DataSheet_2_Development of a tRNA-Derived Small RNA Prognostic Panel and Their Potential Functions in Osteosarcoma.pdf (1.5 MB)
Download file

DataSheet_2_Development of a tRNA-Derived Small RNA Prognostic Panel and Their Potential Functions in Osteosarcoma.pdf

Download (1.5 MB)
dataset
posted on 02.08.2021, 05:32 by Zhenming Tang, Shuhui Zhang, Zhougui Ling
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.

History