Literature DB >> 28000890

Combined analysis of gene expression, miRNA expression and DNA methylation profiles of osteosarcoma.

Wenpeng Zhang1, Shiliang Han2, Kang Sun1.   

Abstract

Osteosarcoma (OS) is a common primary malignancy in children and adolescents with relative high survival rate after chemotherapy. While the toxicity of chemotherapy and personalized different response to chemotherapy makes it difficult for the selection of therapeutics and improvement of diagnosis. In this study, we conducted a combined analysis of three types of microarray datasets (gene expression, microRNA (miRNA) expression and DNA methylation) from the Gene Expression Omnibus (GEO). The differential expression genes (DEGs) and miRNAs (DEMI) were screened out via the limma package and differential methylation sites (DMS) were identified by the IMA package. Enriched functions of DEGs and genes contained DMS (DEMs) were obtained through the Database for Annotation, Visualization and Integrated Discovery (DAVID). Besides, miRNA-gene regulation network was obtained based on the pairs of involved DEMIs and overlapping genes between DEMs and DEGs and visualized through Cytoscape software. A total of 583 DEGs and 1051 DMS (corresponding to 827 DEMs) were identified and 56 overlaps were obtained. As expected, most of the expression and methylation profiles of the overlaps exhibited significant negative correlation. The DEGs were mainly enriched in the biological processes related to inflammatory/immune response, cell proliferation, while DEMs were involved in the regulation of gene expression, tissue/organ development. Based on the correlation and network analysis, some novel targets were identified for OS and many known biomarkers were proved in this study, which would be helpful in its early diagnosis and treatment.

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Year:  2016        PMID: 28000890     DOI: 10.3892/or.2016.5324

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  6 in total

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2.  miR-486 suppresses the development of osteosarcoma by regulating PKC-δ pathway.

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Journal:  Int J Oncol       Date:  2017-03-22       Impact factor: 5.650

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Journal:  Front Genet       Date:  2019-03-08       Impact factor: 4.599

4.  Identification of a Two-Gene (PML-EPB41) Signature With Independent Prognostic Value in Osteosarcoma.

Authors:  Shengye Liu; Jiamei Liu; Xuechen Yu; Tao Shen; Qin Fu
Journal:  Front Oncol       Date:  2020-01-24       Impact factor: 6.244

5.  Procaine Inhibits Proliferation and Migration and Promotes Cell Apoptosis in Osteosarcoma Cells by Upregulation of MicroRNA-133b.

Authors:  Boda Ying; Hong Huang; Hongfei Li; Meng Song; Sizhan Wu; Hongliang Ying
Journal:  Oncol Res       Date:  2017-03-02       Impact factor: 5.574

6.  Microarray Analysis of Small Extracellular Vesicle-Derived miRNAs Involved in Oxidative Stress of RPE Cells.

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Journal:  Oxid Med Cell Longev       Date:  2020-10-27       Impact factor: 6.543

  6 in total

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