The predictive value of a preoperative systemic immune-inflammation index and prognostic nutritional index in patients with esophageal squamous cell carcinoma.

Growing evidence indicates that systemic inflammation response and malnutrition status are correlated with survival in certain types of solid tumors. The aim of this study is to evaluate the association between the systemic immune-inflammation index (SII) and prognostic nutritional index (PNI) and overall survival (OS) in patients with esophageal squamous cell carcinoma (ESCC) after esophagectomy. A consecutive series of 655 patients with resected ESCC who underwent esophagectomy were enrolled in the retrospective study. The preoperative SII was defined as platelet × neutrophil/lymphocyte counts. The PNI was calculated as albumin concentration (g/L) + 5 × total lymphocyte count (109 /L). The optimal cut-off values of SII, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and PNI were determined by receiver operating characteristic analysis. Survival analysis was performed using the Kaplan-Meier method with a log-rank test, followed by a multivariate Cox proportional hazards model. A high SII was significantly related to tumor size, histological type, invasion depth, and TNM stage (p < 0.05). A low PNI was significantly associated with age, tumor size, invasion depth, lymph node metastasis, and TNM stage (p < 0.05). Univariate analysis revealed that age, smoking history, tumor size, invasion depth, lymph node metastasis, SII, NLR, PLR, and PNI were predictors of OS (p < 0.05). Multivariate analysis identified age (p = 0.041), tumor size (p = 0.016), invasion depth (p < 0.001), lymph node metastasis (p < 0.001), SII (p = 0.033), and PNI (p = 0.022) as independent prognostic factors correlated with OS. There was a significant inverse relationship between the SII and PNI (r = 0.309; p < 0.001). The predictive value increased when the SII and PNI were considered in combination. Our results demonstrate that the preoperative high SII and low PNI are powerful indicators of aggressive biology and poor prognosis for patients with ESCC. The combination of SII and PNI can enhance the accuracy of prognosis.

Zhang H ，Shang X ，Ren P ，Gong L ，Ahmed A ，Ma Z ，Ma R ，Wu X ，Xiao X ，Jiang H ，Tang P ，Yu Z ... -  《-》

Preoperative systemic inflammation score (SIS) is superior to neutrophil to lymphocyte ratio (NLR) as a predicting indicator in patients with esophageal squamous cell carcinoma.

Fu X ，Li T ，Dai Y ，Li J ... -  《BMC CANCER》

The prognostic value of preoperative laboratory data indicators in patients with esophageal carcinoma: An observational study.

Preoperative laboratory data indicators significantly affect the prognosis of a variety of tumors. Nevertheless, the combined effect of systemic immune-inflammation index (SII) and prognostic nutritional index (PNI) on overall survival (OS) in patients with esophageal carcinoma remains unclear. Thus, we examined these associations among patients with postoperative staged T3N0M0 esophageal carcinoma. The data of 246 patients with postoperative staged T3N0M0 esophageal carcinoma from January 1, 2010, to December 31, 2022, were retrospectively analyzed. OS was measured from the date of pathological diagnosis until either death or the last follow-up. The Kaplan-Meier method and multivariate Cox regression model were used to analyze the relationship between neutrophil-to-lymphocyte ratio (NLR), Platelet-to-lymphocyte ratio (PLR), Platelet-to-lymphocyte ratio (LMR), SII, PNI, and OS. The predictive value of SII and PNI as a combined index was analyzed by the receiver operating characteristic curve (ROC). A total of 246 patients aged 65.5 ± 7.4 years were included in this study and 181 (73.6%) were male. The univariate analysis revealed that differentiation, vessel involvement, postoperative treatment, NLR, SII, PLR, LMR, PNI were predictors of OS (P < .05). After adjusted for potential confounds, multivariate Cox regression analysis showed that the differentiation, SII, PNI, and postoperative treatment were independent prognostic factors correlated with OS in patients with postoperative staged T3N0M0 esophageal carcinoma (P < .05). SII and PNI, as a combined indicator, have a higher predictive value for OS. The NLR, SII, PLR, LMR, and PNI could all be used as independent predictors of OS in patients with postoperative staged T3N0M0 esophageal carcinoma. The combination of SII and PNI can significantly improve the accuracy of prediction.

Ma H ，Liu Y ，Ye H ，Gao F ，Li Z ，Qin S ... -  《-》

Systemic immune-inflammation index predicting chemoradiation resistance and poor outcome in patients with stage III non-small cell lung cancer.

Tong YS ，Tan J ，Zhou XL ，Song YQ ，Song YJ ... -  《Journal of Translational Medicine》

Prognostic value of prognostic nutritional index and systemic immune-inflammation index in patients with osteosarcoma.

The aim of this study was to evaluate the relationship between prognostic nutritional index (PNI) and systemic immune-inflammation index (SII) and clinical features and prognosis of osteosarcoma patients. We retrospectively investigated 126 patients with surgery for osteosarcoma between 2012 and 2018 at our hospital. The preoperative PNI was calculated as albumin level (g/L) + 5 × total lymphocyte count (10 9 /L). The SII was defined as platelet × neutrophil/lymphocyte counts. The optimal cut-off values for PNI and SII were evaluated with receiver operating curve analysis. Clinical features and PNI and SII were tested with the χ 2 test. The effects of PNI and SII on overall survival (OS) was investigated by Kaplan-Meier method and Cox proportional hazards model. A low preoperative PNI was remarkably correlated with tumor size, Enneking stage, pathological fracture, local recurrence, metastasis, and neoadjuvant chemotherapy ( p < 0.05). Whereas, a high SII was significantly associated with tumor size, histological type, Enneking stage, and neoadjuvant chemotherapy ( p < 0.05). There was a significant negative relationship between the PNI and SII ( r = 0.384; p < 0.001). For univariate analyses, the results revealed that tumor size, local recurrence, metastasis, PNI, and SII were predictors of OS ( p < 0.05). In multivariate analyses, local recurrence ( p = 0.010), metastasis ( p < 0.001), PNI ( p < 0.001), and SII ( p = 0.029) as independent prognostic factors were significantly correlated with OS. This study suggested that PNI and SII could be important prognostic parameters for patients with osteosarcoma.

Huang X ，Hu H ，Zhang W ，Shao Z ... -  《-》