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Updated: Oct 23, 2025
Author Spotlight: RNA FISH for Locating lncRNA-SNHG6 in Osteosarcoma Cells
Published on: June 16, 2023
Development of a tRNA-Derived Small RNA Prognostic Panel and Their Potential Functions in Osteosarcoma
Zhenming Tang1, Shuhui Zhang1, Zhougui Ling1
1Department of Pulmonary and Critical Care Medicine, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China.
Background:
Therapeutic outcomes of osteosarcoma treatment have not significantly improved in several decades. Therefore, strong prognostic biomarkers are urgently needed.
Methods:
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.
Results:
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.
Conclusions:
The suggested prognostic panel can be utilized as a reliable biomarker to predict osteosarcoma patient survival rates.
