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Original Research

Open Access

Expression profile analysis for epithelial-mesenchymal transition of breast cancer cell line DKTA based on microarray data

  • Rong Wang1,†
  • Chunyu Yin2,†
  • Lei Fu2,3
  • Jing Liu1
  • Jinbin Li2
  • Ling Yin2,*,

1National Research Institute for Health and Family Planning, Beijing, China

2Core Laboratory of Translational Medicine, Chinese PLA General Hospital, Beijing, China

3Department of Medical Engineering, the 401 Hospital of Chinese PLA, Qingdao, China

DOI: 10.12892/ejgo4468.2019 Vol.40,Issue 4,August 2019 pp.579-584

Accepted: 06 November 2017

Published: 10 August 2019

*Corresponding Author(s): Ling Yin E-mail: yinling17vip@163.com

† These authors contributed equally.

Abstract

Objective: This study aimed to explore the molecular mechanisms of epithelial-mesenchymal transition (EMT) in breast cancer cells. Materials and Methods: GSE33146 microarray data downloaded from Gene Expression Omnibus (GEO). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of differentially expressed genes (DEGs) was performed, followed by functional annotation. Protein-protein interaction (PPI) network was constructed, and then five modules were mined for functional analysis. Results: A total of 507 DEGs including 229 up- and 278 down-regulated DEGs were screened between pre- and post-EMT samples. The screened DEGs mainly enriched in KEGG pathways, such as focal adhesion (p = 0.017), TGF-beta signaling pathway (p = 0.028), and ECM-receptor interaction (p = 6.89E-04), and also enriched in some GO terms such as regulation of cell proliferation (p = 2.48E-06) and ectoderm development (p = 2.76E-08). By functional analysis of DEGs, a total of ten proto-oncogenes including PBX1, MYBL1, MET, VAV3, and MYC, and 42 anti-oncogenes including TXNIP, TPM1, TMEFF2, TP63, and STEAP3 were obtained. Seven identified DEGs including SNCG, PTHLH, OAS1, KRT5, ITGB4, CHRM3, and CBLB were obtained. The constructed PPI network contained 192 nodes and 293 edges. A total of five models were screened from PPI network. DEGs in five modules were enriched in various functions, such as response to virus (FDR = 15.2), G-protein coupled receptor protein signaling pathway (FDR = 16.21), focal adhesion (FDR = 5.52E-05), and ECM-receptor interaction (FDR = 6.56E-07). Conclusions: The identified DEGs, especially in five modules, such as OAS1, IFI27, LPAR1, PTGFR, ITGB4, and ITGA6 might participate in EMT process for breast cancer cell lines DKTA.

Keywords

Breast cancer; Epithelial-mesenchymal transition; PPI network

Cite and Share

Rong Wang,Chunyu Yin,Lei Fu,Jing Liu,Jinbin Li,Ling Yin. Expression profile analysis for epithelial-mesenchymal transition of breast cancer cell line DKTA based on microarray data. European Journal of Gynaecological Oncology. 2019. 40(4);579-584.

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