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A Preclinical Mouse Model of Osteosarcoma to Define the Extracellular Vesicle-mediated Communication Between Tumor and Mesenchymal Stem Cells
Published on: May 6, 2018
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Prognostic model for osteosarcoma: RNA diagnostics, tumor microenvironment and immunotherapy response
Ding-Chao Rong1, Xu Rong2, Yuan-Shen Chen3
1Department of Orthopedics, The First Affiliated Hospital of Shaoyang University, Shaoyang, Hunan, 422000, People's Republic of China.
Journal of Orthopaedics
|December 4, 2025
Summary
We developed two prognostic models for osteosarcoma, one using 5 small nucleolar RNAs (snoRNAs) and another integrating snoRNAs, lncRNAs, and mRNAs. These models predict patient outcomes and response to therapies like simvastatin.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- Osteosarcoma is an aggressive cancer with poor prognosis, necessitating accurate prognostic models.
- Small nucleolar RNAs (snoRNAs) are stable molecules with potential as cancer biomarkers.
Purpose of the Study:
- To establish reliable prognostic models for osteosarcoma.
- To identify biomarkers correlating with the tumor immune microenvironment.
- To predict drug sensitivity in osteosarcoma patients.
Main Methods:
- Downloaded and analyzed gene expression and clinical data from TCGA, GTEx, and GEO databases.
- Performed survival analysis, differential gene expression, functional enrichment, and immune cell infiltration analysis.
- Constructed snoRNA-based and integrated RNA network-based prognostic models, validated drug sensitivity and gene expression in vitro.
Main Results:
- A 5-snoRNA prognostic model (SNORA2B, SNORA12, SNORD99, SNORD123, SNORD11B) demonstrated prognostic accuracy.
- An integrated RNA model (PARD6G-AS1, DLX2, TPD52, GRAMD1B) correlated with the immune microenvironment.
- Both models showed consistent drug sensitivity predictions; osteosarcoma cells were sensitive to simvastatin in vitro.
Conclusions:
- Independent snoRNAs serve as prognostic biomarkers for osteosarcoma.
- Integrated RNA models provide insights into the immune microenvironment and immune function.
- The study offers valuable prognostic and immune-related biomarkers for osteosarcoma, aiding therapeutic strategies.
