Background A novel systemic immune-inflammation index (SII), based on the neutrophils, lymphocytes and platelet counts, is associated with the prognosis of several cancers. The present study evaluates the prognostic significance of SII in non-metastatic renal cell carcinoma (RCC). Method The present study retrospectively reviewed the medical record of patients with non-metastatic RCC who underwent nephrectomy between 2010 and 2013. Receiver operating characteristic (ROC) curve analysis was performed to identify the optimal cut-off value. In addition, the propensity score matching (PSM) was performed with a matching ratio of 1:1. Univariate and multivariate Cox proportional hazards models were used to identify the prognostic factors. The results were reported by hazard ratio (HR) with 95% confidence interval (95% CI). Results A total of 646 patients were included in the final analysis. High SII group (> 529) was significantly associated with older age (P = 0.014), larger tumor (P < 0.001), higher pathological T stage (P < 0.001), higher tumor grade (P < 0.001) and more tumor necrosis (P < 0.001). Multivariate Cox regression analysis demonstrated that the higher preoperative SII was significantly associated with worse overall survival (OS) (HR = 2.26; 95% CI 1.44–3.54; P < 0.001) and cancer-specific survival (CSS) (HR = 2.17; 95% CI 1.33–3.55; P = 0.002). After PSM, elevated preoperative SII was an independent predictor of poor OS (HR = 1.78; 95% CI 1.1–2.87; P = 0.018) and CSS (HR = 1.8; 95% CI 1.07–3.03; P = 0.027). Conclusion In conclusion, preoperative SII is associated with adverse factors for RCC. Furthermore, higher preoperative SII is an independent predictor of poor OS and CSS in surgically treated patients with non-metastatic RCC. More prospective and large scale studies are warranted to validate our findings.

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Objective The modified Glasgow prognostic score (mGPS), a combination of C-reactive protein (CRP) and albumin levels, reflects systemic inflammation and nutritional status. This score has been shown to have prognosis value for various tumors. In the present study, we evaluated the prognostic value of mGPS for patients with renal cell carcinoma (RCC). Methods Literature search was conducted based on PubMed, Embase, and Cochrane Central Register of Controlled Trials up to December 2018. We pooled HRs and 95% CIs to evaluate the correlation between mGPS and survival in patients with RCC. Results Twelve studies comprising 2,391 patients were included in the present study for quantitative synthesis. Our studies demonstrated that higher mGPS was significantly correlated to poor overall survival (HR=4.31; 95%CI, 2.78–6.68; P <0.001), cancer-specific survival (HR=5.88; 95%CI, 3.93–8.78; P <0.001), recurrence-free survival (HR=3.15; 95%CI, 2.07–4.79; P <0.001), and progression-free survival (HR=1.91; 95%CI, 1.27–2.89; P =0.002). Subgroup analyses also confirmed the overall results. Conclusion mGPS could serve as a predictive tool for the survival of patients with RCC. In the different subgroups, the results are also consistent with previous results. In conclusion, pretreatment higher mGPS is associated with poorer survival in patients with RCC. Further external validations are necessary to strengthen this concept.

Objectives:To investigate the survival characteristics of postoperative nonmetastatic renal cell carcinoma (RCC) patients, and the predictive value of a prognostic model. Materials and Methods:We retrospectively evaluated data from 1202 postoperative nonmetastatic RCC patients who were treated between 1999 and 2012 at West China Hospital, Sichuan University (Chengdu, China). In addition, we also evaluated data relating to 53 205 cases acquired from the Surveillance, Epidemiology, and End Results (SEER) program. Survival analysis was performed on the cases, and subgroups, using the Kaplan-Meier and Cox regression methods. The concordance index of the Stage Size Grade Necrosis (SSIGN), Leibovich, and the UCLA integrated staging system, scores was determined to evaluate the accuracy of these outcome prediction models. Results:The 5-year overall survival rate for RCC cases in West China Hospital was 87.6%; this was higher than that observed for SEER cases. Survival analysis identified several factors that exerted significant influence over prognosis, including the time of surgery, Eastern Cooperative Oncology Group performance status, tumor stage, size, nuclear differentiation, pathological subtypes, along with necrotic and sarcomatoid differentiation. Moreover tumor stage, size, and nuclear grade were all identified as independent predictors for both our cases and those from the SEER program. Patient groups with advanced RCC, and poorly differentiated RCC subgroups, were both determined to have a poor prognosis. The SSIGN model yielded the best predictive value as a prognostic model, followed by the Leibovich, and UCLA integrated staging system; this was the case for our patients, and for sub-groups with a poor prognosis. Conclusion: The prognosis of RCC was mostly influenced by tumor stage, size, and nuclear differentiation. SSIGN may represent the most suitable prognostic model for the Chinese population. |SHAO et Al.

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