MicroRNA profiling data of fresh lung adenocarcinoma and adjacent normal tissues obtained from ten Korean patients using miRNA-seq

MicroRNA transcriptomes from fresh tumor and adjacent normal tissues of ten Korean patients who were diagnosed with lung adenocarcinoma were profiled using a next-generation sequencing (NGS) technique called miRNA-seq. The quality of sequencing was measured using FastQC, and low-quality and/or adapter-contaminated portions of reads were removed with Trim Galore. Quality-assured reads were analyzed using miRDeep2 with Bowtie. The abundance of known miRNAs was estimated by the read per million (RPM) normalization method. Then, differentially expressed miRNAs and potential miRNA biomarkers for lung adenocarcinoma tissues compared to adjacent normal tissues were identified using DESeq2 and Wx, respectively. Finally, reliable miRNA biomarkers for lung adenocarcinoma were defined as those detected by both methods. The miRNA-seq data are available in the gene expression omnibus (GEO) database with accession number GSE196633.