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Current Bioinformatics

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ISSN (Print): 1574-8936
ISSN (Online): 2212-392X

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Research Article

Bio-analytical Identification of Key Genes that Could Contribute to the Progression and Metastasis of Osteosarcoma

Author(s): Fei Wang, Guoqing Qin, Junzhi Liu, Xiunan Wang and Baoguo Ye*

Volume 16, Issue 2, 2021

Published on: 31 July, 2020

Page: [216 - 224] Pages: 9

DOI: 10.2174/1574893615999200801014939

Price: $65

Abstract

Background: Osteosarcoma (OS) is one of the most common primary malignant bone tumors in children and adolescents. OS metastasis has been a challenge in the treatment of OS. The present study screened progression related genes in OS by analyzing a public dataset GSE42352, and identified 691 up-regulated and 945 down-regulated genes in advanced stage OS compared to early-stage OS samples.

Methods: Protein-protein interaction (PPI) networks were further employed to reveal the interaction among these genes. Bioinformatics analysis showed that progression related differently expressed genes (DEGs) were significantly associated with the regulation of cell proliferation and metabolisms.

Results: This study revealed that progression related DEGs were dysregulated in metastatic OS compared to non-metastatic OS samples. Further analysis showed CSF1R, CASP1, CD163, AP1B1, LAPTM5, PEX19, SLA, STAB1, YWHAH, PLCB2, and GPR84 were associated with the metastasis-free survival time in patients with OS.

Conclusion: These findings provided novel information for us to understand the mechanisms underlying the progression and metastasis of OS.

Keywords: Osteosarcoma, metastasis, bioinformatics analysis, signaling pathway, protein, genes.

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