Clinical significance of systemic inflammation response index and platelet–lymphocyte ratio in patients with stage I-III gastric cancer
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Gastric cancer (GC) has a relatively high incidence and mortality rate. Surgery is the primary treatment; however, the survival rate of patients remains low. Therefore, there is an urgent need to identify simple and feasible prognostic indicators for GC. As an inflammation-related biomarker, the systemic inflammation response index (SIRI), platelet-to-lymphocyte ratio (PLR), and SIRI-PLR can be obtained from routine blood tests. Compared with existing prognostic indicators, which are expensive and rely on complex analyses, SIRI-PLR offers extremely high convenience and cost-effectiveness. AIM: To explore the impact of SIRI-PLR on the prognosis of patients with stage I-III GC after surgery and construct a nomogram. METHODS: We retrospectively analyzed the clinical and pathological data of patients with GC who underwent radical surgery at The First Affiliated Hospital of Anhui Medical University between January 2014 and December 2017. A total of 1071 patients with clear clinical prognoses were selected. Univariate and multivariate Cox regression analyses were performed to identify independent prognostic factors associated with overall survival in patients with GC, and a nomogram prediction model was constructed. RESULTS: Multivariate Cox regression analysis revealed that age, tumor size, T stage, N stage, SIRI-PLR, and carcinoembryonic antigen were independent prognostic factors. The areas under the curve of the nomogram for training and validation sets were 0.821 and 0.848, respectively. Calibration plots and decision curve analyses demonstrated that the nomogram exhibited good predictive performance and clinical utility in training and validation cohorts. CONCLUSION: Preoperative SIRI-PLR was significantly associated with the prognosis of patients with stage I-III GC following radical gastrectomy. Our nomogram could serve as an essential tool for clinicians to predict the postoperative prognosis of patients with stage I-III GC.
Authors: En-Ze Zhou, Li-Xiang Zhang, Wen-Xiu Han, A-Man Xu, Zhi-Jian Wei
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4415465241