Evaluation of 5'-tRF-His-GTG As a Molecular Biomarker in Breast Cancer Diagnoses and Prognosis.

Breast cancer (BC) is the most prevalent cancer among women worldwide. Although advances have been made in the identification of predictive biomarkers, current options for early diagnosis and prognostic analysis are still suboptimal. Recently, transfer-RNA-derived RNA fragments (tRFs) have emerged as a class of small noncoding RNAs that play a role in the cancer progression. The authors aimed to identify a specific class of tRFs as a molecular marker for BC diagnosis and prognosis in clinical management. The levels of were quantified in BC tissue ( = 101) and inflammatory normal breast tissue ( = 22) using hybridization. Clinicopathological parameters were obtained, including age, tumor node metastasis stage, hormone receptor status, histopathological grade, lymphovascular invasion, and recurrence. The correlation between the expression of and these parameters in different BC subtypes was analyzed. Patient death and cancer progression were regarded as clinical endpoints in the survival analysis. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were also performed to predict the involvement in pivotal biological process. The expression of was significantly downregulated in BC tissues and was in connection with T stage in human epidermal growth factor 2-positive and basal-like BC, as well as N stage and histopathological grade in luminal BC. Patients with low expression of had a poor overall survival rate. Statistics of GO and KEGG pathway revealed that cation channel activity, protein catabolic process, response to temperature stimulus, cell cycle, focal adhesion, and glycerophospholipid metabolism were significantly enriched. This study suggests that the assessment of expression could serve as a novel biomarker for individual diagnosis and prognosis in BC.