Impact of autonomic dysfunction on function, toxicity, and survival in patients with lymphoma treated with CART.

Cytokine Release Syndrome (CRS) Is Not Required for CAR-T Cell Efficacy in Aggressive Large B-NHL

Introduction As Chimeric Antigen Receptor T-cell (CAR-T) therapy gains its clinical advantage in the management of diffuse large B cell lymphoma (DLBCL), accumulating evidence shows that it often accompanies cardiac dysfunction. Previous retrospective studies indicated the potential involvement of cytokine release syndrome (CRS) in cardiac dysfunction after CAR-T therapy, but no prospective study has reported the time course of cardiac dysfunction. Moreover, the relationship between the severity of CRS and cardiac dysfunction after CAR-T therapy remains unclear. Purpose The objectives of this study are to prospectively examine the sequential changes in cardiac markers overtime after CAR-T therapy and to clarify the association between the grade of CRS and cardiac markers. Methods In this prospective observational study, 30 DLBCL patients who underwent CAR-T therapy from July 2020 to March 2022 were enrolled. Before and after the treatment, the level of cardiac biomarkers and echocardiographic index were sequentially collected. We classified all patients into two groups according to the severity of CRS after CAR-T therapy, namely low-CRS group (CRS <2) and high-CRS group (CRS ≥2). Cardiac biomarkers and echocardiographic parameters were further analyzed in both groups. Results The average age of participants was 59.6 years, and 9 patients (30%) were female. The average duration of DLBCL was 2.7 years. The CRS showed its peak severity on day 3. The number of patients in low- and high-CRS group was 13 and 17, respectively and tocilizumab was administrated for 46% and 71% of the patients in low- and high-CRS group, respectively. At the baseline before CAR-T therapy, there were no significant differences in cardiac parameters between the two groups. During the follow-up, sequential measurements of cardiac biomarkers revealed that high-CRS group showed significantly higher NT-proBNP level compared to that of low-CRS group (NT-proBNP; 90pg/ml vs. 623pg/ml, p=0.0001, respectively) and both had their peak on day 3, whereas troponin T level did not show any differences. Likewise, sequential measurements of echocardiographic parameters revealed that high-CRS group showed significantly increased E/A compared to low-CRS group on day 7 (E/A; 0.77 vs. 0.90, p=0.021, respectively), but not in the later phase. The parameters for systolic function including GLS and EF and parameters for diastolic function such as E/e' and LAVI did not alter among the two groups throughout the follow-up. Conclusion In the patients who underwent CAR-T therapy for DLBCL, the elevation of NT-proBNP level and increase in E/A was transiently observed within a week and correlated with the severity of CRS. Funding Acknowledgement Type of funding sources: None.

Chimeric antigen receptor (CAR) T-cell therapy has been confirmed to benefit patients with relapsed and/or refractory diffuse large B-cell lymphoma (DLBCL). It is important to provide precise and timely predictions of the efficacy and toxicity of CAR T-cell therapy. In this study, we evaluated the value of [18F]fluorodeoxyglucose positron emission tomography/computed tomography ([18F]FDG PET/CT) combining with clinical indices and laboratory indicators in predicting outcomes and toxicity of anti-CD19 CAR T-cell therapy for DLBCL patients. Thirty-eight DLBCL patients who received CAR T-cell therapy and underwent [18F]FDG PET/CT within 3 months before (pre-infusion) and 1 month after CAR T-cell infusion (M1) were retrospectively reviewed and regularly followed up. Maximum standardized uptake value (SUVmax), total lesion glycolysis (TLG), metabolic tumor volume (MTV), clinical indices, and laboratory indicators were recorded at pre-infusion and M1 time points, and changes in these indices were calculated. Progression-free survival (PFS) and overall survival (OS) were as endpoints. Based on the multivariate Cox regression analysis, two predictive models for PFS and OS were developed and evaluated the efficiency. Pre-infusion indices were subjected to predict the grade of cytokine release syndrome (CRS) resulting from toxic reactions. For survival analysis at a median follow-up time of 18.2 months, patients with values of international prognostic index (IPI), SUVmax at M1, and TLG at M1 above their optimal thresholds had a shorter PFS (median PFS: 8.1 months [IPI ≥ 2] vs. 26.2 months [IPI < 2], P = 0.025; 3.1 months [SUVmax ≥ 5.69] vs. 26.8 months [SUVmax < 5.69], P < 0.001; and 3.1 months [TLG ≥ 23.79] vs. 26.8 months [TLG < 23.79], P < 0.001). In addition, patients with values of SUVmax at M1 and ∆SUVmax% above their optimal thresholds had a shorter OS (median OS: 12.6 months [SUVmax ≥ 15.93] vs. 'not reached' [SUVmax < 15.93], P < 0.001; 32.5 months [∆SUVmax% ≥ -46.76] vs. 'not reached' [∆SUVmax% < -46.76], P = 0.012). Two novel predictive models for PFS and OS were visualized using nomogram. The calibration analysis and the decision curves demonstrated good performance of the models. Spearman's rank correlation (rs) analysis revealed that the CRS grade correlated strongly with the pre-infusion SUVmax (rs = 0.806, P < 0.001) and moderately with the pre-infusion TLG (rs = 0.534, P < 0.001). Multinomial logistic regression analysis revealed that the pre-infusion value of SUVmax correlated with the risk of developing a higher grade of CRS (P < 0.001). In this group of DLBCL patients who underwent CAR T-cell therapy, SUVmax at M1, TLG at M1, and IPI were independent risk factors for PFS, and SUVmax at M1 and ∆SUVmax% for OS. Based on these indicators, two novel predictive models were established and verified the efficiency for evaluating PFS and OS. Moreover, pre-infusion SUVmax correlated with the severity of any subsequent CRS. We conclude that metabolic parameters measured using [18F]FDG PET/CT can identify DLBCL patients who will benefit most from CAR T-cell therapy, and the value before CAR T-cell infusion may predict its toxicity in advance.

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