The preoperative systemic inflammation response index (SIRI) independently predicts survival in postmenopausal women with breast cancer

Abstract

The recently developed preoperative systemic inflammation response index (SIRI) was reported as a useful biomarker that could predict survival in certain types of malignant tumors. However, the prognostic value of preoperative SIRI in postmenopausal breast cancer remains unclear. This study aimed to explore the relationship between SIRI and survival in postmenopausal patients with breast cancer. A total of 390 postmenopausal patients with breast cancer who underwent a mastectomy at Sun Yat-sen University Cancer Center were retrospectively studied. SIRI was based on peripheral neutrophil, monocyte, and lymphocyte counts, calculated as: neutrophil count × monocyte count/lymphocyte count. The best cut-off value for SIRI was determined using receiver operating characteristic curve analysis. Patients were divided into 2 groups:Low SIRI < 0.54 and high SIRI > 0.54. High SIRI was significantly related to progesterone receptor status. Kaplan-Meier survival analysis showed that T stage, N stage, clinical stage, carcinoembryonic antigen, estrogen receptor, progesterone receptor, endocrinotherapy, and SIRI were significantly correlated with overall survival (OS). Multivariate analysis showed that SIRI could also independently predict OS. Preoperative SIRI may be a reliable predictor of OS in postmenopausal patients with operable breast cancer to provide personalized prognostication and to assist in the formulation of a clinical treatment strategy.