to common systemic treatments for breast cancer.
  • These miRNAs play significant roles in cellular processes like proliferation, apoptosis, and autophagy, influencing treatment outcomes.

Conclusions:

  • Certain miRNAs show potential as predictive biomarkers for breast cancer treatment resistance.
  • Further in-depth study of these miRNAs is essential to elucidate their precise functions and explore their clinical utility in personalized breast cancer therapy.

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