Systemic immune-inflammation index predicts the clinical outcome in patients with metastatic renal cell cancer treated with sunitinib

Prognostic value of systemic immune-inflammation index in patients with metastatic renal cell carcinoma treated with systemic therapy: a meta-analysis

Objective

A novel systemic immune-inflammation index (SII), based on the neutrophils, lymphocytes, and platelet counts, is associated with the prognosis of several cancers, including non-metastatic renal cell carcinoma (RCC). In the present study, we evaluate the prognostic significance of SII in patients with metastatic RCC (mRCC) treated with systemic therapy.

Method

Relevant studies were searched comprehensively from Web of Science, PubMed, Embase and the Cochrane Library up to January 2024. The pooled hazard ratio (HR) and 95% confidence interval (CI) were extracted from each study to evaluate the prognostic value of SII in patients with mRCC treated with tyrosine kinase inhibitor (TKI) or immune checkpoint inhibitor (ICI).

Results

A total of 12 studies including 4,238 patients were included in the final analysis. High SII was significantly correlated to poor overall survival (OS, HR = 1.88; 95% CI 1.60-2.21; P < 0.001) and progression-free survival (PFS, HR = 1.66; 95% CI 1.39-1.99; P < 0.001). Stratified by therapy, high SII was also related to the poor OS (TKI: HR = 1.63, P < 0.001; ICI: HR = 2.27, P < 0.001) and PFS (TKI: HR = 1.67, P < 0.001; ICI: HR = 1.88, P = 0.002).

Conclusion

In conclusion, high SII could serve as an unfavorable factor in patients with mRCC treated with systemic therapy. Stratified by therapies, the elevated SII was also associated with worse prognosis. Whereas, more prospective and large-scale studies are warranted to validate our findings.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024522831, identifier CRD42024522831.

Association between systemic immune-inflammation index and chronic kidney disease: A population-based study

BACKGROUND

Systemic immune-inflammation index (SII) is a new indicator of inflammation, and chronic kidney disease (CKD) has a connection to inflammation. However, the relationship between SII and CKD is still unsure. The aim of this study was whether there is an association between SII and CKD in the adult US population.

METHODS

Data were from the National Health and Nutrition Examination Survey (NHANES) in 2003-2018, and multivariate logistic regression was used to explore the independent linear association between SII and CKD. Smoothing curves and threshold effect analyses were utilized to describe the nonlinear association between SII and CKD.

RESULTS

The analysis comprised 40,660 adults in total. After adjusting for a number of factors, we found a positive association between SII and CKD [1.06 (1.04, 1.07)]. In subgroup analysis and interaction tests, this positive correlation showed differences in the age, hypertension, and diabetes strata (p for interaction<0.05), but remained constant in the sex, BMI, abdominal obesity, smoking, and alcohol consumption strata. Smoothing curve fitting revealed a non-linear positive correlation between SII and CKD. Threshold analysis revealed a saturation effect of SII at the inflection point of 2100 (1,000 cells/μl). When SII < 2100 (1,000 cells/μl), SII was an independent risk element for CKD.

CONCLUSIONS

In the adult US population, our study found a positive association between SII and CKD (inflection point: 2100). The SII can be considered a positive indicator to identify CKD promptly and guide therapy.

Comparison of PIV and Other Immune Inflammation Markers of Oncological and Survival Outcomes in Patients Undergoing Radical Cystectomy

Inflammation is widely acknowledged as a significant characteristic of cancer, playing a substantial function in both the initiation and advancement of cancers. In this research, we planned to compare pan-immune inflammation markers and other well-known markers (systemic immune inflammation index and neutrophil to lymphocyte ratio) to predict prognosis in individuals treated with radical cystectomy for bladder cancer.

METHODS

In this retrospective analysis, we focused on preoperative PIV, systemic immune inflammation index (SII), and neutrophil-lymphocyte ratio (NLR) in 193 individuals managed with radical cystectomy for bladder cancer between January 2016 and November 2022. Multivariable logistic regression assessments were performed to assess the predictive capabilities of PIV, SII, and NLR for infiltration of lymph nodes (N), aggressive tumor stage (pT3/pT4), and any non-organ limited disease at the time of RC. Multivariable Cox regression analyses were conducted to assess the predictive impact of PIV on Relapse-free survival (RFS), Cancer-specific survival (CSS), and Overall survival (OS).

RESULTS

Our individuals were divided into high PIV and low PIV cohorts using the optimal cut-off value (340.96 × 109/L) based on receiver operating characteristic curve analysis for relapse-free survival. In multivariable preoperative logistic regression models, only SII and PIV correlated with the infiltration of lymph nodes, aggressive disease, and any non-organ confined disease. In multivariable Cox regression models considering presurgical clinicopathological variables, a higher PIV was associated with diminished RFS (p = 0.017) and OS (p = 0.029). In addition, in multivariable Cox regression models for postoperative outcomes, a high PIV correlated with both RFS (p = 0.034) and OS (p = 0.048).

CONCLUSIONS

Our study suggests that PIV and SII are two very similar markers that may serve as independent and significant predictors of aggressive disease and worse survival impacts on individuals undergoing radical cystectomy for bladder neoplasm.

Which inflammatory marker, between systemic immune-inflammation index and neutrophil to eosinophil ratio, is associated with Peyronie's disease and are there any implications for a better understanding of its mechanisms?

BACKGROUND

Peyronie's disease affects up to 9% of men and is often accompanied by pain and/or erectile dysfunction. It is characterized by an inflammatory process that is the grassroots of the subsequent fibrosis stage. There is an unmet need to evaluate its onset and progression. Among the newly proposed biomarkers of inflammation, authors developed a novel systemic immune-inflammation index (SII) based on lymphocyte, neutrophil, and platelet counts. Similarly, a recent study reported that a neutrophil-to-eosinophil ratio (NER) represents systemic inflammation.

RESULTS

A 49-patient group with Peyronie's disease as confronted with 50 well-matched for age and BMI controls. As laboratory evaluation of inflammation, SII, NER and the eosinophil to neutrophil ratio (ENR) were studied. As a likely risk factor for the presence of Peyronie's disease, a higher prevalence of hypercholesterolemia, hyperglycemia and hypertension was discovered in the patients compared to controls. A significant difference was found in the median values of the NER between the two selected groups, i.e., 32.5 versus 17.3 (p = 0.0021). As expected, also ENR was significantly different. The receiver operating characteristic curves for SII, ENR and NER were 0.55, 0.32 and 0.67, respectively, highlighting the best performance of NER. The cut-off for NER was 12.1, according to the Youden test.

CONCLUSIONS

According to our results, any evaluation of circulating eosinophil, evaluated as NER, beyond being a signature of immuno-inflammatory response, help assess tissue homeostasis, since eosinophils are now considered multifunctional leukocytes and give a picture of the inflammatory process and repair process belonging to Peyronie's disease.

Predictive value of systematic immune-inflammation index combined with Ki-67 index on prognosis of prostate cancer patients after laparoscopic radical prostatectomy

BACKGROUND

Prostate cancer (PCa) presents a wide spectrum. Systemic immune-inflammation index (SII) and Ki-67 index are new biomarkers that can predict prognosis in different types of cancer. We explored the predictive value of their combination on the prognosis of PCa patients after laparoscopic radical prostatectomy (LRP).

METHODS

In this retrospective study, 290 patients who underwent LRP at Nanjing Lishui People's Hospital between January 2016 and February 2021 were enrolled. They were divided into the good prognosis group (N = 235) and poor prognosis group (N = 55) based on the follow-up results. Both the baseline data and postoperative pathological results were collected. The Ki-67 index was determined using immunohistochemical kits, and the patients were allocated to the SII/Ki-67 index high/low expression groups according to the cut-off values to further analyze their relationship with clinical/pathological data of PCa patients. Logistics multivariate regression analysis was utilized to analyze the independent factors affecting post-LRP prognosis of CPa patients. ROC curve was plotted to assess the predictive value for post-LRP prognosis, and Kaplan-Meier curve/Log-rank were used for analysis.

RESULTS

Significant differences were found in PSA/Gleason score/T stage/lymph node metastasis/seminal vesicle invasion/neutrophils/lymphocytes/platelets/preoperative SII/Ki-67 index between the good/poor prognosis groups. Preoperative SII/Ki-67 were related to PSA/lymphocytes/platelets in PCa. Seminal vesicle invasion and preoperative SII + Ki-67 index were independent factors affecting post-LRP prognosis. Preoperative SII + Ki-67 index had a better predictive value than preoperative SII or Ki-67 index alone. Patients with high preoperative SII and Ki-67 index levels had an increased risk of poor prognosis after LRP.

CONCLUSION

Preoperative SII + Ki-67 index had a better predictive value for poor prognosis after LRP than SII or Ki-67 index alone.

Inflammatory indices as prognostic markers in metastatic colorectal cancer patients treated with chemotherapy plus Bevacizumab

Background

Validated predictors of sensitivity or resistance to Bevacizumab (Bev) are not available, and Inflammatory Indexes (IIs) has been reported to be useful prognostic factors in various malignant solid tumours, including metastatic colorectal cancer (mCRC).

Objectives

To explore the prognostic value of IIs in mCRC patients treated with first-line chemotherapy plus Bev.

Design

One hundred and eighty-two patients diagnosed with mCRC and treated with first line chemotherapy plus Bev were considered for this prospective non-pharmacological study. Neutrophil, lymphocyte, platelet, aspartate transaminase (AST) and lactate dehydrogenase (LDH) tests were carried out at baseline and before each treatment cycle, according to clinical practice.

Methods

Pre-treatment Systemic Immune-inflammation Index (SII), Colon Inflammatory Index (CII) and Aspartate aminotransferase-Lymphocyte Ratio Index (ALRI) were evaluated to assess a correlation with progression-free survival (PFS) and overall survival (OS).

Results

In the overall population, PFS and OS were lower in patients with high SII (HR 1.64, p = 0.006 and HR 1.75, p = 0.004, respectively) and high ALRI (HR 2.13, p = 0.001 and HR 1.76, p = 0.02, respectively), but no difference was detected according to CII value. The multivariate analysis confirmed both SII and ALRI as independent prognostic factors for PFS (HR 1.64 and 2.82, respectively) and OS (HR 1.65 and 2.12, respectively).

Conclusion

Our results demonstrate and confirm that IIs, and in particular SII and ALRI, are easy to measure prognostic markers for patient candidates to first line chemotherapy plus Bev for mCRC.

Pro-Inflammatory Biomarkers Combined with Body Composition Display a Strong Association with Knee Osteoarthritis in a Community-Based Study

Knee osteoarthritis (KOA) is one of the most common progressive, age-dependent chronic degenerative joint diseases. KOA often develops as a result of a gradual articular cartilage loss caused by its wear and tear. Numerous studies suggest that the degradation of the knee joint involves inflammatory components. This process is also associated with body composition, particularly being overweight and muscle mass loss. The present study aimed to search for novel circulating KOA inflammatory biomarkers, taking into account body composition characteristics. To this aim, we recruited 98 patients diagnosed and radiologically confirmed with KOA and 519 healthy controls from the Arab community in Israel. A panel of soluble molecules, related to inflammatory, metabolic, and musculoskeletal disorders, was measured by ELISA in plasma samples, while several body composition parameters were assessed with bioimpedance analysis. Statistical analysis, including multivariable logistic regression, revealed a number of the factors significantly associated with KOA, independently of age and sex. The most significant independent associations [OR (95% CI)] were fat body mass/body weight index-1.56 (1.20-2.02), systemic immune-inflammation index-4.03 (2.23-7.27), circulating vaspin levels-1.39 (1.15-1.68), follistatin/FSTL1 ratio-1.32 (1.02-1.70), and activin A/FSTL1 ratio-1.33 (1.01-1.75). Further clinical studies are warranted to confirm the relevance of these KOA-associated biological factors. Hereafter, they could serve as reliable biomarkers for KOA in the general human population.

Can inflammatory indices predict sentinel lymph node status in patients with early-stage breast cancer?

Breast cancer research has focused on the early detection and treatment of breast cancer. Axillary lymph node status is essential for primary breast cancer staging, recurrence, and survival. The current quest for precision medicine is to identify predictive markers that offer the advantage of individualized treatment options. This study aimed to investigate the value of inflammatory indices in predicting positive sentinel nodes in breast cancer. We studied 602 patients with early-stage breast cancer who underwent sentinel lymph node biopsies (SLNB) at the Bülent Ecevit University General Surgery Clinic. We obtained data, including the clinical and demographic characteristics of the patients, such as age, histological type, and sentinel lymph nodes. Neutrophil, lymphocyte, platelet, and monocyte counts were obtained from preoperative complete blood count test data from the patient registry. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic inflammatory index (SII), and sentinel lymph node biopsy were analyzed. Sentinel LAP was negative in 391 (65%) patients and positive in 211 (35%). In the receiver operating characteristic curve analysis, no significant difference was found between SLNB positivity and negativity in terms of NLR, PLR, LMR, or SII. In contrast to previous research, NLR, PLR, LMR, or SII did not affect SLNB positivity prediction in our study.

Prognostic value of systemic immune-inflammation index in non-metastatic clear cell renal cell carcinoma with tumor thrombus

This study aims to determine the prognostic value of SII for non-metastatic clear cell renal cell carcinoma (ccRCC) patients with venous tumor thrombus (VTT). We retrospectively collected and analyzed 328 non-metastatic ccRCC patients with VTT who underwent radical nephrectomy and thrombectomy from 3 tertiary centers in China between 2011 to 2021. Kaplan-Meier analyses and Cox proportional hazard analyses were used to determine its prognostic value for overall survival (OS) and disease free survival (DFS). The Harrell concordance index (C-index), receiver operating characteristic curve (ROC) analysis, and decision curve analysis (DCA) were used to evaluate its role in the improvement of prognostic accuracy of the existing models. Nomogram models containing the SII were then developed and evaluated by R. Patients were divided into low-SII and high-SII groups based on the SII optimal cut-off value 912 calculated by the Youden index in all patients. Higher SII was correlated with more symptoms, longer surgical time, higher WHO/ISUP grade, and longer tumor diameter. Kaplan-Meier analyses revealed significant differences in OS and DFS between two groups. Multivariate analyses revealed that SII was an independent prognostic factor for OS (HR:2.220, p=0.002) and DFS (HR:1.846, p=0.002). Compared with other indicators, SII had a superior accuracy (c-index=0.630 for OS and 0.595 for DFS). It also improved the performance of models for predicting OS and DFS (all p <0.01). Based on the results of LASSO Cox regression analysis, we constructed a nomogram to predict OS and it performed well on both the training cohort (AUC=0.805) and the validation cohort (AUC=0.795). Risk stratification based on nomogram can distinguish patients with different risks (all p <0.001). Preoperative SII is an independent predictive factor for OS and DFS of non-metastatic ccRCC patients with VTT. It can be used to improve the performance of current risk models.

Role of inflammatory factors in prediction of Gleason score and its upgrading in localized prostate cancer patients after radical prostatectomy

Purpose

To investigate the role of inflammatory factors including systemic immune-inflammation index (SII) and neutrophil to lymphocyte ratio (NLR) in predicting Gleason Score (GS) and Gleason Score upgrading (GSU) in localized prostate cancer (PCa) after radical prostatectomy (RP).

Methods

The data of 297 patients who underwent prostate biopsy and RP in our center from January 2014 to March 2020 were retrospectively analyzed. Preoperative clinical characteristics including age, values of tPSA, total prostate volume (TPV), f/t PSA ratio, body mass index (BMI), biopsy GS and inflammatory factors including SII, NLR, lymphocyte to monocyte (LMR), neutrophil ratio (NR), platelet to lymphocyte ratio (PLR), lymphocyte ratio (LR), mean platelet volume (MPV) and red cell distribution (RDW) as well as pathological T (pT) stage were collected and compared according to the grades of RP GS (GS ≤ 6 and GS≥7), respectively. ROC curve analysis was used to confirm the discriminative ability of inflammatory factors including SII, NLR and their combination with tPSA for predicting GS and GSU. By using univariate and multivariate logistic regression analysis, the association between significant inflammatory markers and grades of GS were evaluated.

Results

Patients enrolled were divided into low (GS ≤ 6) and high (GS≥7) groups by the grades of GS. The median values of clinical factors were 66.08 ± 6.04 years for age, 36.62 ± 23.15 mL for TPV, 26.16 ± 33.59 ng/mL for tPSA and 0.15 ± 0.25 for f/t PSA ratio, 22.34 ± 3.14 kg/m² for BMI, 15 (5.1%) were pT1, 116 (39.1%) were pT2 and 166 (55.9%) were pT3. According to the student's t test, patients in high GS group had a greater proportion of patients with pT3 (P<0.001), and higher NLR (P=0.04), SII (P=0.037) and tPSA (P=0.015) compared with low GS group, the distribution of age, TPV, f/t PSA ratio, BMI, LMR, NR, PLR, LR, MPV and RDW did not show any significantly statistical differences. The AUC for SII, NLR and tPSA was 0.732 (P=0.007), 0.649 (P=0.045) and 0.711 (P=0.015), with threshold values of 51l.08, 2.3 and 10.31ng/mL, respectively. According to the multivariable logistic regression models, NLR ≥ 2.3 (OR, 2.463; 95% CI, 0.679-10.469, P=0.042), SII ≥ 511.08 (OR, 3.519; 95% CI 0.891-12.488; P=0.003) and tPSA ≥ 10.31 ng/mL (OR, 4.146; 95% CI, 1.12-15.35; P=0.033) were all independent risk factors associated with higher GS. The AUC for combination of SII, NLR with tPSA was 0.758 (P=0.003) and 0.756 (P=0.003), respectively. GSU was observed in a total of 48 patients with GS ≤ 6 (55.17%). Then patients were divided into 2 groups (high and low) according to the threshold value of SII, NLR, tPSA, SII+tPSA and NLR+tPSA, respectively, when the GSU rates were compared with regard to these factors, GSU rate in high level group was significantly higher than that in low level group, P=0.001, 0.044, 0.017, <0.001 and <0.001, respectively.

Conclusion

High SII, NLR and tPSA were associated with higher GS and higher GSU rate. SII was likely to be a more favorable biomarker for it had the largest AUC area compared with tPSA and NLR; the combination of SII or NLR with tPSA had greater values for predicting GS and GSU compared with NLR, SII or tPSA alone, since the AUC area of combination was much higher. SII, NLR were all useful inflammatory biomarkers for predicting GS and detecting GSU among localized PCa patients with biopsy GS ≤ 6.

Pre-treatment systemic immune-inflammation index as a non-invasive biomarker for predicting clinical outcomes in patients with renal cell carcinoma: a meta-analysis of 20 studies

INTRODUCTION

To systematically assess the predictive significance of systemic immune-inflammation index (SII) in renal cell carcinoma (RCC).

METHODS

Relevant studies published before November 2022 were retrieved from public databases. Hazard ratio (HR), standardised mean difference (SMD) and relative risk (RR) were calculated to estimate associations of SII with prognosis, treatment responses and clinicopathological features.

RESULTS

Twenty studies involving 6887 patients were eligible. The meta-analysis results revealed a high SII level was associated with worse overall survival (HR: 1.45, p < 0.001), progression-free survival (HR: 1.63, p = 0.001), cancer-specific survival (HR: 1.86, p < 0.001), lower overall response rate (RR: 0.62, p = 0.003), disease control rate (RR: 0.69, p = 0.002), larger tumour size (SMD: 0.39, p = 0.001), poorer IMDC risk (RR: 7.09, p < 0.001), higher Fuhrman grade (RR: 1.54, p = 0.004), tumour stage (RR: 1.67, p = 0.045), the presence of distant metastasis (brain: RR, 2.04, p = 0.001; bone: RR, 1.33, p = 0.024) and tumour necrosis (RR: 1.57, p = 0.031). Subgroup analysis showed SII predicted OS and PFS for non-Asian, but CSS for both Asian and non-Asian populations.

CONCLUSION

Pre-treatment SII may be a promising predictor of clinical outcomes for RCC patients.

Prognostic value of blood cell count-derived ratios in BRAF-mutated metastatic melanoma

BACKGROUND

The treatment and prognosis of metastatic melanoma have changed during the last decade to include immunotherapy or targeted therapy as standard therapeutic options for BRAF-mutated melanoma. However, predictive and/or prognostic markers are lacking, especially in clinical situations where several options are available. The aim of this study was to determine the association of pre-therapeutic blood cell count-derived ratios (BCDR) with survival in patients with BRAF-mutated metastatic melanoma.

METHODS

We evaluated the prognostic role of BCDR in therapy-naïve patients with BRAF-mutated metastatic melanoma treated with immune checkpoint inhibitors or targeted therapy. The impact of BCDR on survival was analysed using univariate and multivariate Cox proportional hazard models.

RESULTS

We enrolled 46 patients treated with BRAF inhibitors and 20 patients who received anti-PD-1 checkpoint inhibitors. The median progression-free survival (PFS) and overall survival (OS) were 8.3 and 18.2 months, respectively, with no statistical difference between groups. The objective response rate was 39% (30% in the anti-PD-1 and 44% in the targeted therapy groups). Baseline BCDR values were associated with improved PFS and OS in the immunotherapy group. Only the platelet-to-lymphocyte ratio (PLR) was associated with OS and PFS in the targeted therapy group. Independent prognostic indicators for PFS were lactate dehydrogenase, PLR and the lymphocyte-to-monocyte ratio (LMR) and those for OS were LMR, toxicity and the number of initial metastases.

CONCLUSION

BCDR had a substantial prognostic value in patients with BRAF-mutated metastatic melanoma treated with immune checkpoint inhibitors. However, a prognostic role for BCDR seemed less apparent in patients treated with targeted therapies.

The Systemic Immune-Inflammation Index May Predict the Coronary Slow Flow Better Than High-Sensitivity C-Reactive Protein in Patients Undergoing Elective Coronary Angiography

Methods

A total of 197 patients (102 patients with CSF; 95 patients with normal coronary flow) were included in this retrospective study. Clinical and angiographic characteristics of patients were obtained from hospital records.

Results

Patients with CSF had higher SII, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte (PLR), and high-sensitivity C-reactive protein (hsCRP) levels compared with the control group. Body mass index (p=0.022, OR 1.151, 95% CI 1.121–1.299), low-density lipoprotein (p=0.018, OR 1.028, 95% CI 1.005–1.052), hsCRP (p=0.044, OR 1.161, 95% CI 1.004–1.343), and SII (p < 0.001, OR 1.015, 95% CI 1.003–1.026) were independent predictors of CSF in the multivariable analysis. The optimal cutoff value of SII in predicting CSF was >877 in ROC curve analysis (p < 0.001, AUC = 0.892, 95% CI 0.848–0.936). This cutoff value of SII predicted the CSF with a sensitivity of 71.5% and specificity of 92.4%. Spearman correlation analysis showed a positive correlation between the mean TFC value and PLR, NLR, hsCRP, and SII.

Conclusions

SII may be used as a better indicator for the prediction of CSF than hsCRP.

Real-life analysis of treatment approaches and the role of inflammatory markers on survival in patients with advanced biliary tract cancer

OBJECTIVES

Advanced-stage biliary tract cancers (BTC) are rare malignancies with poor prognosis. There are few prospective trials, but several retrospective studies regarding treatment options. In this study, we aimed to investigate the role of systemic inflammatory parameters (SIP) and other possible independent factors that may affect survival and treatment approaches and to determine the benefit of later-line treatments in these patients.

METHODS

A total of 284 patients, initially diagnosed with advanced stage or progressed after curative treatment of BTC, from different oncology centers in Turkey were included in this retrospective study. The prognostic significance of clinicopathological factors, SIPs and treatment options was analyzed.

RESULTS

At a median follow-up of 13 months, the median progression-free survival (PFS) was 6.1 months (95% CI:5.51-6.82), and the median overall survival (OS) time was 16.8 months (95% CI: 13.9-19.6). Treatment choice (p < .001 HR:0.70 CI95% 0.55-0.9), performance status (p < .001 HR:2.74 CI 95% 2.12-3.54) and neutrophil-to-lymphocyte ratio (NLR) (p = .02 HR:1.38 CI 95% 1.03-1.84) were independent prognostic factors for PFS. For OS, the independent prognostic indicators were determined as The Eastern Cooperative Oncology Group Performance Status (ECOG PS) (p < .001 HR:1.78 CI 95% 1.5-2.3), Systemic Immune-inflammation Index (SII) (p < .001 HR:0.51 CI95% 0.36-0.73) and stage at diagnosis (p = .002 HR:1.79 CI 95% 1.24-2.59). Furthermore, second and third line treatments significantly prolonged OS in advanced BTC (p < .001 HR:0.55 CI 95% 0.38-0.79; p = .007 HR:0.51 CI95% 0.31-0.83, respectively).

CONCLUSION

SII and NLR are useful prognostic factors and may be helpful in making treatment decisions. Additionally, second and later-line treatments in advanced BTC have a significant impact on survival under real-life conditions.

Comparison of Hematological Parameters Between First-Episode Schizophrenia and Anti-NMDAR Encephalitis

Background: First-episode schizophrenia (FES) and anti-NMDAR encephalitis are different disorders with similar psychiatric symptoms, and both diseases are associated with the inflammatory system. In this study, we compared hematological parameters and inflammation ratios in anti-NMDAR encephalitis, FES, and healthy control.

Methods: We enrolled 106 patients (53 FES patients and 53 anti-NMDAR encephalitis patients) and 59 healthy controls. The values of the neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), monocyte–lymphocyte ratio (MLR), and systemic immune-inflammation index (SII) were used to evaluate inflammation. Other parameters such as the white blood cell (WBC), platelet (PLT), uric acid (UA), total bilirubin (TBIL), total bile acid (TBA), and serum albumin counts were also used to compare inflammation ratios between these two diseases.

Results: SII, NLR, PLR, MLR, and serum albumin levels were statistically significantly different between these three groups (p < 0.05). The values of SII, NLR, PLR, and MLR were significantly higher in the anti-NMDAR encephalitis group than those in the FES group (p < 0.05), and the values in both diseases were more increased than those in HC (p < 0.05). The serum albumin level was significantly lower in anti-NMDAR encephalitis than in FES (p < 0.05). WBC, neutrophil, lymphocyte, and monocyte counts showed significantly higher levels in the anti-NMDAR encephalitis group and FES group separately (p < 0.05). Other parameters like TBA, TBIL, and UA showed no difference between groups.

Conclusion: In summary, this is a relatively new study that is innovative by comparing some inflammation markers of peripheral blood in two diseases with clinically psychotic symptoms. These two diseases are related to the inflammatory system, proving that NMDAR dysfunction is related to psychotic symptoms. Besides, NLR, PLR, MLR, and serum albumin can be used as biomarkers to distinguish the two diseases. The serum albumin level in patients with anti-NMDAR encephalitis was lower than that in patients with schizophrenia.

Predictive evaluation of SIRI, SII, PNI, and GPS in cholecystostomy application in patients with acute cholecystitis

BACKGROUND

The aims of this study were to investigate the clinical significance of systemic inflammatory response index (SIRI), systemic inflammation index (SII), prognostic nutritional index (PNI), and Glasgow prognostic score (GPS) in deciding whether to perform cholecystostomy when determining if cholecystostomy is the right choice for acute cholecystitis (AC) patients.

METHODS

Between January 2018 and December 2020, 126 consecutive patients with AC with and without cholecystostomy were retrospectively recruited from the Trakya University in Edirne, Turkey. Group I included AC patients with cholecystostomy and Group II included AC patients without cholecystostomy. The neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), and lymphocyte/monocyte ratio (LMR) were calculated. The PNI and SII were calculated RESULTS: There is significant difference between the two groups by the comparison of SIRI, SII, PNI, and GPS values (p<0.001). In Group I, SIRI, SII, and GPS values are higher than the Group II and PNI value in Group I is lower than the Group II. Furthermore, the NLR and PLR ratios in Group I are significantly higher than Group II, and the LMR ratio in Group I is significantly lower than Group II.

CONCLUSION

According to our study, we can say that NLR, PLR, SII, SIRI, and GPS are positive predictors and LMR and PNI are negative predictors for the severity of AC. Therefore, when we decide to treat AC medically, we may prefer the application of chole-cystostomy tube at the beginning of hospitalization by the help of evaluating NLR, PLR, LMR, SIRI, SII, GPS, and PNI values.

Inflammatory Biomarkers for Outcome Prediction in Patients With Metastatic Testicular Cancer

Germ cell tumors are the most common malignant tumors in male young adults. Platinum-based chemotherapy has dramatically improved the outcome of metastatic germ cell tumor patients and overall cure rates now exceed 80%. The choice of medical treatment can be guided by the prognosis estimation which is an important step during the decision-making process. IGCCCG classification plays a pivotal role in the management of advanced disease. However, histological and clinical parameters are the available factors that condition the prognosis, but they do not reflect the tumor's molecular and pathological features and do not predict who will respond to chemotherapy. After first-line chemotherapy 20%-30% of patients relapse and for these patients, the issue of prognostic factors is far more complex. Validated biomarkers and a molecular selection of patients that reflect the pathogenesis are highly needed. The association between cancer-related systemic inflammation, tumorigenesis, and cancer progression has been demonstrated. In the last years, several studies have shown the prognostic utility of immune-inflammation indexes in different tumor types. This review analyzed the prognostic impact of inflammatory markers retrieved from routine blood draws in GCT patients.

The Values of Systemic Immune-Inflammation Index and Neutrophil-Lymphocyte Ratio in Predicting Biochemical Recurrence in Patients With Localized Prostate Cancer After Radical Prostatectomy

Purpose

To investigate the association between preoperative systemic immune-inflammation index (SII) and neutrophil-lymphocyte ratio (NLR) and oncological outcomes in localized prostate cancer (PCa) patients after radical prostatectomy (RP).

Methods

Between January 2014 and December 2019, 291 patients with pathologically confirmed localized PCa who underwent RP were included in this study. The threshold values of SII and NLR for biochemical recurrence (BCR) were calculated according to Youden's index based on the receiver operating characteristic (ROC) curve, then the patients were divided into two groups by the threshold values of SII and NLR, and the clinicopathological outcomes were analyzed and compared between groups, respectively. The binary logistic regression model was used to evaluate the association between SII, NLR, and pathological outcomes including Gleason score (GS) and pathological T (pT) stage. Kaplan-Meier curves and univariable and multivariable Cox regression models were used to determine the association between high SII, high NLR, and BCR-free survival, respectively.

Results

The median follow-up time was 48 months (IQR 36-62), and 114 (39.18%) patients developed BCR. The AUC of SII for BCR was 0.813 (P < 0.001), with a threshold value of 528.54, a sensitivity of 72.9%, and a specificity of 76.3%; the AUC of NLR for BCR was 0.824 (P < 0.001), with a threshold value of 2.62, a sensitivity of 71.2%, and a specificity of 81.6%. Patients were divided into two groups according to the threshold values of SII and NLR, respectively. Patients in the high SII group had higher tPSA, GS, pT stage, and BCR rate than patients in the low SII group (P = 0.004, 0.04, 0.007, and <0.001, respectively), and patients in the high NLR group had higher tPSA, GS, pT stage, and BCR rate than patients in the low NLR group (P = 0.04, 0.02, 0.006, and <0.001, respectively). Multivariable logistic regression analysis revealed that high SII was significantly correlated with adverse pathological outcomes of GS (HR, 1.656; 95% CI, 1.00-2.742, P = 0.042) and pT stage (HR, 1.478; 95% CI, 0.972-3.64, P = 0.028); there was no association between high NLR and pathological events. Kaplan-Meier analysis showed significantly poorer BCR-free survival in patients with high SII or high NLR (P < 0.001 and <0.001, respectively). By using the multivariable Cox regression model, high SII (HR, 4.521; 95% CI, 2.262-9.037, P < 0.001) and high NLR (HR, 4.787; 95% CI, 2.339-9.798, P < 0.001) were both significant predictors of BCR after RP.

Conclusion

High SII was significantly related to unfavorable clinicopathological outcomes. High preoperative SII and NLR were related to higher BCR rate in localized PCa after RP, and they were all independent risk factors associated with shorter BCR-free survival. These two factors might provide promising and inexpensive methods for predicting clinical outcomes in patients with RP.

Role of the Systemic Immune-Inflammation Index in Patients with Metastatic Renal Cell Carcinoma Treated with First-Line Ipilimumab plus Nivolumab

Background: The aim of this study was to evaluate the predictive and prognostic value of the systemic immune-inflammation index (SII) in patients with metastatic renal cell carcinoma (mRCC) treated with first-line ipilimumab plus nivolumab. Methods: This retrospective study included forty-nine mRCC patients treated with first-line ipilimumab plus nivolumab at the Department of Urology of the University of Tuebingen, Germany. SII was assessed before starting ipilimumab plus nivolumab therapy at the time of first imaging and at tumor progression. Optimal SII cut-off was stratified by ROC-analysis. Univariable and multivariable Cox regression analyses were used to evaluate the predictive and prognostic value of SII. Results: Optimal SII cut-off was 788. Twenty-nine/forty-nine patients had high SII (≥788) before initiation of ipilimumab plus nivolumab. High SII was an independent prognostic factor for worse progression-free (HR 2.70, p = 0.014) and overall survival (HR 10.53, p = 0.025). The clinical benefit rate was higher for patients with low SII if compared to high SII (80% vs. 32.1%). An increase in SII > 20% from baseline after twelve weeks of therapy was associated with progression at first imaging (p = 0.003). Conclusions: SII is both prognostic and predictive and could refine decision making in patients with unclear imaging on therapy with ipilimumab plus nivolumab.

Relationship between SIRI, SII values, and Alvarado score with complications of acute appendicitis during the COVID-19 pandemic

BACKGROUND

The aim of the study was to investigate the clinical variations of Systemic Inflammatory Response Index (SIRI), Systemic Inflammation Index (SII), and Alvarado Score during the COVID-19 pandemic period.

METHODS

Between March 2019 and March 2021, 161 consecutive patients who had surgery due to acute appendicitis were ret-rospectively recruited from Trakya University in Edirne, Turkey. Group I included patients who had surgery during the COVID-19 pandemic and Group II included patients who had surgery before the COVID-19 pandemic period. A total of 80 patients volunteered for Group I and 81 patients for Group II. The neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio, and lymphocyte/monocyte ratio were calculated. SII was calculated by the formula: platelet (P) × neutrophil (N)/lymphocyte (L). NLR was calculated by dividing the neutrophil count by the number of lymphocytes. SIRI was defined as follows: SIRI = (neutrophil × monocyte/lymphocyte). The Alvarado score was also calculated by using patient history, clinical examination, and laboratory findings.

RESULTS

There was a significant difference between the two groups in terms of displacing pain, nausea/vomiting, right lower quad-rant tenderness, rebound, hyperthermia, leukocytosis, and total Alvarado score (p<0.001). There was a significant difference between two groups in comparison of C-reactive protein, SIRI, and SII values (p<0.001). Group I patients had higher values of these parameters than Group II.

CONCLUSION

Based on the results obtained from this study, we conclude that COVID-19 pandemic has caused an increase in patients with acute appendicitis admitted to the hospital. This late diagnosis of acute appendicitis caused more complications during COVID-19 pandemic. Alvarado score, SIRI, and SII can be used as a marker to indicate whether complications of acute appendicitis occurred pre- or post-operatively. Therefore, Alvarado score, SIRI, and SII are directly proportional to the complication of acute appendicitis.

Selection and evaluation of preoperative systemic inflammatory response biomarkers model prior to cytoreductive nephrectomy using a machine-learning approach

INTRODUCTION

This study aimed to determine the prognostic value of a panel of SIR-biomarkers, relative to standard clinicopathological variables, to improve mRCC patient selection for cytoreductive nephrectomy (CN).

MATERIAL AND METHODS

A panel of preoperative SIR-biomarkers, including the albumin-globulin ratio (AGR), De Ritis ratio (DRR), and systemic immune-inflammation index (SII), was assessed in 613 patients treated with CN for mRCC. Patients were randomly divided into training and testing cohorts (65/35%). A machine learning-based variable selection approach (LASSO regression) was used for the fitting of the most informative, yet parsimonious multivariable models with respect to prognosis of cancer-specific survival (CSS). The discriminatory ability of the model was quantified using the C-index. After validation and calibration of the model, a nomogram was created, and decision curve analysis (DCA) was used to evaluate the clinical net benefit.

RESULTS

SIR-biomarkers were selected by the machine-learning process to be of high discriminatory power during the fitting of the model. Low AGR remained significantly associated with CSS in both training (HR 1.40, 95% CI 1.07-1.82, p = 0.01) and testing (HR 1.78, 95% CI 1.26-2.51, p = 0.01) cohorts. High levels of SII (HR 1.51, 95% CI 1.10-2.08, p = 0.01) and DRR (HR 1.41, 95% CI 1.01-1.96, p = 0.04) were associated with CSS only in the testing cohort. The exclusion of the SIR-biomarkers for the prognosis of CSS did not result in a significant decrease in C-index (- 0.9%) for the training cohort, while the exclusion of SIR-biomarkers led to a reduction in C-index in the testing cohort (- 5.8%). However, SIR-biomarkers only marginally increased the discriminatory ability of the respective model in comparison to the standard model.

CONCLUSION

Despite the high discriminatory ability during the fitting of the model with machine-learning approach, the panel of readily available blood-based SIR-biomarkers failed to add a clinical benefit beyond the standard model.

The Values of Systemic Immune-Inflammation Index and Neutrophil-Lymphocyte Ratio in the Localized Prostate Cancer and Benign Prostate Hyperplasia: A Retrospective Clinical Study

PURPOSE

To evaluate the diagnostic values of systemic immune-inflammation index (SII) and neutrophil-lymphocyte ratio (NLR) in patients with localized prostate cancer (PCa).

METHODS

Between January 2014 and December 2019, 117 patients with benign prostate hyperplasia (BPH) and 278 patients with localized PCa who underwent radical prostatectomy (RP) were included in this study. The inflammatory markers including SII, NLR, platelet-lymphocyte ratio (PLR), lymphocyte-monocyte ratio (LMR), lymphocyte ratio (LR), neutrophil ratio (NR), mean platelet volume (MPV), and red cell distribution (RDW) of these two groups were examined and analyzed. ROC curve analysis was performed to assess the discriminative ability of inflammatory markers and their combination with tPSA for PCa. The binary logistic regression model was used to evaluate the association between significant inflammatory markers and risk of PCa.

RESULTS

The pathological results from RP specimen comprised 72 (25.90%) patients with pT1, 168 (60.43%) patients with pT2, and 38 (13.67%) patients with pT3. According to Student's t test, patients with PCa had higher NLR (p = 0.034), SII (p = 0.008), and NR (p = 0.004), and lower LR (p = 0.025), MPV (p = 0.003), and TPV (p = 0.022) compared with patients with BPH; the distribution of age, PLR, LMR, RDW, f/t PSA ratio, and BMI did not show any significant differences. The AUC for NLR, SII, NR, and tPSA was 0.697 (p = 0.015), 0.719 (p < 0.001), 0.647 (p = 0.009), and 0.708 (p < 0.001), with threshold values of 1.6, 471.86, 65.15%, and 12.89 ng/ml, respectively. Patients were divided into two groups according to the threshold values, respectively. By using the multivariable logistic regression models, NLR ≥ 1.6 (OR, 2.731; 95% CI, 0.937-7.961, p = 0.042), SII ≥ 471.86 (OR, 1.274; 95% CI 0.473-3.433; p = 0.033), and PSA ≥ 12.89 ng/ml (OR, 1.443; 95% CI, 0.628-3.944; p = 0.014) were independent risk factors associated with PCa. The AUC for combination of NLR, SII, and NR with tPSA was 0.705 (p < 0.001), 0.725 (p < 0.001), and 0.704 (p < 0.001), respectively.

CONCLUSION

This study demonstrated that SII, NLR, and NR were all independent risk factors of PCa. These factors alone could provide better screen methods for PCa before biopsy. In addition, SII is a more powerful tool among these three inflammatory markers associated with PCa. Besides, combination of SII and NLR with tPSA had not much advantage compared with themselves alone.

Current and future perspectives on CAR-T cell therapy for renal cell carcinoma: A comprehensive review

In the clinical setting of renal cell carcinoma (RCC), immune reactions such as tumor-specific T cell responses can be spontaneous events or can be elicited by checkpoint inhibitors, cytokines, and other immunotherapy modalities. The results from immunotherapy have led to significant advances in treatment methods and patient outcomes. The approval of nivolumab primarily as a second-line monotherapy and the latest approval of novel combination therapies as first-line treatment have established the significance of immunotherapy in the treatment of RCC. In this perspective, chimeric antigen receptor (CAR)-T cell therapy represents a major advance in the developing field of immunotherapy. This treatment modality facilitates T cells to express specific CARs on the cell surface which are reinfused to the patient to treat the analogous tumor cells. After showing treatment potential in hematological malignancies, this new therapeutic approach has become a strong candidate as a therapeutic modality for solid neoplasms. Although CAR-T cell therapy has shown promise and clinical benefit compared to previous T-cell modulated immunotherapies, further studies are warranted to overcome unfavorable physiological settings and hindrances such as the lack of specific molecular targets, depletion of CAR-T cells, a hostile tumor microenvironment, and on/off-tumor toxicities. Several approaches are being considered and research is ongoing to overcome these problems. In this comprehensive review, we provide the rationale and preliminary results of CAR-T cell therapy in RCC and discuss emerging novel strategies and future directions.

Prognostic and Clinicopathological Significance of the Systemic Immune-Inflammation Index in Patients With Renal Cell Carcinoma: A Meta-Analysis

Background

The systemic immune-inflammation index (SII) is a hematological parameter based on neutrophil, platelet, and lymphocyte counts. Studies that have investigated the prognostic value of SII in patients with renal cell carcinoma (RCC) have reported controversial results. In this study, we systematically investigated the prognostic value of SII in patients with RCC.

Methods

We systematically searched English articles in the PubMed, Embase, Web of Science, and Cochrane Library databases up to October 2021. Hazard ratios (HRs) and odds ratios (ORs) with 95% confidence intervals (CIs) were used to obtain pooled results.

Results

The meta-analysis included 10 studies that enrolled 3,180 patients. A high SII was associated with poor overall survival (HR 1.75, 95% CI 1.33–2.30, p<0.001) in patients with RCC. However, a high SII was not shown to be a significant prognostic factor for progression-free survival/disease-free survival (HR 1.22, 95% CI 0.84–1.76, p=0.293) or poor cancer-specific survival (HR 1.46, 95% CI 0.68–3.12, p=0.332) in patients with RCC. A high SII was correlated with male sex (OR 1.51, 95% CI 1.11–2.04, p=0.008), Fuhrman grade G3–G4 (OR 1.80, 95% CI 1.08–3.00, p=0.024), and poor risk based on the International Metastatic Renal Cell Carcinoma Database Consortium criteria (OR 19.12, 95% CI 9.13–40.06, p<0.001).

Conclusion

A high SII was independently associated with poor survival outcomes in patients with RCC. Additionally, an elevated SII indicated more aggressive disease. The SII may serve as a useful cost-effective prognostic indicator in patients with RCC.

Systemic immune-inflammation index is a promising non-invasive biomarker for predicting the survival of urinary system cancers: a systematic review and meta-analysis

OBJECTIVE

Systemic immune-inflammation index (SII) has been reported in numerous studies to effectively predict the survival outcomes of urinary system cancers; however no agreement has been reached. This meta-analysis aimed to explore the prognostic significance of pre-treatment SII in tumours of the urinary system.

METHODS

Relevant published articles were selected from Web of Science, PubMed, Embase, and the Cochrane Library up to 30 August 2020. The hazard ratios (HRs) with 95% confidence intervals (CIs) were computed to estimate the associations of pre-treatment SII with overall survival (OS), progression-free survival (PFS), cancer-specific survival (CSS) in urinary system cancers.

RESULTS

13 papers were included in our meta-analysis. From the combined data, we found that a high pre-treatment SII indicated a markedly worse OS (HR = 1.98; 95% CI: 1.75-2.23; p < .001), PFS (HR: 2.08; 95% CI: 1.32-3.26; p = .002), and CSS (HR: 2.41, 95% CI: 1.73-3.35, p < .001). Additionally, patients with an elevated SII value might have undesirable pathological characteristics, including a large tumour size, a poor differentiation grade, and an advanced tumour stage (all p < .001).

CONCLUSIONS

Pre-treatment SII could be used as a non-invasive and promising biomarker to indicate the prognosis of urinary system cancer patients.KEY MESSAGES:This meta-analysis evaluates the predictive value of systemic immune-inflammation index (SII) for patients with urinary system cancer.A high pre-treatment SII indicates a poor prognosis.SII can serve as a promising non-invasive biomarker to help clinicians assess the prognosis and develop treatment strategies for urinary system cancer patients.

Usefulness of Preoperative High Systemic Immune-Inflammation Index as a Prognostic Biomarker in Patients Who Undergo Radical Cystectomy for Bladder Cancer: Multicenter Analysis

Evidence of the prognostic value of pretreatment systemic immune-inflammation index (SII) after radical cystectomy (RC) for bladder cancer is limited. This study aims to assess the association between preoperative SII and prognosis after RC for bladder cancer. In this multicenter retrospective study, we calculated preoperative SII as well as the neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) in 237 patients who underwent RC for bladder cancer between March 2009 and March 2018. Patients were classified into high SII and low SII groups by using the optimal cutoff value (438 × 10⁹/L) based on receiver operating characteristic curve analysis for cancer-specific death. We compared cancer-specific survival (CSS) and overall survival (OS) between the two groups. To evaluate the prognostic impact of preoperative SII, we also performed Cox proportional regression analyses for CSS and OS. Of 237 patients, 127 patients were classified into the high SII group and 110 patients into the low SII group. During the follow-up period, 70 patients died of bladder cancer (30%) and 21 patients died from other causes (9%). Patients with high SII had significantly lower rates of CSS and OS than those with low SII (p < 0.01 and p < 0.01, respectively). Multivariable Cox proportional hazard analysis showed that high SII was independently associated with poor CSS (p = 0.01) and poor OS (p < 0.01). In conclusion, high SII could be an independent significant predictor of poor prognosis after RC in patients with bladder cancer.

Systemic immune inflammation index, ratio of lymphocytes to monocytes, lactate dehydrogenase and prognosis of diffuse large B-cell lymphoma patients

BACKGROUND

In malignant tumors, inflammation plays a vital role in the development, invasion, and metastasis of cancer cells. Diffuse large B-cell lymphoma (DLBCL), the most common malignant proliferative disease of the lymphatic system, is commonly associated with inflammation. The international prognostic index (IPI), which includes age, lactate dehydrogenase (LDH), number of extranodal lesions, Ann Arbor score, and Eastern Cooperative Oncology Group (ECOG) score, can evaluate the prognosis of DLBCL. However, its use in accurately identifying high-risk patients and guiding treatment is poor. Therefore, it is important to find novel immune markers in predicting the prognosis of DLBCL patients.

AIM

To determine the association between the systemic immune inflammation index (SII), ratio of lymphocytes to monocytes (LMR), ratio of LMR to LDH (LMR/LDH), and prognosis of patients with DLBCL.

METHODS

A total of 68 patients diagnosed with DLBCL, treated in our hospital between January 2016 and January 2020, were included. χ² test, Pearson’s R correlation, Kaplan Meier curves, and Cox proportional risk regression analysis were used. The differences in the SII, LMR, and LMR/LDH among patients with different clinicopathological features were analyzed. The differences in progression-free survival time among patients with different SII, LMR, and LMR/LDH expressions and influencing factors affecting the prognosis of DLBCL patients, were also analyzed.

RESULTS

The LMR and LMR/LDH in patients with Ann Arbor stage III–IV, ECOG score ≥ 2, and SII, IPI score 2–5 were significantly higher than those of patients with Ann Arbor stage I-II and ECOG score < 2 (P < 0.05). Patients with high SII, LMR, and LMR/LDH had progression-free survival times of 34 mo (95%CI: 32.52–38.50), 35 mo (95%CI: 33.42–36.58) and 35 mo (95%CI: 33.49–36.51), respectively, which were significantly lower than those with low SII, LMR, and LMR/LDH (P < 0.05); the SII, LMR, and LMR/LDH were positively correlated (P < 0.05). Cox proportional risk regression analysis showed that the SII, LMR, and LMR/LDH were influencing factors for the prognosis of DLBCL patients (hazard ratio = 1.143, 1.665, and 1.704, respectively; P < 0.05).

CONCLUSION

The SII, LMR, and LMR/LDH are related to the clinicopathological features of DLCBL, and they also influence the prognosis of patients with the disease.

Utility of Neutrophil-to-Lymphocyte Ratio, Platelet-to-Lymphocyte Ratio, and Systemic Immune Inflammation Index as Prognostic, Predictive Biomarkers in Patients with Metastatic Renal Cell Carcinoma Treated with Nivolumab and Ipilimumab

The aim of this study was to assess the utility of neutrophil-to-lymphocyte ratio (NLR), plate-let-to-lymphocyte ratio (PLR), and systemic immune inflammation index (SII) as predictive biomarkers with oncological outcomes for metastatic renal cell carcinoma (mRCC) patients treated with nivolumab and ipilimumab (NIVO + IPI). We conducted a retrospective multicenter cohort study assessing patients with mRCC treated with NIVO + IPI at eight institutions in Japan. In this study, the follow-up period was median 14 months. The 1-year overall- and progression-free survival (PFS) rates were 89.1% and 63.1, respectively. The objective response rate (ORR) and disease control rate (DCR) were 41.9% and 81.4%, respectively. The 1-year PFS rates were 85.7% and 49.1% for NLR ≤ 2.8 and >2.8, respectively (p = 0.005), and 75.5% and 49.7% for PLR ≤ 215.6 and >215.6, respectively (p = 0.034). Regarding SII, the 1-year PFS rates were 90.0% and 54.8% when SII was ≤561.7 and >561.7, respectively (p = 0.023). Therefore, NLR, PLR, and SII levels in mRCC patients treated with NIVO + IPI may be useful in predicting oncological outcomes.

Prognostic significance of hemoglobin-to-red cell distribution width ratio in patients with metastatic renal cancer

The aim of the current research was to investigate the prognostic significance of pretreatment hemoglobin-to-red cell distribution width ratio (HRR) in patients with renal cell carcinoma (RCC). The neutrophil-to-lymphocyte ratio, systemic immune-inflammation index, lymphocyte-to-monocyte ratio (LMR) and HRR were analyzed retrospectively to assess their prognostic value using Kaplan-Meier curves and Cox regression analysis in 198 patients with RCC. High HRR (0.72) and high LMR (2.43) were found to be associated with longer progression-free survival and overall survival. A multivariate analysis identified International Metastatic Renal Cell Carcinoma Database Consortium prognostic score, tumor stage, node stage, LMR and HRR as independent prognostic factors for progression-free survival, as well as International Metastatic Renal Cell Carcinoma Database Consortium score, neutrophil-to-lymphocyte ratio and HRR for overall survival. HRR is a an independent prognostic parameter predicting the progression and survival of patients with RCC.

Prognostic significance of the systemic immune-inflammation index in pancreatic carcinoma patients: A meta-analysis

Background: Systemic immune-inflammation index (SII) is a prognostic indicator for several malignancies, including pancreatic carcinoma; however, there is no consensus on its significance. In the current study, a systematic meta-analysis was used to explore the correlation between SII and prognosis in pancreatic carcinoma patients.

Methods: PubMed, Embase and Cochrane Library databases were screened from inception to May 2020. Studies describing the prognostic role of SII in pancreatic carcinoma were then retrieved. The pooled hazard ratio (HR) and 95% confidence interval (CI) was calculated using random- or fixed-effects models to determine the correlation between SII and prognosis.

Results: A total of four studies, comprising 1749 patients, met the inclusion criteria of the study and were therefore included in this meta-analysis. The meta-analysis showed that high SII indicated was correlated with worse overall survival (OS) in patients with pancreatic carcinoma (HR: 1.43, 95% CI: 1.24–1.65, P<0.001). These findings were validated through subgroup analyses, stratified by the American Joint Committee on Cancer (AJCC) stage. In addition, patients with high SII showed poorer cancer-specific survival (HR: 2.32, 95% CI: 1.55–3.48, P<0.001). However, analysis showed no significant correlations between SII and disease-free and relapse-free survival (RFS).

Conclusion: These findings indicate that SII is a potential non-invasive and a promising tool for predicting clinical outcomes of pancreatic carcinoma patients. However, the current research did not explore whether neoadjuvant therapy has an effect on the prognostic value of SII. Further studies using adequate designs and larger sample sizes are required to validate these findings.

The prognostic value of inflammation markers in postoperative gliomas with or without adjuvant treatments

Recent studies have shown that some inflammatory markers are associated with the prognosis of solid tumors. This study aims to evaluate the prognosis of glioma patients with or without adjuvant treatment using the systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR).All patients who were diagnosed with gliomas at the first and second affiliated hospital of Guangxi Medical University between 2011 and 2020 were included in this study. The optimal cutoff value of SII, NLR, and PLR was determined by X-tile software program. We stratified patients into several groups and evaluated the progression-free survival (PFS) and overall survival (OS) of SII, NLR, and PLR during the period of pre-surgical, con-chemoradiotherapy, and post-treatments. Multivariate Cox regression analyses were performed to detect the relationships between OS, PFS, and prognostic variables.A total of 67 gliomas patients were enrolled in the study. The cutoff values of SII, NLR, and PLR were 781.5 × 109/L, 2.9 × 109/L, and 123.2 × 109/L, respectively. Patients who are pre-SII < 781.5 × 109/L had better PFS (P = .027), but no difference in OS. In addition, patients who had low pre-NLR (<2.9 × 109/L) meant better OS and PFS. PLR after adjuvant treatments (post-PLR) was significantly higher than pre-PLR (P = .035). Multivariate analyses revealed that pre-SII, pre-NLR were independent prognostic factors for OS (pre-SII: HR 1.002, 95% CI: 1.000-1.005, P = .030 and pre-PLR: HR 0.983, 95% CI: 0.973-0.994, P = .001), while pre-PLR was an independent factor for PFS (HR 0.989, 95% CI: 0.979-1.000, P = .041).High pre-SII or high pre-NLR could be prognostic markers to identify glioma patients who had a poor prognosis.

Diagnostic efficiency of systemic immune-inflammation index in fusion prostate biopsy

OBJECTIVE

To investigate the diagnostic efficiency of systemic immune response (SII) in prostate cancer (PCa) in patients with PSA < 10 ng/mL undergoing fusion prostate biopsy.

METHODS

The prospective study included patients who were planned for fusion prostate biopsy and had PSA < 10 ng/mL and a PI-RADS ≥ 3. All the patients underwent 12-core standard transrectal prostate biopsy followed targeted biopsy (combined biopsy). Based on preoperative complete blood count parameters, SII was calculated using the following formula: SII = platelet × neutrophil-to-lymphocyte ratio. Correlations between PI-RADS score, platelet, neutrophil-to-lymphocyte ratio, PSA, PSA density, SII and PCa were determined using ROC curve analysis. Optimal cut-off values were determined using the maximum Youden Index (defined as: sensitivity + specificity - 1).

RESULTS

The study included 508 patients with a mean age of 62.49 ± 6.86 years and a median PSA level of 7.28 (5.69-8.70) ng/mL. The overall clinically significant PCa rate was 39.4%. Although SII had no significant diagnostic value in PCa patients with low ISUP grades (grade 1 and 2) (AUC = 0.487, P = 0.622), it was revealed as a significant marker in PCa patients with an ISUP grade ≥ 3 (AUC = 0.811, P < 0.001). The cut-off value of SII was 533.0. While the combination of SII with PI-RADS score is the most effective marker, neutrophil-to-lymphocyte ratio and platelet were also revealed as effective markers in predicting ISUP grade 3-5 PCa, though not as effective as SII.

CONCLUSION

SII and SII combination with PI-RADS score appear to be a significant diagnostic marker in patients with high-grade PCa (ISUP grade 3-5). These values were found to be higher compared to those of patients with a benign pathology and patients with lower ISUP scores.

Prognostic effect of preoperative systemic immune-inflammation index in patients treated with cytoreductive nephrectomy for metastatic renal cell carcinoma

BACKGROUND

Identifying those of patients with metastatic renal cell carcinoma (mRCC) who are most likely to benefit from cytoreductive nephrectomy (CN) is challenging. We tested the association between preoperative value of systemic immune-inflammation index (SII) and overall survival (OS) as well as cancer-specific survival (CSS) in mRCC patients treated with CN.

METHODS

mRCC patients treated with CN at different institutions were included. After assessing for the optimal pretreatment SII cut-off value, we found 710 to have the maximum Youden index value. The overall population was therefore divided into two SII groups using this cut-off (low, <710 vs high, ≥710). Univariable and multivariable Cox regression analyses tested the association SII and OS as well as CSS. The discrimination of the model was evaluated with the Harrel's concordance index (C-index). The clinical value of the SII was evaluated with decision curve analysis (DCA).

RESULTS

Among 613 mRCC patients, 298 (49%) patients had a SII ≥ 710. Median follow-up was 31 (IQR 16-58) months. On univariable analysis, high preoperative serum SII was significantly associated with worse OS (HR: 1.28, 95%CI: 1.07-1.54, p=0.01) and CSS (HR: 1.29, 95%CI: 1.08-1.55, p=0.01). On multivariable analysis, which adjusted for the effect of established clinicopathologic features, SII≥ 710 was associated with OS (HR: 1.25, 95%CI: 1.04-1.50, p=0.02) and CSS (HR: 1.26, 95%CI: 1.05-1.52, p=0.01). The addition of SII only slightly improved the discrimination of a base model that included established clinicopathologic features (C-index = 0.637 vs C-index = 0.629). On DCA, the inclusion of SII did not improve the net-benefit of the prognostic model. On multivariable analyses, SII ≥ 710 remained independently associated with the worse OS and CSS in IMDC intermediate risk group (both: HR: 1.31, 95%CI: 1.02 - 1.67, p = 0.03). In the subgroup analyses based on the BMI, among patients with BMI ≥ 25, SII was significantly associated with OS (HR: 1.29, 95%CI: 1.04 - 1.61, p = 0.02) and CSS (HR: 1.31, 95%CI: 1.05 - 1.63, p = 0.02).

CONCLUSIONS

We found an independent association of high SII prior to CN with unfavorable clinical outcomes, particularly in patients with intermediate risk mRCC and patients with increased BMI. Despite these results, it does not seem to add any prognostic or clinical benefit beyond that obtained by currently available clinicopathologic characteristics as sole worker.

Can Systemic Immune-Inflammation Index Create a New Perspective for the IMDC Scoring System in Patients with Metastatic Renal Cell Carcinoma?

INTRODUCTION

The aim of the study was to evaluate impact of the systemic immune-inflammation index (SII) on prognosis and survival within the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) score groups.

METHODS

The records of 187 patients with metastatic renal cell carcinoma (RCC) were reviewed retrospectively. The SII was calculated as follows: SII = Neutrophil × Platelet/Lymphocyte. The patients were categorized into 2 groups based on a median SII of 730 (×109 per 1 L) as SII low (<730) and SII high (≥730). The Kaplan-Meier method was used for survival analysis and a Cox regression model was utilized to determine independent predictors of survival.

RESULTS

The median age was 61 years (range: 34-86 years). Kaplan-Meier tests revealed significant differences in survival between the SII-low and SII-high levels (27.0 vs. 12.0 months, respectively, p < 0.001). The Cox regression model revealed that SII was an independent prognostic factor. The implementation of the log-rank test in the IMDC groups according to the SII level provided the distinction of survival in the favorable group (SII low 49.0 months vs. SII high 11.0 months, p < 0.001), in the intermediate group (SII low 26.0 vs. SII high 15.0 months, p = 0.007), and in the poor group (SII low 19.0 vs. SII high 6.0 months, p = 0.019).

CONCLUSION

The SII was an independent prognostic factor and provided significant differences in survival for the favorable, intermediate, and poor IMDC groups. Thus, the SII added to the IMDC score may be clinically beneficial in predicting survival.

High Systemic Immune-Inflammation Index is an Adverse Prognostic Factor for Patients With Gastroesophageal Adenocarcinoma

OBJECTIVE

The aim of this study was to determine the clinical role of the systemic immune-inflammation index in patients with resectable adenocarcinoma of the gastroesophageal junction treated with or without neoadjuvant therapy.

BACKGROUND

Adenocarcinoma of the gastroesophageal junction is an aggressive disease, with less than 20% of overall patients surviving more than 5 years after diagnosis, while currently available clinical staging for esophageal cancer is lacking necessary accuracy. The systemic immune-inflammation index (SII) based on peripheral neutrophil, lymphocyte, and platelet counts has shown a prognostic impact in various malignancies.

METHODS

Data of consecutive patients undergoing esophagectomy (n = 320, 1992 to 2016) were abstracted. The cut point for high and low SII before neoadjuvant treatment and before surgery was calculated for illustration of the Kaplan-Meier curves. SII was used for the correlation with patients' clinicopathological characteristics as a continuous variable. Survival was analyzed with Cox proportional hazards models using clinical or pathological staging, adjusting for other known survival predictors.

RESULTS

In both neoadjuvantly treated and primarily resected patients, high SII was significantly associated with diminished overall [hazard ratio (HR) 1.3, 95% confidence interval (95% CI) 1.2-1.4; HR 1.2, 95% CI 1.2-1.3, respectively] and disease-free survival (HR 1.3, 95% CI 1.2-1.3; HR 1.2, 95% CI 1.2-1.3, respectively). In multivariable survival analysis, SII remained an independent prognostic factor for overall survival (HR 1.3, 95% CI 1.2-1.4; HR 1.2, 95% CI 1.2-1.3, respectively) and disease-free survival (HR 1.3, 95% CI 1.2-1.3; HR 1.2, 95% CI 1.2-1.3, respectively) in primarily resected and neoadjuvantly treated patients.

CONCLUSION

Elevated SII is an independent adverse prognostic factor in patients with resectable gastroesophageal adenocarcinomas with and without neoadjuvant treatment.

Systemic immune-inflammation index changes predict outcome in stage III non-small-cell lung cancer patients treated with concurrent chemoradiotherapy

Background: Although the systemic immune-inflammation index (SII) has been used to predict recurrence and survival in non-small-cell lung cancer (NSCLC) patients, the prognostic significance of change in SII (ΔSII) is unclear for stage III NSCLC patients treated with concurrent chemoradiotherapy (CCRT). In the present study we aimed to explore the association between ΔSII and the clinical outcomes of 142 patients with stage III NSCLC treated with CCRT. Methods: A total of 142 patients were included in this retrospective study. The SII values were calculated based on laboratory data regarding platelet, neutrophil and lymphocyte counts, and ΔSII was calculated using data acquired before and approximately 2 weeks after CCRT. The receiver operating characteristic curve was used to determine the optimal cut-off value for the peripheral blood inflammation index. Kaplan-Meier analysis and Cox proportional regression were used to analyze the prognostic value of ΔSII for overall survival (OS) and progression-free survival (PFS). Results: The area under the receiver operating characteristic curve for ΔSII (0.708) was larger than those for pre-CCRT SII (0.578) and post-CCRT SII (0.610). The optimal cut-off point for ΔSII was defined as 43. OS and PFS were better in patients with low ΔSII and in multivariate analysis, the ΔSII was an independent predictor of OS and PFS (p = 0.006 and p = 0.017, respectively). Conclusions: ΔSII is related to progression and death in patients with stage III NSCLC. The ΔSII can provide a detailed prognostic prediction for stage III NSCLC.

Diagnostic efficiency of systemic immune-inflammation index in fusion prostate biopsy

OBJECTIVE

To investigate the diagnostic efficiency of systemic immune response (SII) in prostate cancer (PCa) in patients with PSA<10ng/ml undergoing fusion prostate biopsy.

METHODS

The prospective study included patients who were planned for fusion prostate biopsy and had PSA<10ng/ml and a PI-RADS≥3. All the patients underwent 12-core standard transrectal prostate biopsy followed targeted biopsy (combined biopsy). Based on preoperative complete blood count parameters, SII was calculated using the following formula: SII=platelet×neutrophil-to-lymphocyte ratio. Correlations between PI-RADS score, platelet, neutrophil-to-lymphocyte ratio, PSA, PSA density, SII and PCa were determined using ROC curve analysis. Optimal cut-off values were determined using the maximum Youden Index (defined as: sensitivity+specificity-1).

RESULTS

The study included 508 patients with a mean age of 62.49±6.86 years and a median PSA level of 7.28 (5.69-8.70) ng/ml. The overall clinically significant PCa rate was 39.4%. Although SII had no significant diagnostic value in PCa patients with low ISUP grades (grade 1 and 2) (AUC=0.487, P=.622), it was revealed as a significant marker in PCa patients with an ISUP grade≥3 (AUC=0.811, P<.001). The cut-off value of SII was 533.0. While the combination of SII with PI-RADS score is the most effective marker, neutrophil-to-lymphocyte ratio and platelet were also revealed as effective markers in predicting ISUP grade 3-5 PCa, though not as effective as SII.

CONCLUSION

SII and SII combination with PI-RADS score appear to be a significant diagnostic marker in patients with high-grade PCa (ISUP grade 3-5). These values were found to be higher compared to those of patients with a benign pathology and patients with lower ISUP scores.

The Predictive Value of Red Blood Cell Distribution Width for Survival Outcomes of Metastatic Renal Cell Carcinoma Patients Treated with Targeted Therapy

BACKGROUND

We aimed to investigate the prognostic value of red cell distribution width (RDW) in metastatic renal cell carcinoma (mRCC) patients treated with targeted therapy, including sunitinib and pazopanib.

METHODS

A total of 104 mRCC patients were included. The Kaplan-Meier method was used to estimate overall survival (OS) and progression-free survival (PFS), and the long-rank test was used for comparison. Univariate and multivariate Cox proportional hazards models were used to determine the association between RDW and PFS and OS.

RESULTS

The PFS and OS of all cohorts were 11.8 mo and 25.9 mo, respectively. Receiver operating characteristic analysis revealed that RDW level ≥15.4 was the optimal cutoff value for OS prediction with 73.53% sensitivity and 61.11% specificity (area under curve: 0.64, P = 0.012). RDW level ≥15.4 was found as an independent prognostic parameter for OS when adjusted for the number of covariates, including the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) scoring system (hazard ratio: 1.125, 95% confidence interval: 1.024-2.235, P = 0.014).

CONCLUSIONS

Our study revealed that high RDW level, a routinely and easily assessed marker, was significantly associated with worse survival outcomes in mRCC patients treated with targeted therapy.

The clinical significance of routine risk categorization in metastatic renal cell carcinoma and its impact on treatment decision-making: a systematic review

Aim: To analyze responses to first-line metastatic renal cell carcinoma (mRCC) treatment stratified by risk criteria. Patients & methods: Clinical trials and observational studies of patients aged ≥18 years, published January 2005-May 2019, were identified via Ovid from MEDLINE, EMBASE, the Cochrane Central Trials Register and the Cochrane Database of Systematic Reviews. Data extracted included progression-free survival (PFS), overall survival (OS) and objective response rate (ORR). Results: 47/1269 articles met eligibility criteria. Most studies stratified patients by International Metastatic RCC Database Consortium (n = 19) or Memorial Sloan Kettering Cancer Center (n = 21). PFS, OS and ORR varied according to risk group. Conclusion: Pembrolizumab + axitinib, ipilimumab + nivolumab and avelumab + axitinib were most effective across all risk groups. Favorable-risk patients benefit from sunitinib treatment.

The Change of Systemic Immune-Inflammation Index Independently Predicts Survival of Colorectal Cancer Patients after Curative Resection

Background

The systemic immune-inflammation index (SII) has an important role in predicting survival in some solid tumors. However, little information is available concerning the change of the SII (∆SII) in colorectal cancer (CRC) after curative resection. This study was designed to evaluate the role of ∆SII in CRC patients who received surgery.

Methods

A total 206 patients were enrolled in this study. Clinicopathologic characteristics and survival were assessed. The relationships between overall survival (OS), disease-free survival (DFS), and ∆SII were analyzed with both univariate Kaplan-Meier and multivariate Cox regression methods.

Results

Based on the patient data, the receiver operating characteristic (ROC) optimal cutoff value of ∆SII was 127.7 for OS prediction. The 3-year and 5-year OS rates, respectively, were 60.4% and 36.7% in the high-∆SII group (>127.7) and 87.6% and 79.8% in the low-∆SII group (≤127.7). The 3-year and 5-year DFS rates, respectively, were 54.1% and 34.1% in the high-∆SII group and 80.3% and 78.5% in the low-∆SII group. In the univariate analysis, smoking, pathological stages III-IV, high-middle degree of differentiation, lymphatic invasion, vascular invasion, and the high-ΔSII group were associated with poor OS. Adjuvant therapy, pathological stages III-IV, vascular invasion, and ΔSII were able to predict DFS. Multivariate analysis revealed that pathological stages III-IV (HR = 0.442, 95% CI = 0.236-0.827, p = 0.011), vascular invasion (HR = 2.182, 95% CI = 1.243-3.829, p = 0.007), and the high-ΔSII group (HR = 4.301, 95% CI = 2.517-7.350, p < 0.001) were independent predictors for OS. Adjuvant therapy (HR = 0.415, 95% CI = 0.250-0.687, p = 0.001), vascular invasion (HR = 3.305, 95% CI = 1.944-5.620, p < 0.001), and the high-ΔSII group (HR = 4.924, 95% CI = 2.992-8.102, p < 0.001) were significant prognostic factors for DFS.

Conclusions

The present study demonstrated that ∆SII was associated with the clinical outcome in CRC patients undergoing curative resection, supporting the role of ∆SII as a prognostic biomarker.

Promising novel therapies for relapsed and refractory testicular germ cell tumors

INTRODUCTION

Germ cell tumors (GCTs) are the most common solid malignancies in young men. The overall cure rate of GCT patients in metastatic stage is excellent, however; patients with relapsed or refractory disease have poor prognosis. Attempts to treat refractory disease with novel effective treatment to improve prognosis have been historically dismal and the ability to predict prognosis and treatment response in GCTs did not sufficiently improve in the last three decades.

AREAS COVERED

We performed a comprehensive literature search of PubMed/MEDLINE to identify original and review articles (years 1964-2020) reporting on current improvement salvage treatment in GCTs and novel treatment options including molecularly targeted therapy and epigenetic approach. Review articles were further searched for additional original articles.

EXPERT OPINION

Despite multimodal treatment approaches the treatment of relapsed or platinum-refractory GCTs remains a challenge. High-dose chemotherapy (HDCT) regimens with autologous stem-cell transplant (ASCT) from peripheral blood showed promising results in larger retrospective studies. Promising results from in vitro studies raised high expectations in molecular targets. So far, the lacking efficacy in small and unselected trials do not shed a light on targeted therapy. Currently, wide inclusion of patients into clinical trials is highly advised.

Positive association between systemic immune-inflammatory index and mortality of cardiogenic shock

BACKGROUND

Cardiogenic shock (CGS) is not only a state of hypoperfusion, but also related to inflammation. The prognostic value of systemic immune-inflammatory index (SII), an innovate biomarker of inflammation, in CGS patients has not been assessed. This study aims to explore the associations between SII and mortality in patients with CGS.

METHODS

Data on patients diagnosed with CGS were extracted from MIMIC-III database version 1.4. The follow-up started on the patients' first admission to ICU. The primary outcome was 30-day mortality. 90-day and 365-day mortality were the secondary outcomes. Cox proportional hazards models were used to investigate the associations between SII and mortality of CGS patients.

RESULTS

707 patients with CGS were included in our study (59.8% male, 67.5% the white, 70.27 ± 14.56 years). For 30-day mortality, the HR (95% CI) value of high-SII group was 2.17 (1.60, 2.93) compared with the reference of low-SII group (P < 0.0001). The HR value of mid-SII group, however, showed none statistical significance (HR: 1.03, 95% CI: 0.74-1.43, P = 0.8516). When adjusted for age, gender and ethnicity in Model I, the adjusted HR (95% CI) value of high-SII group was 2.28 (1.69, 3.09). When further adjusted for heart rate, SBP, serum potassium, PTT, INR and ECI in Model II, the adjusted HR value of high-SII group was still statistically significant (HR: 2.08, 95% CI: 1.52-2.86, P < 0.0001). Similar results were also shown in the secondary outcomes of 90-day and 365-day mortality.

CONCLUSIONS

High level of SII is associated with increased short- and long-term mortality of patients with CGS. SII, a readily available biomarker, can independently predict the prognosis of CGS patients.

Prognostic value of systemic immune-inflammation index in patients with urologic cancers: a meta-analysis

Background

Several studies have reported that the systemic immune-inflammation index (SII) is associated with the prognosis of patients with urologic cancers (UCs). The aim of this study was to systematically evaluate the prognostic value of SII in UC patients.

Methods

We searched public databases for relevant published studies on the prognostic value of SII in UC patients. Hazard ratios (HRs) and 95% confidence intervals (CIs) were extracted and pooled to assess the relationships between SII and overall survival (OS), progression-free survival (PFS), cancer-specific survival (CSS), overall response rate (ORR) and disease control rate (DCR).

Results

A total of 14 studies with 3074 patients were included. From the pooled results, we found that high SII was associated with worse overall survival (OS) in patients with UC (HR 2.58, 95% CI 1.59–4.21). Patients with high SII values also had poorer PFS (HR 1.92, 95% CI 1.29–2.88) and CSS (HR 2.58, 95% CI 1.36–4.91) as well as lower ORRs (HR 0.40, 95% CI 0.22–0.71) than patients with low SII values. In addition, the subgroup analysis of OS and PFS showed that the prognosis of patients with high SII was worse than that of patients with low SII.

Conclusions

SII might be a promising noninvasive predictor in patients with UC. However, more samples and multicenter studies are needed to confirm the effectiveness of SII in predicting the prognosis of patients with UC.

Potential Application of Chimeric Antigen Receptor (CAR)-T Cell Therapy in Renal Cell Tumors

Currently, renal cell carcinoma is characterized by encouraging benefits from immunotherapy that have led to significant results in treatment outcome. The approval of nivolumab primarily as second-line monotherapy and, more recently, the approval of new combination therapies as first-line treatment have confirmed the importance of immunotherapy in this type of tumor. In this context, the chimeric antigen receptor (CAR)-T represents a further step forward in the field of immunotherapy. Initially tested on hematological malignancies, this new therapeutic approach is also becoming a topic of great interest for solid tumors. Although the treatment has several advantages over previous T-cell receptor-dependent immunotherapy, it is facing some obstacles in solid tumors such as a hostile tumor microenvironment and on-tumor/off-tumor toxicities. Several strategies are under investigation to overcome these problems, but the approval of CAR-T cell therapy is still some way off. In renal cancer, the significant advantages obtained from immune checkpoint inhibitors represent a good starting point, but the potential nephrological toxicity of CAR-T cell therapy represents an important risk. In this review, we provide the rationale and preliminary results of CAR-T cell therapy in renal cell malignancies.

Prognostic and Predictive Factors in Metastatic Renal Cell Carcinoma: Current Perspective and a Look Into the Future

Metastatic renal cell carcinoma (mRCC) comprises a highly heterogeneous group of diseases with varied clinical outcomes. As a result, models to estimate prognosis were developed in an attempt to aid patient counseling, treatment selection, and clinical trial design. Contemporary prognostic models have been mostly generated based on clinical factors because of their ease of use. Recent advances in molecular techniques have allowed unprecedented molecular profiling of RCC and the discovery of genomic and proteotranscriptomic factors that may contribute to disease trajectory. With the advent of multiple systemic therapies in mRCC in recent years, predictive biomarkers have become increasingly relevant in treatment selection. In this review, we discuss the existing staging systems and prognostic models in mRCC. We also highlight various promising molecular biomarkers according to the subtypes of RCC and explore their integration into the traditional prognostic models. In addition, we discuss emerging predictive biomarkers in the era of immuno-oncology. Lastly, we explore future directions with a focus on liquid biopsies and composite biomarkers.

Prognostic Role of Systemic Inflammatory Indexes in Germ Cell Tumors Treated With High-Dose Chemotherapy

High-dose chemotherapy (HDCT) has curative potential in relapsed/refractory germ cell tumors (GCT). Due to the complexity of this population and the toxicity of HDCT, we evaluated the association between blood-based systemic inflammatory indexes and the outcome of GCT patients undergoing salvage treatment with HDCT in order to define additional prognostic factors able to orient clinical decision. Baseline characteristics, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and the systemic immune-inflammation index (SII) of 62 patients undergoing HDCT for GCT were retrospectively collected. The aim is to evaluate the correlation between each inflammatory marker (NLR, PLR, and SII) and response to HDCT, overall survival (OS), and progression-free survival (PFS). Using the receiver operating curve to identify the best cutoff values, it was found that patients with GCT with NLR ≥3.3 and SII ≥844,000 had shorter PFS and inferior OS. In the multivariable analysis including inflammatory markers, the International Prognostic Factor Study Group (IPFSG) risk group, age, and previous line of treatment, NLR ≥3.3 and SII ≥844,000 were identified to be independently associated with shorter PFS and OS. Moreover, NLR, PLR, and SII significantly correlate with overall response to HDCT. Associating IPFSG prognostic score to inflammatory markers at baseline of HDCT may improve prognostic information and could help physicians to make more personalized treatment decisions.

The prognostic significance of hemoglobin-to-red cell distribution width ratio in muscle-invasive bladder cancer

Aim: To investigate the prognostic significance of pretreatment hemoglobin (HB)-to-red cell distribution width (RDW) ratio (HRR) in patients with muscle-invasive bladder cancer (MIBC). Materials & methods: The neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), prognostic nutritional index, HRR, HB and RDW were analyzed to assess their prognostic value using the Kaplan-Meier curves and Cox-regression analysis in 152 patients with MIBC. Results: Univariate analysis showed that the progression-free survival (PFS) was associated with NLR, SII, HRR, RDW, whereas overall survival (OS) was associated with NLR, SII, prognostic nutritional index, HRR, HB, RDW. In multivariate analysis, HRR was found to be an independent prognostic factor for both PFS and OS. Conclusion: HRR is a new prognostic factor that can be used to predict PFS/OS in MIBC.