Prognostic significance of SIRI in patients with late-stage lung adenocarcinoma receiving EGFR-TKI treatment

Objective

In this study, we examined the relationship between the Systemic Inflammatory Response Index (SIRI) and the overall prognosis of patients with late-stage lung adenocarcinoma who harbor epidermal growth factor receptor (EGFR) mutations and are undergoing first-line treatment with EGFR-tyrosine kinase inhibitors (EGFR-TKIs).

Methods

A cohort comprising 52 patients with late-stage lung adenocarcinoma, who received treatment at Jinzhou Central Hospital between January 2018 and December 2022, were carefully selected. Patient data spanning from pre-treatment assessments through follow-up periods were meticulously collected from electronic medical records and subsequently subjected to a comprehensive retrospective analysis. The collected data was subjected to in-depth processing and analyzed using SPSS 27.0 statistical software. To determine the optimal cut-off value of the pre-treatment SIRI, a receiver operating characteristic (ROC) curve was employed. Survival analysis was performed using the Kaplan-Meier method, and both univariate and multivariate prognostic analyses were conducted using Cox regression.

Results

The optimal SIRI cut-off value was determined to be 1.659 (with a specificity of 0.964 and sensitivity of 0.652, P = 0.000). Based on this value, patients were categorized into high and low SIRI groups. Chi-squared tests demonstrated that SIRI exhibited statistically significant correlations with patient age and smoking history (P < 0.05). Survival analysis revealed that the group with a lower SIRI had a significantly extended progression-free survival (PFS) (P < 0.001). Cox univariate analysis identified hypertension, pleural metastasis, liver metastasis, and SIRI as factors associated with PFS (P < 0.05). In the subsequent multivariate analysis, liver metastasis and SIRI ≥ 1.659 (P < 0.001) were identified as independent risk factors for patients.

Conclusion

Pre-treatment SIRI holds predictive significance for the prognosis of patients with late-stage lung adenocarcinoma with EGFR mutations undergoing first-line treatment EGFR-TKI treatment.