Exosomal non-coding RNAs' role in immune regulation and potential therapeutic applications.

Exosomes are now significant players in both healthy and unhealthy cell-to-cell communication. Exosomes can mediate immune activation or immunosuppression, which can influence the growth of tumors. Exosomes affect the immune responses to malignancies in various ways by interacting with tumor cells and the environment around them. Exosomes made by immune cells can control the growth, metastasis, and even chemosensitivity of tumor cells. In contrast, exosomes produced by cancer cells can encourage immune responses that support the tumor. Exosomes carry circular RNAs, long non-coding RNAs, and microRNAs (miRNAs), all involved in cell-to-cell communication. In this review, we focus on the most recent findings concerning the role of exosomal miRNAs, lncRNAs, and circRNAs in immune modulation and the potential therapeutic implications of these discoveries.

Characterizing the oncogenic importance and exploring gene-immune cells correlation of ACTB in human cancers.

After cardiovascular diseases, cancer is the second deadliest malignancy in the world. The current study was launched to investigate the diagnostic and prognostic landscape of Beta-actin (ACTB) via a multi-layered bioinformatics approach. ACTB expression was analyzed and validated via UALCAN, TIMER, GENT2, GEPIA, and HPA. ACTB promoter methylation was evaluated via MREXPRES. Furthermore, ACTB prognostic values and their correlation with cancer metastasis were explored through the KM plotter and TNMplot, respectively. Then, cBioPortal, CancerSEA, Enrichr, TIMER, MuTarget, and CDT were used to analyze ACTB-related genetic alterations, transcription factors (TFS), MicroRNAs (miRNAs), chemotherapeutic drugs, and the correlation between its expression, immune cells, and different other parameters. We found that ACTB expression was remarkably higher in 24 major human cancer tissues than the normal samples. Additionally, elevated ACTB expression was associated with poorer survival and metastasis in only liver hepatocellular carcinoma (LIHC), head and neck squamous cancer (HNSC), and lung adenocarcinoma (LUAD). This implies that ACTB plays a significant role in the development and progression of LIHC, HNSC, and LUAD. Furthermore, enrichment analysis showed that ACTB-associated genes regulate different Biological Processes (BP), Molecular Functions (MF), and Kyoto Encyclopedia of Genes and Genomes (KEGG) terms. Moreover, ACTB up-regulation had interesting correlations with immune infiltration of CD4+ T, and CD8+ T, tumor purity, mutant genes, and a few other important parameters. At last, via this study, we also explored ACTB-associated clinically important expression regulators, including TFS, miRNAs, and different chemotherapeutic drugs. The results of the present study suggested that ACTB might be a potential candidate biomarker in LIHC, HNSC, and LUAD.

Estimation of hub genes and exploration of multi-omics level alterations in the landscape of lung adenocarcinoma.

OBJECTIVES: Lung adenocarcinoma (LUAD) is recognized as one of the most prevalent and deadliest malignancies around the globe. The molecular mechanisms behind LUAD have not been fully elucidated. This study was launched to explore LUAD-associated hub genes and their enriched pathways using bioinformatics methods. METHODS: Information on GSE10072 was retrieved from the Gene Expression Omnibus (GEO) database and analyzed via the Limma package-based GEO2R tool to obtain the top 100 differentially expressed genes (DEGs) in LUAD. The protein-protein interaction (PPI) network of the DEGs was drawn using the STRING website and was shifted into Cytoscape to screen the top 6 hub genes via the CytoHubba application. Furthermore, the expression analysis and validation of hub genes in LUAD samples and cell lines were done using UALCAN, OncoDB, and GENT2 databases. Moreover, OncoDB was also used for analyzing hub gene DNA methylation levels. In addition, cBioPortal, GSEA tool, Kaplan-Meier (KM) plotter, Enrichr, CancerSEA, and DGIdb were performed to explore some other important aspects of hub genes in LUAD. RESULTS: We identified Interleukin 6 (IL6), Collagen, type I, alpha 1 (COL1A1), TIMP metallopeptidase inhibitor 1 (TIMP1), CD34 molecule (CD34), Decorin (DCN), and Secreted Phosphoprotein 1 (SPP1) genes as the hub genes in LUAD, out of which IL6, CD34, and DCN were significantly down-regulated while COL1A1, TIMP1, and SPP1 were significantly up-regulated in LUAD cell lines and samples of diverse clinical variables. In this study, we also documented some important correlations between hub genes and other parameters such as DNA methylation, genetic alterations, Overall Survival (OS), and 14 important states at the single cell level. Lastly, we also identified hub genes associated with the ceRNA network and 11 important chemotherapeutic drugs. CONCLUSION: We identified 6 hub genes involved in the development and progression of LUAD. These hub genes can also be helpful in the accurate detection of LUAD and provide novel ideas for treatment.

A Mendelian Randomization Analysis Investigates Causal Associations between Inflammatory Bowel Diseases and Variable Risk Factors.

The question of whether variable risk factors and various nutrients are causally related to inflammatory bowel diseases (IBDs) has remained unanswered so far. Thus, this study investigated whether genetically predicted risk factors and nutrients play a function in the occurrence of inflammatory bowel diseases, including ulcerative colitis (UC), non-infective colitis (NIC), and Crohn's disease (CD), using Mendelian randomization (MR) analysis. Utilizing the data of genome-wide association studies (GWASs) with 37 exposure factors, we ran Mendelian randomization analyses based on up to 458,109 participants. Univariable and multivariable MR analyses were conducted to determine causal risk factors for IBD diseases. Genetic predisposition to smoking and appendectomy as well as vegetable and fruit intake, breastfeeding, n-3 PUFAs, n-6 PUFAs, vitamin D, total cholesterol, whole-body fat mass, and physical activity were related to the risk of UC (p < 0.05). The effect of lifestyle behaviors on UC was attenuated after correcting for appendectomy. Genetically driven smoking, alcohol consumption, appendectomy, tonsillectomy, blood calcium, tea intake, autoimmune diseases, type 2 diabetes, cesarean delivery, vitamin D deficiency, and antibiotic exposure increased the risk of CD (p < 0.05), while vegetable and fruit intake, breastfeeding, physical activity, blood zinc, and n-3 PUFAs decreased the risk of CD (p < 0.05). Appendectomy, antibiotics, physical activity, blood zinc, n-3 PUFAs, and vegetable fruit intake remained significant predictors in multivariable MR (p < 0.05). Besides smoking, breastfeeding, alcoholic drinks, vegetable and fruit intake, vitamin D, appendectomy, and n-3 PUFAs were associated with NIC (p < 0.05). Smoking, alcoholic drinks, vegetable and fruit intake, vitamin D, appendectomy, and n-3 PUFAs remained significant predictors in multivariable MR (p < 0.05). Our results provide new and comprehensive evidence demonstrating that there are approving causal effects of various risk factors on IBDs. These findings also supply some suggestions for the treatment and prevention of these diseases.