| Literature DB >> 35134115 |
Linde Dekker1, Friso G Calkoen1, Yilin Jiang1, Hilly Blok1, Saskia R Veldkamp2, Coco De Koning2, Maike Spoon1, Rick Admiraal1, Peter Hoogerbrugge1, Britta Vormoor1, H Josef Vormoor1,2,3, Henk Visscher1, Marc Bierings1, Marieke Van Der Vlugt1, Harm Van Tinteren1, A Laura Nijstad1,2, Alwin D R Huitema1,2,4, Kim C M Van Der Elst2, Rob Pieters1, Caroline A Lindemans1, Stefan Nierkens1,2.
Abstract
The addition of fludarabine to cyclophosphamide as a lymphodepleting regimen prior to CD19 chimeric antigen receptor (CAR) T-cell therapy significantly improved outcomes in patients with relapsed/refractory (r/r) B-cell acute lymphoblastic leukemia (B-ALL). Fludarabine exposure, previously shown to be highly variable when dosing is based on body surface area (BSA), is a predictor for survival in allogeneic hematopoietic cell transplantation (allo-HCT). Hence, we hypothesized that an optimal exposure of fludarabine might be of clinical importance in CD19 CAR T-cell treatment. We examined the effect of cumulative fludarabine exposure during lymphodepletion, defined as concentration-time curve (AUC), on clinical outcome and lymphocyte kinetics. A retrospective analysis was conducted with data from 26 patients receiving tisagenlecleucel for r/r B-ALL. Exposure of fludarabine was shown to be a predictor for leukemia-free survival (LFS), B-cell aplasia, and CD19-positive relapse following CAR T-cell infusion. Minimal event probability was observed at a cumulative fludarabine AUCT0-∞ ≥14 mg*h/L, and underexposure was defined as an AUCT0-∞ <14 mg*h/L. In the underexposed group, the median LFS was 1.8 months, and the occurrence of CD19-positive relapse within 1 year was 100%, which was higher compared with the group with an AUCT0-∞ ≥14 mg*h/L (12.9 months; P < .001; and 27.4%; P = .0001, respectively). Furthermore, the duration of B-cell aplasia within 6 months was shorter in the underexposed group (77.3% vs 37.3%; P = .009). These results suggest that optimizing fludarabine exposure may have a relevant impact on LFS following CAR T-cell therapy, which needs to be validated in a prospective clinical trial.Entities:
Mesh:
Substances:
Year: 2022 PMID: 35134115 PMCID: PMC9006280 DOI: 10.1182/bloodadvances.2021006700
Source DB: PubMed Journal: Blood Adv ISSN: 2473-9529
Patient characteristics
| All patients, n (%) | |
|---|---|
| Patients, n | 26 |
| Age at infusion, years (range) | 14.4 (4.0-24.5) |
| Male | 15 (58) |
| Follow-up, d (range) | 389 (53-800) |
| MRD-negative CR on d 28 | 20 (77) |
| Indication for CAR T therapy | |
| Primary refractory | 4 (15) |
| Relapse | 22 (85) |
| Disease status at start of lymphodepletion | |
| M1 marrow | 17 (65) |
| ≥M2 marrow | 9 (35) |
| Prior lines of systemic therapy, n | |
| 1-2 | 21 (81) |
| 3-5 | 5 (19) |
| Prior blinatumomab | |
| Yes | 7 (27) |
| No | 19 (73) |
| Prior allo-HCT | |
| Yes | 11 (42) |
| No | 15 (58) |
| Yes | 2 (8) |
| No | 24 (92) |
Figure 1.Fludarabine exposure and functional form. (A) Histogram (gray area) and density plot (black solid line) of the determined cumulative fludarabine AUCT0−∞. Density is the proportion of patients with fludarabine exposure within the specified limits. (B) Scatterplot of cumulative fludarabine AUCT0−∞ vs martingale residuals of null Cox proportional hazard model for LFS.
Patient characteristics stratified on fludarabine exposure
| Fludarabine <4mg*h/L, n (%) | Fludarabine ≥14 mg*h/L, n (%) | ||
|---|---|---|---|
| AUC mg*h/L, median (range) | 11.9 (8.7-13.7) | 16.8 (14.0-21.8) | |
| Patients, n | 11 | 15 | |
| Age at infusion, years (range) | 11.6 (4.0-23.3) | 16.8 (5.1-24.5) | .8 |
| Male | 7 (64) | 8 (53) | .7 |
| Follow up, d (range) | 205 (107-695) | 408 (53-800) | .26 |
| MRD-negative CR on d 28 | 6 (55) | 14 (93) | .05 |
| Indication for CAR T therapy | 1 | ||
| Primary refractory | 2 (18) | 2 (13) | |
| Relapse | 9 (82) | 13 (87) | |
| Disease status at start of lymphodepletion | .68 | ||
| M1 marrow | 8 (73) | 9 (60) | |
| ≥M2 marrow | 3 (27) | 6 (40) | |
| Prior therapies, n | 1 | ||
| 1-2 | 9 (82) | 12 (80) | |
| 3-5 | 2 (18) | 3 (20) | |
| Prior blinatumomab | .66 | ||
| Yes | 2 (18) | 5 (33) | |
| No | 9 (82) | 10 (67) | |
| Prior allo-HCT | .7 | ||
| Yes | 4 (36) | 7 (47) | |
| No | 7 (64) | 8 (53) | |
| 1 | |||
| Yes | 1 (9) | 1 (7) | |
| No | 10 (91) | 14 (93) |
Figure 2.Cumulative fludarabine AUC (A-C) Kaplan Meier plots of LFS and the occurrence of CD19-positive relapse and B-cell recovery from the day of CAR T-cell infusion stratified by cumulative fludarabine AUCT0−∞ of 14 mg*h/L. Groups were compared using the log-rank test. P values < .05 were considered statistically significant.
Figure 3.Cellular kinetics after CAR T-cell infusion in groups stratified by cumulative fludarabine AUC (A) The AUCs of CAR T-cell numbers from the first 28 days after CAR T-cell infusion. The high and low fludarabine exposure groups consisted of 9 and 7 patients, respectively. Groups were compared using the Mann-Whitney U test. (B) LOESS regression curves of CD4+ T-cell recovery within the first month after CAR T-cell infusion in the whole cohort. (C) LOESS regression curves of CD8+ T-cell recovery within the first month after CAR T-cell infusion in the whole cohort. Groups were compared with linear mixed effect models. P < .05 considered statistically significant.
Figure 4.Distribution of determined and predicted fludarabine AUC Boxplots of the cumulative fludarabine AUCT0−∞ determined in our cohort (determined) and predicted using a previously published population pharmacokinetic model taking renal function and body weight as covariates (predicted).[17] Determined and predicted AUCT0−∞ of every patient (n = 26) is linked with a black solid line. Groups were compared with the Mann-Whitney U test. P < .05 considered statistically significant.