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Archive > Volume 27 Issue 11 > 2020,27(11):1278-1283. DOI:10.3872/j.issn.1007-385X.2020.11.011 Prev Next
Clinical Research
Bioinformatics study on cisplatin resistance related genes in non-small cell lung cancer
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Abstract:
Objective: To screen differentially expressed genes (DEGs) and key pathways by analyzing the gene chip expression data of cisplatin sensitive and resistant strains of non-small cell lung cancer (NSCLC), and to explore the key cluster functions by constructing protein-protein interaction (PPI) networks. Methods：Gene chip expression data were obtained from GEO database, and the DEGs were screened by GEO2R tool; PPI network was constructed by STRING database and Cytoscape software, and relevant characteristic genes and signal pathway information were obtained by DAVID enrichment. Results：A total of 481 DEGs were obtained by microarray analysis. Compared with sensitive cell lines, 418 genes were up-regulated and 63 genes were down-regulated in cisplatin resistant cell lines. The DEGs were mainly enriched in piRNA metabolism, DNA methylation modification, cell mitosis and cell cycle progression etc. The protein complex was predicted to have 6 main functional clusters, which were respectively related to chemokine,keratinization, piRNA metabolism, cytokine receptor interaction, cytokine secretion regulation and chromatin silencing related biological processes. Conclusion：In this study, bioinformatics methods were used to find the characteristic genes and signaling pathways of cisplatin resistant cell lines, among which the significantly up-regulated genes such as SAA1, KRT5, TDRD9, BCL2A1,CSF1R and HIST1H1A and their functional groups may be the potential molecular mechanism of cisplatin resistance in NSCLC,providing a new theoretical basis for clinical precision therapy.
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Project Supported:
Project supported by the Natural Science Foundation/Youth Foundation of Zhejiang Province (LQ19H160004)
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