Integrated analysis of miRNA-mRNA networks reveals a strong anti-skin cancer signature in vitiligo epidermis.
Archana SinghAayush GuptaManish ChowdharyHemang D BrahmbhattPublished in: Experimental dermatology (2021)
Expression of microRNAs (miRNAs) is often dysregulated in several cancers, including non-melanoma skin cancer (NMSC). Individuals with vitiligo possess a deregulated miRnome along with a lower risk of developing NMSCs. We used data sets from our previously published studies on vitiligo epidermis to construct functional miRNA-mRNA networks to understand the molecular basis underlying the lower incidence of NMSC observed in individuals with vitiligo. miRTarBase database was used to fetch the experimentally validated targets of differentially expressed miRNAs and two protein-protein interaction (PPI) networks were constructed for the miRNA-mRNA interactions (230 downregulated targets of 5 upregulated miRNAs and 47 upregulated mRNAs targeted by 12 downregulated miRNAs). Pathway enrichment analysis identified RNA biogenesis and transport as well as cell adhesion to be perturbed in vitiligo. Further, oncogenic transcription factors (OTFs) that were upregulated in publicly available squamous cell carcinoma (SCC) or basal cell carcinoma (BCC) microarray data were compared with that of vitiligo to decode skin cancer-specific molecular signatures. We identified three significantly upregulated miRNAs, miR-31-5p, miR-31-3p and miR-194-3p in lesional epidermis that could negatively regulate seven oncogenic transcription factors, FOXC1, AR, SP1, YY1, GLI2, TP53 and RARA, known to be over-expressed in SCC or BCC. Taken together, our study identified a perturbed miRNA-regulated transcriptome, which potentially confers protection to vitiligo skin from an increased incidence of NMSC.
Keyphrases
- skin cancer
- transcription factor
- protein protein
- squamous cell carcinoma
- basal cell carcinoma
- risk factors
- cell adhesion
- small molecule
- poor prognosis
- electronic health record
- machine learning
- gene expression
- genome wide
- drug delivery
- lymph node metastasis
- single cell
- systematic review
- radiation therapy
- soft tissue
- rna seq
- dna binding
- deep learning