Lung adenocarcinoma (LUAD), the most common histological type of
non-small cell lung cancer, is one of the most malignant and deadly diseases. Current treatments for advanced LUAD patients are far from ideal and require further improvements. Here, we utilized a systematic integrative analysis of LUAD
microRNA sequencing (
miRNA-seq) and
RNA-seq data from The
Cancer Genome Atlas (TCGA) to identify clinically relevant
tumor suppressor
miRNAs. Three
miRNA candidates (miR-195-5p, miR-101-3p, and miR-338-5p) were identified based on their differential expressions, survival significance levels, correlations with targets, and an additive effect on survival among them. We further evaluated mimics of the three
miRNAs to determine their therapeutic potential in inhibiting
cancer progression. The results showed not only that each of the
miRNA mimics alone but also the three
miRNA mimics in combination were efficient at inhibiting
tumor growth and progression with equal final concentrations, meaning that the three
miRNA mimics in combination were more effective than the single
miRNA mimics. Moreover, the combined
miRNA mimics provided significant
therapeutic effects in terms of reduced
tumor volume and
metastasis nodules in lung
tumor animal models. Hence, our findings show the potential of using the three
miRNAs in combination to treat LUAD patients with poor survival outcomes.