Lung cancer is the most common cause of
cancer-associated death worldwide. Postoperative relapse and subsequent
metastasis result in a high mortality rate, even in early stage
lung cancer.
MicroRNAs (
miRNAs) are small non-coding RNAs that regulate gene expression at the post-transcriptional level and are frequently dysregulated in various
cancers. The aim of this study was to identify recurrence-associated
miRNAs in early stage
lung cancer. To screen for differentially expressed
miRNAs related to postoperative recurrence,
miRNA microarray data derived from stage I
lung adenocarcinoma formalin-fixed
paraffin-embedded (FFPE) tissue samples (nā=ā6) and publically available the
Cancer Genome Atlas (TCGA) data were analyzed. An independent sample (nā=ā29) was used to validate candidate
miRNAs by quantitative real-time polymerase chain reaction (qRT-PCR). In
miRNA expression profiling, we identified 60 significantly dysregulated
miRNAs in the relapsed group. Additionally, 20 dysregulated
miRNAs were found using TCGA data set. Three
miRNAs (let-7g-5p, miR-143-3p, and miR-374a-5p) were associated with postoperative recurrence in both microarray and TCGA data sets. All 3 candidate
miRNAs were validated in the independent cohort of stage I
adenocarcinoma by qRT-PCR. We discovered 3 recurrence-associated
miRNAs of stage I
lung adenocarcinoma samples using FFPE tissue, which showed possible clinical utility as
biomarkers predicting recurrence after curative surgery. Further investigation of the functional properties of these
miRNAs is needed.