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Analysis of gene expression change by gefitinib treatment in gefitinib sensitive PC9 and resistant PC9

ABSTRACT: We established a gefitinib-resistant cell line (PC-9GR), by serial exposure of gefitinib to PC-9, an originally gefitinib-sensitive lung cancer cell line (PC-9na), for long period.We collected total RNA from both PC-9 and PC-9GR and examined mRNA expression profile, comprehensively. Gefitinib induced gene expression was measured in human lung cancer cell line was measured at 48 hours after exposure to 1uM Gefitinib.

ORGANISM(S): Homo sapiens

SUBMITTER: Hamamoto Junko

PROVIDER: S-ECPF-GEOD-38302 | biostudies-other |

REPOSITORIES: biostudies-other

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Project description:Introduction: Gefitinib is a selective epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) widely used in lung adenocarcinoma (LUAD) patients harboring sensitive EGFR mutations. Although it has a good initial efficacy, acquired resistance to gefitinib is eventually inevitable. Studies have shown that circular RNA (circRNA) is involved in the development of acquired resistance to different anti-cancer drugs, but the comprehensive analysis of its expression profile and functions on acquired gefitinib resistance remains poor. Methods: To explore the aberrant circRNAs expression profiles, we collected peripheral plasma samples from 4 gefitinib-sensitive and 4 gefitinib-resistant patients for performing microarray analysis. Candidates of differentially expressed circRNAs were used and analyzed by bioinformatics modalities including gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and a constructed circRNA-microRNA RNA network. The differential expression of selected circRNAs was verified by quantitative real-time PCR (qRT-PCR). Results: A total of 2571 circRNAs with significantly different expression between the groups were identified by microarray analysis. GO, KEGG, and pathway enrichment analyses reveal that these differentially expressed circRNAs (DECs) were complicated in many biological pathways that may be related to EGFR-TKI resistance such as ABC transporter and PI3K-Akt pathways. A circRNA-microRNA network was constructed by 10 circRNAs potentially involved in EGFR-TKI resistance togethering with their corresponding microRNAs (miRNAs). Consistent with the results of microarray assay, hsa_circ_0030591 and hsa_circ_0040348 were validated to be upregulated in gefitinib-resistant patients by qRT-PCR. Conclusions: Our study provides valuable data on circRNAs expression profiles detected in liquid biopsy for LUAD patients with acquired gefitinib resistance, and we validate that upregulations of hsa_circ_0030591 and hsa_circ_0040348 may play key roles in EGFR-TKI resistance and thus serving as candidates for biomarker.

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Analysis of gene expression change by gefitinib treatment in gefitinib sensitive PC9 and resistant PC9

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