Transcriptomic studies provide insights into the tumor suppressive role of miR-146a-5p in non-small cell lung cancer (NSCLC) cells.
Joseph R IaconaNicholas J MonteleoneAlexander D LemenzeAshley L CornettCarol S LutzPublished in: RNA biology (2019)
Non-small cell lung cancer (NSCLC) is a complex disease in need of new methods of therapeutic intervention. Recent interest has focused on using microRNAs (miRNAs) as a novel treatment method for various cancers. miRNAs negatively regulate gene expression post-transcriptionally, and have become attractive candidates for cancer treatment because they often simultaneously target multiple genes of similar biological function. One such miRNA is miR-146a-5p, which has been described as a tumor suppressive miRNA in NSCLC cell lines and tissues. In this study, we performed RNA-Sequencing (RNA-Seq) analysis following transfection of synthetic miR-146a-5p in an NSCLC cell line, A549, and validated our data with Gene Ontology and qRT-PCR analysis of known miR-146a-5p target genes. Our transcriptomic data revealed that miR-146a-5p exerts its tumor suppressive function beyond previously reported targeting of EGFR and NF-κB signaling. miR-146a-5p mimic transfection downregulated arachidonic acid metabolism genes, the RNA-binding protein HuR, and many HuR-stabilized pro-cancer mRNAs, including TGF-β, HIF-1α, and various cyclins. miR-146a-5p transfection also reduced expression and cellular release of the chemokine CCL2, and this effect was mediated through the 3' untranslated region of its mRNA. Taken together, our work reveals that miR-146a-5p functions as a tumor suppressor in NSCLC by controlling various metabolic and signaling pathways through direct and indirect mechanisms.
Keyphrases
- small cell lung cancer
- single cell
- rna seq
- binding protein
- advanced non small cell lung cancer
- gene expression
- genome wide
- signaling pathway
- genome wide identification
- brain metastases
- induced apoptosis
- genome wide analysis
- epidermal growth factor receptor
- dna methylation
- electronic health record
- bioinformatics analysis
- pi k akt
- big data
- poor prognosis
- endothelial cells
- machine learning
- cell cycle arrest
- tyrosine kinase
- transcription factor
- papillary thyroid
- cell proliferation
- long non coding rna
- endoplasmic reticulum stress
- epithelial mesenchymal transition
- deep learning
- liver injury
- anti inflammatory