Low Systemic Immune-inflammation Index Research Articles

The Prognostic Significance of Systemic Immune-Inflammation Index in Patients With Glioblastoma

Inflammation has been demonstrated to play a major role in tumorigenesis and tumor progression. Studies have demonstrated systemic immune-inflammation index (SII) correlates with patient survival in various solid malignancies such as non-small cell lung cancer. However, limited information is available on the prognostic implication of SII index in patients with Glioblastoma undergoing standard Stupp protocol: resection followed by radiotherapy with concurrent and maintenance temozolomide.We retrospectively reviewed 158 patients who underwent standard Stupp protocol for glioblastoma with sufficient laboratory assessment from 2003 - 2018. SII index was determined using a complete metabolic count obtained at the start of treatment and calculated as platelet count × neutrophil count/lymphocyte count. Optimal SII cutoff value was determined by ROC curve analysis. The study cohort was subsequently stratified based on SII cutoff for further comparative analysis using Cox regression. Chi-squared analysis was used to compare categorical variables.The median follow up time of the entire group was 8.4 months. At an optimal SII cutoff of 1635 (AUC 67.7%, P < 0.001), 62 patients (39.2%) were designated in the high SII group and 96 patients (60.8%) were designated in the low SII group. Median OS in high and low SII group was 7.6 months and 15.2 months respectively (P = 0.007). Achieving a gross total resection was associated with low SII (P = 0.020). Age and gender were not associated with SII. In the cox regression analysis, only high SII was independently associated with a worse OS (HR: 2.37, 95% CI: 2.83-1.91, P < 0.001).High SII scores were independently associated with worse OS in patients with Glioblastoma undergoing Stupp Protocol. This study suggests that SII may be an effective pre-treatment prognostic indicator of patient mortality. SII may be a beneficial clinical tool to identify patients with poorer prognosis who may not benefit from aggressive therapy and instead opt for hypofractionation treatment, monomodality treatment, or even best supportive care. Furthermore, the relationship between SII with immunotherapy remains unknown and an investigation of the therapeutic potential in the setting of elevated SII is warranted.M. Hung: None. P. Xu: None. B.G. Coutu: None. C. Zhang: Research Grant; University of Nebraska Medical Center.

Prognostic impact of immune inflammation biomarkers in predicting survival and radiosensitivity in patients with non-small-cell lung cancer treated with chemoradiotherapy.

The purpose of this retrospective study was to investigate the prognostic impact of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), derived NLR (dNLR) and systemic immune-inflammation index (SII) in predicting outcomes for patients with locally advanced non-small-cell lung cancer (NSCLC). The secondary endpoint was to evaluate the radiosensitivity in terms of response rate. Newly diagnosed locally advanced NSCLC patients were enrolled. Immune inflammation biomarkers were calculated from baseline blood samples. Patients were stratified in two groups based on optimal cut-off values for each biomarker. The associations between biomarkers and overall survival (OS), progression-free survival (PFS), local regional recurrence-free survival (LRRFS), and also response to radiotherapy were analysed. A total of 392 patients were included. Five-year OS, PFS and LRRFS rates were 14.6%, 12.1%, and 13.4% respectively. Optimal cut-off values for NLR, PLR, dNLR and SII were 3.07, 166, 2.02 and 817 respectively. Low NLR (HR 1.73, 95% CI 1.34-2.24, P < 0.001), low PLR (HR 1.37, 95% CI 1.06-1.76, P = 0.013), low dNLR (HR 1.66, 95% CI 1.29-2.13, P < 0.001) and low SII (HR 1.63, 95% CI 1.18-2.04, P < 0.001) were independent prognostic factors for OS. Low NLR, PLR, dNLR and SII were also significant prognostic factors for PFS and LRRFS. Low NLR, low dNLR and low SII groups had better radiosensitivity than compared with high NLR, high dNLR and high SII groups (P = 0.001, P = 0.001 and P = 0.012). NLR, PLR, dNLR and SII were independently associated with improved OS, PFS and LRRFS. Low NLR, dNLR and SII groups had better radiosensitivity. Immune inflammation biomarkers are promising prognostic predictors which can be obtained easily and inexpensively.

A novel prognostic biomarker for cutaneous malignant melanoma: red cell distribution width (RDW) to lymphocyte ratio.

It is well-known that inflammation plays a significant role in cancer formation and prognosis. Both lymphocyte count and red cell distribution width (RDW) has been used to predict prognosis in various cancers as an indicator of inflammation. Yet, the role of RDW-lymphocyte ratio (RLR) in determining prognosis is still unknown. We aimed to determine the prognostic role of RLR in cutaneous malignant melanoma (MM). One hundred fifteen patients with MM were included in the study retrospectively. The relationship of the clinical-pathological data with overall survival (OS) and progression-free survival (PFS) was analyzed using Kaplan-Meier curves. The cut-off values of neutrophil to lymphocyte ratio, systemic immune-inflammation index (SII), prognostic nutritional index (PNI) and RLR were determined as 2, 487, 51.5 and 6.52, respectively. OS was significantly longer in the low SII, high PNI, low RLR group, while PFS was longer in groups with high PNI and low RLR. In univariate analysis, it was determined that PFS was significantly correlated with Eastern Cooperative Oncology Group (ECOG) performance, TNM stage, PNI and RLR. Moreover, in univariate analysis, a significant correlation was determined between OS and age, ECOG performance, TNM stage, adjuvant interferon, SII, PNI and RLR. In multivariate analysis, ECOG performance, TNM stage and RLR were determined as independent prognostic factors for PFS, while TNM stage and RLR were found to be independent prognostic factors for OS. RLR could be a novel prognostic marker for both PFS and OS in patients with cutaneous MM.

Post treatment NLR is a predictor of response to immune checkpoint inhibitor therapy in patients with esophageal squamous cell carcinoma

BackgroundIn view of the fact that peripheral blood parameters have been reported as predictors of immunotherapy to various cancers, this study aimed to determine the predictors of response to anti-programmed death-1 (anti-PD-1) therapy in patients with esophageal squamous cell carcinoma (ESCC) from peripheral blood parameters.MethodsA retrospective analysis was conducted to investigate the predictive value of peripheral blood parameters including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR) and systemic immune-inflammation index (SII) in the response to anti-PD-1 antibody treatment. 119 ESCC patients receiving combined treatment including anti-PD-1 antibody were enrolled in this study.ResultsThe median progression-free survival (PFS) of all ESCC patients was 3.73 months. PFS rate in ESCC patients with low NLR at 6 weeks post treatment was higher than patients with high NLR (HR = 2.097, 95% CI 0.996–4.417, P = 0.027). However, PFS rate in ESCC patients with low NLR at baseline (HR = 1.060, 95% CI 0.524–2.146, P = 0.869) or 3 weeks post treatment (HR = 1.293, 95% CI 0.628–2.663, P = 0.459) was comparable with high NLR. And no statistically different was found in PFS rate between low PLR and high PLR at baseline (HR = 0.786, 95% CI 0.389–1.589, P = 0.469), 3 weeks post treatment (HR = 0.767, 95% CI 0.379–1.552, P = 0.452) or 6 weeks post treatment (HR = 1.272, 95% CI 0.624–2.594, P = 0.488) in ESCC patients. PFS rate was also comparable between low MLR and high MLR at baseline (HR = 0.826, 95% CI 0.408–1.670, P = 0.587), 3 weeks post treatment (HR = 1.209, 95% CI 0.590–2.475, P = 0.580) or 6 weeks post treatment (HR = 1.199, 95% CI 0.586–2.454, P = 0.596). PFS rate was similar between patients with low SII and high SII at baseline (HR = 1.120, 95% CI 0.554–2.264, P = 0.749), 3 weeks post treatment (HR = 1.022, 95% CI 0.500–2.089, P = 0.951) and 6 weeks post treatment (HR = 1.759, 95% CI 0.851–3.635, P = 0.097).ConclusionsNLR at 6 weeks post treatment is a predictor of the response to anti-PD-1 treatment in patients with ESCC.

The predictive value of the ratio of the product of neutrophils and hemoglobin to lymphocytes in non-muscular invasive bladder cancer patients with postoperative recurrence.

PurposeThe purpose of this study was to explore the predictive value of the ratio of the product of neutrophils and hemoglobin to lymphocytes (NHL) in patients with non‐muscular invasive bladder cancer (NMIBC).Materials and MethodsWe retrospectively collected clinical and pathological data of patients with NMIBC who underwent transurethral resection of bladder tumor (TURBT) at our hospital between 2013 and 2018. The ratio of neutrophils to lymphocytes (NLR), the Systemic Immune Inflammation Index (SII), and NHL were obtained based on routine blood settlement within a week before surgery. The receiver operating characteristic curve was used to determine the optimal cutoff value of each index, and different groups were grouped accordingly. Kaplan‐Meier survival curve and Cox regression model were used to study the factors affecting the prognosis of NMIBC patients.ResultsThere was significant difference in recurrence‐free survival (RFS) rate between the high NLR group and the low NLR group, the high SII group and the low SII group, and the high NHL group and the low NHL group. Cox univariate regression analysis showed that tumor number, tumor size, tumor pathological grade, tumor pathological stage, NLR, SII, and NHL were related to postoperative RFS in patients with NMIBC. The tumor number, tumor pathological grade, SII, and NHL were independent predictors of RFS in multivariate analysis.ConclusionsThe preoperative clinical inflammatory indexes NLR, SII, and NHL have certain predictive value for postoperative RFS in NMIBC patients.

Systemic immune-inflammation index as a prognostic marker for distal cholangiocarcinoma.

The systemic immune-inflammation index (SII) is a new marker, defined as the platelet count × neutrophil-to-lymphocyte ratio. This study evaluates the SII as a prognostic marker for the overall survival (OS) of patients who underwent pancreatoduodenectomy (PD) for distal cholangiocarcinoma (DCC). One hundred and forty patients who underwent PD for DCC between September, 2002 and December, 2015 at our hospital were divided into a low SII (SII < 1450) group and a high SII (SII ≥ 1450) group. We compared the clinicopathological characteristics and OS of the two groups retrospectively and used multivariate analyses to identify the prognostic factors for OS. The low and high SII groups comprised 119 and 21 patients, respectively. OS was better in the low SII group than in the high SII group, with median survival times of 81 and 26months, respectively (p < 0.001). Multivariate analyses revealed that portal vein resection (hazard ratio [HR], 9.58; p < 0.001), SII ≥ 1450 (HR, 2.05; p = 0.041), microscopic venous invasion (HR, 2.04; p = 0.005), and pN1 (HR, 1.73; p = 0.034) were independently associated with poor survival. The SII may be useful for predicting the long-term survival of patients with DCC after PD.

Significance of a preoperative systemic immune-inflammation index as a predictor of postoperative survival outcomes in gastric cancer

BackgroundSince inflammation and the immune system contribute to the development and progression of malignancies, parameters that reflect a host’s immune-inflammatory status may be useful prognostic indicators of gastric cancer (GC). The present study examined the clinical significance of a preoperative systemic immune-inflammation index (SII) for predicting postoperative survival outcomes in GC.MethodsA total of 447 patients who underwent curative gastrectomy for GC were included in the present study. SII was calculated as platelet count × neutrophil count/lymphocyte count. The prognostic impact of preoperative SII was examined using univariate and multivariate analyses.ResultsPreoperative SII ranged between 105 and 4455 (median 474), and the optimal cutoff value for predicting overall survival (OS) was 395 based on a receiver operating characteristic curve. The 5-year OS rate of the SII ≥ 395 group was 80.0%, which was significantly worse than that (92.7%) of the SII < 395 group (p < 0.001). The multivariate analysis identified SII ≥ 395 (hazard ratio [HR] 2.95; 95% confidence interval [CI] 1.49–6.39; p = 0.001), heart disease (HR 2.14, 95% CI 1.07–4.07), C-reactive protein ≥ 0.5 (HR 2.45, 95% CI 1.15–4.94), pT4 (HR 4.46, 95% CI 2.44–8.14), and pN+ (HR 4.02, 95% CI 2.10–7.93) as independent predictors of worse OS. Peritoneal recurrence was more frequent in the high SII group than in the low SII group (p = 0.028).ConclusionPreoperative SII may be a useful predictor of postoperative survival outcomes in GC. The meticulous surveillance of GC relapse, particularly peritoneal dissemination, is necessary for patients with SII ≥ 395 even after curative gastrectomy.

Prognostic Significance of Systemic Immune-Inflammation Index in Patients With Diffuse Large B-Cell Lymphoma.

ObjectiveThe systemic immune-inflammation index (SII) based on neutrophil, platelet and lymphocyte counts, is a prognostic biomarker in some solid cancers. However, the prognostic value of SII has not yet been validated. This study was to evaluate the role of SII in predicting survival for patients with diffuse large B cell lymphoma (DLBCL).MethodsWe retrospectively investigated 224 patients with DLBCL between August 2005 and October 2018. Kaplan–Meier analysis and Cox proportional hazard models were used to assess the prognostic value of SII.ResultsIn the ROC curve analysis, SII had the highest AUC and was more accurate as a prognostic factor. Patients with higher SII tended to have higher level of LDH, more advanced stage, poor PS, and high IPI score compared with low SII group. In univariate analyses, SII, PLR and NLR were all prognostic for progression-free survival and overall survival. Moreover, only SII, older age, HBSAg-positive and IPI were the independent prognostic factors for patients in multivariate analysis. The nomogram based on SII, older age, HBSAg status and IPI showed accurate prognostic ability for predicting 3-years and 5-years survival rates (c-index, 0.791) compared to the IPI alone (c-index, 0.716).ConclusionSII was a powerful tool for predicting outcome in patients with DLBCL. It might assist the separation of high-risk patients among patients with the same IPI.

Prognostic Value of the C-Reactive Protein/Albumin Ratio and Systemic Immune-Inflammation Index for Patients With Colorectal Liver Metastasis Undergoing Curative Resection.

Background: We evaluated the prognostic value of C-reactive protein/albumin (CAR) and systemic immune-inflammation index (SII), which we calculated as neutrophil × platelet/lymphocyte) in patients with colorectal liver metastasis (CRLM) after curative resection. Methods: We retrospectively enrolled 283 consecutive patients with CRLM who underwent curative resection between 2006 and 2016. We determined the optimal cutoff values of CAR and SII using receiver operating curve (ROC) analysis. Overall survival (OS)- and recurrence-free survival (RFS)-related to CAR and SII were analyzed using the log-rank test and multivariate Cox regression methods. Results: We found that a high CAR was significantly associated with poor OS (P < 0.001) and RFS (P = 0.008) rates compared with a low CAR; a high SII was significantly associated with poor RFS (P = 0.003) rates compared with a low SII. The multivariate analysis indicated that CAR was an independent predictor of OS (hazard ratio [HR] = 2.220; 95% confidence interval [CI] = 1.387–3.550; P = 0.001) and RFS (HR = 1.494; 95% CI = 1.086–2.056; P = 0.014). The SII was an independent predictor of RFS (HR = 1.973; 95% CI = 1.230–3.162; P = 0.005) in patients with CRLM. Conclusion: We proved that CAR was an independent predictor of OS and RFS in patients with CRLM who underwent curative resection, and that the prognostic value of CAR was superior to that of SII.

Systemic Immune-Inflammation Index Is a Prognostic Predictor in Patients with Intrahepatic Cholangiocarcinoma Undergoing Liver Transplantation.

Background It was reported that systemic immune inflammation index (SII) was related to poor prognosis in a variety of cancers. We aimed to investigate the ability of the prognostic predictors of SII in patients with intrahepatic cholangiocarcinoma (iCCA) undergoing liver transplantation (LT). Methods The 28 iCCA patients who underwent LT at our hospital between 2013 and 2018 were reviewed. Kaplan–Meier survival curves and Cox regression analyses were used to evaluate the prognostic significance of SII. Patients were divided into the high and low SII groups according to the cut-off value. Results The 1-, 3-, and 5-year OS rates were significantly lower in the high SII group (85.7%, 28.6%, and 21.4%, respectively) than in the low SII group (92.9%, 71.4%, and 57.2%, respectively; P = 0.009). The 1-, 3-, and 5-year RFS rates were, respectively, 57.1%, 32.7%, and 21.8% in the high SII group and 85.7%, 61.1%, and 61.1% in the low SII group (P = 0.021). SII ≥ 447.48 × 109/L (HR 0.273, 95% CI 0.082–0.908; P = 0.034) was an independent prognostic factor for OS. Conclusions Our results showed that SII can be used to predict the survival of patients with iCCA who undergo LT.

Systemic immune-inflammation index predicts prognosis in patients with different EGFR-mutant lung adenocarcinoma.

Lung cancer is the most common type of cancer worldwide with a high mortality rate. The specific tyrosine kinase inhibitors of epidermal growth factor receptor (EGFR) have made enormous strides in non-small-cell lung cancer (NSCLC) treatment. The novel systemic immune-inflammation index (SII), a parameter that integrates lymphocytes, neutrophils, and platelets, has been found to play the vital role of a marker for predicting survival and recrudescence in various tumors.We retrospectively examined 102 patients with different EGFR-mutant lung adenocarcinomas. Survival analysis was performed using the Kaplan-Meier method with the log-rank test. Cut-off points were identified using the receiver operating characteristic curves with the maximum log-rank values. The Cox proportional hazards regression, expressed as p value, hazards regression, and 95% confidence interval, was conducted to assess the prognostic values of variables in overall survival (OS)/ progression-free survival (PFS).Lower SII was associated with prolonged survival in patients with different EGFR mutant lung adenocarcinomas in both variable and multivariable analyses.SII before treatment was a powerful indicator for the PFS and OS of patients who received the first-generation EGFR-TKI.

Association between systemic immune-inflammation index and neoadjuvant chemotherapy efficacy as well as prognosis in triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is a highly aggressive subtype of breast cancer with a relatively poor prognosis. Neoadjuvant chemotherapy (NAC) is the main treatment method. Due to the heterogeneity of the tumor, the chemotherapy response of TNBC patients is significantly different. Inflammation is closely related to the occurrence and development of cancer. The systemic immune-inflammation index (SII) is an indicator that can comprehensively reflect the state of systemic inflammation. This study aims to explore the association between SII and the NAC efficacy as well as the prognosis in TNBC. The data of TNBC patients who underwent NAC and systemic treatment in Xiangya Hospital of Central South University from January 2015 to June 2019 were collected. According to the inclusion and exclusion criteria, 231 TNBC patients were finally included. The pre-NAC SII was calculated according to the blood routine results of the patients at 1 week before chemotherapy, and the patients were divided into a pre-NAC low SII group (SII<412, 115 cases) and a pre-NAC high SII group (SII≥412, 116 cases). The SII after chemotherapy was calculated according to the blood routine results of the patients at 2 to 3 months after the end of chemotherapy, and the patients were divided into a low SII group after chemotherapy (SII<474, 115 cases) and a high SII group after chemotherapy (SII≥474, 116 cases). Pearson's chi-square test was used to analyze the relationship between SII and other clinical characteristics of TNBC patients, and the relationship between the NAC efficacy and clinical characteristics of TNBC patients. Binary logistic regression analysis was used to find independent factors that affect the efficacy of NAC in TNBC patients. Kaplan-Meier curve analysis was used to analyze factors affecting the prognosis of TNBC patients. Cox regression model was used to find independent factors affecting the prognosis of TNBC patients. Before NAC, the differences in SII between groups with different ages and tumor sizes were significant (P=0.007 and P=0.002, respectively); after chemotherapy, there were no significant differences in SII between different ages, tumor sizes, histological grades, lymph node staging, and Ki-67 groups (all P>0.05). There were 115 patients with low SII before NAC, with a pathological complete response (pCR) rate of 15.7%; there were 116 patients with high SII before NAC, with a pCR rate of 6.0%. Patients with low SII before NAC had a higher pCR rate than patients with high SII before NAC, and the difference was statistically significant (P=0.019).There were 156 patients with lymph node staging pN0, with a pCR rate of 14.7%; and there were 75 patients with lymph node staging pN1-pN2, with a pCR rate of 2.7%. Patients with lymph node staging pN0 had a higher pCR rate than those with lymph node staging pN1-pN2, and the difference was significant (P=0.006). During the follow-up, 34 patients had local recurrence or distant metastasis. The Kaplan-Meier survival curve showed that the 3-year disease-free survival (DFS) rates for patients with low SII before NAC and high SII before NAC were 87.8% and 82.8%, respectively, and the former was significantly higher than the latter (P=0.005); the 3-year DFS rates for patients with tumor sizes of T1-T2 and T3 were 89.0% and 67.5%, respectively, and the former was significantly higher than the latter (P=0.001); the 3-year DFS rates for patients with lymph node staging of pN0 and pN1-pN2 were 87.8% and 82.8%, respectively, and the former was significantly higher than the latter (P=0.009). Cox analysis showed that SII before NAC and tumor size were independent influencing factors of patients' DFS (P=0.038, P=0.010, respectively). SII has important clinical significance in predicting the efficacy and prognosis of NAC in TNBC patients, and it has the potential to be a biomarker.

Systemic inflammation is associated with inferior disease control and survival in stage III non-small cell lung cancer

BackgroundThe systemic immune-inflammation index (SII) correlates with patient survival in various types of solid malignancies, including non-small cell lung cancer (NSCLC). However, limited information is available on the prognostic implication and disease-specific survival of SII in patients undergoing definitive chemoradiation therapy (CRT) for stage III NSCLC.MethodsWe retrospectively reviewed 125 patients who underwent curative intent CRT for stage III NSCLC with sufficient laboratory assessment from 2010–2019. SII was calculated at the time of diagnosis as platelet count × neutrophil count/lymphocyte count. Chi-squared analysis was used to compare categorical variables. A Kaplan-Meier analysis was performed to estimate progression-free survival (PFS), disease specific survival (DSS), and overall survival (OS) rates, with Cox regression used to determine absolute hazards.ResultsAt a median follow-up of 19.7 months, 5-year OS, DSS, and PFS rates were 22.6%, 30.9%, and 13.4%, respectively. A low SII (<1,266) at diagnosis was independently associated with an improved OS (HR: 0.399, 95%, CI: 0.247–0.644, P<0.001), DSS (HR: 0.383, 95%, CI: 0.228–0.645, P<0.001), and PFS (HR: 0.616, 95%, CI: 0.407–0.932, P=0.022). We did not detect an association between SII and freedom from recurrence (FFR), freedom from locoregional recurrence (FFLRR), or freedom from distant recurrence (FFDR). NSAID (1,483.4 vs. 2,302.9, P=0.038) and statin usage (1,443.9 vs. 2,201.7, P=0.046) were associated with a lower SII while COPD exacerbations (2,699.7 vs. 1,573.7, P=0.032) and antibiotic prescriptions (2,384.6 vs. 1,347.9, P=0.009) were associated with an elevated SII. These factors were not independently associated with improved survival outcomes.ConclusionsLow SII scores were independently associated with improved OS, DSS, and PFS rates in patients with stage III NSCLC undergoing definitive CRT. NSAIDs and statin usage may be associated with lower SII at diagnosis of NSCLC. This study suggests that SII may be an effective prognostic indicator of patient mortality. Further investigation of the therapeutic potential of these agents in patients with an elevated SII in this setting may be warranted.

The value of preoperative systemic immune-inflammation index in predicting vascular invasion of hepatocellular carcinoma: a meta-analysis.

Vascular invasion and systemic immune-inflammation index (SII) are risk factors for the prognosis of patients with hepatocellular carcinoma. At present, the correlation between the two is not clear. This meta-analysis explored the relationship between preoperative SII and vascular invasion in patients with hepatocellular carcinoma. According to the search formula, the Pubmed, Embase, Cochrane, Web of Science, and CNKI databases were searched for the relevant research until March 2020. After the quality evaluation of the included literature, the odds ratio (OR) and its corresponding 95% confidence interval (CI) were used as the effect measure. Stata 15. 0 software was used for statistical analysis. The meta-analysis eventually included seven retrospective cohort studies of 3583 patients with hepatocellular carcinoma. The results showed that the choice of SII cut-off value affects SII's efficiency in predicting the risk of vascular invasion. In the cohort of studies with appropriate SII cut-off value, the high SII preoperative group had a higher risk of vascular invasion (OR=2.62; 95%CI: 2.07-3.32; P=0.000) and microvascular invasion (OR=1.82; 95%CI: 1.01-3.25; P=0.045) than the low SII group. The tumor diameter (OR=2.88; 95%CI: 1.73-4. 80; P=0.000) of the high SII group was larger than that of the low SII group. There was no publication bias in this study (Begg's test, P=0.368). As a routine, cheap, and easily available index, SII can provide a certain reference value for clinicians to evaluate vascular invasion before operation.

Systemic Immune-Inflammation Index Is Superior to Neutrophil to Lymphocyte Ratio in Prognostic Assessment of Breast Cancer Patients Undergoing Neoadjuvant Chemotherapy

Results SII, NLR, and PLR did not define patient groups with distinct clinicopathological characteristics. SII, NLR, and PLR cut-off values were 547, 2.13, and 88.23, as determined by ROC analysis; the corresponding areas under the curve (AUCs) were 0.625, 0.555, and 0.571, respectively. Cox regression models identified SII as independently associated with OS. Patients with low SII had prolonged OS (65 vs. 41 months, P = 0.017, HR: 3.24, 95% CI: 1.23-8.55). In the Z test, the difference in AUC between SII and NLR was statistically significant (Z = 2.721, 95% CI: 0.0194-0.119, P = 0.0065). Conclusion Our study suggests that the pretreatment SII value is significantly correlated with OS in breast cancer patients undergoing NAC and that the prognostic utility of SII is superior to that of NLR and PLR.

Role of systemic immune-inflammation index in asthma and NSAID-exacerbated respiratory disease.

Asthma is a heterogeneous disease characterized by chronic progressive airway inflammation. Although the disease has numerous phenotypes, there are no practical biomarkers for distinguishing the phenotypes from one another. To address this challenge, we aimed to reveal whether the systemic immune-inflammation index (SII), an important indicator of systemic inflammation and prognosis in various malignancies and vasculitis, can be used for distinguishing between asthma and NSAID-exacerbated respiratory disease (NERD). The study enrolled 105 patients (asthma: n = 69; NERD: n = 36). SII was calculated using the formula of neutrophil X platelet/lymphocyte number. Major risk factors, namely ACT score, eosinophil level, total IgE level, N-L ratio (NLR), P-L ratio (PLR), and SII, were evaluated by logistic regression analysis. No significant differences were found between the clinical features of the two study groups. Patients with an SII value ≥895.6 had a probability of having NERD with a sensitivity of 30.56%, whereas those with a lower SII had a probability of having asthma with a sensitivity of 92.65%. In the logistic regression analysis, no risk factor was determined for identifying asthma or NERD. The N-L ratio was found to be the risk factor affecting categorized SII (OR=264.2, 95% CI 9.9-7046.5, P=0.001). This is the first study to evaluate SII as a tool for differentiating asthma phenotypes. The presence of SII below the cutoff value can help exclude the diagnosis of NERD. There is a need for large-scale prospective studies to compare different phenotypes and determine the optimal cutoff value.

Prognostic Value of the Pretreatment Systemic Immune-Inflammation Index in Patients with Colorectal Cancer.

Background Multiple studies have reported the significance of the systemic immune-inflammation index (SII) in the prognosis of colorectal cancer (CRC), but no consensus has yet been reached. The purpose of this study was to systematically assess the prognostic value of SII in patients with CRC. Materials and Methods We performed a systematic literature search in PubMed, Embase, and the Cochrane Library for eligible studies. The correlation between pretreatment SII and overall survival (OS), disease-free survival (DFS), and progression-free survival (PFS) in CRC patients was evaluated by combining the hazard ratio (HR) and 95% confidence interval (CI). Results Twelve studies involving 3919 patients were included. Comprehensive analysis results showed that high SII indicated poor OS in CRC patients (HR = 1.777, 95% CI: 1.328-2.376). Compared with patients with low SII values, patients with high SII had lower PFS (HR = 1.658, 95% CI: 1.189-2.311). Subgroup analysis further verified the above results. Conclusions SII may be a noninvasive and powerful tool for predicting survival outcomes in CRC patients. However, more well-designed studies are needed to validate our findings.

Prognostic Ability Of Systemic Immune-Inflammation Index In Oral Cavity Patients After Curative Surgery And Post-Operative Radiotherapy.

To verify the prognostic ability of preoperative systemic immune-inflammation index (SII) and compare the effect between different markers in oral cavity cancer patients after curative surgery and post-operative chemoradiotherapy (CCRT)/radiotherapy (RT). We reviewed oral cavity cancer patients treated with surgery and RT/CCRT in our hospital from January 2005 to December 2012. Patients having recurrent disease or secondary cancer in 3 years after the index treatment were excluded. We re-classified all staging according to AJCC 8th edition. Patients with multiple risk factors, positive margin or extranodal extension would receive CCRT. The blood sample was obtained within 2 weeks before operation. The sample was excluded if acute infection was noted in medical record. The SII was defined as platelet count multiplied by neutrophil count and divided by lymphocyte count. Chi-square test were used for categorical data. Survival outcome were plotted with Kaplan-Meier method from the first day of RT/CCRT to the date of event of interest (or censored on the last follow-up date). Cox proportional hazard method were used to decide independent predictors of survival. The cut-off values were decided by Youden’s index. Total 995 patients were included, and the median age was 51 years old. Stage 3 and 4 disease accounted for 26.2% and 70.3% patients. 58.8% of these patients have received CCRT. The 5-year and 10-year overall survival (OS) were 57.6% and 44.4%. 5-year local, regional and distant control rate were 77.9%, 85.1% and 80.6% respectively. The cutoff value for SII was 810.6. There were 347(34.9%) patients having high pre-operative SII, and high SII were associate with more advanced T stage patient, buccal cancer patient and tumor depth over 10mm. The multivariate analysis takes all the pathological factors and serum markers, which include neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), lymphocyte-monocyte ratio (LMR) and SII into the exam. Higher SII is an independent poor prognostic factor for distant metastasis and overall survival. Median OS for high SII was 4.9 years, in contrast to the median OS for low SII group, 9.4 years. Higher preoperative SII is an independent prognostic factor for oral cavity patient after curative surgery and radiotherapy. This factor may be associate with poor distant control and warrant a more intensive follow up or more aggressive treatment strategy. All these findings still need further external validation or been studied in a prospective study design.Abstract 3963; TableUnivariateMultivariatep-valueAge >651.26(0.97-1.64)N.S.T stage1.48(1.11-1.97)N.S.CCRT0.66(0.56-0.79)N.S.OP-RT interval >6 wks1.34(1.12-1.59)1.25(1.04-1.51)0.020RT time > 8wk1.88(1.50-2.35)1.57(1.22-2.01)<0.001ENE2.07(1.74-2.45)1.92(1.60-2.30)<0.001Lymphatic invasion1.95(1.44-2.65)1.72(1.26-2.36)0.001high LMR0.71(0.60-0.85)0.80(0.65-0.98)0.030high SII1.42(1.20-1.68)1.35(1.11-1.63)0.002 Open table in a new tab

&lt;p&gt;Predictive Values of Preoperative Prognostic Nutritional Index and Systemic Immune-Inflammation Index for Long-Term Survival in High-Risk Non-Muscle-Invasive Bladder Cancer Patients: A Single-Centre Retrospective Study&lt;/p&gt;

PurposeThis study aimed to investigate the associations between the preoperative prognostic nutritional index (PNI), systemic immune-inflammation index (SII) and overall survival (OS) and cancer-specific survival (CSS) in high-risk non-muscle-invasive bladder cancer (NMIBC) patients who received intravesical instillation of Bacillus Calmette-Guerin (BCG) after transurethral resection of bladder tumour (TURBT).Patients and MethodsWe retrospectively collected data from 387 high-risk NMIBC patients between January 2004 and December 2014. PNI was calculated as total lymphocyte count (109/L)×5+albumin concentration (g/L). SII was calculated as neutrophil count (109/L)×platelet count (109/L)/lymphocyte count (109/L). The cutoff values of PNI and SII were determined through receiver operating characteristic (ROC) analysis. OS and CSS were estimated by Kaplan–Meier analysis. The Log rank test was used to compare differences between the groups. Univariate and multivariate Cox regression analyses were performed to assess the predictive values of PNI and SII for OS and CSS. Additionally, highest-risk NMIBC patients were also divided into low or high groups according to PNI and SII. The OS and CSS of highest-risk NMIBC patients were estimated using Kaplan-Meier analysis with the Log rank test.ResultsThe patients were divided into two groups according to the cutoff values of PNI (<50.17 vs ≥50.17) and SII (<467.76 vs ≥467.76). Kaplan–Meier analysis revealed that low PNI and high SII were associated with poorer OS and CSS in high-risk NMIBC patients. Univariate and multivariate Cox regression analyses revealed that PNI and SII were independent predictive factors for OS and CSS. Kaplan–Meier analysis also revealed that low PNI and high SII were related to poorer OS and CSS in highest-risk NMIBC patients.ConclusionThese results suggest that preoperative PNI and SII, based on standard laboratory measurements, may be useful noninvasive, inexpensive and simple tools for predicting the long-term survival of high-risk NMIBC patients who received intravesical instillation of BCG after TURBT.

Prognostic value of lymphocyte-to-monocyte ratio and systemic immune-inflammation index in non-small-cell lung cancer patients with brain metastases.

Aim: We aimed to evaluate the prognostic values of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR) and systemic immune-inflammation index (SII) in patients with brain metastases from non-small-cell lung cancer (NSCLC). Materials & methods: We conducted Kaplan-Meier analysis and multivariable Cox analysis to evaluate the prognostic values of NLR, PLR, LMR and SII. Results: Kaplan-Meier analysis showed that the patients in low LMR, high NLR, PLR and SII groups were associated with shorter overall survival. Multivariable Cox analysis revealed LMR and SII were independent prognostic factors for overall survival (p = 0.002 and p = 0.004, respectively). Conclusion: LMR and SII are of significant values in clinical prognostic evaluation for patients with brain metastases from NSCLC.