Purpose: The extracellular matrix in the tumor microenvironment are closely related to the development of tumors. This study’s primary aim is to study the association between prolyl 3-hydroxylase 1 (P3H1) which mainly expresses collagen in extracellular matrix and the progression and prognosis of bladder cancer (BC). Methods: The clinical and transcriptome data were acquired from the cancer genome atlas database. BLCAsubtyping is used to evaluate tissue subtypes of BC. The COX proportional hazards can be used to evaluate the survival process’s influencing factors. Immunohistochemistry was used to identify differences in the expression of P3H1 in cancer and paired adjacent tissues. GSEA was used to investigate the underlying biological processes. Finally, ssGSEA, TIMER and pRRophetic were used to study the relationship between P3H1 and immune cell infiltration and drug sensitivity. Results: The expression of P3H1 was substantially higher in highly invasive BC samples than in low invasive BC. P3H1 was an independent predictor of overall survival (HR = 1.12, p = 0.03). P3H1 expression was significantly higher in tumor tissues than adjacent normal tissues in clinical tissue samples, and was significantly higher in highly stage cancer than low stage cancer samples. Samples with high P3H1 expression had a higher level of immune cell infiltration and immune function, as well as a significant correlation with macrophage and dendritic cell infiltration and TGF-beta, Th1 cells, and macrophage regulation (cor > 0.3, p < 0.05). P3H1 high expression samples were substantially more sensitive to docetaxel, cisplatin, vinblastine, camptothecin, paclitaxel, and other medicines than P3H1 low expression samples. Discussion: P3H1 is a possible oncogene and an independent predictor of poor prognosis in BC; it also has enhanced sensitivity to docetaxel, cisplatin, vinblastine, camptothecin, paclitaxel, and other medications.

Introduction: We conducted a systematic review and meta-analysis to assess the available literature regarding the postoperative effects of anti-reflux anastomosis and direct anastomosis in orthotopic ileal neobladder (ONB). Methods: We searched PubMed, Embase, and the Cochrane Library in October 2021. We included 11 studies of patients with bladder cancer who underwent radical cystectomy and ONB as urinary diversion. Outcomes evaluated in this review were ureteroenteric anastomotic stricture (UEAS), vesicoureteral reflux, renal function (RFn) impairment, and pyelonephritis. All data were analyzed using Review Manager 5.4.4 and subgroup analyses were applied. Results: A total of 11 studies were eligible for meta-analysis. The synthetic data suggested that anti-reflux anastomosis and direct anastomosis were comparable in terms of RFn impairment (odds ratio (OR) = 1.69; 95% confidence interval (CI): 0.18–15.6; p = 0.65, I² = 69%) and pyelonephritis (OR = 1.13; 95% CI: 0.65–1.99; p = 0.66, I² = 1%) without significant difference in each group statistically. The pooled study data showed a significantly higher incidence of UEAS (OR = 2.84; 95% CI: 1.75–4.61, p < 0.0001, I² = 50%) and a lower incidence of vesicoureteral reflux (OR = 0.24; 95% CI: 0.10–0.59; p = 0.002, I² = 75%) in anti-reflux anastomosis compared to direct anastomosis. In subgroup analysis, anti-reflux anastomosis was more likely to result in UEAS than direct anastomosis, especially when ureteral stent was removed within 14 days. Conclusion: Although meta-analysis showed that overall incidence of vesicoureteral reflux was higher with direct anastomosis than anti-reflux anastomosis, the rate of vesicoureteral reflux was not directly related to impairment of RFn. The anti-reflux mechanism of ONB was positively associated with a higher incidence of significant UEAS compared to the direct approach, which can lead to kidney damage and an increased risk of secondary surgical procedures.

Corona virus disease 2019 (COVID-19) is prone to induce multiple organ damage. The kidney is one of the target organs of SARS-CoV-2, which is susceptible to inducing acute kidney injury (AKI). Huanglian Jiedu Decoction (HLJDD) is one of the recommended prescriptions for COVID-19 with severe complications. We used network pharmacology and molecular docking to explore the therapeutic and protective effects of HLJDD on COVID-19-associated AKI. Potential targets related to “HLJDD,” “COVID-19,” and “Acute Kidney Injury/Acute Renal Failure” were identified from several databases. A protein–protein interaction (PPI) network was constructed and screened the core targets according to the degree value. The target genes were then enriched using gene ontology and Kyoto Encyclopedia of Genes and Genomes. The bioactive components were docked with the core targets. A total of 65 active compounds, 85 common targets for diseases and drugs were obtained; PPI network analysis showed that the core protein mainly involved JUN, RELA, and AKT1; functional analysis showed that these target genes were mainly involved in lipid and atherosclerosis signaling pathway and IL-17 signal pathway. The results of molecular docking showed that JUN, RELA, and AKT1 had good binding activity with the effective chemical components of HLJDD. In conclusion, HLJDD can be used as a potential therapeutic drug for COVID-19-associated AKI.

The purpose of this study was to construct a 3D and 2D contrast-enhanced computed tomography (CECT) radiomics model to predict CGB3 levels and assess its prognostic abilities in bladder cancer (Bca) patients. Transcriptome data and CECT images of Bca patients were downloaded from The Cancer Imaging Archive (TCIA) and The Cancer Genome Atlas (TCGA) database. Clinical data of 43 cases from TCGA and TCIA were used for radiomics model evaluation. The Volume of interest (VOI) (3D) and region of interest (ROI) (2D) radiomics features were extracted. For the construction of predicting radiomics models, least absolute shrinkage and selection operator regression were used, and the filtered radiomics features were fitted using the logistic regression algorithm (LR). The model's effectiveness was measured using 10-fold cross-validation and the area under the receiver operating characteristic curve (AUC of ROC). CGB3 was a differential expressed prognosis-related gene and involved in the immune response process of plasma cells and T cell gamma delta. The high levels of CGB3 are a risk element for overall survival (OS). The AUCs of VOI and ROI radiomics models in the training set were 0.841 and 0.776, while in the validation set were 0.815 and 0.754, respectively. The Delong test revealed that the AUCs of the two models were not statistically different, and both models had good predictive performance. The CGB3 expression level is an important prognosis factor for Bca patients. Both 3D and 2D CECT radiomics are effective in predicting CGB3 expression levels.