Background: Open radical nephrectomy (ORN) is a practical procedure for treating patients with large renal carcinomas >10 cm in size, and few studies have focused on feasibility and safety of laparoscopic radical nephrectomy (LRN). The current study was to assess the safety and effectiveness of LRN and ORN in large renal carcinoma patients by propensity matched pair analysis. Methods: In this cohort study, a retrospective review of radical nephrectomy data from October 2010 to October 2018 at Changhai Hospital was conducted. Patients with renal carcinomas >10 cm in size by pre-operative images were included. Patients’ demographics including age, gender, body mass index (BMI), tumor size, operation time, hospitalization days, etc. were collected. Renal tumor patients undergoing LRN or ORN were match-paired by gender, BMI, age, and tumor size. Peri-operative outcomes including estimated blood loss and complications were compared. The follow-up contents included survival time, disease progression, and cause of death, and cancer-specific and progression-free survival were estimated via Kaplan-Meier curve analysis. Results: Among 92 patients with clinical T2b renal masses, 37 pairs were matched. The average tumor sizes of the LRN and ORN groups were 11.37±0.30 and 11.67±0.33 cm (P=0.375), respectively. The average operating time for LRN was slightly longer (204.32±11.17 vs. 192.78±8.50 min, P=0.414). Estimated blood loss (EBL) (336.49±63.58 mL for LRN vs. 545.95±74.52 mL for ORN, P=0.036), the length of postoperative stay [6.0 (5.0–9.0) for LRN vs. 9.0 (6.0–11.5) days for ORN, P=0.015], and removal time of the drainage tube [4.0 (3.0–5.0) days for LRN vs. 5.0 (4.0–6.0) for ORN, P<0.001] were less than in the LRN group. The pathological subtype and Fuhrman grade were comparable. Both groups were followed up for a similar period, and no difference was observed in 5-year survival rates. Conclusions: Considering the conversion rates and overall complication rates, it seems that LRN for large renal carcinomas demonstrated equivalent peri-operative safety and effectiveness compared with ORN, with no adverse effects on midterm oncological outcomes.

Background: Clear cell renal cell carcinoma (ccRCC) patients with venous tumor thrombus (VTT) have poor prognosis. We aimed to reveal features of ccRCC with VTT and develop a urine-based prognostic classifier to predict ccRCC prognosis through integrative analyses of transcriptomic landscape and urinary signature.Methods: RNA sequencing was performed in five patients with ccRCC thrombus-tumor-normal tissue triples, while mass spectrometry was performed for urine samples from 12 ccRCC and 11 healthy controls. A urine-based classifier consisting of three proteins was developed to predict patients’ survival and validated in an independent cohort.Results: Transcriptomic analysis identified 856 invasion-associated differentially expressed genes (DEGs). Furthermore, proteomic analysis showed 133 differentially expressed proteins (DEPs). Integration of transcriptomic landscape and urinary signature reveals 6 urinary detectable proteins (VSIG4, C3, GAL3ST1, TGFBI, AKR1C3, P4HB) displaying abundance changes consistent with corresponding genes in transcriptomic profiling. According to TCGA database, VSIG4, TGFBI, and P4HB were significantly overexpressed in patients with shorter survival and might be independent prognostic factors for ccRCC (all p<0.05). A prognostic classifier consisting of the three DEPs highly associated with survival performed satisfactorily in predicting overall survival (HR=2.0, p<0.01) and disease-free survival (HR=1.6, p<0.001) of ccRCC patients. The ELISA analysis of urine samples from an independent cohort confirmed the satisfied predictive power of the classifier for pathological grade (AUC=0.795, p<0.001) and stage (AUC=0.894, p<0.001).Conclusion: Based on integrative analyses of transcriptomic landscape and urinary signature, the urine-based prognostic classifier consisting of VSIG4, TGFBI, and P4HB has satisfied predictive power of ccRCC prognosis and may facilitate ccRCC molecular subtyping and treatment.

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