ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2022
[Predictive Value of LIPI and iSEND Immune Scoring System in Immunotherapy of Advanced Non-small Cell Lung Cancer].
Article in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Integration of hierarchical clustering in hematologic biomarkers prediction for endocrine toxicity during immunotherapy in lung cancer patients.Scientific reports · 2026Article
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Abstract
backgroundThis 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.
methodsThe 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.
resultsThe 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<0.05). The median PFS of patients in LIPI score groups 0, 1 and 2 were 9.9 months, 6.1 mon and 3.7 mon respectively; The median PFS of patients with good, moderate and poor iSEND immune scores were 9.9 mon, 7.0 mon and 3.5 mon respectively, with statistically significant differences (P<0.001). In the immunotherapy subgroup, the median PFS of patients with different LIPI and iSEND immune scores was also statistically significant. Cox regression analysis showed that the derived neutrophil to lymphocyte ratio (dNLR), lactic dehydrogenase (LDH) and PFS were independently correlated (P<0.05).
conclusionsLIPI and iSEND immune scoring system can effectively predict the efficacy and prognosis of advanced NSCLC treated with immunotherapy, and LIPI has higher predictive value than iSEND immune scoring system.
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