Prognostic value of albumin to globulin ratio in non-muscle-invasive bladder cancer

The Role of Thrombocyte/Lymphocyte Ratio and Aspartate Transaminase/Alanine Transaminase (De Ritis) Ratio in Prediction of Recurrence and Progression in Non-muscle Invasive Bladder Cancer

AIM

The purpose of the study was to determine the predictive value of platelet-to-lymphocyte ratio (PLR) and Aspartate transaminase (AST)/alanine transaminase (ALT) ratio (De Ritis ratio) for recurrence and progression in non-muscle-invasive bladder cancer (NMIBC).

METHODS

A total of 231 patients who underwent transurethral tumor resection between 2016 and 2022 were retrospectively analyzed. Preoperative test results, including AST, ALT, platelet, and lymphocyte counts, were used to calculate the PLR and De Ritis ratio. Univariate and multivariate analyses were performed to identify the predictive factors associated with recurrence and progression.

RESULTS

Based on the ROC curve, 1.19 and 1.21 were identified as the optimal cut-off values of the De Ritis ratio for recurrence and progression, respectively. Furthermore, PLR cut-off values for recurrence and progression were 114 and 118, respectively. There is a significant difference in recurrence-free survival (RFS) and progression-free survival (PFS) between the groups of patients with high and low De Ritis ratios (p = 0.028 and p = 0.021, respectively). In multivariate analysis, De Ritis ratio ≥ 1.19 and European Organization for Research and Treatment of Cancer (EORTC) high recurrence risk were determined to be significant predictors of tumor recurrence. Multivariate analysis also determined that T1 pathological stage, high tumor grade, European Organization for Research and Treatment of Cancer (EORTC) high progression risk, and De Ritis ratio ≥ 1.21 were risk factors for tumor progression.

CONCLUSION

In our study, the preoperative De Ritis ratio represented an independent predictive factor for recurrence and progression in non-muscle invasive bladder cancer. The use of this biomarker in combination with other diagnostic/predictive tools might help urologists improve the clinical decision-making process in the future.

Nomogram for customized recurrence prediction in primary non-muscle-invasive bladder cancer based on routine blood and urine parameters

PURPOSE

A prevalent condition with a high probability of recurrence, non-muscle invasive bladder cancer (NMIBC) necessitates lifetime surveillance. In patients with pathologically confirmed NMIBC, our goal was to create a unique nomogram to predict recurrence after transurethral resection of bladder tumor (TURBT).

METHODS

Our institution's 91 NMIBC patients with complete follow-up data between January 2017 and February 2021 were included in the retrospective analysis. The nomogram predicting the 0.5, 1, 2 and 3-year likelihood of recurrence was created using multivariate Cox proportional hazard models to find the significant determinants of recurrence. Using the concordance index (C-index), calibration curves, receiver operating characteristic (ROC) curves, and decision curve analyses (DCA), we internally validated the nomogram.

RESULTS

The significant factors related to NMIBC recurrence were age, blood platelet count, especially for the urine leukocyte count and mucus filament. The constructed nomogram performed well in the customized prediction of NMIBC recurrence at 6th, 12th, 24th and 36th month, of which the C-index was 0.724. The calibration curve and the ROC curve both validated the prediction accuracy. On DCA, the nomogram presented good net benefit gains across a wide range of threshold probabilities. Furthermore, the Nomogram-related risk score was used to divide the patient population into two groups with significant recurrence disparities.

CONCLUSION

For the prediction of NMIBC recurrence, our unique nomogram demonstrated a respectable degree of discriminative capacity, sufficient calibration, and considerable net benefit gain. There will be a need for additional internal and external validation.

A Prognostic Index Derived From LASSO-Selected Preoperative Inflammation and Nutritional Markers for Non-Muscle-Invasive Bladder Cancer

BACKGROUND

There is an urgent need to identify a robust predictor for BCG response in patients with non-muscle-invasive bladder cancer (NMIBC). We aimed to employ the Lasso regression model for the selection and construction of an index (BCGI) utilizing inflammation and nutrition indicators to predict the response to BCG therapy.

METHODS

After acquiring the ethics approval, we searched the electric medical records in our institution and performed data screening. Then, we developed the BCGI using a Lasso regression model and subsequently evaluated its performance in both the train and internal test datasets through Kaplan-Meier survival curves and Cox regression analysis. Then, we also evaluated the prognostic value of BCGI alongside the EAU2021 model.

RESULTS

The training dataset and internal test dataset contained 295 and 196 patients, respectively. Referring to the Lasso results, BCGI consisted of hemoglobin, albumin, and platelet count, which could significantly predict the recurrence of NMIBC patients who accepted BCG in train (P = .012) and test (P = .004) datasets. The BCGI also exhibited statistically prognostic value in no smoking history, World Health Organization high grade, and T1 subgroups, both in train and test datasets. In multivariable analysis, BCGI exhibited independent prognostic value in train (P = .012) and test (P = .012) datasets. Finally, we constructed a nomogram that consisted of smoking history, T stage, World Health Organization grade, tumor size, and BCGI. Then, BCGI demonstrated significant independent prognostic value in NMIBC patients treated with BCG, a result not observed with the EAU2021 score or classification.

CONCLUSION

Based on the results, we reasonably suggest that BCGI may be a useful predictor for NMIBC patients who accepted BCG. Furthermore, we have demonstrated the efficacy of constructing a prognostic index using clinical factors and a Lasso regression model, a versatile approach applicable to various medical conditions.

Smartphone digital image colorimetry for quantification of serum proteins

Colorimetric determination of proteins in serum is proposed based on the biuret method and replacing ultraviolet-visible spectrometric (UV-Vis) detection with a simple and affordable smartphone digital image colorimetric (SDIC) method. Optimum SDIC conditions were found as a detection wavelength of 555 nm, a region of interest of 1600 px2, and 9.0 cm between the detection camera and sample solution. Under the optimum conditions, the coefficient of determination was 0.9982 within a linear dynamic range of 0.022 to 0.35 g dL-1. The precision of the method based on the percent relative standard deviation was below 5%. The limit of detection and limit of quantitation were found to be 0.007 and 0.022 g dL-1 respectively, which were sufficient for the quantification of the total protein, albumin, and globulin in serum. The method was validated with an independent experiment using a UV-Vis method and both methods showed good statistical agreement, indicating the accuracy of the proposed SDIC method.

Preoperative urine sediment chromosomal instability level predicts urothelial cancer prognosis

PURPOSE

Urothelial carcinomas (UCs) are often characterized by frequent recurrences after surgery, making UC one of the costliest cancers. Chromosomal instability (CIN) has been proven to be a hallmark of UCs and is related to the prognosis of many cancer types. In this study, we evaluated CIN of urine sediments as a prognostic indicator for UCs.

METHODS

Patients with UC were prospectively recruited. Preoperative urine samples were collected for whole genome sequencing and urine cytology tests. Patients underwent standard-of-care treatment and were followed up until disease relapse or study ended. Concordance and accuracy of CIN alone or in combination with cytology in predicting disease relapse were assessed. The value of CIN combined with European Organization for Research and Treatment of Cancer (EORTC) model were also analyzed.

RESULTS

A total of 137 patients with UCs were included in this study. Median follow-up was 44.2 months and 41.61% patients suffered from cancer relapse. Patients with CIN-high indicated higher relapse rate, and this distinction was significant for patients underwent transurethral resection of bladder tumor (57.89% vs. 34.29%, P = 0.016). Combination of cytology and CIN result could further classified patients into subgroups with distinct relapse risks. Meanwhile, the combination of CIN and EORTC model significantly improved the prediction accuracy compared with EORTC alone (Harrel's C-index: 0.71 vs. 0.65).

CONCLUSION

CIN level of preoperative urine exfoliated cells had robust prognostic value for bladder cancer patients underwent TURBT. The prognostic model by combining CIN and EORTC may help in stratifying patients to optimize follow-up regimen.

Prognostic role of the controlling nutritional status (CONUT) score in patients with biliary tract cancer: a meta-analysis

BACKGROUND

Previous reports have not reached consistent results regarding the prognostic significance of the controlling nutritional status (CONUT) score in biliary tract cancer (BTC). Therefore, the present meta-analysis was conducted to investigate the precise role of the CONUT score in predicting the prognosis of BTC.

METHODS

Electronic platforms including Web of Science, PubMed, Cochrane Library, and Embase were comprehensively searched up to May 2, 2023. We also determined combined hazard ratios (HRs) and 95% confidence intervals (CIs) to estimate the role of the CONUT score in predicting the prognosis of patients with BTC.

RESULTS

Ten studies involving 1,441 patients were included in the present study. Nine studies treated patients with surgical resection, and one study used percutaneous transhepatic biliary stenting (PTBS) plus 125I seed intracavitary irradiation. Based on the combined data, a higher CONUT score significantly predicted dismal overall survival (OS) (HR = 1.94, 95%CI = 1.41-2.66, p < 0.001), inferior recurrence-free survival (RFS) (HR = 1.79, 95%CI = 1.48-2.17, p < 0.001) in BTC, and low differentiation (OR = 1.57, 95%CI = 1.15-2.14, p = 0.004). Nonetheless, the CONUT score was not related to sex, lymph node metastasis, microvascular invasion, perineural invasion, distant metastasis, TNM stage, or tumor number in patients with BTC.

CONCLUSION

Higher CONUT scores significantly predicted worse OS and RFS in patients with BTC. Moreover, BTC patients with high CONUT scores tended to have poor tumor differentiation. The CONUT score could help clinicians stratify high-risk patients with BTC and devise individualized treatment plans.

The efficacy of albumin-globulin ratio to predict prognosis in cancer patients

The goal of this systematic review was to identify all of the research within the last 10 years that investigated both the Albumin-Globulin Ratio (AGR) and outcomes of solid tumor cancer patients via quantitative prognostic variables. Multiple scientific databases were researched for journal articles that included keywords relating AGR to prognosis. Once isolated from the databases, the articles were de-duplicated and manually screened based on standardized inclusion/exclusion criteria in a blind format via Rayyan. The collective data were sorted by cancer type, corrected for population size, and used to calculate the average cut-off values for the most popular prognostic variables. In total, 18 independent types of cancer have been evaluated to see if AGR is a prognostic indicator based on multivariate analyses. The average cut-off value for AGR in overall survival was 1.356, while the average cut-off value for AGR in progression free survival was 1.292. AGR was found to be significantly associated with at least one prognostic variable in every type of cancer evaluated based on multivariate analyses. The ease of access and affordability of AGR makes it an invaluable tool applicable to nearly all patients. Overall, AGR is a proven prognostic variable that should always be considered in the evaluation of a solid tumor cancer patient's prognosis. Further research needs to be conducted studying the potential prognostic effect in more types of solid tumors.

Association between albumin-to-globulin ratio and the risk of overall survival in advanced non-small cell lung cancer patients with anlotinib treatment: a retrospective cohort study

OBJECTIVE

Researches about the association between serum albumin-to-globulin ratio (AGR) and the prognosis of lung cancer are limited. We aimed to investigate the relationship between AGR and overall survival (OS) in patients with advanced non-small-cell lung cancer (NSCLC) treated with anlotinib.

METHODS

A retrospective cohort study was conducted on 196 advanced NSCLC patients with anlotinib treatment between June 1, 2018 and June 1, 2021. The exposure was AGR, calculated by baseline serum albumin / (serum total protein - serum albumin). The outcome was OS, defined as the period from the date of initial treatment with anlotinib to death or the last follow-up. The univariate and multivariate linear regression models and generalized additive models (GAM) were used to analyze the relationship between AGR and OS. The Kaplan-Meier method was used to analyze the OS.

RESULTS

After adjusting for potential confounders, a non-linear relationship was observed between AGR and OS, which had an inflection point of 1.24. The hazard ratio and the confidence intervals on the left and the right sides of the inflection point were 13.05 (0.52 to 327.64) and 0.20 (0.07 to 0.57), respectively. It suggested that AGR was positively associated with OS when AGR was larger than 1.24, for every 1 unit increase in AGR, the risk of death lowered approximately by 80%.

CONCLUSIONS

The relationship between AGR and the OS for advanced NSCLC patients with anlotinib is non-linear. AGR level is an independent protective factor for OS in advanced NSCLC patients who received anlotinib therapy.

Can Peripheral Blood Systemic Immune Response Parameters Predict Oncological Outcomes in Patients with Non-Muscle-Invasive Bladder Cancer?

Background

Many studies have investigated most cancer types - associations with systemic inflammatory response (SIR) parameters. Aim: This study investigated predictive values of SIR parameters in oncological outcomes and survival - to primary non-muscle-invasive bladder cancer (NMIBC) patients.

Materials and Methods

We analyzed 74 primary NMIBC patients. Clinical features, laboratory results, and tumor characteristics were recorded. In addition, the neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), serum C-reactive protein, albumin-to-globulin ratio (AGR), and modified Glasgow prognostic scores (mGPS) were calculated.

Results

The - mean age of the patients was - 67.41 ± 11.31 years, and the follow-up duration was 38.77 ± 19.53 months. We - found no significant NLR, CRP, and AGR - correlations with tumor characteristics and oncological outcomes. There were significant - correlations between MLR and pathological-T-stage and the PLR, pathological-T-stage, and tumor count. Carcinoma in situ was associated with a high mGPS. Multivariate analysis revealed no significant - correlations between systemic inflammatory response parameters and oncological outcomes. Patients with a high mGPS had poor cancer-specific survival. Increased NLR was associated with reduced overall survival.

Conclusions

This study revealed no significant correlation between SIR parameters and oncological outcomes. Therefore, we need more reliable indicators than SIR parameters in NMIBC patients in clinical practice.

Effects of preoperative albumin-to-globulin ratio on overall survival and quality of life in esophageal cell squamous carcinoma patients: a prospective cohort study

OBJECTIVE

This study aimed to investigate the effect of preoperative albumin-to-globulin ratio (AGR) on overall survival (OS) and health-related quality of life in patients with esophageal cell squamous carcinoma (ESCC).

METHODS

Serum albumin and globulin were measured within one week before surgery. Multiple follow-ups were conducted among patients with ESCC in the study in order to assess their life quality. The method used in the study was a telephone interview. Quality of life was measured using the EORTC Quality of Life Questionnaire-Core Questionnaire (EORTC QLQ-C30, version 3.0) and Esophageal Cancer Module (EORTC QLQ- OES18).

RESULTS

A total of 571 ESCC patients were included in the study. The results illustrated that 5-year OS of high AGR group (74.3%) was better than the low one (62.3%) (P = 0.0068). Univariate and multivariate Cox regression analysis found that preoperative AGR (HR = 0.642, 95%CI: 0.444-0.927) are prognostic factor for patients with ESCC after surgery. In terms of quality of life, found that low AGR associated with increased postoperative time to deterioration (TTD) events in ESCC patients, and compared to low AGR, high AGR could delay the deterioration of emotional functioning(P = 0.001), dysphagia(P = 0.033), trouble with taste(P = 0.043) and speech problems(P = 0.043). After using the multivariate Cox regression analysis showed that high AGR could improve patients' emotional function (HR = 0.657, 95% CI: 0.507-0.852) and trouble with taste (HR = 0.706, 95% CI: 0.514-0.971).

CONCLUSIONS

Preoperative AGR in patients with ESCC after esophagectomy was positively correlated with overall survival rate and quality of life after operation.

C-reactive protein as a prognostic predictor for non-muscle invasive bladder cancer after intravesical bacillus Calmette-Guérin therapy: A Japan Urological Oncology Group study analysis

OBJECTIVE

To investigate the involvement of pretreatment C-reactive protein (CRP) and neutrophil-to-lymphocyte ratio (NLR) in the prognosis of patients who underwent intravesical bacillus Calmette-Guérin (BCG) therapy for non-muscle invasive bladder cancer (NMIBC).

METHODS

The clinicopathological data of 1709 patients with NMIBC who underwent initial intravesical BCG therapy after transurethral resection of bladder tumor were retrospectively analyzed to evaluate the outcome of intravesical BCG therapy in a multicenter study conducted by the Japan Urological Oncology Group. The prognoses of these patients were analyzed to determine whether the biomarkers (CRP and NLR) could predict the efficacy of intravesical BCG therapy. Patients were divided into two groups according to the pretreatment CRP and NLR, with cutoff values defined as CRP ≥ 0.5 mg/dl and NLR ≥ 2.5, based on several previous reports.

RESULTS

In the univariable analysis, CRP ≥ 0.5 mg/dl was significantly associated with intravesical recurrence, cancer-specific survival, and bladder cancer (BC) progression, while NLR ≥ 2.5 was not significantly associated with patient prognosis. In the multivariable analysis, CRP ≥ 0.5 mg/dl was significantly associated with intravesical recurrence and BC progression. The concordance index was used to examine the accuracy in predicting recurrence and progression events. While CRP was slightly, though not statistically significant, inferior to the European Association of Urology risk classification, the combination of them showed improved predictive accuracy.

CONCLUSION

This study suggests that CRP can be a prognostic factor after intravesical BCG therapy and may provide useful data for determining treatment and follow-up strategies for patients with NMIBC.

Prognostic Significance of Systemic Inflammation Markers in Testicular and Penile Cancer: A Narrative Review of Current Literature

In contemporary clinical practice, biomarkers are indispensable in the assessment and management of oncological patients. Although established serum tumor markers (beta human chorionic gonadotropin (bHCG), alpha fetoprotein (AFP), and lactate dehydrogenase (LDH)) have an indisputably important role in the management of patients with testicular cancer (TC), the application of these tumor markers may be accompanied with certain limitations, implying the need for additional biomarkers. Contrary to TC, there is a lack of established serological biomarkers for penile cancer (PC) and the management of this urological malignancy is based on multiple clinicopathological parameters. Therefore, the identification and rigorous analytical and clinical validation of reliable biomarkers are considered pivotal for improving PC management. Inflammation may be associated with all stages of oncogenesis, from initial neoplastic transformation to angiogenesis, tissue invasion, and metastasis. Accordingly, an array of inflammation-related indices have gained increasing attention as emerging predictors of oncological outcomes. The clinical usefulness of systemic inflammation markers was reported in many urological and non-urological malignancies. The aim of this narrative review is to summarize current scientific data regarding the prognostic and predictive significance of systemic inflammation markers in TC and PC patients.

ALT-803 in the treatment of non-muscle-invasive bladder cancer: Preclinical and clinical evidence and translational potential

Bladder cancer (BCa) is one of the most common malignant tumors that cause death. Approximately 75%–85% of BCa develop into non-muscle-invasive bladder cancer (NMIBC). Bacillus Calmette-Guérin (BCG) is the gold standard for avoiding cystectomy in the treatment of NMIBC. Unfortunately, up to 30% of patients do not respond to BCG treatment, and up to 70% of BCG responders relapse. The United States Food and Drug Administration (FDA) approved valrubicin (1998) and pembrolizumab (2020) for the treatment of BCG-unresponsive (BCGu) NMBIC. However, the complete remission rate for valrubicin and pembrolizumab was only 16% and 40.6%, respectively. ALT-803 (N-803) is an IL-15 superagonist and reduces tumor burden by promoting the proliferation and activation of NK cells and CD8⁺ T cells. The FDA received (23 May 2022) and accepted to review (28 July 2022) the marketing submission of ALT-803 plus BCG for the treatment of BCGu NMIBC. However, the FDA previously rejected the application for oportuzumab monatox (OM) due to a lack of data comparing it with pembrolizumab on August 20, 2021. Interestingly, the clinical efficacy and safety of ALT-803 were higher than that of pembrolizumab and OM, suggesting that ALT-803 may be approved by FDA. This review aims to further knowledge of the preclinical and clinical evidence of ALT-803 in the treatment of NMIBC and discuss its translational potential.

Serum albumin to globulin ratio prior to treatment as a potential non-invasive prognostic indicator for urological cancers

Background

Numerous clinical studies have reported an association between the pretreatment albumin to globulin ratio (AGR) and survival outcomes of urological cancers. However, these conclusions remain controversial. Therefore, we performed a meta-analysis to explore the prognostic value of the AGR in urinary system tumors.

Methods

We retrieved eligible studies published up to June 2022 through a comprehensive search of multiple databases. Pooled hazard ratios (HRs) with 95% confidence intervals (CI) for overall survival (OS), cancer-specific survival (CSS), recurrence-free survival (RFS), progression-free survival (PFS), and biochemical recurrence-free survival (BRFS) were used to evaluated the predictive effect of the AGR before treatment in urinary system tumors. Heterogeneity test, random-effects models, fixed-effects models and sensitivity tests were used for analyses.

Results

A total of 21 studies with 18,269 patients were enrolled in our meta-analysis. We found that patients with urinary system cancer with low AGR prior to treatment had poor OS [HR = 1.93, 95% CI (1.56–2.39), p < 0.001], CSS [HR = 2.22, 95% CI (1.67–2.96), p < 0.001], RFS [HR = 1.69, 95% CI (1.29–2.22), p < 0.001], and PFS [HR = 1.29, 95% CI (0.54–3.07), p < 0.001]. For prostate cancer (PCa), a low pretreatment AGR was associated with poor BRFS [HR = 1.46, 95% CI (1.28–1.67), p < 0.001]. Also, a subgroup analysis, stratified by ethnicity, cancer type, cutoff value, sample size and publication year, was conducted. The results showed that worse OS and CSS were significantly associated with these factors.

Conclusion

Our meta-analysis revealed that the AGR before treatment could be used as a non-invasive predictive biomarker to evaluate the prognosis of urological cancer patients in clinical practice.

Prognostic value of pretreatment serum albumin−globulin ratio in urothelial carcinoma: A systematic review and meta-analysis

Objective

To evaluate whether pretreatment albumin−globulin ratio (AGR) can be used as a biomarker for predicting the prognosis of patients with urothelial carcinoma (UC).

Methods

We systematically searched PubMed, Web of Science, China National Knowledge Infrastructure (CNKI), Google Scholar and Cochrane Library; the search time was up to May 2022. Stata 16.0 was used for data processing and statistical analysis.

Results

We identified 12 studies with 5,727 patients from 317 unique citations during the meta-analysis. Our results suggested that a low AGR before treatment was significantly associated with poor overall survival (OS) [hazard ratio (HR) = 1.99, 95% confidence interval (CI) = 1.45-2.75, P < 0.001], cancer-specific survival (CSS) [HR=2.01, 95% CI = 1.50-2.69, P < 0.001] and recurrence-free survival (RFS) [HR=1.39, 95% CI = 1.12-1.72, P = 0.002]. Furthermore, we defined different subgroups according to ethnicity, cancer type, cut-off value, sample size and stage. Similar prognostic outcomes for OS and CSS were observed in most subgroups. However, for subgroup of stage, the low pretreatment AGR only predicted the poor survival of patients with non-metastatic UC.

Conclusion

Our meta-analysis revealed that the AGR before treatment could be used as a predictive biomarker to indicate the prognosis of UC patients during clinical practice, especially in patients with non-metastatic UC.

Machine Learning in Prediction of Bladder Cancer on Clinical Laboratory Data

Bladder cancer has been increasing globally. Urinary cytology is considered a major screening method for bladder cancer, but it has poor sensitivity. This study aimed to utilize clinical laboratory data and machine learning methods to build predictive models of bladder cancer. A total of 1336 patients with cystitis, bladder cancer, kidney cancer, uterus cancer, and prostate cancer were enrolled in this study. Two-step feature selection combined with WEKA and forward selection was performed. Furthermore, five machine learning models, including decision tree, random forest, support vector machine, extreme gradient boosting (XGBoost), and light gradient boosting machine (GBM) were applied. Features, including calcium, alkaline phosphatase (ALP), albumin, urine ketone, urine occult blood, creatinine, alanine aminotransferase (ALT), and diabetes were selected. The lightGBM model obtained an accuracy of 84.8% to 86.9%, a sensitivity 84% to 87.8%, a specificity of 82.9% to 86.7%, and an area under the curve (AUC) of 0.88 to 0.92 in discriminating bladder cancer from cystitis and other cancers. Our study provides a demonstration of utilizing clinical laboratory data to predict bladder cancer.

Prognostic value of the systemic immune-inflammation index in non-muscle invasive bladder cancer

Purpose

We assessed the prognostic value of systemic immune-inflammation index (SII) to refine risk stratification of the heterogeneous spectrum of patients with non-muscle-invasive bladder cancer (NMIBC)

Methods

In this multi-institutional cohort, preoperative blood-based SII was retrospectively assessed in 1117 patients with NMIBC who underwent transurethral resection of bladder (TURB) between 1996 and 2007. The optimal cut-off value of SII was determined as 580 using the best Youden index. Cox regression analyses were performed. The concordance index (C-index) and decision curve analysis (DCA) were used to assess the discrimination of the predictive models.

Results

Overall, 309 (28%) patients had high SII. On multivariable analyses, high SII was significantly associated with worse PFS (hazard ratio [HR] 1.84; 95% confidence interval [CI] 1.23–2.77; P = 0.003) and CSS (HR 2.53; 95% CI 1.42–4.48; P = 0.001). Subgroup analyses, according to the European Association of Urology guidelines, demonstrated the main prognostic impact of high SII, with regards to PFS (HR 3.39; 95%CI 1.57–7.31; P = 0.002) and CSS (HR 4.93; 95% CI 1.70–14.3; P = 0.005), in patients with intermediate-risk group; addition of SII to the standard predictive model improved its discrimination ability both on C-index (6% and 12%, respectively) and DCA. In exploratory intergroup analyses of patients with intermediate-risk, the improved discrimination ability was retained the prediction of PFS and CSS.

Conclusion

Preoperative SII seems to identify NMIBC patients who have a worse disease and prognosis. Such easily available and cheap standard biomarkers may help refine the decision-making process regarding adjuvant treatment in patients with intermediate-risk NMIBC.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00345-021-03740-3.