Prognostic role of the systemic immune-inflammation index in upper tract urothelial carcinoma treated with radical nephroureterectomy: results from a large multicenter international collaboration

Prognostic and clinical pathological significance of the systemic immune-inflammation index in urothelial carcinoma: a systematic review and meta-analysis

Background

A new non-invasive biomarker, the Systemic Immune-Inflammation Index (SII), has been proven to have prognostic value in multiple cancers. This systematic review and meta-analysis aimed to investigate the prognostic and clinical pathological significance of SII in urothelial carcinoma.

Methods

A comprehensive search was conducted across multiple databases, including PubMed, Web of Science, Embase, Cochrane Library, and CNKI. The quality of the included studies was assessed using the Newcastle-Ottawa Scale (NOS). Hazard ratios (HR) with 95% confidence intervals (CI) were calculated to evaluate the prognostic value of SII before treatment on survival outcomes, and odds ratios (OR) with 95%CI were used to assess the correlation between SII before treatment and clinical pathological features.

Results

This meta-analysis included a total of 10 studies (11 datasets) with 6,333 patients. The pooled analysis showed that high SII before surgery was significantly associated with poor survival outcomes in patients with urothelial carcinoma, including overall survival (OS) (HR=1.55, 95%CI 1.24-1.95, p<0.001), cancer-specific survival (CSS) (HR=2.74, 95%CI 1.67-4.49, p<0.001), recurrence-free survival (RFS) (HR=2.74, 95%CI 1.67-4.49, p<0.001), and progression-free survival (PFS) (HR=1.66, 95%CI 1.36-2.02, p<0.001). In addition, patients with elevated preoperative SII values were more likely to have adverse pathological features, including larger tumor size and advanced pathological T stage (p<0.001).

Conclusion

These findings suggest a significant association between high SII levels before treatment and poor survival outcomes, as well as certain clinical pathological features, in patients with urothelial carcinoma.

Preoperative Systemic Inflammation Score Predicts the Prognosis of Patients with Upper Tract Urothelial Carcinoma Undergoing Radical Nephroureterectomy

Background: To investigate the prognostic significance of systemic inflammation score (SIS) in upper tract urothelial carcinoma (UTUC) in patients undergoing radical nephroureterectomy (RNU). Methods: A total of 313 UTUC patients who underwent RNU at West China Hospital from May 2014 to June 2019 were retrospectively analyzed. The predictive value of SIS for relevant endpoints, including overall survival (OS), cancer-specific survival (CSS), and progression-free survival (PFS), was assessed by Kaplan-Meier curves and the Cox proportional hazards model. Results: According to inclusion and exclusion criteria, 218 UTUC patients were ultimately included in this cohort study. Statistical analysis shows that increased SIS was significantly associated with higher TNM stage (p = 0.017), lower BMI (p = 0.037), absence of hemoglobin (p < 0.001), and pathologic necrosis (p = 0.007). Kaplan-Meier survival curves clearly visually stratified survival for the three outcomes. After adjusting for tumor grade, the multivariate Cox proportional hazards model results showed that SIS was an independent risk factor for poor OS and CSS (HR = 1.89, 95% CI: 1.11-3.21, p = 0.0183, HR = 1.89, 95% CI: 1.07-3.33, p = 0.0285) in the advanced group. Conclusions: SIS was an independent risk factor for OS and CSS after RNU in patients with high-grade UTUC. It may be a novel and conducive tool for preoperative risk stratification and guiding individualized therapy for high-risk UTUC patients.

Higher systemic immune-inflammation index is associated with sarcopenia in individuals aged 18-59 years: a population-based study

The association between the systemic immune-inflammation index (SII) and the risk of sarcopenia has not yet been revealed. The purpose of this study was to investigate the relationship between the SII and sarcopenia in individuals aged 18-59 years. All data for this study are from the National Health and Nutrition Examination Survey (NHANES) database, including 7258 participants (age range: 18-59 years). We divided SII values by quartiles (quartiles 1-4: 0.3-3.1, 3.2-4.4, 4.4-6.2, and 6.2-58.5). We constructed a multivariate logistic regression model to assess the association between the SII and the risk of sarcopenia, and an interaction test was run to test the stability of the model and identify high-risk individuals with sarcopenia. Compared to nonsarcopenia participants, sarcopenia patients had a significantly higher SII value (weighted average: 6.65 vs. 5.16) (P = 0.002). Multivariate logistic regression results showed a positive linear relationship between the SII and sarcopenia (OR [odds ratio] = 1.12, 95% CI [confidence interval] 1.03-1.21). Compared to the quartile 1 group, the quartile 4 group was associated with a higher risk of sarcopenia (OR = 3.94, 95% CI 1.42-10.94). Compared with the quartile 1 group, the OR value of the quartile 2 to quartile 4 groups showed an upwards trend (Ptrend < 0.001) as the level of SII increased. Subgroup analysis also indicate that the correlation between higher SII values and the risk of sarcopenia was stable. There was a significant positive linear relationship between SII and sarcopenia, indicating that higher SII values can increase the risk of sarcopenia in individuals aged 18-59 in the United States. The findings of this study will be beneficial in promoting the use of SII alone or in combination with other tools for the risk screening of sarcopenia in communities or large populations.

Preoperative systemic immune-inflammation index as a prognostic indicator for patients with urothelial carcinoma

Background

The systemic immune-inflammation index (SII) is a cost-efficient indicator for carcinoma prognosis. However, its utility in urothelial carcinoma (UC) prognosis is disputed. This meta-analysis aims to assess SII's prognostic value in UC.

Methods

A thorough search of databases including PubMed, Web of Science, Embase, Cochrane Library, and Scopus, was conducted to find studies until January 11, 2023. Eligibility criteria were applied to select studies. Hazard ratios (HRs) and 95% confidence intervals (CIs) were extracted from selected studies and compiled in a meta-analysis to gauge SII's association with survival outcomes such as overall survival (OS), cancer-specific survival (CSS), recurrence-free survival (RFS), and progression-free survival (PFS).

Results

This analysis includes 19 studies with 12505 UC patients. It was found that high SII significantly correlated with worse OS in UC patients (HR 1.430, 95% CI 1.237-1.653, P<0.001). High SII values also linked with poorer CSS (HR 1.913, 95% CI 1.473-2.485, P<0.001), RFS (HR 1.240, 95% CI 1.097-1.403, P=0.001), and PFS (HR 1.844, 95% CI 1.488-2.284, P<0.001) compared to low SII values. Subgroup analysis revealed SII's consistent prognostic value in UC across races, carcinoma types, sample sizes, and SII cut-off values, suggesting its potential as a prognostic indicator in UC patients.

Conclusion

Current evidence suggests SII as a promising, cost-efficient predictor in UC patients. This meta-analysis indicates SII's potential as a valuable prognostic tool in UC patients.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=307643, identifier CRD42022307643.

High systemic immune-inflammation index predicts poor prognosis and response to intravesical BCG treatment in patients with urothelial carcinoma: a systematic review and meta-analysis

Background

The systemic immune-inflammation index (SII) has emerged as a promising marker predicting the prognosis of some cancers, while its role in urothelial carcinoma (UC) remains uncertain, especially in upper urinary tract urothelial carcinoma (UTUC). This meta-analysis aimed to investigate the association of SII with the prognosis of UC and the response to intravesical Bacillus Calmette-Guerin (BCG) therapy of non-muscle invasive bladder cancer (NMIBC).

Methods

A systematic search in PubMed, Embase, Web of Science, and the Cochrane Library was performed to identify relevant studies. The extracted hazard ratios (HRs) and 95% confidence intervals (CIs) were used to evaluate the association between SII and overall survival (OS), cancer-specific survival (CSS), and recurrence-free survival (RFS) of patients with UC. Additionally, we pooled odds ratios (ORs) and 95% CIs to assess the relationship between SII and BCG response in patients with NMIBC. Subgroup and sensitivity analyses were performed to explore potential sources of heterogeneity.

Results

Twenty studies comprising a total of 12,645 patients were eligible. This meta-analysis revealed that high SII levels independently increased the risk of OS (HR 1.55, 95%CI 1.25-1.92), CSS (HR 1.82, 95%CI 1.36-2.45), and RFS (HR 1.26, 95% CI 1.18-1.35) in patients with UC, including those with upper tract urothelial carcinoma. Additionally, elevated SII levels could predict a lower response to intravesical BCG treatment (OR 0.18, 95%CI 0.07-0.45) and higher disease recurrence (HR 1.61, 95%CI 1.31-1.98) in patients with NMIBC. Furthermore, elevated SII levels were positively associated with advanced age, lymphovascular invasion, hydronephrosis, and high tumor grade and stage (pT ≥ 3).

Conclusions

Elevated preoperative SII levels are associated with poor survival outcomes in patients with UC, as well as worse response to BCG treatment in patients with NMIBC. Therefore, SII can serve not only as an independent prognostic predictor of patients with UC but also as a guide for BCG therapy in NMIBC.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023409077, identifier CRD42023409077.

Prognostic value of the systemic immune-inflammation index in patients with upper tract urothelial carcinoma after radical nephroureterectomy

BACKGROUND

To investigate the prognostic significance of the systemic immune-inflammation index (SII) for patients with upper tract urothelial carcinoma (UTUC) after radical nephroureterectomy (RNU) and develop nomogram models for predicting overall survival (OS), intravesical recurrence (IVR), and extra-urothelial recurrence (EUR).

METHODS

We retrospectively studied the clinical and pathological features of 195 patients who underwent RNU for UTUC. All patients were randomly divided into a training cohort (99 cases) and a validation cohort (96 cases). The training cohort was used to develop nomogram models, and the models were validated by the validation cohort. The least absolute shrinkage and selection operator (LASSO) regression and Cox regression were performed to identify independent predictors. The concordance index (C-index), receiver operator characteristics (ROC) analysis, and calibration plot were used to evaluate the reliability of the models. The clinical utility compared with the pathological T stage was assessed using the net reclassification index (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA).

RESULTS

SII was an independent risk factor in predicting OS and EUR. The C-index values of the nomogram predicting OS, IVR, and EUR were 0.675, 0.702, and 0.756 in the training cohort and 0.715, 0.756, and 0.713 in the validation cohort. A high level of SII was correlated with the invasion of the mucosa, muscle layer of the ureter, nerves, vessels, and fat tissues.

CONCLUSION

We developed nomogram models to predict the OS, IVR, and EUR of UTUC patients. The efficacy of these models was substantiated through internal validation, demonstrating favorable discrimination, calibration, and clinical utility. A high level of SII was associated with both worse OS and shorter EUR-free survival.

Impact of a novel immune and nutritional score on prognosis in patients with upper urinary tract urothelial carcinoma following radical nephroureterectomy

BACKGROUND

This study aimed to evaluate the clinical significance of a novel immune and nutritional score combining prognostic values of the controlling nutritional status (CONUT) score and prognostic immune and nutritional index (PINI) on long-term outcomes in patients with upper tract urothelial carcinoma (UTUC) after radical nephroureterectomy (RNU).

METHODS

This study analyzed 437 consecutive patients with UTUC treated by RNU. Restricted cubic splines were used to visualize the relation of PINI with Survival in patients with UTUC. The PINI was stratified into low- (1) and high-PINI (0) categories. The CONUT score was divided into three groups: Normal (1), Light (2), and Moderate/severe (3). Subsequently, patients were grouped according to CONUT-PINI score (CPS) (CPS group 1; CPS group 2; CPS group 3; and CPS group 4). Survival curves were plotted using the Kaplan-Meier method and log-rank test. The Cox proportional hazards regression model was used to determine the risk factors associated with overall Survival (OS) and cancer-specific Survival (CSS). By comprising independent prognostic factors, a predictive nomogram was constructed.

RESULTS

PINI and CONUT score were identified as independent prognostic factors for OS and CSS. Kaplan-Meier survival analysis showed that the high CPS group was associated with worse OS and CSS than the low CPS group. Multivariate Cox regression and competing risk analyses showed that CPS, LVI, T stage, margin, and pN were independent factors associated with OS and CSS. Based on these five significant factors, we constructed a prognostic model for predicting clinical outcomes. The receiver operating characteristic curve indicated that the model had excellent predictive abilities for survival. The C-index of this model for OS and CSS were 0.773, and 0.789, respectively. The nomogram for OS and CSS showed good discrimination and calibration. Decision curve analysis (DCA) showed that this nomogram has a higher net benefit.

CONCLUSION

The CPS combined the prognostic capacity of PINI and CONUT score and was able to predict patient outcomes in our cohort of UTUC patients. We have developed a nomogram to facilitate the clinical use of the CPS and provide accurate estimates of survival for individuals.

Immune-inflammatory-nutritional status predicts oncologic outcomes after radical cystectomy for urothelial carcinoma of bladder

OBJECTIVE

To perform the first investigation of the role of immune-inflammatory-nutritional status (INS) on oncological outcomes in patients undergoing open radical cystectomy (ORC) for urothelial carcinoma (UC).

MATERIALS AND METHODS

The records of consecutive patients who underwent ORC for non-metastatic bladder cancer between 2009 and 2020 were retrospectively analyzed. Neoadjuvant chemotherapy, non-urothelial tumor biology, and absence of oncological follow-up were exclusion criteria. Systemic immune-inflammatory index (SII) and Prognostic Nutritional Index (PNI) values were calculated and optimal cut-off values for these were used to designate four subgroups: "high SII-high PNI", "low SII-high PNI", "low SII-low PNI", and "high SII-low PNI". The Low SII-high PNI INS group had best overall survival (OS) rate while the remainder were included in non-favorable INS group. Survival curves were constructed, and a multivariate Cox regression model was used for OS and recurrence-free survival (RFS).

RESULTS

After exclusions, the final cohort size was 173 patients. The mean age was 64.31 ± 8.35 and median follow-up was 21 (IQR: 9-58) months. Optimal cut-off values for SII and PNI were 1216 and 47, respectively. The favorable INS group (low SII-high PNI, n = 89) had the best OS rate (62.9%). Multivariate Cox regression analysis indicated that non-favorable INS (n = 84) was a worse independent prognostic factor for OS (HR: 1.509, 95%CI: 1.104-3.145, p = 0.001) and RFS (HR: 1.285; 95%CI: 1.009-1.636, p = 0.042).

CONCLUSION

Preoperative assessment of INS may be a useful prognostic panel for OS and RFS in patients who had ORC for UC.

Prognostic models for upper urinary tract urothelial carcinoma patients after radical nephroureterectomy based on a novel systemic immune-inflammation score with machine learning

PURPOSE

This study aimed to evaluate the clinical significance of a novel systemic immune-inflammation score (SIIS) to predict oncological outcomes in upper urinary tract urothelial carcinoma(UTUC) after radical nephroureterectomy(RNU).

METHOD

The clinical data of 483 patients with nonmetastatic UTUC underwent surgery in our center were analyzed. Five inflammation-related biomarkers were screened in the Lasso-Cox model and then aggregated to generate the SIIS based on the regression coefficients. Overall survival (OS) was assessed using Kaplan-Meier analyses. The Cox proportional hazards regression and random survival forest model were adopted to build the prognostic model. Then we established an effective nomogram for UTUC after RNU based on SIIS. The discrimination and calibration of the nomogram were evaluated using the concordance index (C-index), area under the time-dependent receiver operating characteristic curve (time-dependent AUC), and calibration curves. Decision curve analysis (DCA) was used to assess the net benefits of the nomogram at different threshold probabilities.

RESULT

According to the median value SIIS computed by the lasso Cox model, the high-risk group had worse OS (p<0.0001) than low risk-group. Variables with a minimum depth greater than the depth threshold or negative variable importance were excluded, and the remaining six variables were included in the model. The area under the ROC curve (AUROC) of the Cox and random survival forest models were 0.801 and 0.872 for OS at five years, respectively. Multivariate Cox analysis showed that elevated SIIS was significantly associated with poorer OS (p<0.001). In terms of predicting overall survival, a nomogram that considered the SIIS and clinical prognostic factors performed better than the AJCC staging.

CONCLUSION

The pretreatment levels of SIIS were an independent predictor of prognosis in upper urinary tract urothelial carcinoma after RNU. Therefore, incorporating SIIS into currently available clinical parameters helps predict the long-term survival of UTUC.

Prognostic analysis of inflammatory response-related genes and biomarkers in patients with urothelial carcinoma of ureter

Ureteral urothelial carcinoma is a common urinary system tumor, accounting for 40% to 60% of all ureteral diseases. This study attempted to analyze the prognosis of patients with urothelial carcinoma, judging ureteral urothelial carcinoma by genes and biomarkers of inflammatory response. In this paper, co-expression network analysis and gene-based image fusion evaluation methods were proposed to obtain the prognosis results of patients with ureteral urothelial carcinoma. The experimental results showed that the levels of PLR and NLR increased, and the levels of HGB and HCT decreased; high PLR and high NLR levels, low HGB and low HCT levels were all risk factors affecting bladder urothelial carcinoma, and their ratios (OR) were 1.023, 1.611, 0.961, 0.859, 1.015, 1.072, 0.979, and 0.951, respectively. However, high PLR and high NLR levels were independent risk factors for bladder urothelial carcinoma, and their OR values were 1.497 and 1.071, respectively. Through biomarker diagnosis, the area under the curve, sensitivity, specificity and Youden index of hsa-mir-17, hsa-mir-93, hsa-mir-429 and hsa-mir-20a all exceeded 0.9, indicating that this is a potential diagnostic indicators. All in all, during the treatment of ureteral cancer, in order to reduce tumor recurrence, systemic therapy should be combined with ureteral cancer. In addition, this study also analyzed the prognosis of chemotherapy patients, and the results showed that immunotherapy may increase the risk of tumor cell reperfusion during chemotherapy.

Systemic immune-inflammation index predicts prognosis of cancer immunotherapy: systemic review and meta-analysis

Objective: This meta-analysis was designed to explore the association between the systemic immune-inflammation index (SII) and the therapeutic effect of immune checkpoint inhibitors. Materials & methods: The authors retrieved relevant studies published before May 25, 2022. Hazard ratio (HR) with 95% CI was used to evaluate the relationship between SII and overall survival (OS) and progression-free survival (PFS). Results: 14 articles comprising 2721 patients were included in this study. The pooled results proved that high SII levels were closely related to poor prognosis in cancer patients receiving immune checkpoint inhibitors (OS HR = 2.40; 95% CI: 2.04-2.82; PFS HR = 1.57; 95% CI: 1.33-1.86) and that an SII value of 750 was appropriate as a cut-off value (OS HR = 2.20; 95% CI: 1.83-2.63; PFS HR = 1.54; 95% CI: 1.33-1.80). Conclusion: High SII levels (>750) may be an indicator of worse OS and PFS in cancer patients treated with immune checkpoint inhibitors.

The Systemic Immune-Inflammation Index (SII) Increases the Prognostic Significance of Lymphovascular Invasion in Upper Tract Urothelial Carcinoma After Radical Nephroureterectomy

Purpose

Lymphovascular invasion (LVI) and systemic immune-inflammation index (SII) both have been proved to correlate with oncologic outcomes in upper tract urothelial carcinoma (UTUC). We hypothesize that integrating SII with LVI may be an aid for risk-stratification of prognosis. This study aimed to evaluate the prognostic significance of combined SII and LVI in patients with localized UTUC.

Patients and Methods

A retrospective analysis of clinicopathological data of 554 UTUC patients who underwent radical nephroureterectomy (RNU) was conducted. The SII was calculated using the equation (preoperative serum neutrophil*platelet/lymphocyte). Use of Kaplan–Meier analyses and Cox proportional hazards models were to evaluate associations of combining SII and LVI with overall survival (OS), cancer-specific survival (CSS), and progression-free survival (PFS). Furthermore, receiver operating characteristic (ROC) analysis was applied to estimate predictive ability of combining SII and LVI for oncological outcomes.

Results

Positive LVI was significantly associated with advanced stage, high grade, necrosis, lymph node metastasis, and high-level SII. Positive LVI and high-level SII co-existence was significantly associated with unfavorable OS, CSS, and PFS in Kaplan-Meier analyses (all p < 0.001) and was an independent indicator of OS, CSS, and PFS (HR [95% CI]: 3.918 [2.168–7.078], 5.623 [2.679–11.801], 3.377 [2.138–5.334]), respectively) in multivariate analyses. Furthermore, adding LVI and SII to a model that included standard pathologic predictors exhibited a better ability to predict survival in ROC analysis.

Conclusion

The integration of SII and LVI was demonstrated to be a potential factor of poor outcomes in patients with localized UTUC. Notably, the combined use of LVI and SII can be a feasible and complementary factor to TNM staging in the prognostic assessment of UTUC patients in clinical practice. The validity of combination of the two markers would be considered in future prospective studies to evaluate its usefulness in staging and application of post-operative chemo or immunotherapy.

Systemic inflammation indices predict mortality in patients with COVID-19

Aim: In recent years, inflammation-based indices obtained from hematologic parameters have been shown to have prognostic value in various inflammatory diseases and cancer types. In this study, we aimed to investigate whether inflammation indices could be used to predict mortality in patients with COVID-19. Material and Method: A total of 295 patients with a proven diagnosis of COVID-19 who were followed up in the intensive care unit were included in this retrospective, cross-sectional study. The patients were divided into two groups, survivors and non-survivors. Results: D-dimer (HR:1.001, 95% CI:1-1.001) and troponin (HR: 1.001 95% CI: 1-1.001) levels of non-survivors were significantly higher in univariate analyses (p&lt;0.05). Procalcitonin levels of whom were found to be high in univariate (HR: 1.018 95% CI: 1.003 – 1.034) and multivariate (HR:1.02 95% CI: 1.004-1.037) analyses (p&lt;0.05). There was no significant difference between the groups in terms of median values of PLR, SIRI, and AISI indices (p&gt;0.05). The median NLR value of the survivors was 7.45, while it was 11.39 in the non-survivors, and this difference was statistically significant (p&lt;0.001). The median value of the SII index of the non-survivors was found as 2421.02, which was significantly higher than the survivors (p&lt;0.001). The value of NLR and SII indices in predicting mortality in COVID-19 was evaluated using ROC analysis (NLR: AUC=0.644, 95%CI: 0.581-0.708, p&lt;0.001; SII: AUC=0.584, 95%CI: 0.517-0.651, p=0.017). When the cut-off value for NLR was accepted as 9.574, the sensitivity was 59.3% and the specificity was 67% in predicting mortality. When the cut-off value for SII was accepted as 2285,846, it was found that it could predict mortality with a sensitivity of 52.38% and specificity of 66.04%. Conclusion: SII and NLR indices can predict mortality in patients with COVID-19 followed up in the intensive care unit.

Higher Systemic Immune-Inflammation Index is associated with higher likelihood of peripheral arterial disease

PURPOSE

To explore the association between SII (Systemic Immune-Inflammation Index) and PAD (peripheral arterial disease) in American adults.

METHODS

Related data from NHANES (National Health and Nutrition Examination Survey) database (1999-2004) were collected and analyzed. PAD was diagnosed by ankle brachial index assessment. The association between SII and prevalent PAD was assessed using multivariable logistic regression.

RESULTS

A total of 6,576 eligible subjects (including 6117 subjects without PAD and 459 with PAD) were finally enrolled in the study, among which there were 3,187 females and 3,389 males with a mean SII of 585.3± 401.5. The age of the subjects with PAD was larger compared to those without PAD (70.2±11.8 vs. 58.7±12.5), and the incidence of chronic diseases, that's CAD, diabetes and hypertension, was higher in those without PAD (p<0.001). Multivariable logistic regression indicated that a high SII level was an independent risk factor for PAD (OR = 1.51, 95% CI: 1.18- 1.93, p = 0.0012) after adjusting for body mass index, race, sex, age, diabetes mellitus (yes/no), hypertension (yes/no), and cardiovascular disease (yes/no).

CONCLUSION

It is suggested that a higher SII is associated with a higher risk of PAD.

Preoperative models incorporating the systemic immune-inflammation index for predicting prognosis and muscle invasion in patients with non-metastatic upper tract urothelial carcinoma

OBJECTIVE

To develop preoperative models as a guide to indications for neoadjuvant chemotherapy (NAC) and regional lymph node dissection (LND) before and at radical nephroureterectomy (RNU), respectively, in patients with non-metastatic upper tract urothelial carcinoma (UTUC) by incorporating the systemic immune-inflammation index (SII).

METHODS

This retrospective study enrolled 103 consecutive patients with UTUC undergoing RNU. The SII was calculated as neutrophils × platelets / lymphocytes. Multivariable Cox proportional hazard model was used to develop preoperative models for cancer-specific survival (CSS) and overall survival (OS). A model for predicting muscle invasion was developed using logistic regression analysis. Harrell's concordance-index (c-index) or the area under the receiver operating characteristic curve (AUC) was used to evaluate the accuracy of the models.

RESULTS

During follow-up (median: 41 months), 26 and three patients died of UTUC and other causes, respectively. Performance status > 0, clinical tumor (cT) stage ≥ 3, and SII > 520 were independent adverse prognosticators for CSS, and one point was assigned to each prognosticator. Risk score models comprising the sum of the points stratified patients into three risk groups (0, 1, and 2-3; P < 0.001 for CSS and OS) with respective c-indices of 0.843 and 0.820. SII > 677 and ≥ cT3 were independently associated with muscle invasion. A model based on these variables predicted muscle invasion with AUC of 0.804.

CONCLUSION

Preoperative SII is significantly associated with worse survival outcomes and muscle invasion in patients with non-metastatic UTUC. Our preoperative predictive models may serve as a guide to indications for NAC and LND.

Impact of preoperative systemic immune-inflammation Index on oncologic outcomes in bladder cancer patients treated with radical cystectomy

PURPOSE

To investigate the predictive and prognostic value of the preoperative systemic immune-inflammation index (SII) in patients undergoing radical cystectomy (RC) for clinically non-metastatic urothelial cancer of the bladder (UCB).

METHODS

Overall, 4,335 patients were included, and the cohort was stratified in two groups according to SII using an optimal cut-off determined by the Youden index. Uni- and multivariable logistic and Cox regression analyses were performed, and the discriminatory ability by adding SII to a reference model based on available clinicopathologic variables was assessed by area under receiver operating characteristics curves (AUC) and concordance-indices. The additional clinical net-benefit was assessed using decision curve analysis (DCA).

RESULTS

High SII was observed in 1879 (43%) patients. On multivariable preoperative logistic regression, high SII was associated with lymph node involvement (LNI; P = 0.004), pT3/4 disease (P <0.001), and non-organ confined disease (NOCD; P <0.001) with improvement of AUCs for predicting LNI (P = 0.01) and pT3/4 disease (P = 0.01). On multivariable Cox regression including preoperative available clinicopathologic values, high SII was associated with recurrence-free survival (P = 0.028), cancer-specific survival (P = 0.005), and overall survival (P = 0.006), without improvement of concordance-indices. On DCAs, the inclusion of SII did not meaningfully improve the net-benefit for clinical decision-making in all models.

CONCLUSION

High preoperative SII is independently associated with pathologic features of aggressive disease and worse survival outcomes. However, it did not improve the discriminatory margin of a prediction model beyond established clinicopathologic features and failed to add clinical benefit for decision making. The implementation of SII as a part of a panel of biomarkers in future studies might improve decision-making.

The Predictive Value of Systemic Immune-Inflammation Index on Bladder Recurrence on Upper Tract Urothelial Carcinoma Outcomes after Radical Nephroureterectomy

BACKGROUND

This study aimed to assess the prognostic significance of pre-treatment lymphocyte-related systemic inflammatory biomarkers in upper tract urothelial carcinoma (UTUC) patients.

METHODS

This study included non-metastatic UTUC patients treated at our hospital between 2001 and 2013. The receiver operating characteristic curve was used to obtain the optimal neutrophile-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII). Multivariate logistic regression was performed to investigate the relationship between NLR, PLR, and SII and clinical pathologic characteristics. The Kaplan-Meier method was used to calculate the metastasis-free survival (MFS), cancer-specific survival (CSS), and bladder recurrence-free survival (BRFS), and the log-rank test was used to compare the survival rate.

RESULTS

Overall, 376 patients were included in the current study. An elevated SII was associated with symptomatic hydronephrosis, bladder cancer history, advanced pathologic tumor stage, lymph node invasion, adjuvant chemotherapy and concomitant carcinoma in situ (CIS); high NLR was associated with older age, symptomatic hydronephrosis, hemodialysis status, anemia, multifocal tumor, advanced pathologic tumor stage, and adjuvant chemotherapy; and high PLR was associated with older age, anemia, advanced pathologic tumor stage, and adjuvant chemotherapy. The Kaplan-Meier analysis indicated that patients exhibiting higher NLR, PLR, and SII showed significantly poor MFS and CSS rates. Only high SII showed significantly worse BRFS rates.

CONCLUSIONS

The NLR, PLR, and SII were independent predictive factors for both MFS and CSS in UTUC patients. Among the factors, only elevated SII can predict bladder recurrence. Therefore, the patients might need close bladder monitoring during the follow-up.

Discordance Between Clinical and Pathological Staging and Grading in Upper Tract Urothelial Carcinoma

INTRODUCTION

This study aimed to evaluate the concordance in tumor stage and grade between ureteroscopic (URS) biopsy and radical nephroureterectomy (RNU) in patients with upper tract urothelial carcinoma (UTUC).

PATIENTS AND METHODS

Records of 1,214 UTUC patients who had undergone URS biopsy followed by RNU were included. Univariable and multivariable logistic regression analyses were performed to identify factors contributing to the pathological upstaging.

RESULTS

The concordance between URS biopsy-based clinical and RNU pathological staging was 34.5%. Clinical understaging occurred in 59.5% patients. Upstaging to muscle-invasive disease occurred in 240 (41.7%) of 575 patients diagnosed with ≤cT1 disease. Of those diagnosed with muscle-invasive disease on final pathology, 89.6% had been clinically diagnosed with ≤cT1 disease. In the univariable analyses, computed tomography urography (CTU)-based invasion, ureter location, hydronephrosis, high-grade cytology, high-grade biopsy, sessile architecture, age, and women sex were significantly associated with pathological upstaging (P < .05). In the multivariable analyses, CTU-based invasion and hydronephrosis remained associated with pathological upstaging (P < .05). URS biopsy-based clinical and pathological gradings were concordant in 634 (54.2%) patients. Clinical undergrading occurred in 496 (42.4%) patients.

CONCLUSIONS

Clinical understaging/undergrading and upstaging to muscle-invasive disease occurred in a high proportion of UTUC patients undergoing RNU. Despite the inherent selection bias, these data underline the challenges of accurate UTUC staging and grading. In daily clinical practice, URS biopsy and CTU offer the most accurate preoperative information albeit with limited predictive value when used alone. These findings should be considered when utilizing preoperative, risk-adapted strategies.