ArticleFrontiers in immunology2026
Peripheral blood inflammatory ratios predict efficacy and toxicity of CAR-T cell immunotherapy in relapsed/refractory multiple myeloma.
Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background aim: Despite the remarkable efficacy of chimeric antigen receptor T-cell (CAR-T) therapy in relapsed/refractory multiple myeloma (R/R MM), treatment response and toxicity exhibit considerable heterogeneity. This study aimed to evaluate the prognostic significance of baseline peripheral blood inflammatory ratios-namely, the neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR)-in patients with R/R MM receiving CAR-T therapy, and to develop an integrated prognostic index based on these parameters. Methods: We conducted a retrospective analysis of 197 R/R MM patients who received CAR-T therapy. The optimal cut-off values for NLR, MLR, and PLR were determined using receiver operating characteristic (ROC) curve analysis. Associations between these ratios and treatment efficacy, CAR transgene expansion, cytokine release syndrome (CRS), and progression-free survival (PFS) were evaluated. A composite Cellular Inflammatory Prognostic Index (CIPI) integrating NLR, MLR, and PLR was developed to assess prognostic stratification. Results: Optimal cut-offs for NLR, MLR, and PLR were 2.55, 0.35, and 145, respectively. Patients with low baseline inflammatory ratios exhibited significantly higher CAR transgene expansion and were associated with better treatment responses than that of patients with high baseline inflammatory ratios. The low NLR group showed a superior objective response rate (93.8% vs. 81.2%, Conclusion: Baseline peripheral blood inflammatory ratios are closely associated with CAR-T cell efficacy and CRS severity in R/R MM patients receiving CAR-T therapy. The CIPI score represents a simple and reproducible prognostic biomarker that may help individualized risk stratification and inform treatment optimization in CAR-T therapy.
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