Combined detection of peripheral blood VEGF and inflammation biomarkers to evaluate the clinical response and prognostic prediction of non-operative ESCC

Abstract An association between angiogenesis/inflammation status and tumor has been reported in various types of cancer. This study sought to assess the role peripheral blood VEGF some inflammation biomarkers evaluating clinical response prognosis patients with non-operative esophageal squamous cell carcinoma (ESCC). Peripheral 143 ESCC at our institute was dynamically collected 5 time points including 1 day before radiotherapy, during radiotherapy (15f), end month after 3 months radiotherapy. expression detected related such as GPS, CAR CLR were counted. Logistic regression Cox implemented respectively analyze correlation each predictor prognosis. The performance combined testing estimated using AUCs. Based on independent predictors, a nomogram prediction model established predict probabilities 1- 2-year PFS patients. effectiveness characterized by C-index, AUC, calibration curves DCA. levels predictors response, while GPS prognostic predictors. efficacy detection is superior single showed excellent accuracy predicting PFS. can be used evaluate ESCC, Implemented model, it expected provide practical reliable method tool.