miR-154 Influences HNSCC Development and Progression through Regulation of the Epithelial-to-Mesenchymal Transition Process and Could Be Used as a Potential Biomarker.
Weronika TomaszewskaJoanna Kozłowska-MasłońDawid BaranowskiAnna PerkowskaSandra SzałkowskaUrszula KazimierczakPatricia SeverinoKatarzyna LamperskaTomasz KolendaPublished in: Biomedicines (2021)
MicroRNAs and their role in cancer have been extensively studied for the past decade. Here, we analyzed the biological role and diagnostic potential of miR-154-5p and miR-154-3p in head and neck squamous cell carcinoma (HNSCC). miRNA expression analyses were performed using The Cancer Genome Atlas (TCGA) data accessed from cBioPortal, UALCAN, Santa Cruz University, and Gene Expression Omnibus (GEO). The expression data were correlated with clinicopathological parameters. The functional enrichment was assessed with Gene Set Enrichment Analysis (GSEA). The immunological profiles were assessed using the ESTIMATE tool and RNAseq data from TCGA. All statistical analyses were performed with GraphPad Prism and Statistica. The study showed that both miR-154-5p and miR-154-3p were downregulated in the HNSCC samples and their expression levels correlated with tumor localization, overall survival, cancer stage, tumor grade, and HPV p16 status. GSEA indicated that individuals with the increased levels of miR-154 had upregulated AKT-MTOR, CYCLIN D1, KRAS, EIF4E, RB, ATM, and EMT gene sets. Finally, the elevated miR-154 expression correlated with better immune response. This study showed that miR-154 is highly involved in HNSCC pathogenesis, invasion, and immune response. The implementation of miR-154 as a biomarker may improve the effectiveness of HNSCC treatment.
Keyphrases
- cell proliferation
- long non coding rna
- poor prognosis
- immune response
- long noncoding rna
- papillary thyroid
- gene expression
- electronic health record
- squamous cell
- cell cycle
- randomized controlled trial
- genome wide
- primary care
- healthcare
- big data
- dna damage
- signaling pathway
- squamous cell carcinoma
- binding protein
- multidrug resistant
- risk assessment
- inflammatory response
- toll like receptor
- oxidative stress
- dendritic cells
- artificial intelligence
- data analysis
- lymph node metastasis
- transcription factor
- cell death
- genome wide identification
- bioinformatics analysis
- cervical cancer screening