Objective To evaluate the feasibility,safety and efficacy of tubeless percutaneous nephrolithotomy ( PCNL).Methods Patients who underwent PCNL were randomized into 2 groups by extracting a random number generated from random number table,tubeless PCNL group and traditional PCNL group when the stones were cleared.Each patient in tubeless PCNL group was treated with insertion of a F5 ureteral double pigtail stent without placement of nephrostomy tube,while both double pigtail stent and F16 nephrostomy tube were placed in patients in traditional PCNL group.Exclusion criteria were severe bleeding requiring blood transfusion,stone residual requring a second PCNL,severe hydronephrosis with the thickness of renal parenchyma less than 5 mm,pyonephrosis,stricture of ureter or ureteropelvic junction,and severe perforation of the collecting system.A total of 50 patients were enrolled in this study.Tubeless PCNL and traditional PNCL were performed in 25 patients,including 27 kidney units,respectively.The two groups had comparable demographic data.All the operations were performed by the same surgeon.Evaluation factors included postoperative pain,decreased hemoglobin,blood transfusion rate,incidence of fever and perirenal hematoma,and duration of hospitalization.Results The average visual analogue scale (VAS) score on postoperative day 1 in tubeless PCNL group was 2.24 compared with 5.04 in traditional PCNL group (P ＜ 0.01 ).The average hospital stay in tubeless PC NL group (3.04 d) was significantly shorter than that in traditioal PCNL group (6.88 d) (P ＜0.01 ).The differences in average hemoglobin drop and stone clearance in the 2 groups were not significant.The differences between the 2 groups in blood transfusion ( 1/25 in tubeless PCNL group vs 3/25 in traditional PCNL group,P ＞0.05),renal hematomas rate (6/27 in tubeless PCNL group vs 7/27 in traditional PCNL group,P ＞ 0.05) and fever rate (3/25 in tubeless PCNL group vs 4/25 in traditional PCNL group,P ＞0.05 ) were not significant.There was no incidence of urinary leakage from the nephrostomy site in the 2 groups.Conclusions Tubeless PCNL can significantly decrease postoperative pain and discomfort and shorten the duration of hospitalization without increase of complications.Tubeless PCNL is safe,effective and performable,but the contraindications such as massive haemorrhage,pyonephrosis,ureteral obstruction,severe perforation of the collecting system,residual stone requring a second PCNL,should be kept in mind.

Objective: To construct and validate a prognosis model related to ferroptosis in urinary tract tumors using bioinformatics methods. Methods: RNA-seq and clinical data from TCGA′s BLCA and KIRC datasets were analyzed to establish the prognostic model, and then were validated using ICGC and GEO data. Prognostic genes associated with ferroptosis were identified through univariate Cox, LASSO-Cox, and multivariate Cox regression analyses. Co-expression and protein-protein interaction(PPI) network analyses determined the relationships among these genes. Immune infiltration analysis explored the association between ferroptosis-related prognostic genes and the immune microenvironment. Functional enrichment analysis of differentially expressed genes between high and low-risk groups in BLCA and KIRC prognostic models was conducted to investigate potential mechanisms by which ferroptosis-related genes regulate BLCA and KIRC prognosis. Results: Significant prognostic gene signatures associated with ferroptosis were identified in BLCA and KIRC. For BLCA, the genes EGR1, ZEB1, P4HB, WWTR1, JUN, CDO1,SCD,SREBF1,CAV1, and GALNT14 were significant. For KIRC, the genes ASMTL-AS1, CHAC1,MT1G, RRM2, TIMP1, DPEP1, GLRX5, and NDRG1 were significant. Ferroptosis-related miRNAs linked to the prognosis of both cancers were also identified. The constructed risk models based on these genes and miRNAs predicted patient prognosis in TCGA-BLCA and KIRC, with low-risk groups showing significantly higher overall survival(P<0.05). The hazard ratios for these models ranged from 2.54(95%CI: 1.73-3.74) to 4.74(95%CI: 3.47-6.47), with AUC values above 0.60. Co-expression analysis and PPI networks revealed high correlation levels between JUN and EGR1 in BLAC and between SCD and SREBF1. Immune infiltration analysis indicated positive correlations between EGR1, CAV1, JUN, and immune scores, while SREBF1 showed a negative correlation. Conclusion The prognosis model based on ferroptosis-related genes effectively predicts patient outcomes in BLCA and KIRC. This model can serve as a reference for targeting ferroptosis to assess the prognosis of BLCA and KIRC patients.