Literature DB >> 33564309

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

Jianye Tan1, Haofeng Liang1,2, Bingsheng Yang1, Shuang Zhu1, Guofeng Wu1, Lutao Li1, Zhengwei Liu1, Lin Li1, Weizhong Qi1, Sijing Li1, Lijun Lin1.   

Abstract

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.
Copyright © 2021 Jianye Tan et al.

Entities:  

Year:  2021        PMID: 33564309      PMCID: PMC7867449          DOI: 10.1155/2021/6646459

Source DB:  PubMed          Journal:  J Oncol        ISSN: 1687-8450            Impact factor:   4.375


  3 in total

1.  Silencing long intergenic non-protein coding RNA 00987 inhibits proliferation, migration, and invasion of osteosarcoma cells by sponging miR-376a-5p to regulate FNBP1 expression.

Authors:  Riliang Cao; Jianli Shao; Wencai Zhang; Yongxin Lin; Zerong Huang; Zhizhong Li
Journal:  Discov Oncol       Date:  2021-06-01

2.  Circ_0136666 aggravates osteosarcoma development through mediating miR-1244/CEP55 axis.

Authors:  Xiang Gao; Nanwei Xu; Kaisong Miao; Gao Huang; Yong Huang
Journal:  J Orthop Surg Res       Date:  2022-09-15       Impact factor: 2.677

3.  Characterization of the Tumor Microenvironment in Osteosarcoma Identifies Prognostic- and Immunotherapy-Relevant Gene Signatures.

Authors:  Jianye Tan; Xuhui Feng; Hangxing Wu; Bingsheng Yang; Meiling Shi; Chao Xie; Zexin Su; Lin Li; Mengliang Luo; Zhijie Zuo; Shuang Zhu; Jiancheng Yang; Lijun Lin
Journal:  J Immunol Res       Date:  2022-08-27       Impact factor: 4.493

  3 in total

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