Literature DB >> 28260111

Molecular characterization of metastatic osteosarcoma: Differentially expressed genes, transcription factors and microRNAs.

Lisong Heng1, Zhen Jia2, Jie Bai1, Kun Zhang1, Yangjun Zhu1, Jianbing Ma1, Jun Zhang1, Honghao Duan1.   

Abstract

The present study aimed to understand the molecular mechanisms underlying osteosarcoma metastasis. Microarray dataset GSE49003 was downloaded from the Gene Expression Omnibus database and used for analysis. Raw expression data were preprocessed using the preprocessCore, impute and aggregate packages in R. Differentially expressed genes (DEGs) between metastatic and non‑metastatic osteosarcoma cell lines were screened using the limma package following exclusion of DEGs with a higher significance in intra‑groups compared with inter‑groups using the genefilter package. Enrichment analysis was performed on DEGs using TargetMine, followed by identification of transcription factors (TFs) and microRNAs (miRNAs). Regulatory networks were constructed using Cytoscape software. A total of 248 upregulated and 208 downregulated genes were obtained. The upregulated genes were significantly enriched in the following pathways: Downregulation of transforming growth factor β (TGF‑β) receptor signaling and TGF‑β receptor signaling activates SMADs; these upregulated genes included protein phosphatase 1, regulatory subunit 15A, transforming growth factor, β receptor II and ubiquitin carboxyl‑terminal hydrolase L5. In addition, some upregulated genes were enriched in lung cancer disease ontology, including epidermal growth factor receptor (EGFR), insulin‑like growth factor 2 mRNA binding protein 3 (IGF2BP3), runt‑related transcription factor 3 (RUNX3) and secreted frizzled‑related protein 1 (SFRP1). Conversely, the downregulated genes were significantly enriched in extracellular matrix‑associated pathways or functions, such as collagen, type XII, α 1; collagen, type I, α 1; collagen, type IV, α 1; and collagen, type V, α 1. In addition, some downregulated genes were significantly enriched in the TGF‑β signaling pathway, including bone morphogenetic protein 4, inhibitor of DNA binding 3 and SMAD family member 6. A total of 10 TFs and 84 miRNAs (e.g. miR-21-5p) were deemed to be associated with DEGs. In conclusion, DEGs enriched in the downregulation of TGF‑β receptor signaling, TGF‑β receptor signaling activates SMADs and TGF‑β signaling pathways, as well as the extracellular matrix may be implicated in the progression of osteosarcoma metastasis. Dysregulated EGFR, IGF2BP3, RUNX3 and SFRP1 may contribute to the metastasis of osteosarcoma to the lungs. In addition, screened TFs and miR-21-5p may be associated with metastasis via target genes.

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Year:  2017        PMID: 28260111     DOI: 10.3892/mmr.2017.6286

Source DB:  PubMed          Journal:  Mol Med Rep        ISSN: 1791-2997            Impact factor:   2.952


  8 in total

1.  Integrated analyses of an RNA binding protein-based signature related to tumor immune microenvironment and candidate drugs in osteosarcoma.

Authors:  Abdulraheem Gul Mohammad; Dapeng Li; Rong He; Xuan Lei; Lianghao Mao; Bing Zhang; Xinyu Zhong; Zhengyu Yin; Wenbing Cao; Wenchao Zhang; Ruoxuan Hei; Qiping Zheng; Yiming Zhang
Journal:  Am J Transl Res       Date:  2022-04-15       Impact factor: 3.940

Review 2.  Advanced development of ErbB family-targeted therapies in osteosarcoma treatment.

Authors:  Wei Wang; Hua-Fu Zhao; Teng-Fei Yao; Hao Gong
Journal:  Invest New Drugs       Date:  2018-10-24       Impact factor: 3.850

3.  Screening and evaluation of key genes in contributing to pathogenesis of hepatic fibrosis based on microarray data.

Authors:  Furong Wu; Lijuan Ning; Ran Zhou; Aizong Shen
Journal:  Eur J Med Res       Date:  2020-09-17       Impact factor: 2.175

Review 4.  Avenues of research in dietary interventions to target tumor metabolism in osteosarcoma.

Authors:  Taiana Campos Leite; Rebecca Jean Watters; Kurt Richard Weiss; Giuseppe Intini
Journal:  J Transl Med       Date:  2021-10-29       Impact factor: 5.531

5.  Deep RNA sequencing reveals the dynamic regulation of miRNA, lncRNAs, and mRNAs in osteosarcoma tumorigenesis and pulmonary metastasis.

Authors:  Lin Xie; Zhihong Yao; Ya Zhang; Dongqi Li; Fengdi Hu; Yedan Liao; Ling Zhou; Yonghong Zhou; Zeyong Huang; Zewei He; Lei Han; Yihao Yang; Zuozhang Yang
Journal:  Cell Death Dis       Date:  2018-07-10       Impact factor: 8.469

6.  MicroRNA-939-5p directly targets IGF-1R to inhibit the aggressive phenotypes of osteosarcoma through deactivating the PI3K/Akt pathway.

Authors:  Xiwu Zhao; Jian Li; Dapeng Yu
Journal:  Int J Mol Med       Date:  2019-09-05       Impact factor: 5.314

7.  Genetic regulatory subnetworks and key regulating genes in rat hippocampus perturbed by prenatal malnutrition: implications for major brain disorders.

Authors:  Jiaying Chen; Xinzhi Zhao; Li Cui; Guang He; Xinhui Wang; Fudi Wang; Shiwei Duan; Lin He; Qiang Li; Xiaodan Yu; Fuquan Zhang; Mingqing Xu
Journal:  Aging (Albany NY)       Date:  2020-05-11       Impact factor: 5.682

Review 8.  The Role of IGF/IGF-IR-Signaling and Extracellular Matrix Effectors in Bone Sarcoma Pathogenesis.

Authors:  George N Tzanakakis; Eirini-Maria Giatagana; Aikaterini Berdiaki; Ioanna Spyridaki; Kyoko Hida; Monica Neagu; Aristidis M Tsatsakis; Dragana Nikitovic
Journal:  Cancers (Basel)       Date:  2021-05-19       Impact factor: 6.639

  8 in total

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