PSMA1

Oral squamous cell carcinoma (OSCC) is a globally prevalent cancer with significant mortality rates. OSCC a predominant subtype of head and neck squamous cell carcinoma (HNSCC), poses a substantial health burden. Despite advancements in diagnosis and therapy, OSCC prognosis remains poor. The 26S proteasome, a cellular protein degradation complex, is associated with cancer, including PSMA1, a proteasomal subunit, which is upregulated in various cancers. We analyzed PSMA1 expression using TCGA data, validated it in OSCC samples using real-time PCR, and explored its role through various databases. Tumor and adjacent normal tissues from OSCC patients were examined, and PSMA1 expression was analyzed. Survival analysis assessed the impact of PSMA1 on patient outcomes, while immune infiltration was examined using the TIMER database. GeneMANIA, STRING, and Metascape were utilized for gene interaction and pathway analysis. PSMA1 was significantly upregulated in OSCC and HNSCC. Its overexpression correlated with advanced clinicopathological features and poorer prognosis in HNSCC patients. PSMA1 expression is also related to immune cell infiltration. Gene interaction analysis revealed PSMA1 involvement in proteolysis regulation, suggesting its potential as a therapeutic target. PSMA1 upregulation in HNSCC association with adverse clinicopathological features and prognosis underscores its potential significance. Further research is warranted to elucidate its molecular mechanisms and therapeutic potential in OSCC management.

To compare the effectiveness of longstanding (>52 weeks), supervised exercise therapy with usual care in adults with rheumatoid arthritis (RA) and severe functional limitations.

Participants were randomised 1:1 to the intervention (individualised goal-setting, active exercises, education and self-management regarding physical activity) or usual care. Primary endpoint was the change in the Patient-Specific Complaints activity ranked 1 (PSC1, 0-10) at 52 weeks. Secondary endpoints included the PSC activities ranked 2 and 3 (PSC2, PSC3), Health Assessment Questionnaire-Disability Index (HAQ-DI), Rheumatoid Arthritis Quality of Life Questionnaire (RAQoL), 6-minute walk test (6MWT), Patient Reported Outcome Measurement Information System Physical Function-10 (PROMIS PF-10) and the Short Form-36 Physical and Mental Component Summary Scales (SF-36 PCS and MCS). (Serious) Adverse events (AEs) were recorded. Measurements were done by blinded assessors. Analyses at 52 weeks were based on the intention-to-treat principle.

In total, 217 people (90% female, age 58.8 (SD 12.9) years) were randomised (n=104 intervention, n=98 usual care available for analyses). At 52 weeks, the improvement of the PSC1 was significantly larger in the intervention group (mean difference (95% CI) -1.7 (-2.4, -1.0)). Except for the SF-36 MCS, all secondary outcomes showed significantly greater improvements favouring the intervention (PSC2 -1.8 (-2.4, -1.1), PSC3 -1.7 (-2.4, -1.0), PROMIS PF-10 +3.09 (1.80, 4.38), HAQ-DI -0.17 (-0.29, -0.06), RAQoL -2.03 (-3.39, -0.69), SF-36 PCS +3.83 (1.49, 6.17) and 6MWT +56 (38, 75) m). One mild, transient AE occurred in the intervention group.

Longstanding, supervised exercise therapy was more effective than usual care in people with RA and severe functional limitations.

Netherlands Trial Register (NL8235), included in the International Clinical Trial Registry Platform (https://trialsearch.who.int/Trial2.aspx?TrialID=NL8235).

Objective: To extract the differentially expressed key genes of primary biliary cholangitis (PBC) using bioinformatics methods, so as to provide information for further study into the mechanism. Methods: The GSE119600 dataset was downloaded from the GEO database to obtain differentially expressed genes. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed for differentially expressed genes. Protein-protein interaction (PPI) network reconstruction, Cytoscape software visualization, and core gene screening were performed. The area under the receiver operating characteristic curve (ROC AUC) was used to assess the diagnostic effectiveness of genes and plot the pROC software package. The x-Cell software was used to calculate the enrichment score of 34 immune cells in each sample. Finally, four key genes (PSMA4, PSMA1, PSMB1, and PSMA3) were selected. Blood samples were analyzed using the qPCR method. Results:: A total of 373 immune-related differentially expressed genes were identified. Eight genes (PSMC6, PSMB2, PSMB1, PSMA3, PSMA4, PSMA1, PSMD7, and PSMB5) were screened from the 178 nodes and 596 edges as hub genes of the PPI network, which were significantly related to amino acid metabolism, hematopoietic stem cell differentiation, cell cycle, and immune processes. PSMA4, PSMA1, PSMB1, and PSMA3 were defined as immunological biomarkers for PBC with an AUC value of the ROC curve > 0.7. Immunoinfiltrating cell analysis showed that the proportion of eosinophils was significantly higher in PBC patients compared to the control group, whereas the proportion of CD4+ memory T cells, plasma cells, Th2 cells, and cDC cells was significantly lower in PBC patients than the control group. Plasma cells were associated with all four immunological biomarkers. Seven PBC patients and seven healthy subjects were selected for peripheral blood qPCR validation, which demonstrates that PSMB1, PSMA3, PSMA1, and PSMA4 levels were significantly lower in PBC patients than healthy subjects, with a statistically significant difference. Conclusion:: Bioinformatics screened eight key genes, of which four were key immunological markers and may serve as a basis for clinical diagnosis and mechanism exploration.