Exploring the association between COVID-19 and male genital cancer risk in European population: evidence from mendelian randomization analysis.

BACKGROUND: Recently accumulated evidence indicates a potential association between COVID-19 and elevated susceptibility to cancer, including male genital cancer. However, the causal nature of this relationship remains unclear. METHODS: In this Mendelian randomization (MR) study, we investigated the potential causal relationship between COVID-19 and male genital cancer using genetic variants as instrumental variables. We utilized summary statistics from two large-scale genome-wide association studies of COVID-19 hospitalized Vs. controls, as well as data from a population-based male genital cancer database based on European ancestry. We applied stringent quality control measures to select instrumental variables, including checking for linkage disequilibrium, removing low-quality variants, and assessing the strength of the instruments using the F-statistic. We conducted the MR  analysis using the inverse-variance weighted method and several sensitivity analyses (including MR Egger and Weighted Median MR analysis) to test the robustness of our results. RESULTS: Our MR analysis revealed no causal associations between COVID-19 hospitalization and the incidence of male genital cancer. In the inverse-variance weighted analysis, no causal associations were observed between patients with COVID-19 hospitalization and the incidence of male genital cancer (odds ratio = 1.000 and 95% confidence interval = 0.998-1.001, p = 0.668). The estimated causal effect was consistent across all sensitivity analyses (including the Weighted Median, the MR Egger analysis, and the MR PROSSO analysis). The leave-one-out analysis showed that there was no any sing Single-nucleotide polymorphism significantly influencing our results. CONCLUSIONS: Our study provides evidence that there is no causal association between COVID-19 hospitalization and male genital cancer.

Diagnostic value of alpha-fetoprotein-L3 and Golgi protein 73 in hepatocellular carcinomas with low AFP levels.

This study aimed to investigate the clinical values of serum alpha-fetoprotein-L3 (AFP-L3) and Golgi protein 73 (GP73) in the diagnosis of hepatocellular carcinoma (HCC) with low alpha-fetoprotein (AFP). From January 2011 to December 2013, 50 low-AFP HCC patients confirmed by the color Doppler flow imaging (CDFI) and pathological examinations were collected. Forty-five patients with chronic liver diseases were also selected, including 29 liver cirrhosis patients, 15 chronic hepatitis B patients, and one severe hepatitis patient. Furthermore, 100 health volunteers with no evidence of benign or malignant liver diseases were included. The enzyme-linked immunosorbent assay (ELISA) method was applied to the GP73 quantitative assay. Serum AFP concentrations were determined using immunoassays utilizing enhanced chemiluminescence. Diagnostic accuracy of GP73 and AFP-L3 assays for low-AFP HCC was evaluated using receiver operating characteristic (ROC) curve analysis. Statistical analyses were conducted with the GraphPad Prism 5.0 software. Low-AFP HCC patients (35/50) exhibited higher positive rates of AFP-L3 than non-HCC patients (5/45) and healthy controls (2/100) (both P < 0.05). There were also significant differences in the positive rate of GP73 of low-AFP HCC patients (40/50) compared to those of non-HCC patients (3/45) and healthy controls (1/100) (both P < 0.05). However, no obvious differences in the positive rates of AFP-L3 and GP73 were observed between non-HCC patients and healthy controls (both P > 0.05). ROC curves showed that the area under the curve (AUC) of AFP-L3 for the diagnosis of low-AFP HCC was 0.6994 (sensitivity [Sen] = 70.0 %, specificity [Spe] = 95.2 %, accuracy = 88.7 %), while the AUC of GP73 was 0.8411 (Sen = 80.0 %, Spe = 97.2 %, accuracy = 92.8 %). Compared with single detection, the combination of AFP-L3 and GP73 levels for the diagnosis of low-AFP HCC showed higher Sen (94.0 %), Spe (93.1 %), and better accuracy (93.3 %). Our findings provide empirical evidence that the combination of AFP-L3 and GP73 is a good diagnostic strategy for low-AFP HCC.

Purification and refolding of human alpha5-subunit (PSMA5) of the 20S proteasome, expressed as inclusion bodies in Escherichia coli.

The 20S proteasome is the central enzyme of nonlysosomal protein degradation in both the cytosol and nucleus. It is composed of 28 protein subunits which are arranged into four staggered heptameric rings. The outer rings consist of alpha-subunits which are responsible for binding of proteasome activators, inhibitors, and regulators. To better characterize human alpha5-subunit (PSMA5) of the 20S proteasome, we have established a high-efficiency Escherichia coli expression system. The DNA-coding sequence for the human PSMA5, which was subcloned into the vector pET-22b (+), has been expressed as inclusion bodies in E. coli BL21 (DE3). To produce the native PSMA5, straightforward protocols have been developed for refolding the human PSMA5 in the presence of surfactants using dilution refolding and size-exclusion chromatography matrix refolding methods. After refolding, recovery yields of about 20% were obtained, respectively, with purity above 95%. The human PSMA5 was detected by dynamic light scattering in refolding process, and the molecular weight of the final refolded product was measured using gel filtration chromatography, which indicates that the human PSMA5 exists mainly as tetramer.