Prognostic and clinicopathological significance of Systemic Immune-Inflammation Index in cancer patients receiving immune checkpoint inhibitors: a meta-analysis

Prognostic Value of Blood-Based Inflammatory Markers in Cancer Patients Receiving Immune Checkpoint Inhibitors

Background: Although immune checkpoint inhibitors (ICIs) have significantly improved cancer treatment, a substantial proportion of patients do not benefit from these therapies, revealing the crucial need to identify reliable biomarkers. Inflammatory markers, such as the neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), pan-immune inflammation value (PIV), systemic inflammation response index (SIRI), lactate dehydrogenase (LDH), and C-reactive protein (CRP), may provide insights into treatment outcomes. Objectives: This study aimed to evaluate the prognostic value of multiple inflammatory markers in patients with cancer receiving ICI-based therapies. Methods: A retrospective analysis was performed on 226 patients treated with ICI-based therapies at a single center between 2012 and 2023. The inflammatory markers NLR, PIV, SII, SIRI, LDH, CRP, and albumin were assessed. Cut-off values were determined using maximally selected rank statistics, and overall survival (OS) and progression-free survival (PFS) were evaluated using the Kaplan-Meier method and Cox regression analysis. Results: High NLR, PIV, SII, SIRI, LDH, and CRP, as well as low albumin levels, were associated with worse OS and PFS (p < 0.001). In the multivariate analysis, high CRP, LDH, NLR, PIV, and SII independently predicted worse OS. Conclusions: Our findings confirm the prognostic utility of several inflammatory biomarkers in patients with cancer receiving ICIs, highlighting their potential for treatment stratification. Further studies are necessary to standardize cut-off values and validate these findings across broader, more diverse populations.

Associations of exposure to phthalate with serum uric acid and hyperuricemia risk, and the mediating role of systemic immune inflammation

BACKGROUND

Previous studies found that urinary phthalates (PAEs) metabolites may be associated with increased serum uric acid concentration and hyperuricemia risk. However, no population-based study has investigated the underlying biological mechanisms.

METHODS

This nationwide cross-sectional study analyzed the data from the National Health and Nutrition Examination Survey (NHANES) 2003-2018. Urinary PAEs metabolites were measured and 8 PAEs metabolites (MCPP, MECPP, MEHHP, MEOHP, MBzP, MiBP, MBP, and MEP) were incorporated into the analysis. Serum uric acid was determined and hyperuricemia cases were identified. Multi-variable generalized linear model, exposure-response (E-R) function and weighted quantile sum (WQS) regression were utilized to investigate the relationships of PAEs metabolites with serum uric acid concentration and hyperuricemia risk. Systemic immune inflammation (SII) was assessed using the SII index and its mediation effects were explored using causal mediation effect model.

RESULTS

Data from 10,633 US adults in the NHANES 2003-2018 was analyzed. Except for MEP, individual PAEs metabolite and total PAEs metabolites were associated with increased serum uric acid concentration and hyperuricemia risk. E-R function of PAEs metabolites with serum uric acid concentration and the risk of hyperuricemia showed significantly positive associations with most curves in a nearly linear relationship. WQS regression showed that the mixture of PAEs metabolites was related to elevated serum uric acid and hyperuricemia risk, and MBzP was identified as the most contributing PAEs metabolite. The causal mediation effect model found that SII significantly mediated the relationships of PAEs metabolites with serum uric acid and hyperuricemia risk.

CONCLUSION

Individual and mixture of urinary PAEs metabolites were associated with increased serum uric acid concentration and the risk of hyperuricemia. MBzP exhibited the highest contribution to the overall effects. SII alteration may be an important biological mechanism underlining the impact of PAEs metabolites on serum uric acid concentration and hyperuricemia risk.

Blood-based circulating biomarkers for prediction of immune-checkpoint inhibitors efficacy in renal cell carcinoma

Immune checkpoint inhibitors (ICI)-based combinations have become the standard first-line treatment for advanced clear cell renal cell carcinoma (ccRCC). Despite significant improvements in survival and the achievement of sustained long-term responses, a subset of patients remains refractory to ICI, and most will eventually develop resistance. Thus, identifying predictive biomarkers for ICI efficacy and resistance is essential for optimizing therapeutic strategies. Up to now, tissue-based biomarkers have not been successful as predictive biomarkers in RCC. Circulating blood-based biomarkers offer a promising alternative. These biomarkers, including circulating immune cells, soluble factors, tumor-derived markers, and those based on metabolomics, are less invasive, offer reproducibility over time, and provide a comprehensive assessment of tumor biology and patient immune status, as well as allow dynamic monitoring during treatment. This review aims to evaluate the current evidence on the different candidate circulating biomarkers being investigated for their potential to predict ICI efficacy in RCC patients.

Prognostic value of systemic immune-inflammation index/albumin ratio for immunotherapy-treated patients receiving opioids

OBJECTIVE

This study evaluated the effect of the systemic immune-inflammation index/albumin ratio (SII/ALB) on the prognosis of immunotherapy-treated patients receiving opioids.

METHODS

A retrospective analysis was conducted of 185 immunotherapy-treated patients who received opioids at Xuzhou Central Hospital from 01/09/2021 to 01/09/2023. The results of related clinical data were collected during the week before the cancer patients received immunotherapy. The SII/ALB cut-off value was determined, and the relationship between the SII/ALB and clinical pathological parameters was analyzed using the chi-square test. The effect of the SII/ALB on progression-free survival (PFS) was examined using Kaplan-Meier curves and the Cox proportional hazard model.

RESULT

The SII/ALB cut-off value was 20.86, and patients were divided into low (SII/ALB ≤ 20.86) and high (SII/ALB > 20.86) SII/ALB groups. Adverse reactions (hazard ratio [HR] = 0.108; 95% confidence interval [CI]: 0.061-0.192, P < 0.001) and the SII/ALB (HR = 0.093; 95% CI: 0.057-0.151, P < 0.001) were independent prognostic factors for PFS. Compared with the high SII/ALB group, the low SII/ALB group had longer PFS after opioid treatment (12.2 vs. 5.2 months, P < 0.001).

CONCLUSION

The SII/ALB is a potentially important prognostic parameter in immunotherapy-treated patients receiving opioids.

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.

Prognostic value of systemic immune-inflammation index in CAD patients: Systematic review and meta-analyses

BACKGROUND

Systemic immune-inflammation index (SII) is a novel inflammatory marker based on neutrophils, platelets and lymphocytes counts, which has potential prognostic value among coronary artery disease (CAD) patients as described by some observational studies. We aimed to provide higher-certainty evidence to verify the association of SII with poor outcomes of CAD patients.

METHODS

PubMed, Web of Science, Embase, Ovid and Scopus were searched to find relevant literature exploring the prognostic value of SII among CAD patients. Hazard ratios (HRs) with 95% confidence intervals (CIs) extracted from the literature included were pooled with the fixed-effect or random-effect model. Sensitivity analyses and subgroup analyses were conducted to detect the source of heterogeneity and evaluate the stability of results.

RESULTS

A total of nine studies with 15,832 participants were included. The quantitative synthesis including eight studies with 15,657 participants showed that the high SII was related to the major adverse cardiovascular event in CAD patients (HR with 95% CI: 2.36 [1.67, 3.33]). After eliminating heterogeneity and adjusting for publication bias, the above result was still robust (HR with 95% CI: 1.67 [1.32, 2.12]). Additionally, we also demonstrated the prognostic values of SII for all-cause death, cardiovascular death, myocardial infarction and stroke.

CONCLUSION

Higher SII has prognostic values for adverse outcomes in CAD patients.

The diagnostic role of the systemic inflammation index in patients with immunological diseases: a systematic review and meta-analysis

The identification of novel, easily measurable biomarkers of inflammation might enhance the diagnosis and management of immunological diseases (IDs). We conducted a systematic review and meta-analysis to investigate an emerging biomarker derived from the full blood count, the systemic inflammation index (SII), in patients with IDs and healthy controls. We searched Scopus, PubMed, and Web of Science from inception to 12 December 2023 for relevant articles and evaluated the risk of bias and the certainty of evidence using the Joanna Briggs Checklist and the Grades of Recommendation, Assessment, Development, and Evaluation Working Group system, respectively. In 16 eligible studies, patients with IDs had a significantly higher SII when compared to controls (standard mean difference, SMD = 1.08, 95% CI 0.75 to 1.41, p < 0.001; I2 = 96.2%, p < 0.001; moderate certainty of evidence). The pooled area under the curve (AUC) for diagnostic accuracy was 0.85 (95% CI 0.82-0.88). In subgroup analysis, the effect size was significant across different types of ID, barring systemic lupus erythematosus (p = 0.20). In further analyses, the SII was significantly higher in ID patients with active disease vs. those in remission (SMD = 0.81, 95% CI 0.34-1.27, p < 0.001; I2 = 93.6%, p < 0.001; moderate certainty of evidence). The pooled AUC was 0.74 (95% CI 0.70-0.78). Our study suggests that the SII can effectively discriminate between subjects with and without IDs and between ID patients with and without active disease. Prospective studies are warranted to determine whether the SII can enhance the diagnosis of IDs in routine practice. (PROSPERO registration number: CRD42023493142).

Prognostic and clinicopathological impacts of systemic immune-inflammation index on patients with diffuse large B-cell lymphoma: a meta-analysis

Background

The systemic immune-inflammation index (SII) represents the immunoinflammatory score and can be considered as a prognostic marker; however, its relevance to the prognosis in patients with diffuse large B-cell lymphoma (DLBCL) remains unclear.

Objectives

The present meta-analysis was conducted to comprehensively evaluate the relationship between the SII and prognosis in patients with DLBCL.

Design

This meta-analysis was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement.

Data sources and methods

The PubMed, Web of Science, Embase, and Cochrane Library databases were comprehensively searched from inception to 16 March 2023. We calculated combined hazard ratios (HRs) and 95% confidence intervals (CIs) to estimate the prognostic significance of the SII for overall survival (OS) and progression-free survival (PFS) in DLBCL. In addition, this study determined odds ratios (ORs) and their 95% CIs to evaluate the correlation of SII with the clinicopathological features of DLBCL.

Results

Five articles including 592 cases were enrolled in the current meta-analysis. According to our combined findings, the higher SII significantly predicted worse OS (HR = 3.87, 95% CI: 2.48-6.04, p < 0.001) together with inferior PFS (HR = 2.38, 95% CI: 1.12-5.08, p = 0.024) in DLBCL. Furthermore, a high SII was significantly correlated with B symptoms (OR = 2.52, 95% CI: 1.66-3.81, p < 0.001), III-IV Ann Arbor stage (OR = 2.86, 95% CI: 1.84-4.45, p < 0.001), high-intermediate/high National Comprehensive Cancer Network International Prognostic Index (OR = 2.25, 95% CI: 1.52-3.31, p < 0.001), increased neutrophil-to-lymphocyte ratio (OR = 33.76, 95% CI: 17.18-66.35, p < 0.001), and increased platelet-to-lymphocyte ratio (OR = 44.65, 95% CI: 5.80-343.59, p < 0.001). Nonetheless, the SII was not significantly related to sex, age, lactic dehydrogenase level, Eastern Cooperative Oncology Group performance status, or histology.

Conclusion

According to this meta-analysis, the higher SII dramatically predicted inferior OS and PFS of DLBCL. Furthermore, an increased SII significantly correlated with some clinicopathological features representing the disease progression of DLBCL.

Trial registration

The protocol was registered in INPLASY under the number INPLASY202380106.

Prognostic significance of the Gustave Roussy immune (GRIm) score in cancer patients: a meta-analysis

BACKGROUND

The prognostic value of the Gustave Roussy immune (GRIm) score in cancer patients has been widely reported but remains inconsistent. The aim of this study is to systematically investigate the relationship between the GRIm score and survival outcomes in cancer patients.

METHODS

Relevant literature was identified using electronic databases including Web of Science, PubMed, and Embase from the inception to March 2023. The primary endpoints were long-term oncological outcomes. Subgroup analysis and sensitivity analysis were conducted during the meta-analysis.

RESULTS

Fifteen studies (20 cohorts) including 4997 cancer patients were enrolled. The combined results revealed that patients in the high GRIm group had a deteriorated overall survival (HR = 2.07 95%CI: 1.73-2.48; p < 0.0001; I2 = 62%) and progression-free survival (HR = 1.42; 95%CI: 1.22-1.66; p < 0.0001; I2 = 36%). The prognostic values of GRIm on overall survival and progression-free survival were observed across various tumour types and tumour stages. Sensitivity analysis supported the stability and reliability of the above results.

CONCLUSION

Our evidence suggested that the GRIm score could be a valuable prognostic marker in cancer patients, which can be used by clinicians to stratify patients and formulate individualized treatment plans.

Prognostic value of nutritional and inflammatory markers in patients with hepatocellular carcinoma who receive immune checkpoint inhibitors

The emergence of immune checkpoint inhibitors (ICIs) has provided a new treatment option for patients with hepatocellular carcinoma (HCC). However, further evaluation is needed for determining biomarkers for the use of ICIs. The present study evaluated the prognostic value of certain nutritional and inflammatory markers in patients with HCC who received ICIs. In the present study, the clinical data of 151 patients with HCC who received ICIs at Harbin Medical University Cancer Hospital from January 2019 to December 2021 were collected. The blood parameters of all patients before treatment were collected to evaluate certain nutritional and inflammatory markers, including the prognostic nutrition index (PNI), nutritional risk index (NRI), geriatric NRI (GNRI), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI) and advanced lung cancer inflammation index (ALI). Patients were grouped using the cut-off value calculated using receiver operating characteristic (ROC) curves, and the relationship between these biomarkers and prognosis was evaluated through survival analysis. Furthermore, the prognostic value of these biomarkers was assessed through multivariate Cox regression analysis and construction of nomograms. Finally, time-ROC curves were plotted to compare the differences in predicting prognosis between the biomarkers. In the preliminary survival analysis, all inflammatory and nutritional markers included in the present study were significantly associated with the prognosis of HCC in patients who received ICIs. Similar results were obtained in a subgroup analysis of patients with different Barcelona Clinic Liver Cancer (BCLC) stages. Multivariate Cox regression analysis demonstrated that GNRI, PNI, BCLC stage and Tumor-Node-Metastasis (TNM) stage were significantly associated with progression-free survival (PFS), whereas GNRI, BCLC stage and TNM stage were also significantly associated with overall survival (OS). Furthermore, the time-ROC curves indicated that nutritional indicators had a higher prognostic value in all indexes, especially GNRI. The C-index (95% confidence interval) of the nomograms for predicting the survival probability of patients who received ICIs were 0.801 (0.746-0.877) and 0.823 (0.761-0.898) for PFS and overall OS, respectively, which also showed high accuracy. In conclusion, the present study demonstrated that PNI, GNRI, NRI, SII, SIRI and ALI were all related to the efficacy of ICIs in HCC and could serve as non-invasive biomarkers for ICI treatment effectiveness. Moreover, compared with inflammatory markers, nutritional markers had greater predictive ability, with GNRI being the biomarker with the best prognostic value.

Systemic inflammation index, disease severity, and mortality in patients with COVID-19: a systematic review and meta-analysis

Introduction

An excessive systemic pro-inflammatory state increases the risk of severe disease and mortality in patients with coronavirus disease 2019 (COVID-19). However, there is uncertainty regarding whether specific biomarkers of inflammation can enhance risk stratification in this group. We conducted a systematic review and meta-analysis to investigate an emerging biomarker of systemic inflammation derived from routine hematological parameters, the systemic inflammation index (SII), in COVID-19 patients with different disease severity and survival status.

Methods

A systematic literature search was conducted in PubMed, Web of Science, and Scopus, between the 1st of December 2019 and the 15th of March 2023. Risk of bias and certainty of evidence were assessed using the Joanna Briggs Institute Critical Appraisal Checklist and the Grades of Recommendation, Assessment, Development and Evaluation, respectively (PROSPERO registration number: CRD42023420517).

Results

In 39 studies, patients with a severe disease or non-survivor status had significantly higher SII values on admission compared to patients with a non-severe disease or survivor status (standard mean difference (SMD)=0.91, 95% CI 0.75 to 1.06, p<0.001; moderate certainty of evidence). The SII was also significantly associated with the risk of severe disease or death in 10 studies reporting odds ratios (1.007, 95% CI 1.001 to 1.014, p=0.032; very low certainty of evidence) and in six studies reporting hazard ratios (1.99, 95% CI 1.01 to 3.92, p=0.047; very low certainty of evidence). Pooled sensitivity, specificity, and area under the curve for severe disease or mortality were 0.71 (95% CI 0.67 to 0.75), 0.71 (95% CI 0.64 to 0.77), and 0.77 (95% CI 0.73 to 0.80), respectively. In meta-regression, significant correlations were observed between the SMD and albumin, lactate dehydrogenase, creatinine, and D-dimer.

Discussion

Our systematic review and meta-analysis has shown that the SII on admission is significantly associated with severe disease and mortality in patients with COVID-19. Therefore, this inflammatory biomarker derived from routine haematological parameters can be helpful for early risk stratification in this group.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO, identifier CRD42023420517.