Investigating the Causal Link between Rheumatoid Arthritis and Atrial Fibrillation in East Asian Populations: A Mendelian Randomization Approach.

Background: Rheumatoid arthritis (RA) has been associated with atrial fibrillation (AF) in observational studies, yet the causal relationship remains elusive. In this study, we employed Mendelian randomization (MR) to investigate the impact of RA on AF risk specifically in East Asian populations.

Methods: Utilizing genome-wide association study (GWAS) data on RA ( = 212,453) and AF ( = 36,792), we applied the following five MR methods: inverse variance weighted (IVW), MR-RAPS, maximum likelihood, weighted median (WM), and Bayesian weighted Mendelian randomization (BWMR).

PLAGL2 Promotes the Proliferation and Migration of Diffuse Large B-cell Lymphoma Cells via Wnt/β-catenin Pathway.

Objective: Pleomorphic adenoma gene like-2 (PLAGL2) belongs to PLAG protein family and functions as a zinc finger transcriptional factor to participate in the cellular processes, including cell transformation, migration, and apoptosis. Increasing evidence has shown the oncogenic role of PLAGL2 in various cancers, while the potential molecular mechanism and biology roles of PLAGL2 in diffuse large B-cell lymphoma (DLBCL) are still unclear.

Methods: Expression of PLAGL2 was found to be elevated in DLBCL cells.

miR-126 regulates the proliferation, migration, invasion, and apoptosis of non-small lung cancer cells via AKT2/HK2 axis.

This study tended to clarify the role of miR-126 in non-small cell lung cancer (NSCLC) cell biological behaviors in vitro, containing cell proliferation, migration, invasion, and apoptosis. miRNA expression microarray related to NSCLC was accessed from gene expression omnibus (GEO) database and subjected to differential analysis using the "limma" package. Real-time quantitative PCR was conducted to assess the expression of miR-126 in NSCLC cell lines.

to Evaluate the Tumor Immune Microenvironment and Clinical Prognosis in Glioma.

Background: Previous research indicated that the tumor cells and microenvironment interactions are critical for the immunotherapeutic response. However, predicting the clinical response to immunotherapy remains a dilemma for clinicians. Hence, this study aimed to investigate the associations between expression and prognosis and tumor-infiltrating immune cells in glioma.

Upregulation of hsa-miR-196a-5p is associated with MIR196A2 methylation and affects the malignant biological behaviors of glioma.

Hsa-miR-196a-5p is involved in tumorigenesis and progression. However, the driving factors for hsa-miR-196a-5p overexpression and its correlation with the clinicopathological features and prognosis of patients remain unclear in glioma. Thus, this study aimed to investigate the prognostic value of hsa-miR-196a-5p and its correlation with MIR196A2 methylation in glioma.

N6-methyladenine-related genes affect biological behavior and the prognosis of glioma.

Background: Although aberrant expression of N6-methyladenine (m A) methylation-related genes contribute to tumorigenesis in many solid tumors, the prognostic value of the m A-related genes and their correlation with clinicopathological features in gliomas need advanced study.

Methods: The clinical and sequencing data of 288 patients with glioma were extracted from Chinese Glioma Genome Atlas database. By univariate and multivariable Cox regression analysis, the m A-related prognostic genes were identified, and their correlation with clinicopathological features was further analysis.

Screening of autophagy genes as prognostic indicators for glioma patients.

Although autophagy is reported to be involved in tumorigenesis and cancer progression, its correlation with the prognosis of glioma patients remains unclear. Thus, the aim of this study was to identify prognostic autophagy-related genes, analyze their correlation with clinicopathological features of glioma, and further construct a prognostic model for glioma patients. After 139 autophagy-related genes were obtained from the GeneCards database, their expression data in glioma patients were extracted from the Chinese Glioma Genome Atlas database.