Exploring the key genes and pathways of osteosarcoma with pulmonary metastasis using a gene expression microarray

Area of Science:

• Oncology
• Molecular Biology
• Bioinformatics

Background:

• Osteosarcoma (OS) is a malignant bone tumor in children and adolescents with poor prognosis due to drug resistance and metastasis.
• Pulmonary metastasis is a major cause of mortality in OS patients, but its underlying mechanisms are not fully understood.

Purpose of the Study:

• To identify key genes and molecular pathways associated with pulmonary metastasis in osteosarcoma.
• To provide potential therapeutic targets for treating metastatic OS.

Main Methods:

• Analysis of gene expression dataset (GSE85537) from primary OS tumors and lung metastases.
• Identification of differentially expressed genes (DEGs) using high-throughput gene expression analysis.
• Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses.
• Construction and analysis of a protein-protein interaction (PPI) network using Cytoscape.

Main Results:

• Identified 2,493 DEGs, with 80.55% downregulated and 19.45% upregulated in metastatic samples.
• Top 10 core genes in the PPI network included ALB, EGFR, INS, IL6, CDH1, FYN, ERBB2, IL8, CXCL12, and RAC2.
• Enrichment analysis revealed significant associations with neuroactive ligand-receptor interaction, Rap1 signaling pathway, and protein digestion and absorption.

Conclusions:

• The study elucidated molecular mechanisms underlying pulmonary metastasis in osteosarcoma.
• Identified potential therapeutic targets, including core genes and signaling pathways, for metastatic OS.
• Further experimental validation is required to confirm these findings and their clinical relevance.