# High-Throughput Sequencing Decodes tsRNA Landscapes: Insights into Cancer Biomarkers and Therapeutic Targets

## TL;DR

This review explores how high-throughput sequencing helps identify tsRNAs, which are linked to cancer and could improve diagnosis and treatment.

## Contribution

The paper provides a comprehensive overview of tsRNA research using high-throughput sequencing for cancer applications.

## Key findings

- tsRNAs are crucial in cancer progression and have potential as biomarkers.
- High-throughput sequencing enables systematic identification of tsRNAs.
- tsRNAs offer new strategies for cancer diagnosis and therapy.

## Abstract

Transfer RNA-derived small RNAs (tsRNAs) represent an emerging category of small non-coding RNAs generated through specific cleavage of precursor or mature tRNAs. Increasingly recognized as pivotal players in the pathogenesis of complex malignancies, tsRNAs not only regulate cancer progression but also hold promising clinical potential for cancer diagnosis and treatment. This review highlights recent advances in the application of high-throughput sequencing technologies in the systematic identification of tsRNAs, with a focus on their roles in cancer diagnosis, prognostic assessment, and targeted therapy. Delving into the translational medicine dimensions of tsRNAs may provide novel strategies for molecular diagnosis and therapeutic interventions in oncology.