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ORIGINAL RESEARCH article

Front. Genet.

Sec. Computational Genomics

Volume 16 - 2025 | doi: 10.3389/fgene.2025.1588581

Uncovering Differential Gene Expression Between mtRNA-Positive and -Negative Osteosarcoma Cells: Implications Beyond Mitochondrial Function

Provisionally accepted
Xiaoyuan  MengXiaoyuan MengZhongcheng  HanZhongcheng Han*Yeerke  WuerkanYeerke WuerkanZhigang  WangZhigang WangLe  MaLe MaHongbo  LiuHongbo Liu
  • People's Hospital of Xinjiang Uygur Autonomous Region, Ürümqi, Xinjiang Uyghur Region, China

The final, formatted version of the article will be published soon.

Background: Long-term clinical outcomes for the patients with osteosarcoma have shown little improvement over the past few decades. Identifying novel molecular targets to inhibit osteosarcoma cell growth remains an urgent challenge. Methods: Explore the function of mtRNA in occurrence and development of osteosarcoma utilizing bioinformatics analysis of the Gene Expression Omnibus (GEO) microarray dataset. Network Analyst tool were used to analyze GSE73120. Differentially expressed genes (DEGs) were identified using GEO2R and analyzed using NetworkAnalyst. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed using Metascape and WebGestalt. A protein-protein interaction (PPI) network was constructed through the STRING database and visualized with Cytoscape. The MCODE algorithm was used to identify key modules, and CytoHubba was applied to determine hub genes. Validation of hub genes was conducted using the GEPIA database.Results: A total of 104 DEGs were identified, including 89 upregulated and 15 downregulated genes. GO and KEGG analyses revealed that these DEGs were enriched in pathways related to connective tissue development, collagen trimer and extracellular matrix structural components. The PPI network analysis identified seven hub genes. Among them, COL1A1, PDGFRB and SPARC confirmed as sarcoma-related genes using the GEPIA database. Conclusions: Our findings suggest that COL1A1, PDGFRB and SPARC may be involved in mtRNA-driven tumorigenesis and could serve as promising therapeutic targets for osteosarcoma.

Keywords: Osteosarcoma, mtRNA, Hub genes, Bioinformatics analysis, COL1A1

Received: 20 Mar 2025; Accepted: 11 Aug 2025.

Copyright: © 2025 Meng, Han, Wuerkan, Wang, Ma and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Zhongcheng Han, People's Hospital of Xinjiang Uygur Autonomous Region, Ürümqi, 830001, Xinjiang Uyghur Region, China

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