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Updated: Nov 17, 2025

Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
Systemic immune-inflammation index predicts prognosis in patients with different EGFR-mutant lung adenocarcinoma
Qing Ju1, Tingping Huang2, Yong Zhang1
1Department of Pulmonary and Critical Care Medicine, Xijing Hospital, Fourth Military Medical University, 127 Changle West Road, Xi'an, Shaanxi.
Abstract:
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.

