Down-regulation of miR-146a-5p and its potential targets in hepatocellular carcinoma validated by a TCGA- and GEO-based study.
Daniel Xin ZhangZhi-Hua YeHai-Wei LiangFang-Hui RenPing LiYi-Wu DangGang ChenPublished in: FEBS open bio (2017)
Our previous research has demonstrated that miR-146a-5p is down-regulated in hepatocellular carcinoma (HCC) and might play a tumor-suppressive role. In this study, we sought to validate the decreased expression with a larger cohort and to explore potential molecular mechanisms. GEO and TCGA databases were used to gather miR-146a-5p expression data in HCC, which included 762 HCC and 454 noncancerous liver tissues. A meta-analysis of the GEO-based microarrays, TCGA-based RNA-seq data, and additional qRT-PCR data validated the down-regulation of miR-146a-5p in HCC and no publication bias was observed. Integrated genes were generated by overlapping miR-146a-5p-related genes from predicted and formerly reported HCC-related genes using natural language processing. The overlaps were comprehensively analyzed to discover the potential gene signatures, regulatory pathways, and networks of miR-146a-5p in HCC. A total of 251 miR-146a-5p potential target genes were predicted by bioinformatics platforms and 104 genes were considered as both HCC- and miR-146a-5p-related overlaps. RAC1 was the most connected hub gene for miR-146a-5p and four pathways with high enrichment (VEGF signaling pathway, adherens junction, toll-like receptor signaling pathway, and neurotrophin signaling pathway) were denoted for the overlapped genes. The down-regulation of miR-146a-5p in HCC has been validated with the most complete data possible. The potential gene signatures, regulatory pathways, and networks identified for miR-146a-5p in HCC could prove useful for molecular-targeted diagnostics and therapeutics.
Keyphrases
- genome wide
- signaling pathway
- genome wide identification
- toll like receptor
- rna seq
- big data
- transcription factor
- electronic health record
- single cell
- pi k akt
- poor prognosis
- dna methylation
- genome wide analysis
- epithelial mesenchymal transition
- gene expression
- bioinformatics analysis
- immune response
- small molecule
- human health
- inflammatory response
- machine learning
- nuclear factor
- risk assessment
- drug delivery
- endoplasmic reticulum stress
- long non coding rna
- cell proliferation
- single molecule
- network analysis