The prognostic value of systemic immune-inflammation index in surgical esophageal cancer patients: An updated meta-analysis

The Global Immune-Nutrition-Information Index (GINI) Is an Independent Prognostic Factor for Esophageal Cancer Patients Who Receive Curative Treatment

Background/Aim

The aim of the present study was to evaluate the clinical impact of the Global Immune-Nutrition-Information Index (GINI) in patients with esophageal cancer (EC) who received curative treatment and to clarify the potential of the GINI as a prognostic factor.

Patients and Methods

Patients who underwent curative resection for EC at Yokohama City University between 2000 and 2020 were consecutively chosen based on their medical records. The GINI was defined as follows: GINI=[C-reactive protein×platelet×monocyte×neutrophil]/[albumin×lymphocyte].

Results

This study included 180 patients. Among them, 67 were categorized into the GINI-low group and 113 were categorized into the GINI-high group, with a cutoff value of 5000. The 3- and 5- year overall survival (OS) rates were 75.6% and 64.9%, respectively, in the GINI-low group and 55.3% and 48.1% in the GINI-high group (p=0.005). According to a multivariate analysis for OS, the GINI was identified as an independent prognostic factor [hazard ratio=2.106, 95% confidence interval=1.252-3.544, p=0.005]. Similar results were observed for RFS. In addition, the GINI affects preoperative tube feeding and the induction rate of neoadjuvant chemotherapy (NAC).

Conclusion

The GINI is a promising biomarker for the treatment and management of EC.

Predicting ipsilateral supraclavicular lymph node pathological complete response: nomogram based on the inflammatory markers

Background

The prediction of ISLN pCR after neoadjuvant chemotherapy (NAC) based on inflammatory markers and its prognostic value have rarely been investigated.

Methods

Patients diagnosed with ISLN-involved breast cancer who received NAC in West China Hospital between September 2009 and December 2020 were enrolled in the derivation cohort for model construction and survival analysis, and patients with the same criteria between January 2021 and July 2024 were involved in validation cohort for external validation. After randomly dividing patients into training and testing groups at 7:3 ratio, a nomogram predicting ISLN pCR was constructed based on logistic regression in training group. Internal validation was performed in the testing group and external validation was performed in the independent validation cohort. The ROC curves were applied to validate the accuracy of the model. Survival analysis was performed using Kaplan-Meier plots.

Results

A total of 120 eligible patients were involved in the derivation cohort to establish the nomogram (84 patients in training group and 36 patients in testing group), and 45 patients were involved in the independent validation cohort for external validation of the nomogram. Pretreatment NLR and hormone receptor (HR) status, as well as preoperative SII, CEA, CA15-3 and anti-HER2 therapy were included in the nomogram predicting ISLN pCR. The AUC were 0.906 (95% CI 0.837-0.975, P<0.001), 0.888 (95% CI 0.751-1.000, P<0.001) and 0.828 (95% CI 0.703-0.953, P< 0.001) in training, testing groups and the validation cohort respectively. ISLN pCR was significantly associated with better prognosis (all P<0.05).

Conclusion

Inflammatory factors combined with tumor makers, hormone receptor status and anti-HER2 therapy could predict ISLN pCR effectively, which was significantly associated with improved survival outcomes.

Association Between Systemic Immune-Inflammation Index and Psoriasis, Psoriasis Comorbidities, and All-Cause Mortality: A Study Based on NHANES

OBJECTIVE

The relationship between systemic immune-inflammation index (SII) and psoriasis and its prognosis is not yet clear. In this study, the correlation between SII and psoriasis, psoriasis comorbidities, and all-cause mortality was investigated based on the National Health and Nutrition Examination Survey (NHANES).

METHODS

The study population was derived from five NHANES cycles: 2003-2006, 2009-2014, and survival follow-up was as of December 31, 2019. The association between SII and psoriasis and its comorbidities was analyzed using weighted multivariate logistic regression models. Weighted COX regression was used to calculate hazard ratios (HRs) and the corresponding 95% confidence intervals (CIs). Restricted cubic spline, subgroup and sensitivity analyses were also used. Logarithmic conversion was performed on SII(log2SII) to reduce the impact of outliers.

RESULTS

A total of 21,431 participants were included in this study. As a continuous variable, log2SII was significantly associated with psoriasis in the fully adjusted model [OR = 1.20(1.04-1.39), p = .01]. log2SII remained positively associated with psoriasis after excluding participants with a history of cancer or cardiovascular disease (CVD), or non-Hispanic black participants. Among psoriasis patients, log2SII was significantly associated with metabolic syndrome (MetS) [OR = 1.68(1.19,2.38), p = .004] and all-cause mortality [HR = 1.48(1.09,1.99), p = .01]. Similar results were consistently observed when SII was analyzed as a categorical variable (in quartiles).

CONCLUSION

This study suggested a positive association between SII and the prevalence of psoriasis. Among psoriasis patients, SII was positively correlated with MetS and all-cause mortality.

Systemic immune inflammation index and gastric cancer prognosis: A systematic review and meta‑analysis

The present study aimed to pool the available data on the associations between the systemic immune inflammation index (SII) and overall survival (OS) or recurrence-free survival (RFS) in patients with gastric cancer (GC). A systematic search was conducted in the PubMed, EMBASE and Scopus databases for observational studies, and a random effects model was used to conduct the statistical analysis. Pooled effect sizes were reported as hazard ratios (HRs) with corresponding 95% confidence intervals (CI). Data from 30 studies (24 conducted in China) with follow-ups ranging between 15.5 and 65.6 months were analyzed. Patients with GC and high SII levels had poor OS (HR, 1.53; 95% CI, 1.34-1.75) and recurrence free survival (HR, 1.41; 95% CI, 1.17-1.70). These increased risks were present irrespective of the treatment strategy (surgical or non-surgical management), the sample size (<500 and ≥500) and the cut-off used to define high and low SII (<600 and ≥600 x109 cells/l). The results of this meta-analysis suggest that high pretreatment SII levels were associated with poor OS and RFS in patients with GC.

Correlation between inflammatory markers over time and disease severity in status epilepticus: a preliminary study

Objectives

Convulsive status epilepticus (CSE) is a major subtype of status epilepticus that is known to be closely associated with systemic inflammation. Some important inflammatory biomarkers of this disorder include the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune inflammation index (SII), and pan-immune inflammation value (PIV). This study aimed to determine the NLR, PLR, MLR, SII, and PIV levels before and after treatment in adult patients with CSE and investigated the relationship of these parameters with disease severity.

Methods

This retrospective study analyzed data from 103 adult patients with CSE and 103 healthy controls. The neutrophil, monocyte, platelet, and lymphocyte counts, as well as the NLR, PLR, MLR, SII, and PIV, were compared in adult patients with CSE during acute seizures (within 2 h of admission) and after treatment relief (1-2 weeks of complete seizure control). Furthermore, multivariate linear regression analysis investigated the relationship between NLR, PLR, MLR, SII, and PIV with the Status Epilepticus Severity Score (STESS).

Results

The data revealed significant differences (p < 0.05) in neutrophils, monocytes, lymphocytes, NLR, PLR, MLR, SII, and PIV between adult patients with CSE during acute seizures and after treatment relief. The average neutrophil count was high during acute seizures in the patient group and decreased after remission. In contrast, the average lymphocyte count was lower after remission (p < 0.05). Furthermore, significant differences (p < 0.05) were observed in monocytes, lymphocytes, platelets, NLR, PLR, MLR, and PIV levels between adult patients with CSE after remission and the healthy control group. Multivariate linear regression analysis showed no significant correlation between NLR, PLR, MLR, SII, and PIV with STESS.

Conclusion

The results of this study indicated that adult patients with CSE experienced a transient systemic inflammatory response during acute seizures, which gradually returned to baseline levels after remission. However, there was a lack of robust clinical evidence correlating the severity of adult CSE and systemic inflammatory response.

Predictive Value of NLR and PLR in Driver-Gene-Negative Advanced Non-Small Cell Lung Cancer Treated with PD-1/PD-L1 Inhibitors: A Single Institutional Cohort Study

OBJECTIVE

To investigate the predictive value of neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) for the efficacy and prognosis of programmed cell death-1 (PD-1)/programmed cell death-ligand 1 (PD-L1) inhibitors in driver-gene-negative advanced non-small-cell lung cancer (NSCLC).

METHODS

A retrospective analysis of 107 advanced NSCLC patients without gene mutations who received PD-1/PD-L1 inhibitors in our hospital from January 2020 to June 2022 was performed. NLR and PLR were collected before PD-1/PD-L1 inhibitors, the optimal cut-off values of NLR and PLR were determined according to the receiver operating characteristic (ROC) curve, and the effects of NLR and PLR on the efficacy of PD-1/PD-L1 inhibitors in advanced NSCLC patients were analyzed.

RESULTS

A total of 107 patients were included in this study. Receiver operating characteristic analysis showed that the optimal cut-off values of NLR and PLR were 3.825, 179, respectively. Kaplan-Meier curve showed that low baseline levels NLR and PLR were associated with an improvement in both progression-free survival (PFS) (P < .001, < .001, respectively) and overall survival (OS) (P = .009, .006, respectively). In first-line treatment and non-first-line treatment, low baseline levels NLR and PLR were associated with an improvement in PFS. In multivariate analysis, low baseline NLR and PLR showed a strong association with both better PFS (P = .011, .027, respectively) and longer OS (P = .042, .039, respectively).

CONCLUSION

Low baseline NLR and PLR levels are significantly associated with better response in advanced NSCLC patients treated with PD-1/PD-L1 inhibitors, which may be indicators to predict the efficacy of immunotherapy in advanced NSCLC with driver-gene-negative.

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

BACKGROUND

Among malignant neoplasm patients taking immune checkpoint inhibitors (ICIs), it remains unknown how the systemic immune-inflammation index (SII) affects their clinical prognosis. We therefore performed the present meta-analysis by collecting the most recent data, so that SII's prognostic value among ICI-receiving carcinoma patients could be fully clarified.

METHODS

For the prognostic significance evaluation of SII in ICI-receiving carcinoma patients, the combined hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated.

RESULTS

The number of studies enrolled in the present meta-analysis totaled 17, where 1,990 patients were involved. Among the ICI-treated carcinoma patients, a high SII was linked significantly to inferior overall survival (OS) (HR = 2.62, 95% CI = 1.76-3.90), as well as progression-free survival (PFS) (HR = 2.09, 95% CI = 1.48-2.95) (p both <.001). Contrastively, SII was linked insignificantly to the age (OR = 1.08, 95% CI = 0.39-2.98, p = .881), gender (OR = 1.01, 95% CI = 0.59-1.73, p = .959), lymph node (LN) metastasis (OR = 1.41, 95% CI = 0.92-2.17, p = .117), or metastatic site quantity (OR = 1.49, 95% CI = 0.90-2.46, p = .119).

CONCLUSION

There are prominent associations of elevated SII with the poor survival outcomes (both short- and long-terms) among the ICIreceiving carcinoma patients. SII has potential as a reliable and cheap prognostic biomarker in the clinic for carcinoma patients receiving ICIs.

The Value of Preoperative Systemic Immune-Inflammation Index as a Predictor of Prolonged Hospital Stay in Orthopedic Surgery: A Retrospective Study

Purpose

Many risk factors, such as the duration of surgery and higher ASA scores, are associated with longer hospitalization in patients undergoing orthopedic surgery. However, no studies have evaluated the relationship between the preoperative systemic immune-inflammation index (SII) and length of hospital stay in orthopedic surgical patients. Therefore, this study aimed to investigate whether the SII is associated with the length of hospital stay in orthopedic surgery in adults.

Patients and Methods

This was a retrospective cohort study, and data were extracted from electronic health records. Patients were included if they were older than 18 years and had undergone orthopedic surgery between [2016-2021]. The patients were divided into two groups according to the median duration of hospitalization and according to SII cut-off value (high-SII group: ≥799.86, low-SII group: <799.86). Univariate and multivariate linear regression analyses were used to identify the association between SII and length of hospitalization.

Results

A total of 196 patients who underwent orthopedic surgery were included, and 62 were hospitalized for >21 days. There were significant differences in terms of ASA score (P = 0.041). Patients who required a longer hospitalization of >21 days had significantly lower hemoglobin level (P < 0.001), higher duration of surgery (P = 0.015), and increased requirement of ICU admission (P < 0.001). The optimal cut-off value for preoperative SII of 799.86 stratified the patients into high-SII and low-SII groups. Patients in high-SII group had higher median LOHS (22 days) compared to low-SII group (17 days; P = 0.006). In the multivariable linear regression analysis, the SII was significantly related to the length of hospital stay (β = 0.246, 95% confidence interval [CI] 0.000-0.005, P = 0.031).

Conclusion

A high-SII value is associated with an increased risk of longer hospitalization after orthopedic surgery.

The Relationship between Furin and Chronic Inflammation in the Progression of Cervical Intraepithelial Neoplasia to Cancer: A Cross-Sectional Study

OBJECTIVE

The current study aimed to delineate the relationship between furin and chronic inflammation while cervical intraepithelial neoplasia progresses to cancer.

STUDY DESIGN

This cross-sectional study included 81 women who required colposcopic examinations. The study groups were formed based on pathological results: Group I included women with cervical intraepithelial neoplasia (CIN) I (n = 30); Group II included women with CIN II-III (n = 28); and Group III included women with cervical cancer (CC) (n = 23). Furin, ki-67, and p16 levels were evaluated based on immunostaining intensity. The inflammatory indices were calculated in parallel with the literature from routine blood samples retrieved within one week before the procedure.

RESULTS

Furin expression gradually increased from CIN I to CIN II-III and from CIN II-III to CC, respectively (p < 0.001, p = 0.005). NLR, MLR, PLR, and SII were significantly higher in the CC group (p < 0.001). ROC curve analysis unveiled that NLR, MLR, PLR, and SII predicted the presence of CC with a cutoff value of 2.39 for NLR (sensitivity: 91.3%, specificity: 63.8%, AUROC: 0.79, p < 0.001); a cutoff value of 0.27 for MLR (sensitivity: 78.3%, specificity: 72.4%, AUROC: 0.77, p = 0.009); a cutoff value of 123 for PLR (sensitivity: 100%, specificity: 41.4%, AUROC: 0.70, p = 0.04); and a cutoff value of 747 for SII (sensitivity: 69.6%, specificity: 90.7%, AUROC: 0.71, p = 0.014).

CONCLUSION

Furin expression increased gradually in parallel with the severity of cervical intraepithelial neoplasia. The inflammatory indices were higher in the presence of CC and denoted a good discrimination ability for predicting cervical cancer.

The neutrophil-to-lymphocyte ratio as a new prognostic factor in cancers: a narrative review

The increasing incidence of cancer globally has highlighted the significance of early diagnosis and improvement of treatment strategies. In the 19th century, a connection was made between inflammation and cancer, with inflammation recognized as a malignancy hallmark. The neutrophil-to-lymphocyte ratio (NLR), calculated from a complete blood count, is a simple and accessible biomarker of inflammation status. NLR has also been proven to be a prognostic factor for various medical conditions, including mortality classification in cardiac patients, infectious diseases, postoperative complications, and inflammatory states. In this narrative review, we aim to assess the prognostic potential of NLR in cancer. We will review recent studies that have evaluated the association between NLR and various malignancies. The results of this review will help to further understand the role of NLR in cancer prognosis and inform future research directions. With the increasing incidence of cancer, it is important to identify reliable and accessible prognostic markers to improve patient outcomes. The study of NLR in cancer may provide valuable insights into the development and progression of cancer and inform clinical decision-making.

Association between systemic immune-inflammation index and low muscle mass in US adults: a cross-sectional study

BACKGROUND

Chronic inflammatory responses have been reported to be associated with low muscle mass and systemic immune-inflammation index(SII) is a novel indicator of inflammation. The purpose of our study was to clarify the relationship between SII and low muscle mass.

METHODS

This study was a cross-sectional study based on National Health and Nutrition Examination Survey (2011-2018). SII was calculated as the platelet count × neutrophil count/lymphocyte count. Appendicular skeletal muscle index was used to define low muscle mass. The individuals were divided into four groups by the quartile of SII (Q1-Q4). Multivariate weighted logistic regression analysis, smooth curve fitting and subgroup analysis were used to investigate the relationship between SII and sarcopenia. Subgroup analysis were based on demographic and clinical variables.

RESULTS

There were 10,367 individuals enrolled in our final analysis. The overall mean age was 39.39 years and 49.17% were males. The overall prevalence of low muscle mass in the study population was 8.77%. The smooth curve fitting analysis indicated a near-linear relationship between SII and low muscle mass. In multivariate weighted logistic regression analysis, the odds ratio (OR) of Q4 is 1.28 (95% CI, 1.16-1.40) for low muscle mass when compared to lowest quartile of the SII. In subgroup analysis, SII still increased the risk of low muscle mass independently.

CONCLUSION

The increased SII levels were associated with an increased risk of low muscle mass in a large population. Our study increased the understanding between inflammation and low muscle mass. Anti-inflammation therapy may be important for low muscle mass.

Predictive role of pretreatment skeletal muscle mass index for long-term survival of bladder cancer patients: A meta-analysis

PURPOSE

To identify the predictive role of pretreatment skeletal muscle mass index (SMI) for long-term survival of bladder cancer patients.

METHODS

Several databases were searched for studies investigating the relationship between pretreatment SMI and prognosis in bladder cancer. The overall survival (OS) and cancer-specific survival (CSS) were defined as primary and secondary outcomes, respectively. Hazard ratios (HRs) and 95% confidence intervals (CIs) were combined.

RESULTS

Nine studies involving 1476 cases were included. The results demonstrated that a lower pretreatment SMI was significantly related to poorer OS (HR = 1.56, 95% CI: 1.33-1.82, P<0.001) and subgroup analysis based on thresholds of SMI revealed similar results. Besides, pretreatment SMI was also obviously related to CSS (HR = 1.75, 95% CI: 1.36-2.25, P<0.001).

CONCLUSION

Lower pretreatment SMI was associated with worse long-term survival of bladder cancer patients.

Prognostic value of pretreatment systemic immune-inflammation index in Chinese esophageal squamous cell carcinoma patients receiving radical radiotherapy: A meta-analysis

BACKGROUND

The association between pretreatment systemic immune-inflammation index (SII) and long-term survival among Chinese esophageal squamous cell carcinoma (ESCC) patients who received radical radiotherapy remains unclear. The aim of this study was to identify the prognostic role of pretreatment SII in Chinese ESCC patients receiving radical radiotherapy based on current evidence.

METHODS

The PubMed, EMBASE, Web of Science and CNKI databases were searched up to March 18, 2023. Primary and secondary outcomes were overall survival (OS) and progression-free survival (PFS), respectively. The hazard ratios (HRs) with corresponding 95% confidence intervals (CIs) were combined to assess the predictive role of pretreatment SII for long-term survival of Chinese ESCC patients receiving radiotherapy. All statistical analyses were conducted by STATA 15.0 software.

RESULTS

A total of 8 eligibility studies involving 2101 cases were included in this meta-analysis. The pooled results demonstrated that elevated pretreatment SII was significantly related to worse OS (HR = 1.59, 95% CI: 1.24-2.02, P < .001) and PFS (HR = 1.33, 95% CI: 1.13-1.57, P < .001). Besides, subgroup based on TNM stage showed similar results.

CONCLUSION

Pretreatment SII could serve as a novel prognostic factor in Chinese ESCC patients receiving definitive radiotherapy and patients with an elevated SII may experience poorer survival.

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

Background

The 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.

Methods

We 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).

Results

The 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.

Conclusion

Our 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.

Systemic Immune-Inflammatory Index, Tumor-Infiltrating Lymphocytes, and Clinical Outcomes in Esophageal Squamous Cell Carcinoma Receiving Concurrent Chemoradiotherapy

Background

Systemic inflammation may be involved in the entire cancer process as a promoter and is associated with antitumor immunity. The systemic immune-inflammation index (SII) has been shown to be a promising prognostic factor. However, the relationship between SII and tumor-infiltrating lymphocytes (TIL) have not been established in esophageal cancer (EC) patients receiving concurrent chemoradiotherapy (CCRT).

Methods

Retrospective analysis of 160 patients with EC was performed, peripheral blood cell counts were collected, and TIL concentration was assessed in H&E-stained sections. Correlations of SII and clinical outcomes with TIL were analyzed. Cox proportional hazard model and Kaplan-Meier method were used to perform survival outcomes.

Results

Compared with high SII, low SII had longer overall survival (OS) (P = 0.036, hazard ratio (HR) = 0.59) and progression-free survival (PFS) (P = 0.041, HR = 0.60). Low TIL showed worse OS (P < 0.001, HR = 2.42) and PFS (P < 0.001, HR = 3.05). In addition, research have shown that the distribution of SII, platelet-to-lymphocyte ratio, and neutrophil-to-lymphocyte ratio were negatively associated with the TIL state, while lymphocyte-to-monocyte ratio presented a positive correlation. Combination analysis observed that SII^low + TIL^high had the best prognosis of all combinations, with a median OS and PFS of 36 and 22 months, respectively. The worst prognosis was identified as SII^high + TIL^low, with a median OS and PFS of only 8 and 4 months.

Conclusion

SII and TIL as independent predictors of clinical outcomes in EC receiving CCRT. Furthermore, the predictive power of the two combinations is much higher than a single variable.

A Novel Predictor of Pathologic Complete Response for Neoadjuvant Immunochemotherapy in Resectable Locally Advanced Esophageal Squamous Cell Carcinoma

Purpose

Neoadjuvant immunochemotherapy (nICT) for resectable locally advanced esophageal squamous cell carcinoma (LA-ESCC) has attracted widespread attention recently, whose safety and clinical benefit was observed in clinical researches. This study aimed to develop and validate a novel predictor systemic inflammation-tumor markers index (SITI) to predict the pathological complete response (pCR) for resectable LA-ESCC patients receiving nICT.

Patients and Methods

A total of 147 LA-ESCC patients who underwent nICT followed by surgery from February 2020 to April 2022 were included in the study. The dynamic change of inflammatory indexes was compared at baseline, after two cycles of nICT and postoperative one month. Least absolute shrinkage and selection operator (LASSO) regression was performed to avoid collinearity and identify key indexes, with SITI constructed. After univariate and multivariate stepwise forward logistic analyses, a nomogram for pCR prediction was developed.

Results

41(27.9%) patients achieved pCR among 147 resectable LA-ESCC patients received nICT. Compared with baseline, most inflammatory indexes were significantly decreased at postoperative one month. 5 key indexes were identified and then a predictive index named SITI was constructed. The result showed that lower SITI and earlier clinical tumor node metastasis (cTNM) stage were more likely to achieve pCR. The nomogram for pCR prediction had excellent discrimination performance (C-index = 0.791).

Conclusion

The SITI is an independent predictor for pCR in resectable LA-ESCC patients received nICT. To our knowledge, our nomogram is the first model using systemic inflammation-tumor markers for pCR prediction and may be a promising predictor to effectively differentiate pCR for nICT in LA-ESCC patients.

The preoperative systemic immune-inflammation index is associated with an unfavorable prognosis for patients undergoing curative resection of esophageal squamous cell carcinoma after neoadjuvant therapy

PURPOSES

Systemic inflammation and immune status play a critical role in the development and progression of cancers. We evaluated the clinical significance of the preoperative systemic immune-inflammation index (SII) for predicting the long-term outcomes of patients who received neoadjuvant therapy for esophageal squamous cell carcinoma (ESCC).

METHODS

The subjects of this study were 277 patients who underwent curative resection of ESCC after neoadjuvant therapy. The SII was calculated as follows: SII = neutrophil × platelet/lymphocyte counts. Patients were stratified into high and low preoperative SII groups according to the cut-off value calculated by a receiver operating characteristic curve analysis. The Kaplan-Meier method and Cox proportional regression analysis were used to evaluate the correlation of SII to prognosis.

RESULTS

The optimal cutoff of the preoperative SII was set at 700. Patients were categorized into preoperative SII-low (n = 203) and SII-high (n = 74) groups. The preoperative SII was significantly associated with tumor size. The relapse-free survival of patients in the SII-high group was significantly shorter (P = 0.0087) and preoperative SII-high was identified as an independent prognostic factor (hazard ratio [HR] 1.55, 95% confidence interval [CI] 1.06-2.28, P = 0.0229). The prevalence of hematogenous recurrence was significantly higher in the SII-high group. When we stratified patients into three groups with an additional cutoff value of 1200, we observed an incremental decrease in relapse-free survival rates.

CONCLUSIONS

High preoperative SII was associated with shorter relapse-free survival times for ESCC patients who underwent curative resection after neoadjuvant therapy.

Prognostic value of inflammatory markers and clinical features for survival in advanced or metastatic esophageal squamous cell carcinoma patients receiving anti-programmed death 1 treatment

Purpose

This study aims to assess the prognostic value of inflammatory markers and clinical features in advanced or metastatic esophageal squamous cell carcinoma (ESCC) patients receiving anti-programmed death 1 (PD-1) treatment.

Methods

Based on receiver operating characteristic curve (ROC) analysis, Youden's indexes were applied to determine the cut-off values for inflammatory markers, including neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocye ratio (dNLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII). Wilcoxon test was conducted to evaluate the changes in above inflammatory markers. Kaplan-Meier method was utilized to estimate progression-free survival (PFS) and overall survival (OS), and the Log-rank test was used to compare the different survival between groups. Univariate and multivariate Cox regression analyses were performed to assess the prognostic value of inflammatory markers and clinical features.

Results

162 advanced or metastatic ESCC patients receiving anti-PD-1 treatment were enrolled in this retrospective study. The cut-off values of NLR, dNLR, MLR, PLR, and SII were 4.748, 2.214, 0.309, 250.505, and 887.895, respectively. NLR, dNLR, PLR, and SII declined significantly among the partial response (PR) (P<0.001, P<0.001, P=0.036, P<0.001), objective response rate (ORR) (P<0.001, P<0.001, P=0.036, P<0.001), and disease control rate (DCR) (P<0.001, P<0.001, P=0.038, P<0.001) groups, respectively. Significant increases were found in NLR (P<0.001), dNLR (P<0.001), MLR (P=0.001), and SII (P=0.024) when anti-PD-1 treatment failed. Multivariate Cox regression analysis indicated that NLR (P<0.001, P=0.002), lymph node metastasis (P=0.013, P=0.001), Eastern Cooperative Oncology Group Performance Status (ECOG PS) (P=0.008, P=0.002), and treatment lines (P=0.037, P=0.048) were significant prognostic indicators of PFS and OS. Additionally, SII (P=0.016) was also significantly related to OS in ESCC patients. The risk score model showed that low risk patients prolonged PFS and OS than those with middle or high risk (P<0.001, P<0.001).

Conclusion

Inflammatory markers can reflect short-term outcomes of anti-PD-1 treatment for ESCC patients. NLR, lymph node metastases, ECOG PS, and treatment lines are significant prognostic indicators for PFS and OS. And the risk score model constructed based on the above factors has favourable prognostic predictive value.

Prognostic capacity of the systemic inflammation response index for functional outcome in patients with aneurysmal subarachnoid hemorrhage

Objective

We aimed to investigate the relationship between systemic inflammatory response index (SIRI) and functional outcome after aneurysmal subarachnoid hemorrhage (aSAH).

Methods

A retrospective cohort study was performed involving all consecutive aSAH patients admitted to our institution. The modified Rankin Scale (mRS) score was performed to determine the functional outcomes of all patients at 3 months after aSAH. Results were categorized as favorable (mRS score 0-2) and unfavorable (mRS score 3-6). Univariate and multivariate logistic regressive analyses were utilized to identify the prognostic significance of SIRI. To minimize the effects of confounding factors, patients were stratified according to the optimal cut-off value of SIRI with propensity score matching (PSM). Further subgroup analysis was conducted to verify the consistency of our findings and Pearson's correlation analysis was used to assess the relationship between SIRI and the severity of aSAH.

Results

In this study, 350 patients were enrolled and 126 (36.0%) of them suffered unfavorable outcomes. The SIRI of 5.36 × 10⁹/L was identified as the optimal cut-off value. Two score-matched cohorts (n = 100 in each group) obtained from PSM with low SIRI and high SIRI were used for analysis. A significantly higher unfavorable functional outcome rate was observed in patients with high SIRI before and after PSM (p < 0.001 and 0.017, respectively). Multivariate logistic regression analysis demonstrated that SIRI value ≥ 5.36 × 10⁹/L was an independent risk factor for poor outcomes (OR 3.05 95% CI 1.37-6.78, p = 0.006) after adjusting for possible confounders. A identical result was discovered in the PSM cohort. In ROC analysis, the area under the curve (AUC) of SIRI was 0.774 which shown a better predictive value than other inflammatory markers observed in previous similar studies. Pearson's correlation analysis proved the positive association between SIRI and aSAH severity.

Conclusions

Elevated SIRI at admission is associated with worse clinical status and poorer functional outcomes among patients with aSAH. SIRI is a useful inflammatory marker with prognostic value for functional outcomes after aSAH.

Elevated Preoperative NMPR Predicts an Unfavorable Chance of Survival in Resectable Esophageal Squamous Cell Carcinoma

Background and objectives: Combined peripheral neutrophil−platelet indexes reflecting the systemic inflammatory status have been reported to predict the clinical outcome in patients with various types of cancer. However, the prognostic value of combined neutrophil−platelet indexes in operable esophageal squamous cell carcinoma (ESCC) remains unclear. The study introduced a novel combined neutrophil−meanplateletvolume−platelet ratio (NMPR) index and investigated its clinical and prognostic value in patients with operable ESCC receiving curative surgery. Materials and Methods: A retrospective analysis of the clinicopathologic data of 277 consecutive ESCC patients who received curative resection at Zhejiang Cancer Hospital in China between January 2007 and December 2010 was conducted (the training cohort). In addition, the clinicopathologic data of 101 resectable ESCC patients at Renmin Hospital of Hubei University of Medicine between December 2018 and June 2021 were collected (the external validation cohort). The optimal cutoff value of NMPR concerning overall survival (OS) in the training cohort was determined by X-tile software. Univariate and multivariate Cox regression analyses were used to evaluate the prognostic value of NMPR along with other variables in the training cohort, which was further validated with the same cutoff value in the external validation cohort. Significant predictors of OS were used to construct the nomogram, of which the discrimination and calibration was evaluated by concordance index (C-index) and calibration plots. Results: With a cutoff value of 16.62, the results from both the training and external validation cohorts supported the association of high NMPR (>16.62) with increased tumor length and advanced T stage but not with other variables. In the training cohort, a significant association between shorter OS and high NMPR (p = 0.04) as well as high CRP (p < 0.001), poor tumor differentiation (p = 0.008), advanced T stage (p = 0.006), advanced N stage (p < 0.001) and high CEA (p = 0.007) was revealed. Additionally, the high NMPR was verified to independently predict unfavorable OS (p = 0.049) in the external validation cohort. The C-index of the OS nomogram cooperating significant predictors in the training cohort was 0.71 and the calibration plots of the OS nomogram fitted well. Conclusions: The present study demonstrates that high NMPR is an independent predictor of unfavorable OS in resectable ESCC patients without neoadjuvant therapy.

Prognostic significance of systemic immune-inflammation index in patients with nasopharyngeal carcinoma: a meta-analysis

BACKGROUND

Previous studies have investigated the prognostic value of the systemic immune-inflammation index (SII) in nasopharyngeal carcinoma (NPC). However, the results have been inconsistent. Therefore, this study aims to investigate the prognostic significance of SII in NPC through a meta-analysis.

METHODS

The PubMed, Web of Science, Embase, and Cochrane Library databases were thoroughly searched. The pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated to evaluate the prognostic value of the SII for survival outcomes.

RESULTS

A total of six studies comprising 2169 patients were included in the meta-analysis. Pooled analyses indicated that a high SII was significantly associated with worse overall survival (OS) (HR = 1.69, 95% CI = 1.36-2.09, P < 0.001) and progression-free survival (PFS) (HR = 1.60, 95% CI = 1.29-1.98, P < 0.001) in patients with NPC. Subgroup analysis showed that SII was a significant prognostic marker for PFS but not for OS in NPC.

CONCLUSION

Our meta-analysis demonstrated that a high SII could be an efficient prognostic indicator of OS and PFS in NPC. In our opinion, SII could be used to predict long-term and short-term outcomes in patients with NPC. Furthermore, we suggest that SII be applied to help individual patients with NPC assess the prognostic risk.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42022321570.