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Identification and Analysis of Three Hub Prognostic Genes Related to Osteosarcoma Metastasis
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 categoriz...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867449/ https://www.ncbi.nlm.nih.gov/pubmed/33564309 http://dx.doi.org/10.1155/2021/6646459 |
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author | Tan, Jianye Liang, Haofeng Yang, Bingsheng Zhu, Shuang Wu, Guofeng Li, Lutao Liu, Zhengwei Li, Lin Qi, Weizhong Li, Sijing Lin, Lijun |
author_facet | Tan, Jianye Liang, Haofeng Yang, Bingsheng Zhu, Shuang Wu, Guofeng Li, Lutao Liu, Zhengwei Li, Lin Qi, Weizhong Li, Sijing Lin, Lijun |
author_sort | Tan, Jianye |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7867449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-78674492021-02-08 Identification and Analysis of Three Hub Prognostic Genes Related to Osteosarcoma Metastasis Tan, Jianye Liang, Haofeng Yang, Bingsheng Zhu, Shuang Wu, Guofeng Li, Lutao Liu, Zhengwei Li, Lin Qi, Weizhong Li, Sijing Lin, Lijun J Oncol Research Article 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. Hindawi 2021-01-30 /pmc/articles/PMC7867449/ /pubmed/33564309 http://dx.doi.org/10.1155/2021/6646459 Text en Copyright © 2021 Jianye Tan et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Tan, Jianye Liang, Haofeng Yang, Bingsheng Zhu, Shuang Wu, Guofeng Li, Lutao Liu, Zhengwei Li, Lin Qi, Weizhong Li, Sijing Lin, Lijun Identification and Analysis of Three Hub Prognostic Genes Related to Osteosarcoma Metastasis |
title | Identification and Analysis of Three Hub Prognostic Genes Related to Osteosarcoma Metastasis |
title_full | Identification and Analysis of Three Hub Prognostic Genes Related to Osteosarcoma Metastasis |
title_fullStr | Identification and Analysis of Three Hub Prognostic Genes Related to Osteosarcoma Metastasis |
title_full_unstemmed | Identification and Analysis of Three Hub Prognostic Genes Related to Osteosarcoma Metastasis |
title_short | Identification and Analysis of Three Hub Prognostic Genes Related to Osteosarcoma Metastasis |
title_sort | identification and analysis of three hub prognostic genes related to osteosarcoma metastasis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867449/ https://www.ncbi.nlm.nih.gov/pubmed/33564309 http://dx.doi.org/10.1155/2021/6646459 |
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