AUTHOR=Tang Zhenming , Zhang Shuhui , Ling Zhougui 

TITLE=Development of a tRNA-Derived Small RNA Prognostic Panel and Their Potential Functions in Osteosarcoma

JOURNAL=Frontiers in Oncology

VOLUME=11

YEAR=2021

URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2021.652040

DOI=10.3389/fonc.2021.652040

ISSN=2234-943X

ABSTRACT=<sec><title>Background</title><p>Therapeutic outcomes of osteosarcoma treatment have not significantly improved in several decades. Therefore, strong prognostic biomarkers are urgently needed.</p></sec><sec><title>Methods</title><p>We first extracted the tRNA-derived small RNA (tsRNA) expression profiles of osteosarcoma from the GEO database. Then, we performed a unique module analysis and use the LASSO-Cox model to select survival-associated tsRNAs. Model effectiveness was further verified using an independent validation dataset. Target genes with selected tsRNAs were predicted using RNAhybrid.</p></sec><sec><title>Results</title><p>A LASSO-Cox model was established to select six prognostic tsRNA biomarkers: tRF-33-6SXMSL73VL4YDN, tRF-32-6SXMSL73VL4YK, tRF-32-M1M3WD8S746D2, tRF-35-RPM830MMUKLY5Z, tRF-33-K768WP9N1EWJDW, and tRF-32-MIF91SS2P46I3. We developed a prognostic panel for osteosarcoma patients concerning their overall survival by high-low risk. Patients with a low-risk profile had improved survival rates in training and validation dataset.</p></sec><sec><title>Conclusions</title><p>The suggested prognostic panel can be utilized as a reliable biomarker to predict osteosarcoma patient survival rates.</p></sec>