Prognostic value of Systemic immune-inflammation index in cancer: A meta-analysis

Yang, Ruike; Chang, Qian; Meng, Xianchun; Gao, Nan; Wang, Wanhai

doi:10.7150/jca.25691

Cited by 276 publications

(281 citation statements)

References 37 publications

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“…Recently, SII was developed as a new index based on circulating immune‐inflammatory cells, such as platelets, neutrophils and lymphocytes. The index has been widely reported to be associated with poor outcomes in patients with various cancers, 16‐18 indicating that it could be useful as a biomarker for future outcomes. In our study, the ACS group had higher SII score and WBC values, which reflect more severe inflammation.…”

Section: Discussionmentioning

confidence: 99%

“…Hu et al 16 first reported on the use of the SII in hepatocellular carcinoma, and the index had significant associations with prognostic clinical outcomes, including vascular invasion, tumour size and early recurrence. More and more clinical observation studies support that SII is a powerful tool for predicting survival outcomes in multiple solid cancers 17,18 . Recently, Seo et al 19 first reported the predictive value of SII in patients with chronic heart failure.…”

Section: Discussionmentioning

confidence: 99%

“…Recently, the systemic immune‐inflammation index (SII) was developed based on the platelet counts and NLR (SII, platelets count × neutrophil/lymphocyte ratio) to consider patients’ inflammatory and immune status simultaneously. A high SII was reported to be associated with poor outcomes in cancer patients, 16‐18 which indicates that the index could be used as a marker of prognostic value in various malignant diseases. To our interest, it has been mentioned that SII may also be associated with adverse outcomes in chronic heart failure 19 which suggests potential implications in cardiovascular disease.…”

Section: Introductionmentioning

confidence: 99%

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Systemic immune‐inflammation index (SII) predicted clinical outcome in patients with coronary artery disease

Yang

Wu²,

Hsu³

et al. 2020

Eur J Clin Investigation

337

300

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Background: This study examines the predictive value of a novel systemic immuneinflammation index (SII, platelet × neutrophil/lymphocyte ratio) in coronary artery disease (CAD) patients. Methods: A total of 5602 CAD patients who had undergone a percutaneous coronary intervention (PCI) were enrolled. They were divided into two groups by baseline SII score (high SII vs low SII) to analyse the relationship between SII groups and the long-term outcome. The primary outcomes were major cardiovascular events (MACE) which includes nonfatal myocardial infarction (MI), nonfatal stroke and cardiac death. Secondary outcomes included a composite of MACE and hospitalization for congestive heart failure. Results: An optimal SII cut-off point of 694.3 × 10 9 was identified for MACE in the CAD training cohort (n = 373) and then verified in the second larger CAD cohort (n = 5602). Univariate and multivariate analyses showed that a higher SII score (≥694.3) was independently associated with increased risk of developing cardiac death (HR: 2.02; 95% CI: 1.43-2.86), nonfatal MI (HR: 1.42; 95% CI: 1.09-1.85), nonfatal stroke (HR: 1.96; 95% CI: 1.28-2.99), MACE (HR: 1.65; 95% CI: 1.36-2.01) and total major events (HR: 1.53; 95% CI: 1.32-1.77). In addition, the SII significantly improved risk stratification of MI, cardiac death, heart failure, MACE and total major events than conventional risk factors in CAD patients by the significant increase in the C-index (P < .001) and reclassification risk categories by significant NRI (P < .05) and IDI (P < .05). Conclusions: SII had a better prediction of major cardiovascular events than traditional risk factors in CAD patients after coronary intervention. K E Y W O R D Scoronary artery disease, inflammation, percutaneous coronary intervention 2 of 11 | YANG et Al.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Systemic immune‐inflammation index (SII) predicted clinical outcome in patients with coronary artery disease

Yang

Wu²,

Hsu³

et al. 2020

Eur J Clin Investigation

337

300

View full text Add to dashboard Cite

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“…SII is a relatively new index that reflects inflammation status and is correlated with circulating tumor cells. A high level of SII has been associated with advanced clinicopathological characteristics and has been identified as a reliable prognostic factor for long term survival in various malignant tumors (26). SII has also been proposed as a better reflection of inflammatory status and prognosis than other inflammatory markers in many cancers (27)(28)(29).…”

Section: Discussionmentioning

confidence: 99%

Nomogram Based on Systemic Immune-Inflammation Index to Predict Survival of Tongue Cancer Patients Who Underwent Cervical Dissection

Yan

Liang

et al. 2020

Front. Oncol.

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Aim: The aim of this study was to evaluate the prognostic significance of the preoperative systemic immune-inflammation index (SII) and to establish a nomogram for prediction of survival of tongue squamous cell carcinoma (TSCC) patients who underwent primary surgery and cervical dissection.Methods: 120 patients diagnosed with TSCC who underwent primary tumor and neck dissection without preoperative treatment were included to develop the nomogram. This model was externally validated in an independent data cohort of 50 TSCC patients. X-tile software was used to identify the optimal cut-off value. Prognostic factors were identified by Univariate and multivariate analyses. A nomogram based on the multivariate analysis results was built to predict the survival rate and calibration curves and concordance index (C-index) were used to determine predictive and discriminatory capacity.Results: The optimal cut-off value was 569×10 9 /L for SII. In the training cohort, a high preoperative SII (>569) was significantly related to tumor size, histological grade, depth of invasion, lymph node density (LND). A Kaplan-Meier survival analysis showed that patients with a lower SII had a significantly better 5-year overall survival (OS) and disease-free survival (DFS) than patients with high SII (80.8% vs. 43.5% and 72.7% vs. 36.2%, respectively, P<0.001). Univariate analyses of training cohort revealed that age, clinical stage, depth of invasion, LND, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and SII were significant prognostic factors for OS. Moreover, the receiver operating characteristics (ROC) curve showed that SII was superior to NLR and PLR for predicting clinical outcomes. However, multivariate analysis found that age, LND, and SII were independent risk factors for OS. The C-index of the nomograms based on independent prognostic factors was 0.716 for OS and 0.723 for DFS. The C-indexes for external validation of OS and DFS were 0.852 and 0.754, respectively. The calibration curves showed good agreement between predicted and actual observations of OS and DFS. Lu et al. SII Predict Survival of TSCCConclusion: SII can serve as a novel independent prognostic factor for OS and DFS of patients with TSCC. The prognostic nomogram based on SII is a reliable model for predicting survival of patients with TSCC after surgery.

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“…Different clinical outcomes of Hp infection are related to differences in the patterns of impaired balance between aggressive bacterial and host defensive factors . The origin of cancers, including GC, has recently been ascribed to the disturbed cooperation between the cells and their niches, mediated by the pro‐inflammatory stimuli . Connective tissue cells, such as fibroblasts, may serve as the primary although underestimated targets of such stimuli in numerous inflammatory diseases.…”

Section: Discussionmentioning

confidence: 99%

Helicobacter pylori‐activated gastric fibroblasts induce epithelial‐mesenchymal transition of gastric epithelial cells in vitro in a TGF‐β‐dependent manner

et al. 2019

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Background: Colonization of the gastric mucosa with Helicobacter pylori (Hp) leads to the cascade of pathologic events including local inflammation, gastric ulceration, and adenocarcinoma formation. Paracrine loops between tissue cells and Hp contribute to the formation of gastric cancerous loci; however, the specific mechanisms underlying existence of these loops remain unknown. We determined the phenotypic properties of gastric fibroblasts exposed to Hp (cagA+vacA+) infection and their influence on normal epithelial RGM-1 cells. Materials and Methods: RGM-1 cells were cultured in the media conditioned with Hpactivated gastric fibroblasts. Their morphology and phenotypical changes associated with epithelial-mesenchymal transition (EMT) were assessed by Nomarski and fluorescence microscopy and Western blot analysis. Motility pattern of RGM-1 cells was examined by time-lapse video microscopy and transwell migration assay. The content of TGF-β in Hp-activated fibroblast-conditioned media was determined by ELISA. Results: The supernatant from Hp-activated gastric fibroblasts caused the EMT-like phenotypic diversification of RGM-1 cells. The formation of fibroblastoid cell sub-populations, the disappearance of their collective migration, an increase in transmigration potential with downregulation of E-cadherin and upregulation of N-cadherin proteins, prominent stress fibers, and decreased proliferation were observed. The fibroblast (CAF)-like transition was manifested by increased secretome TGF-β level, α-SMA protein expression, and its incorporation into stress fibers, and the TGF-βR1 kinase inhibitor reduced the rise in Snail, Twist, and E-cadherin mRNA and increased E-cadherin expression induced by CAFs. Conclusion: Gastric fibroblasts which are one of the main targets for Hp infection contribute to the paracrine interactions between Hp, gastric fibroblasts, and epithelial cells. TGF-β secreted by Hp-activated gastric fibroblasts prompting their differentiation toward CAF-like phenotype promotes the EMT-related phenotypic shifts in normal gastric epithelial cell populations. This mechanism may serve as the prerequisite for GC development. K E Y W O R D S cadherin, epithelial-mesenchymal transition, fibroblasts, Helicobacter pylori, transforming growth factor beta | 3 of 14 KRZYSIEK-MACZKA Et Al. | Isolation of conditioned mediaGastric fibroblasts were co-cultured with Hp (cagA+vacA+) strain for 72 hours. Then, the Hp was washed out from fibroblasts and the medium was changed into DMEM with 10% FBS and antibiotics. The culture dishes were maintained in a humidified atmosphere of 5% CO 2 at 37°C for 4 hours, and then, the incubatory fluid was again replaced with fresh portion of the medium. Fibroblasts were then left in fresh medium for 96 hours. After 96 hours, the supernatant was collected. The same procedure was applied to the control, noninfected fibroblast culture.

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Prognostic value of Systemic immune-inflammation index in cancer: A meta-analysis

Cited by 276 publications

References 37 publications

Systemic immune‐inflammation index (SII) predicted clinical outcome in patients with coronary artery disease

Systemic immune‐inflammation index (SII) predicted clinical outcome in patients with coronary artery disease

Nomogram Based on Systemic Immune-Inflammation Index to Predict Survival of Tongue Cancer Patients Who Underwent Cervical Dissection

Helicobacter pylori‐activated gastric fibroblasts induce epithelial‐mesenchymal transition of gastric epithelial cells in vitro in a TGF‐β‐dependent manner

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