Background: Dysbiosis of gut microbiota has been linked to numerous diseases, including cancer. The unique role of gut microbiota in urological tumors is gaining prominence. However, it is still controversial whether the dysbiosis of gut microbiota should be one of the etiological factors of bladder cancer (BCa), prostate cancer (PCa) or kidney cancer (KCa). Materials and methods: The microbiome genome-wide association study (GWAS) from the MiBioGen consortium (18,340 samples of 24 population-based cohorts) was utilized as the exposure data. Additionally, outcomes data (951 BCa cases and 307,092 controls; 1,631 KCa cases and 238,678 controls; 79,148 PCa cases and 61,106 controls) were extracted from the GWAS of the FinnGen and PRACTICAL consortia. To detect the potential causative bacterial traits for BCa, PCa, and KCa, a two-sample Mendelian randomization (MR) analysis was performed, employing the inverse-variance weighted or Wald ratio method. Sensitivity analyses were subsequently conducted to explore the robustness of the primary results. Finally, the reverse MR analysis was undertaken to mitigate the reverse causation. Results: This study suggested that Bifidobacterium (p = 0.030), Actinobacteria (p = 0.037 for phylum, 0.041 for class), and Ruminococcustorques group (p = 0.018), exhibited an association with an increased risk of BCa using either the inverse-variance weighted or Wald ratio method. By utilizing the Wald ratio method, Allisonella (p = 0.004, p = 0.038) was associated with a decreased risk of BCa and PCa, respectively. Furthermore, Ruminococcustorques group (p = 0.028) and Erysipelatoclostridium (p = 0.048) were causally linked to an elevated risk of KCa. Conclusions: This MR study supports that genetically predicted gut microbiota is causally related to BCa, PCa and KCa. Additionally, distinct bacterial traits are identified in relation to each tumor type.

Background: The prognosis of esophageal cancer is still dismal because of its high probability of metastasis that is likely related to the cellular process of epithelial–mesenchymal transition (EMT). Recent studies have shown a novel role of X-linked inhibitor of apoptosis protein (XIAP) in regulating the migration process of cancer cells and, therefore, linking to progression and poor prognosis of cancer. Methods: The expression of XIAP in esophageal squamous cell cancer (ESCC) tissues was determined by immunohistochemistry assay. Cell migration was analyzed by wound healing assay and Transwell assay. The expression of EMT markers (E-cadherin, N-cadherin and Vimentin) was revealed by immunofluorescence assay. Quantitative real‑time PCR analysis and Western blot analysis were used to detect the expression of XIAP and EMT markers as well as transforming growth factor-β (TGF-β) at mRNA and protein level, respectively. Results: We found that the expression of XIAP closely correlated to the probability of lymphatic metastasis in patients and that ESCC patients with the high XIAP expression were associated with worse overall survival (OS). Univariate and multivariate analysis also revealed XIAP as an independent prognostic factor for overall survival in ESCC patients. In both EC9706 and TE13 cell lines, knockdown of XIAP decreased the migration of cancer cells by inhibiting EMT process through regulating the TGF-β signaling pathway, pinpointing a regulatory role of XIAP in migratory process upon TGF-β activation. Conclusions: Taken together, our results suggest XIAP as a important prognostic and regulative factor in ESCC patients. XIAP may promote migration of esophageal cancer cells through the activation of TGF-β mediated EMT.

Background: Early assessment and management of cerebral edema and hematoma following aneurysmal subarachnoid hemorrhage (a-SAH) can significantly impact clinical cognitive outcomes. However, current clinical practices lack predictive models to identify early structural brain abnormalities affecting cognition. To address this gap, the authors propose the development of a predictive model termed the a-SAH Early Brain Edema/Hematoma Compression Neural (Structural Brain) Networks Score System (SEBE-HCNNSS). Methods: In this study, 202 consecutive patients with spontaneous a-SAH underwent initial computed tomography (CT) or MRI scans within 24 h of ictus with follow-up 2 months after discharge. Using logistic regression analysis (univariate and multivariate), the authors evaluated the association of clinically relevant factors and various traditional scale ratings with cognitive impairment (CI). Risk factors with the highest area under the curve (AUC) values were included in the multivariate analysis and least absolute shrinkage and selection operator (LASSO) analysis or Cox regression analysis. Results: A total of 177 patients were enrolled in the study, and 43 patients were classified with a high SEBE-HCNNSS grade (3–5). After a mean follow-up of 2 months, 121 individuals (68.36%) with a-SAH and three control subjects developed incident CI. The CT interobserver reliability of the SEBE-HCNNSS scale was high, with a Kappa value of 1. Furthermore, ROC analysis identified the SEBE-HCNNSS scale (OR 3.322, 95% CI: 2.312–7.237, P=0.00025) as an independent predictor of edema, CI, and unfavorable prognosis. These results were also replicated in a validation cohort. Conclusion: Overall, the SEBE-HCNNSS scale represents a simple assessment tool with promising predictive value for CI and clinical outcomes post-a-SAH. Our findings indicate its practical utility as a prognostic instrument for risk evaluation after a-SAH, potentially facilitating early intervention and treatment.

Background: Accurate preoperative positioning is the key to the success of thoracoscopic surgery for small pulmonary nodules. There are many methods for locating pulmonary nodules in clinical practice, but there are currently few research reports on the value of medical adhesive localization.Objective: To compare the clinical value of two positioning methods, medical adhesive and metal spring coil, in the preoperative application of VATS through retrospective analysis.Methods: A total of 288 patients who underwent thoracoscopic surgery in our hospital from January 2021 to June 2024 due to the discovery of solitary pulmonary nodules during chest CT examination were included in this study. Preoperative patients were randomly divided into two groups, with 205 patients undergoing preoperative medical adhesive positioning (Group A) and 83 patients undergoing metal spring coil positioning (Group B). After the positioning was completed, record the positioning time of each group of patients and the immediate pain score 15 min after the positioning was completed, the complications located in each group of patients, and whether there was positioning failure or not.Results: The localization success rate of the medicine adhesive positioning group [99.5% (204/205)] was higher than that of the metal spring coil positioning group [91.6% (76/83)] (P = 0.001). The positioning time of the medical adhesive positioning group was 12.00 (10.00, 14.00) min, which was shorter than the 13.00 (11.00, 16.00) min of the micro coil group (P = 0.001). The immediate pain score (2.32 ± 0.79) of the medical adhesive positioning group 15 min after positioning was significantly lower than that of the metal spring coil positioning group (3.97 ± 0.54) (P < 0.001). The incidence of complications such as pneumothorax [15.7% (13/83) vs 5.4% (11/205), P = 0.004], pulmonary hemorrhage/hemoptysis [20.5% (17/83) vs 4.9 (10/205), P < 0.001] was significantly higher in the metal coil positioning group than in the medical adhesive positioning group.Conclusion: Preoperative medical adhesive positioning for pulmonary nodules is safe, reliable, and effective. Compared with metal spring coil positioning, it has shorter positioning time, milder pain after positioning, lower incidence of positioning related complications, and more flexible arrangement of surgical timing after positioning. It has high clinical application value.

Background Early assessment and management of cerebral edema and hematoma following aneurysmal subarachnoid hemorrhage (a-SAH) can significantly impact clinical cognitive outcomes. However, current clinical practices lack predictive models to identify early structural brain abnormalities affecting cognition. To address this gap, we propose the development of a predictive model termed the a-SAH Early Brain Edema/Hematoma Compression Neural (Structural Brain) Networks Score System (SEBE-HCNNSS). Methods In this study, 202 consecutive patients with spontaneous a-SAH underwent initial computed tomography (CT) or magnetic resonance imaging (MRI) scans within 24 hours of ictus with follow-up 2 months after discharge. Using logistic regression analysis (univariate and multivariate), we evaluated clinically relevant factors and various traditional scale ratings for cognitive impairment (CI). Risk factors with the highest area under the curve (AUC) values were included in the multivariate analysis and least absolute shrinkage and selection operator (LASSO) analysis or Cox regression analysis. Results A total of 177 patients were enrolled in the study, and 43 patients were classified with a high SEBE-HCNNSS grade (3 to 5). After a mean follow-up of 2 months, 121 individuals (68.36%) with a-SAH and 3 control subjects developed incident CI. The CT inter-observer reliability of the SEBE-HCNNSS scale was high, with a Kappa value of 1. Furthermore, ROC analysis identified the SEBE-HCNNSS scale (OR 3.322, 95% CI 2.312-7.237, p = 0.00025) as an independent predictor of edema, CI, and unfavorable prognosis. These results were also replicated in a validation cohort. Conclusion Overall, the SEBE-HCNNSS scale represents a simple assessment tool with promising predictive value for CI and clinical outcomes post-a-SAH. Our findings indicate its practical utility as a prognostic instrument for risk evaluation after a-SAH, potentially facilitating early intervention and treatment.

Objective: This study aimed to evaluate the clinical and radiographic outcomes of Video-Assisted Thoracoscopic Surgery (VATS) for early-stage empyema, emphasizing the restoration of lung volume as a crucial indicator of treatment success. Methods: A retrospective analysis was conducted on patients with early-stage empyema who underwent VATS between January 2020 and June 2025. Data regarding inflammatory markers, coagulation parameters, and clinical recovery were systematically collected. A key radiographic outcome, specifically the affected lung volume, was quantitatively assessed using CT volumetry both preoperatively and postoperatively to objectively evaluate lung re-expansion. Results: Thirty patients were included in the study. VATS resulted in significant reductions in postoperative inflammatory markers including WBC, NEUT%, CRP, IL-6, D-dimer (p < 0.05). CT-based lung volume increased significantly from 1278.81 cm³ (IQR 1021.9–1677.56) preoperatively to 1587.81 cm³ (IQR 1320.51–1978.91) at 3 months postoperatively, representing a median absolute increase of 309.0 cm³ (+24.2%, p = 0.002). The mean duration of chest tube drainage was 7.47 ± 3.96 days, and the mean length of hospital stay was 19.70 ± 8.35 days. The 30-day readmission rate was 23.33%. Conclusion: VATS is a highly effective intervention for early-stage empyema, resulting in significant resolution of systemic inflammation and, importantly, a substantial increase in lung volume. The restoration of lung volume substantiates the procedural efficacy of VATS in facilitating mechanical lung liberation and promoting functional recovery, thereby highlighting its essential role in the management of this condition.