Identification and Analysis of Three Hub Prognostic Genes Related to Osteosarcoma Metastasis | Zendy

Jianye Tan | Zendy; Haofeng Liang | Zendy; Bingsheng Yang | Zendy; Shuang Zhu | Zendy; Guofeng Wu | Zendy; Lutao Li | Zendy; Zhengwei Liu | Zendy; Lin Li | Zendy; Weizhong Qi | Zendy; Sijing Li | Zendy; Lijun Lin | Zendy

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Identification and Analysis of Three Hub Prognostic Genes Related to Osteosarcoma Metastasis

Author(s) -

Jianye Tan,

Haofeng Liang,

Bingsheng Yang,

Shuang Zhu,

Guofeng Wu,

Lutao Li,

Zhengwei Liu,

Lin Li,

Weizhong Qi,

Sijing Li,

Lijun Lin

Publication year - 2021

Publication title -

journal of oncology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.228

H-Index - 54

eISSN - 1687-8469

pISSN - 1687-8450

DOI - 10.1155/2021/6646459

Subject(s) - competing endogenous rna , microrna , gene , proportional hazards model , osteosarcoma , transcriptome , biology , metastasis , computational biology , survival analysis , bioinformatics , oncology , medicine , gene expression , long non coding rna , cancer research , cancer , genetics , rna

Osteosarcoma (OS) often occurs in children and often undergoes metastasis, resulting in lower survival rates. Information on the complexity and pathogenic mechanism of OS is limited, and thus, the development of treatments involving alternative molecular and genetic targets is hampered. We categorized transcriptome data into metastasis and nonmetastasis groups, and 400 differential RNAs (230 messenger RNAs (mRNAs) and 170 long noncoding RNAs (lncRNAs)) were obtained by the edgeR package. Prognostic genes were identified by performing univariate Cox regression analysis and the Kaplan–Meier (KM) survival analysis. We then examined the correlation between the expression level of prognostic lncRNAs and mRNAs. Furthermore, microRNAs (miRNAs) corresponding to the coexpression of lncRNA-mRNA was predicted, which was used to construct a competitive endogenous RNA (ceRNA) regulatory network. Finally, multivariate Cox proportional risk regression analysis was used to identify hub prognostic genes. Three hub prognostic genes (ABCG8, LOXL4, and PDE1B) were identified as potential prognostic biomarkers and therapeutic targets for OS. Furthermore, transcriptions factors (TFs) (DBP, ESX1, FOS, FOXI1, MEF2C, NFE2, and OTX2) and lncRNAs (RP11-357H14.16, RP11-284N8.3, and RP11-629G13.1) that were able to affect the expression levels of genes before and after transcription were found to regulate the prognostic hub genes. In addition, we identified drugs related to the prognostic hub genes, which may have potential clinical applications. Immunohistochemistry (IHC) and quantitative real-time polymerase chain reaction (qRT-PCR) confirmed that the expression levels of ABCG8, LOXL4, and PDE1B coincided with the results of bioinformatics analysis. Moreover, the relationship between the hub prognostic gene expression and patient prognosis was also validated. Our study elucidated the roles of three novel prognostic biomarkers in the pathogenesis of OS as well as presenting a potential clinical treatment for OS.

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