Prognostic Value of Systemic Immune-Inflammation Index (SII) in Patients with Glioblastoma: A Comprehensive Study Based on Meta-Analysis and Retrospective Single-Center Analysis

Yang, Chia-Han; Hu, Bowen; Tang, Feng; Zhang, Qing; Quan, Wei; Wang, Jie; Wang, Xinghuan; Li, Yirong; Li, Zhiqiang

doi:10.3390/jcm11247514

Cited by 8 publications

(11 citation statements)

References 55 publications

(67 reference statements)

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“…Similarly, studies have found that SII is a risk factor for liver steatosis, but it is not associated with liver fibrosis [ 24 ]. Meta-analysis showed that high SII levels significantly reduced overall survival (OS) in patients with small-cell lung cancer and glioblastoma [ 25 , 26 ]. In addition, in recent years, some studies have begun to focus on the relationship between SII and cardiovascular disease.…”

Section: Discussionmentioning

confidence: 99%

The relationship between a series of inflammatory markers on the risk of heart failure in different gender groups: Analysis from NHANES 2015–2018

Cheng,

Yu,

Qiu

et al. 2024

PLoS ONE

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Background A better understanding of the level-grade inflammation for the development and worsening of heart failure (HF) in different gender groups is an unmet need. We performed an updated analysis on the impact of a series of systemic inflammation markers on HF. Methods This compensatory cross-sectional study enrolled participants from the National Health and Nutrition Examination Survey (NHANES) 2015–2018. HF was based on the self-reported questions. Univariate and multivariate logistic regression were used to investigate the association between systemic immune-inflammation index (SII), high sensitivity C-reactive protein (hs-CRP), lymphocyte-to-monocyte ratio (LMR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and HF. For patients of different genders, P for trend was used to analyze potential linear trend relationships and the restricted cubic splines (RCS) were used to describe non-linear relationships. The additive interaction was evaluated by the relative excess risk due to interaction (RERI), attributable proportion (AP), and the synergy index (SI). The multiplicative interaction was evaluated by odds ratio (OR) and 95% confidence interval (CI) of product-term. Results A total of 5,830 participants from the NHANES database were divided into two groups: the HF group (n = 210) and the non-HF group (n = 5620). After gender stratification, hs-CRP (OR: 1.01, 95% CI: 1.00–1.03), SII (OR: 1.00, 95% CI: 1.00–1.01), NLR (OR: 1.22, 95% CI: 1.11–1.35) and LMR (OR: 0.79, 95% CI: 0.65–0.93) were independent meaningful factors for HF in males, there was no non-linear relationship between the three factors (SII, NLR, hs-CRP, all P for non-linear > 0.05) and the prevalence of HF, but we detected a non-linear relationship between LMR and the prevalence of HF in males (P for non-linear < 0.05). An additive interaction of hs-CRP and NLR on the risk of HF in males (RERI (OR): 0.67, 95% CI: 0.12–1.34; AP (OR): 0.14, 95% CI: 0.02–0.24; SI (OR): 1.22, 95% CI: 1.03–1.44). Conclusions In summary, hs-CRP, NLR, and LMR are superior meaningful markers for HF in males. SII may be a meaningful systemic inflammation warning marker for HF, which needs to be discriminated against with caution. Only detected a non-linear relationship between LMR and the prevalence of HF in males. NLR and hs-CRP may have an additive interaction in the prevalence of male HF patients. The outcome compensated for previous studies that still needed more studies for validation.

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Section: Discussionmentioning

confidence: 99%

The relationship between a series of inflammatory markers on the risk of heart failure in different gender groups: Analysis from NHANES 2015–2018

Cheng,

Yu,

Qiu

et al. 2024

PLoS ONE

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“…Recently, numerous meta-analyses have analyzed SII’s performance in predicting various cancer types ( 28 , 30 , 45 – 48 ). In a meta-analysis of 1768 patients, Wang et al.…”

Section: Discussionmentioning

confidence: 99%

“…Recently, numerous meta-analyses have analyzed SII's performance in predicting various cancer types (28,30,(45)(46)(47)(48). In a meta-analysis of 1768 patients, Wang et al reported that in breast cancer cases (BC), poor OS and disease-free survival (DFS) were considerably correlated with increased SII (48).…”

Section: Discussionmentioning

confidence: 99%

Prognostic significance of systemic immune-inflammation index in patients with ovarian cancer: a meta-analysis

Mao

Yang

2023

Front. Oncol.

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BackgroundThe prognosis of several malignancies has been influenced by the systemic immune-inflammation index (SII); however, its association with the prognostic outcome of ovarian cancer (OC) remains controversial. The present meta-analysis focused on the systemic and comprehensive identification of the role of SII in predicting OC prognosis.MethodsWe searched the Web of Science, PubMed, Cochrane Library, Embase, and China National Knowledge Infrastructure (CNKI) from inception until March 6, 2023. To predict the prognostic value of SII for overall survival (OS) and progression-free survival (PFS) in patients with OC, we calculated pooled hazard ratios (HRs) and corresponding 95% confidence intervals (CIs).ResultsThe meta-analysis included six studies involving 1546 patients. The combined results showed that a high SII was significantly associated with poor OS (HR=2.70, 95% CI=1.98–3.67, p<0.001) and poor PFS (HR=2.71, 95% CI=1.78–4.12, p<0.001) in OC patients. These results were confirmed using subgroup and sensitivity analyses.ConclusionOur results concluded that a high SII significantly predicted poor OS and PFS in patients with OC. Therefore, it can be speculated that the SII may have an independent effect on the prognosis of OC.

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“…In the majority of glioblastoma/glioma studies ( Table 1 ), high NLR was established as an independent factor for worse outcomes without including MGMT promoter methylation status, steroid use, IDH mutation status, or other prognostic variables in multivariate analyses. Nevertheless, baseline NLR was still prognostically independent of MGMT promoter methylation status ( 58 , 129 ), IDH mutation status ( 51 , 92 , 121 ), and steroid use ( 122 , 124 ) in patients with glioblastoma, and patients with increased NLR and requiring steroids had the poorest outcomes ( 73 ). Moreover, in a recent prospective glioma study (n=73, 37% with grade III astrocytoma and 63% with grade IV glioma), patients were divided into four groups based on the median baseline NLR and NLR decrease during chemoradiotherapy ( 53 ).…”

Section: A High Neutrophil-to-lymphocyte Ratio Is An Independent Prog...mentioning

confidence: 99%

Systemic and local immunosuppression in glioblastoma and its prognostic significance

Stepanenko,

Sosnovtseva,

Valikhov

et al. 2024

Front. Immunol.

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The effectiveness of tumor therapy, especially immunotherapy and oncolytic virotherapy, critically depends on the activity of the host immune cells. However, various local and systemic mechanisms of immunosuppression operate in cancer patients. Tumor-associated immunosuppression involves deregulation of many components of immunity, including a decrease in the number of T lymphocytes (lymphopenia), an increase in the levels or ratios of circulating and tumor-infiltrating immunosuppressive subsets [e.g., macrophages, microglia, myeloid-derived suppressor cells (MDSCs), and regulatory T cells (Tregs)], as well as defective functions of subsets of antigen-presenting, helper and effector immune cell due to altered expression of various soluble and membrane proteins (receptors, costimulatory molecules, and cytokines). In this review, we specifically focus on data from patients with glioblastoma/glioma before standard chemoradiotherapy. We discuss glioblastoma-related immunosuppression at baseline and the prognostic significance of different subsets of circulating and tumor-infiltrating immune cells (lymphocytes, CD4+ and CD8+ T cells, Tregs, natural killer (NK) cells, neutrophils, macrophages, MDSCs, and dendritic cells), including neutrophil-to-lymphocyte ratio (NLR), focus on the immune landscape and prognostic significance of isocitrate dehydrogenase (IDH)-mutant gliomas, proneural, classical and mesenchymal molecular subtypes, and highlight the features of immune surveillance in the brain. All attempts to identify a reliable prognostic immune marker in glioblastoma tissue have led to contradictory results, which can be explained, among other things, by the unprecedented level of spatial heterogeneity of the immune infiltrate and the significant phenotypic diversity and (dys)functional states of immune subpopulations. High NLR is one of the most repeatedly confirmed independent prognostic factors for shorter overall survival in patients with glioblastoma and carcinoma, and its combination with other markers of the immune response or systemic inflammation significantly improves the accuracy of prediction; however, more prospective studies are needed to confirm the prognostic/predictive power of NLR. We call for the inclusion of dynamic assessment of NLR and other blood inflammatory markers (e.g., absolute/total lymphocyte count, platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, systemic immune-inflammation index, and systemic immune response index) in all neuro-oncology studies for rigorous evaluation and comparison of their individual and combinatorial prognostic/predictive significance and relative superiority.

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Prognostic Value of Systemic Immune-Inflammation Index (SII) in Patients with Glioblastoma: A Comprehensive Study Based on Meta-Analysis and Retrospective Single-Center Analysis

Cited by 8 publications

References 55 publications

The relationship between a series of inflammatory markers on the risk of heart failure in different gender groups: Analysis from NHANES 2015–2018

The relationship between a series of inflammatory markers on the risk of heart failure in different gender groups: Analysis from NHANES 2015–2018

Prognostic significance of systemic immune-inflammation index in patients with ovarian cancer: a meta-analysis

Systemic and local immunosuppression in glioblastoma and its prognostic significance

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