Synergistic value of systemic inflammatory and tumor markers in predicting pretreatment distant metastasis of gastric cancer

作者：Yu-Meng Shen, Xiao-Yu Hong, Heli Gao, Qiu-Lin Hao, Zheng-Yu Li, Zhi-Yuan Yao, Chao Gao · 发表于：World Journal of Gastrointestinal Oncology · 年份：2026 · DOI：10.4251/wjgo.120785 · 研究领域：Inflammatory Biomarkers in Disease Prognosis、Gastric Cancer Management and Outcomes、Inflammation biomarkers and pathways

BACKGROUND Early identification of distant metastasis before treatment is crucial for optimizing therapeutic strategies in patients with gastric cancer. However, conventional imaging modalities are limited in detecting occult metastasis, highlighting the need for reliable, accessible biomarkers to improve pre-treatment risk stratification. AIM To develop and validate a predictive model based on the integration of inflammatory and tumor markers for pre-treatment prediction of distant metastasis in gastric cancer. METHODS A total of 279 patients with newly diagnosed gastric adenocarcinoma at the Affiliated Hospital of Xuzhou Medical University from January 2020 to December 2024 were retrospectively enrolled and randomly divided into a training set (n = 152) and a validation set (n = 127). Clinical characteristics, peripheral blood inflammatory parameters [neutrophils (NE), lymphocytes (LY), monocytes, platelets], derived inflammatory indices [neutrophil-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, platelet-to-lymphocyte ratio, systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI), and tumor markers (carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9)] were collected. The calculation formulas for the indices were as follows: SII = (NE × platelets)/LY, and SIRI = (NE × monocytes)/LY. Variables associated with distant metastasis were screened using univariate analysis and least absolute shrinkage and selection operator regre...