Association between the Interleukin-1 Receptor Antagonist (IL1RN) Variable Number of Tandem Repeats (VNTR) Polymorphism and Lymphoma

Association between PAX8AS1 (rs4848320 C > T, rs1110839 G > T, and rs6726151 T > G) and MEG3 (rs7158663) gene polymorphisms and non-Hodgkin lymphoma risk

Long non-coding RNA (lncRNA) PAX8 antisense RNA 1 (PAX8AS1) and Maternal-expressed gene 3 (MEG3) contribute to the pathogenesis of various malignancies including non-Hodgkin lymphoma (NHL). In this study, we aimed to examine the possible association of polymorphisms of PAX8 and MEG3 and the risk NHL. A total of 175 patients and 175 healthy subjects were genotyped by PCR-RFLP and Tetra-Arms PCR assays. Results demonstrated rs4848320 C > T and rs6726151 T > G of PAX8AS1 and rs7158663 of MEG3 play a potential role in the susceptibility of NHL and PAX8AS1 rs1110839 T > G variant was associated with decreased risk of NHL. Haplotype analysis of rs1110839, rs4848320, and rs6726151 demonstrated GCG haplotype is associated with increased risk of lymphoma and TTG, TTT, and GTT haplotypes are related to decreased lymphoma susceptibility.

Hub Gene Screening Associated with Early Glaucoma: An Integrated Bioinformatics Analysis

Background

Primary open-angle glaucoma (POAG) is the most common type of glaucoma. The potential influence of some DEGs on the progression of POAG was still incomplete. In this study, we integrated transcriptome data with clinical data to investigate the relationship between them in POAG patients.

Methods

The gene expression profile (GSE27276) from Gene Expression Omnibus (GEO) was used to identify DEGs. The LIMMA package of R was used to identify the DEGs (Diboun et al., 2006). The adjusted P values (adj P value) were calculated instead to avoid the appearance of false-positive results. Genes with |log₂ fold change (FC)| larger than 1 and adj P value < 0.01 were taken as DEGs between PH and PC samples. GO (Gene Ontology) function and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway enrichment analyses of the DEGs were performed. Protein-protein interactions (PPIs) of the DEGs were constructed.

Results

A total of 182 DEGs were identified through our analysis, of which 119 genes were upregulated and 63 genes were downregulated. GO enrichment analysis illustrated that these DEGs were mostly enriched into haptoglobin binding, antioxidant activity, and organic acid binding. KEGG enrichment analysis illustrated that these DEGs were mostly enriched into Staphylococcus aureus infection. The most significant module was identified by MCODE consists of 8 DEGs, and BCL11A is the seeded gene. The second most significant module consists of 5 DEGs, and IL1RN is the seeded gene.

Conclusion

Our results demonstrate the potential influence of some DEGs on the progression of POAG, providing a comprehensive bioinformatics analysis of the pathogenesis, which may contribute to future investigation into the molecular mechanisms and biomarkers.