Systemic immune-inflammation index in germ-cell tumours: search for a biological prognostic biomarker

Albany, Costantine

doi:10.1038/bjc.2018.7

Cited by 18 publications

(13 citation statements)

References 14 publications

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“…In addition, our study is novel in its incorporation of SII, a comprehensive hematological index based on the peripheral platelet, neutrophil, and lymphocyte counts, with prognostic significance. SII has already been demonstrated as a strong prognostic predictor in a variety of malignant tumors, [28][29][30][31] including NSCLC managed with chemoradiotherapy or surgery, [12][13][14][15] and our study is the first to date evaluating its predictive value in the setting of SABR for ES-NSCLC, confirming SII to be significantly associated with survival. SII, which incorporates 3 hematological items, was also superior to NLR and PLR as a survival predictor, consistent with a prior study of esophageal cancer.…”

Section: Discussionsupporting

confidence: 74%

Predicting 5-Year Progression and Survival Outcomes for Early Stage Non-small Cell Lung Cancer Treated with Stereotactic Ablative Radiation Therapy: Development and Validation of Robust Prognostic Nomograms

Kang

Ning

Feng

et al. 2020

International Journal of Radiation Oncology*Biology*Physics

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Purpose: Our purpose was to develop predictive nomograms for overall survival (OS), progression-free survival (PFS), and time-to-progression (TTP) at 5 years in patients with early-stage non-small cell lung cancer (ES-NSCLC) treated with stereotactic ablative radiation therapy (SABR). Methods and Materials: The study cohort included 714 ES-NSCLC patients treated with SABR from 2004-2015 with median follow-up of 59 months, divided into training and testing sets (8:2), with the former used for nomogram development.

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Section: Discussionsupporting

confidence: 74%

Predicting 5-Year Progression and Survival Outcomes for Early Stage Non-small Cell Lung Cancer Treated with Stereotactic Ablative Radiation Therapy: Development and Validation of Robust Prognostic Nomograms

Kang

Ning

Feng

et al. 2020

International Journal of Radiation Oncology*Biology*Physics

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“…Lymphocyte, neutrophil, and platelet counts were measured by complete blood count using automated hematology analyzing devices (Coulter ® DxH 800 analyzer) and presented as ×10 3 cells/ml. SII as an exposure variable was derived from platelet count × neutrophil count/lymphocyte count ( 11 , 13 , 34 ). CAP and LSM were designed as outcome variables to measure hepatic steatosis and liver fibrosis.…”

Section: Methodsmentioning

confidence: 99%

Association between SII and hepatic steatosis and liver fibrosis: A population-based study

Xie

Xiao

et al. 2022

Front. Immunol.

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BackgroundThe systemic immune-inflammation index (SII) is a novel marker of inflammation, and hepatic steatosis and fibrosis are associated with inflammation. This study aimed to investigate the possible relationship between SII and hepatic steatosis and fibrosis.MethodsThe datasets from the National Health and Nutrition Examination Survey (NHANES) 2017–2020 were used in a cross-sectional investigation. Multivariate linear regression models were used to examine the linear connection between SII and controlled attenuation parameter (CAP) and liver stiffness measurement (LSM). Fitted smoothing curves and threshold effect analysis were used to describe the nonlinear relationship.ResultsThis population-based study included a total of 6,792 adults aged 18–80 years. In a multivariate linear regression analysis, a significant positive association between SII and CAP was shown [0.006 (0.001, 0.010)]. This positive association in a subgroup analysis was maintained in men [0.011 (0.004, 0.018)] but not in women. Furthermore, the association between SII and CAP was nonlinear; using a two-segment linear regression model, we found an inverted U-shaped relationship between SII and CAP with an inflection point of 687.059 (1,000 cells/µl). The results of the multiple regression analysis showed that the relationship between SII and LSM was not significant (P = 0.263).ConclusionsOur findings imply that increased SII levels are linked to hepatic steatosis, but SII is not linked to liver fibrosis. To confirm our findings, more large-scale prospective investigations are needed.

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“…Recently, the systemic-immune-inflammation index (SII) based on neutrophils, lymphocytes and platelets as a jointed tool has been developed to offer prognostic information in patients with hepatocellular carcinoma, pancreatic cancer and germ-cell tumor [16–18]. This novel integrated prognostic score combining peripheral neutrophils, lymphocytes and platelets is more powerful than individual cell type-based factors in prognostic assessment, presumably due to better reflect the balance of host inflammation and immune status [19–21]. However, the prognostic value of these inflammatory and hematological markers in primary OSCC remains largely unexplored thus far.…”

Section: Introductionmentioning

confidence: 99%

Preoperative systemic immune-inflammation index predicts prognosis of patients with oral squamous cell carcinoma after curative resection

Diao

et al. 2018

J Transl Med

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BackgroundDeregulated inflammation and immune deficit both intricately associate with cancer initiation and progression, which have been increasingly exploited as prognostic biomarkers and therapeutic targets. Recently, systemic immune-inflammation index (SII) based on peripheral neutrophil, lymphocyte and platelet counts serves as a novel and powerful cancer biomarker with prognostic significance in multiple types of malignancies. Here, we sought to evaluate the prognostic value of preoperative SII in patients with primary oral squamous cell carcinoma (OSCC) after curative resection.MethodsTwo independent cohorts with a total number of 309 patients with OSCC from two tertiary referral hospitals were included and defined as training (Nanjing, 138) and validation (Wuxi, 171) cohort, respectively. Preoperative SII in both cohorts was calculated and its optimal cutoff value was initially determined by X-tile software in the training cohort and then verified in the validation cohort.ResultsOur data indicated that high SII (≥ 484.5) was significantly associated with larger tumor size (P < 0.05, Chi square test), reduced overall and disease-free survival (Kaplan–Meir, P < 0.05, Log-rank test). Univariate and multivariate analyses further revealed that SII was an independent prognostic predictor for patient survival. Moreover, the area under receiver operating characteristic curve of SII for survival was significantly greater or comparable to other well-established prognostic parameters, indicative of its satisfactory prediction accuracy and specificity.ConclusionsOur findings reveal that high preoperative SII associates with poor outcome and serves as a non-invasive, low-cost and powerful prognostic predictor for patients with OSCC. This inflammation/immune-related biomarker holds translational potentials to supplement currently prognostic regime to better stratification of patients and treatment planning.Electronic supplementary materialThe online version of this article (10.1186/s12967-018-1742-x) contains supplementary material, which is available to authorized users.

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Systemic immune-inflammation index in germ-cell tumours: search for a biological prognostic biomarker

Cited by 18 publications

References 14 publications

Predicting 5-Year Progression and Survival Outcomes for Early Stage Non-small Cell Lung Cancer Treated with Stereotactic Ablative Radiation Therapy: Development and Validation of Robust Prognostic Nomograms

Predicting 5-Year Progression and Survival Outcomes for Early Stage Non-small Cell Lung Cancer Treated with Stereotactic Ablative Radiation Therapy: Development and Validation of Robust Prognostic Nomograms

Association between SII and hepatic steatosis and liver fibrosis: A population-based study

Preoperative systemic immune-inflammation index predicts prognosis of patients with oral squamous cell carcinoma after curative resection

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