Literature DB >> 35300772

[Bioinformatics Analysis on Key Genes and Immune Infiltration of Osteosarcoma].

Shuai Li1, Zhen-Zhong Zheng1, Yu-Peng Zhang1, Zi-Qun Liu1, Shi-Peng Xiao1, Zheng-Xiao Ouyang2, Bing Wang1.   

Abstract

Objective To screen the potential key genes of osteosarcoma by bioinformatics methods and analyze their immune infiltration patterns. Methods The gene expression profiles GSE16088 and GSE12865 associated with osteosarcoma were obtained from the Gene Expression Omnibus(GEO),and the differentially expressed genes(DEGs)related to osteosarcoma were screened by bioinformatics tools.Gene Ontology(GO)annotation,Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment,and analysis of immune cell infiltration were then carried out for the DEGs.The potential Hub genes of osteosarcoma were identified by protein-protein interaction network,and the expression of Hub genes in osteosarcoma and normal tissue samples was verified via the Cancer Genome Atlas(TCGA). Results A total of 108 DEGs were screened out.GO annotation and KEGG pathway enrichment revealed that the DEGs were mainly involved in integrin binding,extracellular matrix (ECM) structural components,ECM receptor interactions,and phosphatidylinositol 3-kinase/protein kinase B(PI3K/Akt)signaling pathway.Macrophages were the predominant infiltrating immune cells in osteosarcoma.Secreted phosphoprotein 1(SPP1),matrix metallopeptidase 2(MMP2),lysyl oxidase(LOX),collagen type V alpha(II)chain(COL5A2),and melanoma cell adhesion molecule(MCAM)presented differential expression between osteosarcoma and normal tissue samples(all P<0.05). Conclusions SPP1,MMP2,LOX,COL5A2,and MCAM are all up-regulated in osteosarcoma,which may serve as potential biomarkers of osteosarcoma.Macrophages are the key infiltrating immune cells in osteosarcoma,which may provide new perspectives for the treatment of osteosarcoma.

Entities:  

Keywords:  bioinformatics; enrichment analysis; immune infiltration; osteosarcoma

Mesh:

Year:  2022        PMID: 35300772     DOI: 10.3881/j.issn.1000-503X.14106

Source DB:  PubMed          Journal:  Zhongguo Yi Xue Ke Xue Yuan Xue Bao        ISSN: 1000-503X


  1 in total

1.  Clinical Significance and Correlation Decomposition of Cord Blood NO, Activin A Levels, and MCA/UA with Fetal Distress.

Authors:  Yongli Liu; Jinling Yan; Ruifen Jiao; Meixiang Li; Luohong Wei
Journal:  Contrast Media Mol Imaging       Date:  2022-08-09       Impact factor: 3.009

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.