Abstract:
Objective This study measured the expression of microRNAs (miRs) between paired lung cancer tissues with and without epidermal growth factor receptor (EGFR) mutation and then bioinformatically predicted the target genes. The functions of miRs were analyzed to provide basis for the potential regulator mechanism between miR and EGFR in the future.
Methods The TaqMan low-density array was applied to identify the miRs differently expressed between 4 paired lung cancer tissues with and without EGFR mutation. The target genes of miR-335 were screened using miRanda, PicTar, and TargetScan databases. Subsequent bioinformatics analysis of these target genes was performed by gene ontology (GO) and KEGG pathway analyses using the DAVID database.
Results The miR-335 expression between paired lung cancer tissues was different. A total of 57 predicted target genes of miR-335 were found. The gene set was mainly located in eight molecular functions (P < 0.05), such as channel regulator activity, among others, and 22 biological processes (P < 0.05), such as regulation of RNA metabolic process, among others. GO cellular component and KEGG pathway analyses found no significant result.
Conclusion Results showed that miR-335 had no direct effect on EGFR. However, the regulatory network involving miR-335 might be closely associated with EGFR.