ABSTRACT
Skin cutaneous melanoma (SKCM) is a highly aggressive tumor. The mortality and drug resistance among it are high. Thus, exploring predictive biomarkers for prognosis has become a priority. We aimed to find immune cell-based biomarkers for survival prediction. Here 321 genes were differentially expressed in immune-related groups after ESTIMATE analysis and differential analysis. Two hundred nineteen of them were associated with the metastasis of SKCM via weighted gene co-expression network analysis. Twenty-six genes in this module were hub genes. Twelve of the 26 genes were related to overall survival in SKCM patients. After a multivariable Cox regression analysis, we obtained six of these genes (PLA2G2D, IKZF3, MS4A1, ZC3H12D, FCRL3, and P2RY10) that were independent prognostic signatures, and a survival model of them performed excellent predictive efficacy. The results revealed several essential genes that may act as significant prognostic factors of SKCM, which could deepen our understanding of the metastatic mechanisms and improve cancer treatment.
ABSTRACT
Background: The incidence of skin cutaneous melanoma (SKCM) has risen more rapidly than any other solid tumor in the past few decades. The median survival for metastatic melanoma is only six to nine months and the 5°years survival rate of patients with conventional therapy is less than 5%. Our aim was to reveal the potential molecular mechanism in m6A modification of lncRNA and provide candidate prognostic biomarkers for metastatic SKCM. Methods: lncRNAs expression level was obtained by re-annotation in TCGA and CCLE datasets. m6A-related lncRNAs were selected though correlation analysis. Univariate cox regression analysis was used to screen out independent prognostic factors. LASSO Cox regression was performed to construct an m6A-related lncRNA model (m6A-LncM). Univariate survival analysis and ROC curve were used to assess the prognostic efficacy of this model and candidate lncRNAs. Enrichment analysis was used to explore the candidate genes' functions. Results: We obtained 1,086 common m6A-related lncRNAs after Pearson correlation analysis in both two datasets. 130 out of the 1,086 lncRNAs are independent prognostic factors. 24 crucial lncRNAs were filtered after LASSO Cox regression analysis. All the m6A-LncM and the 24 lncRNAs were related to overall survival. Stratified survival analysis of m6A-LncM showed that the model retains its prognostic efficacy in recurrence, radiation therapy and other subgroups. Enrichment analysis also found that these lncRNAs were immune associated. Conclusion: Here, we obtained 24 crucial lncRNAs that may be potential biomarkers to predict survival of metastatic SKCM and may provide a new insight to improve the prognosis of it.
ABSTRACT
Psoriasis is a T-cell-mediated inflammatory skin disease that is characterized by excessive keratinocyte proliferation and persistent skin inflammation. Accumulating evidence suggests that long non-coding RNAs (lncRNAs) are dysregulated in a number of inflammatory conditions. In the present study, an in vitro psoriasis cell model was established. Human HaCaT keratinocytes were activated using the inflammatory factor IL-22. Briefly, HaCaT cells were starved in serum-free DMEM for 24 h and then stimulated with 100 ng/ml IL-22 in serum-free DMEM for 24 h. Previous research indicated that HOX transcript antisense RNA (HOTAIR) may participate in the development of psoriasis. First, reverse transcription-quantitative PCR (RT-qPCR) analysis was performed to detect HOTAIR expression. The results indicated that HOTAIR expression was reduced in IL-22-stimulated HaCaT cells. Subsequently, a dual-luciferase reporter assay was performed to verify the binding site between HOTAIR and microRNA (miR)-126. The RT-qPCR results indicated that miR-126 expression was increased in IL-22-stimulated HaCaT cells. Moreover, the effects of HOTAIR and miR-126 on IL-22-stimulated HaCaT cell proliferation and apoptosis were assessed. HaCaT cells were transfected with control-plasmid, HOTAIR-plasmid, HOTAIR-plasmid + mimic control or HOTAIR-plasmid + miR-126 mimic for 24 h. At 24 h post-transfection, the cells were stimulated with 100 ng/ml IL-22 for 24 h and experiments were conducted. IL-22 induced cell proliferation and suppressed apoptosis. However, HOTAIR-plasmid inhibited cell viability and induced apoptosis in IL-22-stimulated HaCaT cells. In addition, the western blotting results indicated that HOTAIR-plasmid increased cleaved caspase-3 expression and the cleaved caspase-3/caspase-3 ratio, whereas the HOTAIR-plasmid-mediated effects were reversed by miR-126 mimic. Collectively, the results of the present study demonstrated that the lncRNA-HOTAIR/miR-126 axis may be implicated in the regulation of psoriasis progression and may serve as a potential therapeutic target for psoriasis.
