Exploring the association mechanism between metastatic osteosarcoma and non-metastatic osteosarcoma based on...

Area of Science:

• Oncology
• Molecular Biology
• Bioinformatics

Background:

• Osteosarcoma (OS) is a primary bone cancer prevalent in children and adolescents.
• Despite treatment advancements, outcomes for OS, particularly metastatic forms, remain poor.

Purpose of the Study:

• To decipher the co-expression network of common core pathogenic genes in metastatic and non-metastatic osteosarcoma.
• To identify core dysfunction modules and potential regulatory factors (transcription factors and non-coding RNAs) in osteosarcoma.

Main Methods:

• Differential gene expression analysis between metastatic and non-metastatic osteosarcoma.
• Co-expression network construction and module identification.
• Gene Ontology (GO) and KEGG pathway enrichment analysis.
• Identification of regulatory transcription factors (TFs) and non-coding RNAs (ncRNAs).

Main Results:

• Sixteen co-expression modules were identified, with ACAT1 and ATBF1 highlighted as osteosarcoma-driven genes.
• Module genes are significantly enriched in transcription factor activity, DNA binding, and ubiquitin-like protein transferase activity.
• Key pathways regulated include FcγR-mediated phagocytosis, MAPK signaling, and PI3K-Akt signaling.
• Pivot ncRNAs (e.g., CRNDE, miR-106a-5p) and TFs (e.g., NFKB1, STAT6) regulating dysfunction modules were identified.

Conclusions:

• This study elucidates a co-expression network for osteosarcoma, revealing common pathogenic genes.
• Identified core dysfunction modules and regulatory factors provide insights into molecular mechanisms.
• Findings contribute to a better understanding of the molecular associations between different osteosarcoma subtypes.