Identification of key genes for osteosarcoma development and progression using multiple gene expression profile
HAN Xiao-ling
WANG Sheng-chun
HAN Qiao-ying
LIANG Lan
Abstract：Objective To identify key genes for osteosarcoma occurrence and progression using multiple gene expression profile.Methods Multiple gene expression profile of osteosarcoma in GEO database was integrated into an expression matrix.The key osteosarcoma-associated genes underwent functional annotation and pathway enrichment analysis,followed by identifying the key genes for osteosarcoma development and progression.Results Four osteosarcoma datasets were integrated into a matrix file containing 98 samples and 13 914 gene expression profiles.The turquoise module was the most associated module for osteosarcoma(cor=0.71,P=4e-16),and included LDHB,CBX2,CCT3,KPNA2,PPAT,MSH6,UBE2C,SNRPA1,CCDC58,TMEM97 and KIF2C,of which SNRPA1,CCDC58,TMEM97,KIF2C,and UBE2C have not been reported.Conclusion Eleven key genes are associated with osteosarcoma occurrence and progression.
Keywords：osteosarcomaGEO databasekey genes
Publication Date：2023-12-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 613-618 )