Curr Cancer Drug Targets. 2025 Jun 02.
Breast cancer (BC) remains a leading cause of cancer-related mortality among women worldwide, underscoring the urgent need for sensitive, non-invasive biomarkers to improve diagnosis, prognosis, and treatment monitoring. Traditional biomarkers like ER, PR, and HER2 offer limited efficacy, particularly for heterogeneous subtypes such as triple-nega-tive breast cancer (TNBC). Extracellular vesicles (EVs), including exosomes and microvesi-cles, have emerged as promising biomarker carriers due to their stability and ability to encap-sulate diverse bioactive molecules reflective of the parental cell's state. Among EV cargoes, tRNA-derived fragments (tRFs), which are small non-coding RNAs produced by precise cleavage of tRNAs, have gained increasing attention. Once considered mere degradation prod-ucts, tRFs are now recognized for their roles in gene regulation, translation control, apoptosis modulation, and immune response. Recent studies have revealed the selective enrichment of tRFs within EVs, highlighting their role in intercellular communication in breast cancer. Dif-ferential expression of EV-associated tRFs correlates with BC subtype, stage, and patient prog-nosis, highlighting their potential as minimally invasive biomarkers. Specifically, altered lev-els of certain 5'- and 3'-tRFs in patient sera and tumor tissues have been associated with poor survival, metastasis, and therapeutic resistance. Despite these promising findings, gaps remain regarding the mechanisms of tRF sorting into EVs and their functional impact on the tumor microenvironment. This review systematically examines the current understanding of EV-as-sociated tRFs in breast cancer, emphasizing their clinical relevance, detection strategies, and translational potential. By addressing existing challenges, we aim to provide insights into the utility of EV-tRFs as novel biomarkers and therapeutic targets in BC.
Keywords: Biomarkers; MicroRNAs; breast neoplasms; cancer diagnosis; extracellular vesicles; gene expression; tumor micro-environment.