HYPOTHESIS:Nomogram can be built to predict the pathological T3a upstaging from clinical T1a in patients with localized renal cell carcinoma before surgery. PURPOSE:Renal cell carcinoma (RCC) patients with clinical T1a (cT1a) disease who are upstaged to pathological T3a (pT3a) have reduced survivals after partial nephrectomy. We aimed to develop a nomogram-based model predicting pT3a upstaging in RCC patients with preoperative cT1a based on multiple preoperative blood indexes and oncological characteristics. MATERIALS AND METHODS:Between 2010 and 2019, 510 patients with cT1a RCC were individually matched according to pT3a upstaging and pathological T1a (pT1a) at a 1:4 ratio using clinicopathologic features. Least absolute shrinkage and selection operator regression analysis was used to identify the most important risk factor from 40 peripheral blood indicators, and a predictive model was established. Multivariate logistic regression analysis was performed with the screened blood parameters and clinical data to identify significant variables. Harrell's concordance index (C-index) was applied to evaluate the accuracy of the model for predicting pT3a upstaging in patients with cT1a RCC. RESULTS:Out of 40 blood indexes, the top ranked predictor was fibrinogen (FIB). Age, the ratio of the tumor maximum and minimum diameter (ROD), FIB, and tumor size were all independent risk factors for pT3a upstaging in multivariate analysis. A predictive ARFS model (Age, ROD, FIB, tumor Size) was established, and the C-index was 0.756 (95% CI, 0.681-0.831) and 0.712 (95% CI, 0.638-0.785) in the training and validation cohorts, respectively. CONCLUSIONS:Older age, higher ROD, increased FIB level, and larger tumor size were independent risk factors for upstaging. The ARFS model has a high prediction efficiency for pT3a upstaging in patients with cT1a RCC.

PURPOSE:This study aimed to construct a predictive model for recurrence and metastasis in patients with localized clear cell renal cell carcinoma (ccRCC) based on multiple preoperative blood indexes and oncological characteristics.PATIENTS AND METHODS:Overall, 442 patients with localized ccRCC between 2013 and 2015 were included. Using least absolute shrinkage and selection operator (LASSO) Cox regression analysis, the top three risk factors from the peripheral blood indicators were screened to construct a risk score, and a prognostic model was established. Harrell's concordance index (C-index) was applied to evaluate the predictive accuracy of the model for predicting disease-free survival (DFS) in ccRCC.RESULTS:Out of 38 blood indexes, the top three predictors were fibrinogen (FIB), C-reactive protein (CRP) and neutrophil-lymphocyte ratio (NLR). The FIB-CRP-NLR (FCN) score (hazard ratio [HR]: 1.86, 95% confidence interval [CI]: 1.21-2.9, P = 0.005) was an independent prognostic factor in multivariate analysis. Furthermore, the FIB-CRP-NLR-T-Grade (FCNTG) risk model combining FCN score, T stage and Furhman grade achieved a higher prognostic accuracy (mean C-index, 0.728) than both the FCN score alone (mean C-index, 0.675) and the stage, size, grade, and necrosis (SSIGN) score (mean C-index, 0.686) in the validation cohort.CONCLUSION:The FCN score combining peripheral blood indicators of inflammation and coagulation is an independent prognostic marker of ccRCC. The FCNTG model, which systemically incorporates preoperative blood indexes to oncological characteristics, shows its advantages of convenience and high prediction efficiency.

Objective To improve the accuracy of preoperative diagnosis of renal vein tumor thrombus in renal cell carcinoma (RCC),the clinical characteristics of RCC with misdiagnosis of renal vein tumor thrombus (RVTT) were analyzed.Methods Clinical data of 128 patients with RCC accompanied with RVTT from January 2000 to September 2015 were studied retrospectively.According to whether RVTT failed to be detected preoperatively,all patients were divided into 39 cases of misdiagnosis group and 89 cases of no misdiagnosis group.Forty cases of RCC with pathologically confirmed no RVTT were selected as no tumor thrombus group from January 2015 to June 2015.Misdiagnosis group included 29 males and 10 females,with age of (61.4 ± 11.1) years old,body mass index of (26.74 ±3.12) kg/m2,KPS ＜80 in 2 cases,paraneoplastic syndrome and Mayo grade 0 in 1 case.No misdiagnosis group consisted of 74 males and 15 females,with age of (60.2 ± 9.7) years old,body mass index of (25.12 ± 1.93) kg/m2,KPS ＜ 80 in 5 cases,paraneoplastic syndrome and Mayo grade 0 in 7 cases.No tumor thrombus group comprised of 31 males and 9 females,with age of (59.5 ± 10.7) years old,body mass index of (24.48 ± 2.56) kg/m2,KPS ＜ 80 in 3 cases,and paraneoplastic syndrome in 3 cases.There was no significant difference in general clinical data between misdiagnosis group and no misdiagnosis group,and misdiagnosis group and no tumor thrombus group (P ＞ 0.05).The tumor location,tumor diameter and imaging data were compared between misdiagnosis group and no misdiagnosis group,and misdiagnosis group and no tumor thrombus group.Results There was no significant difference in term of tumor locating in the middle pole [56.4％ (22/39) vs.38.2％ (34/89)],tumor with collateral vessels [33.3％ (13/39) vs.31.5％ (28/89)] and renal vein contrast agents filling defect [42.9％ (9/21) vs.61.8％ (21/34)] between misdiagnosis group and no misdiagnosis group (P ＞ 0.05).The proportion of renal tumor locating in the middle pole,tumor with collateral vessels and renal vein contrast agents filling defect in misdiagnosis group was significantly higher than that of no tumor thrombus group [30.0％ (12/40),P =0.018;10.0％ (4/40),P =0.012;16.7％ (4/24),P =0.002].Conclusions RVTT is vulnerable of misdianosis in RCC.It should be alert to the possibility of complicating tumor thrombus in the presence of renal tumor locating in the middle pole,renal tumor with collateral vessels and renal vein contrast agents filling defect.The clinical understanding of these features should be improved.