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Identifying Differentially Expressed Genes and Screening Small Molecule Drugs for Lapatinib-resistance of Breast Cancer by a Bioinformatics Strategy

  • Zhuo, Wen-Lei (Institute of Cancer, Xinqiao Hospital, Third Military Medical University) ;
  • Zhang, Liang (Institute of Cancer, Xinqiao Hospital, Third Military Medical University) ;
  • Xie, Qi-Chao (Institute of Cancer, Xinqiao Hospital, Third Military Medical University) ;
  • Zhu, Bo (Institute of Cancer, Xinqiao Hospital, Third Military Medical University) ;
  • Chen, Zheng-Tang (Institute of Cancer, Xinqiao Hospital, Third Military Medical University)
  • 발행 : 2015.01.22

초록

Background: Lapatinib, a dual tyrosine kinase inhibitor that interrupts the epidermal growth factor receptor (EGFR) and HER2/neu pathways, has been indicated to have significant efficacy in treating HER2-positive breast cancer. However, acquired drug resistance has become a very serious clinical problem that hampers the use of this agent. In this study, we aimed to screen small molecule drugs that might reverse lapatinib-resistance of breast cancer by exploring differentially expressed genes (DEGs) via a bioinformatics method. Materials and Methods: We downloaded the gene expression profile of BT474-J4 (acquired lapatinib-resistant) and BT474 (lapatinib-sensitive) cell lines from the Gene Expression Omnibus (GEO) database and selected differentially expressed genes (DEGs) using dChip software. Then, gene ontology and pathway enrichment analyses were performed with the DAVID database. Finally, a connectivity map was utilized for predicting potential chemicals that reverse lapatinib-resistance. Results: A total of 1, 657 DEGs were obtained. These DEGs were enriched in 10 pathways, including cell cycling, regulation of actin cytoskeleton and focal adhesion associate examples. In addition, several small molecules were screened as the potential therapeutic agents capable of overcoming lapatinib-resistance. Conclusions: The results of our analysis provided a novel strategy for investigating the mechanism of lapatinib-resistance and identifying potential small molecule drugs for breast cancer treatment.

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피인용 문헌

  1. Identification of Biomarkers for Breast Cancer Using Databases vol.21, pp.4, 2016, https://doi.org/10.15430/JCP.2016.21.4.235