Genome-Wide Expression Difference of MicroRNAs in Basal Cell Carcinoma

Loss of ARHGAP40 expression in basal cell carcinoma via CpG island hypermethylation

Basal cell carcinoma (BCC) is the most common malignant tumour arising from the basal cells of the epidermis or follicular structures. The aetiology of BCC is a multifactorial combination of genotype, phenotype and environmental factors. The pathogenesis of BCC remains unclear, with diverse and complex signalling pathways involved. ARHGAP40 is a Rho GTPase-activating protein (RhoGAP). Rho GTPases play a crucial role in the formation and progression of numerous cancers. The expression levels and roles of ARHGAP40 in BCC have not been explored. Here, ARHGAP40 expression was detected in a set of formalin-fixed, paraffin-embedded (FFPE) samples of basal cell carcinoma, paracancerous normal skin and benign skin lesions. The epigenetic mechanism that downregulates ARHGAP40 in basal cell carcinoma was investigated. We found that ARHGAP40 is expressed in normal basal cells and most benign skin lesions but lost in most basal cell carcinomas. We detected CpG island hypermethylation at the promoter-associated region of ARHGAP40. Our data suggest that ARHGAP40 is downregulated in BCC due to hypermethylation. ARHGAP40 protein is a potential novel biomarker for distinguishing trichoblastoma from BCC. This report is preliminary, and extensive research into the role of ARHGAP40 in BCC carcinogenesis and its potential as a treatment target is required in the future.

Basal Cell Carcinoma: an updated review of pathogenesis and treatment options

Basal cell carcinoma (BCC) remains the most common malignancy worldwide. BCC pathogenesis is a result of the interplay between one's environment, genetics, and phenotypic factors. BCC has a low mortality but given its increasing incidence and potential to cause local destruction thus resulting in significant morbidity, it is vital for dermatologists to remain up to date with recent updates in this malignancy's pathogenesis and treatment. This article provides a comprehensive review of the pathogenesis of BCC as well as the current treatments available and clinical trials underway. We also touch upon the updated National Comprehensive Cancer Network Clinical Practice Guidelines in Oncology in respect to BCC's recommended treatment modalities.

Identification of circRNA-miRNA-Immune-Related mRNA Regulatory Network in Gastric Cancer

The pathogenesis of gastric cancer (GC) is still not fully understood. We aimed to find the potential regulatory network for ceRNA (circRNA–miRNA–immune-related mRNA) to uncover the pathological molecular mechanisms of GC. The expression profiles of circRNA, miRNA, and mRNA in gastric tissue from GC patients were downloaded from the Gene Expression Omnibus (GEO) datasets. Differentially expressed circRNAs, miRNAs, and immune-related mRNAs were filtered, followed by the construction of the ceRNA (circRNA–miRNA–immune-related mRNA) network. Functional annotation and protein–protein interaction (PPI) analysis of immune-related mRNAs in the network were performed. Expression validation of circRNAs and immune-related mRNAs was performed in the new GEO and TCGA datasets and in-vitro experiment. A total of 144 differentially expressed circRNAs, 216 differentially expressed miRNAs, and 2,392 differentially expressed mRNAs were identified in GC. Some regulatory pairs of circRNA–miRNA–immune-related mRNA were obtained, including hsa_circ_0050102–hsa-miR-4537–NRAS–Tgd cells, hsa_circ_0001013–hsa-miR-485-3p–MAP2K1–Tgd cells, hsa_circ_0003763–hsa-miR-145-5p–FGF10–StromaScore, hsa_circ_0001789–hsa-miR-1269b–MET–adipocytes, hsa_circ_0040573–hsa-miR-3686–RAC1–Tgd cells, and hsa_circ_0006089–hsa-miR-5584-3p–LYN–neurons. Interestingly, FGF10, MET, NRAS, RAC1, MAP2K1, and LYN had potential diagnostic value for GC patients. In the KEGG analysis, some signaling pathways were identified, such as Rap1 and Ras signaling pathways (involved NRAS and FGF10), Fc gamma R-mediated phagocytosis and cAMP signaling pathway (involved RAC1), proteoglycans in cancer (involved MET), T-cell receptor signaling pathway (involved MAP2K1), and chemokine signaling pathway (involved LYN). The expression validation of hsa_circ_0003763, hsa_circ_0004928, hsa_circ_0040573, FGF10, MET, NRAS, RAC1, MAP2K1, and LYN was consistent with the integrated analysis. In conclusion, the identified ceRNA (circRNA–miRNA–immune-related mRNA) regulatory network may be associated with the development of GC.