Predictive Value of LIPI and iSEND Immune Scoring System 
in Immunotherapy of Advanced Non-small Cell Lung Cancer

This study retrospectively analyzed the application value of lung cancer immunotherapy prognostic index (LIPI) and iSEND immune scoring system in advanced non-small cell lung cancer (NSCLC) patients treated with immunotherapy in China, in order to find guidance for clinical development of NSCLC treatment plan. Methods The clinical data of 178 patients with advanced NSCLC treated with immunotherapy were analyzed retrospectively. LIPI and iSEND immune scores were performed, receiver operating characteristic (ROC) curves were drawn, and the predictive values of two models for objective response rate (ORR), disease control rate (DCR), and progression-free survival (PFS) were compared. Kaplan-Meier method was used for survival analysis, and Cox regression analysis method was used for univariate analysis and multivariate analysis. Results The area under the curver (AUC) of ORR, DCR and PFS predicted by iSEND immune score were 0.616, 0.634 and 0.631 respectively; LIPI were 0.789, 0.750 and 0.732 respectively, which were higher than iSEND immune score (P
Source: Chinese Journal of Lung Cancer - Category: Cancer & Oncology Source Type: research