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Uncovering differential gene expression between mtRNA-positive and -negative osteosarcoma cells: implications beyond

Xiaoyuan Meng1, Zhongcheng Han2, Wuerkan Yeerken1

  • 1Department of Orthopedics, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.

Frontiers in Genetics
|October 3, 2025
PubMed
Abstract

Insights

This study identifies key genes (COL1A1, PDGFRB, SPARC) involved in osteosarcoma development, offering potential new therapeutic targets. These findings highlight the role of mitochondrial RNA (mtRNA) in driving sarcoma growth.

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Osteosarcoma patient outcomes have seen minimal improvement.
  • Novel molecular targets are crucial for inhibiting osteosarcoma cell growth.

Purpose of the Study:

  • To explore the role of mitochondrial RNA (mtRNA) in osteosarcoma development using bioinformatics.
  • To identify potential therapeutic targets for osteosarcoma.

Main Methods:

  • Analysis of Gene Expression Omnibus (GEO) microarray dataset (GSE73120) using GEO2R and NetworkAnalyst.
  • Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis.
  • Protein-protein interaction (PPI) network construction and hub gene identification using STRING, Cytoscape, MCODE, and CytoHubba.
  • Validation of hub genes using the GEPIA database.

Main Results:

  • Identified 104 differentially expressed genes (DEGs) (89 upregulated, 15 downregulated).
  • Enrichment analysis revealed DEGs involved in connective tissue development, collagen trimer, and extracellular matrix.
  • Seven hub genes were identified, with COL1A1, PDGFRB, and SPARC confirmed as sarcoma-related.

Conclusions:

  • COL1A1, PDGFRB, and SPARC are implicated in mtRNA-driven osteosarcoma tumorigenesis.
  • These genes represent promising therapeutic targets for osteosarcoma treatment.
Keywords:
COL1A1bioinformatics analysishub genesmtRNAosteosarcoma

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