The emerging role non-coding RNAs in B cell-related disorders

Establishment and validation of a prognostic immune-related lncRNA risk model for acute myeloid leukemia

Background

Acute myeloid leukemia (AML) is a cancer arising in the bone marrow and is the most common type of adult leukemia. AML has a poor prognosis, and currently, its prognosis evaluation does not include immune status assessment. This study established an immune-related long non-coding RNA (lncRNA) prognostic risk model for AML based on immune lncRNAs screening.

Methods

To construct training and validation cohorts, The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) public databases were accessed to obtain gene expression profiles and clinical data. The correlation between lncRNAs and immunity genes was analyzed using the "limma" package, and the immune-related lncRNAs were obtained. Through least absolute shrinkage and selection operator regression, a prognostic model was established with immune-related lncRNAs. Using the median risk score, patients were divided into high- and low-risk groups. The Kaplan-Meier method was used for survival analysis, whereas the accuracy of the risk model was evaluated using time-dependent receiver operating characteristic curves, risk score distribution, survival status, and risk heat maps. We utilized univariate and multivariate Cox regression to examine the association between risk score and clinical variables and AML survival and prognosis.

Results

In the immune-related lncRNA prognostic risk model, the prognosis was better for low-risk than for high-risk patients, indicating risk score of this model as an independent indicator of prognosis. The area under the curve value for 1-, 3-, and 5-year survival of TCGA patients was 0.817, 0.859, and 0.909, respectively, whereas that of GEO patients (of dataset GPL96-GSE37642) was 0.603, 0.652, and 0.624, respectively. Gene set enrichment analysis revealed the enrichment of multiple pathways, such as antigen processing, B-cell receptor signaling pathway, natural killer cell-mediated cytotoxicity, and chemokines, in high-risk patients.

Conclusions

In this study, immune-related lncRNA prognostic risk models effectively predicted AML survival and provided potential treatment targets.

lncRNA ARAP1-AS1 enhances proliferation and impairs apoptosis of lymphoma cells by sponging miR-6867-5p

BACKGROUND

Numerous evidence have suggested the vital role of lncRNAs in human tumorigenesis. And lncRNA APAP1-AS1 has been proved to act as an oncogene.

OBJECTIVE

Nevertheless, the molecular process underlying ARAP1-AS1 for the lymphoma progression has not been well studied.

METHODS

RT-qPCR was used to ascertain the miR-6867-5p and ARAP1-AS1 in lymphoma cells and tissues. The localization of ARAP1-AS1 was determined via subcellular fractionation analysis. A xenograft model was used to investigate the influence of ARAP1-AS1 in formation of tumor in vivo. In addition, interactions between ARAP-AS1 and miR-6867-5p were tested by bioinformatics analysis, RIP assay, luciferase reporter and Pearson's correlation analysis. Combined with loss-of-function experiments, MTT assays and flow cytometry were performed to evaluate the function of miR-6867-5p and also ARAP-AS1 in proliferation and apoptosis of lymphoma cells, respectively.

RESULTS

ARAP1-AS1 was remarkably upregulated in lymphoma cells and tissues, while miR-6867-5p expression was downregulated. Furthermore, high ARAP1-AS1 expression suppressed miR-6867-5p expression in lymphoma cell lines (Raji and CA46), and Pearson's analysis showed negative correlation between ARAP1-AS1 expression and also miR-6867-5p expression. In addition, knockdown of ARAP1-AS1 resulted in weakened cell viability and uplifted apoptosis rate of lymphoma cells (Raji and CA46) as well as a delay in the tumor growth in vivo. Further investigations illustrated that miR-6867-5p inhibitor reversed all above biological activities.

CONCLUSIONS

LncRNA ARAP1-AS1 served as a tumor-promoter in lymphoma cells by sponging with miR-6867-5p, which may help to provide potential therapeutic target gene for lymphoma patients.

Circular RNA circLOC101928570 suppresses systemic lupus erythematosus progression by targeting the miR-150-5p/c-myb axis

Background

Accumulating evidence supports the implication of circular RNAs (circRNAs) in systemic lupus erythematosus (SLE). However, little is known about the detailed mechanisms and roles of circRNAs in the pathogenesis of SLE.

Methods

Quantitative real-time PCR was used to determine the levels of circLOC101928570 and miR-150-5p in peripheral blood mononuclear cells of SLE. Overexpression and knockdown experiments were conducted to assess the effects of circLOC101928570. Fluorescence in situ hybridization, RNA immunoprecipitation, luciferase reporter assays, Western blot, flow cytometry analysis and enzyme-linked immunosorbent assay were used to investigate the molecular mechanisms underlying the function of circLOC101928570.

Results

The results showed that the level of circLOC101928570 was significantly downregulated in SLE and correlated with the systemic lupus erythematosus disease activity index. Functionally, circLOC101928570 acted as a miR-150-5p sponge to relieve the repressive effect on its target c-myb, which modulates the activation of immune inflammatory responses. CircLOC101928570 knockdown enhanced apoptosis. Moreover, circLOC101928570 promoted the transcriptional level of IL2RA by directly regulating the miR-150-5p/c-myb axis.

Conclusion

Overall, our findings demonstrated that circLOC101928570 played a critical role in SLE. The downregulation of circLOC101928570 suppressed SLE progression through the miR-150-5p/c-myb/IL2RA axis. Our findings identified that circLOC101928570 serves as a potential biomarker for the diagnosis and therapy of SLE.

Epigenetic regulation of B cells and its role in autoimmune pathogenesis

B cells play a pivotal role in the pathogenesis of autoimmune diseases. Although previous studies have shown many genetic polymorphisms associated with B-cell activation in patients with various autoimmune disorders, progress in epigenetic research has revealed new mechanisms leading to B-cell hyperactivation. Epigenetic mechanisms, including those involving histone modifications, DNA methylation, and noncoding RNAs, regulate B-cell responses, and their dysregulation can contribute to the pathogenesis of autoimmune diseases. Patients with autoimmune diseases show epigenetic alterations that lead to the initiation and perpetuation of autoimmune inflammation. Moreover, many clinical and animal model studies have shown the promising potential of epigenetic therapies for patients. In this review, we present an up-to-date overview of epigenetic mechanisms with a focus on their roles in regulating functional B-cell subsets. Furthermore, we discuss epigenetic dysregulation in B cells and highlight its contribution to the development of autoimmune diseases. Based on clinical and preclinical evidence, we discuss novel epigenetic biomarkers and therapies for patients with autoimmune disorders.