Transplantation and Cellular Therapy最新文献

The AML-05 study aimed to examine the efficacy and safety of a therapeutic strategy based on risk stratification for low-, intermediate-, or high-risk acute myeloid leukemia (AML) pediatric patients. Allogeneic hematopoietic cell transplantation (allo-HCT) was not indicated for low- or intermediate-risk AML patients in first complete remission. The present retrospective study for the AML-05 study aimed to identify prognostic factors for survival and to determine optimal allo-HCT according to multivariate analysis on overall survival (OS), event-free survival (EFS), cumulative incidence of relapse (CIR), and cumulative incidence of nonrelapse mortality for and between low- and intermediate-risk AML group patients in the AML-05 study who had undergone allo-HCT after its completion and relapse. The unique patient numbers (UPNs) of the AML-05 study were matched with the Transplant Registry Unified Management Program (TRUMP)-registered numbers, and the tied data on the AML-05 study's UPNs and the TRUMP-registered numbers were analyzed. The primary endpoint was 3-yr OS. Among 443 AML patients in the AML-05 study, 79 (32 low-risk AML and 47 intermediate-risk AML) were analyzed. The following statistically favorable prognostic factors were identified by multivariate analysis on the low- and intermediate-risk AML groups, respectively: UCB (OS-hazard ratio [HR], 0.105; 95% CI, 0.011 to 0.941; P = .004 and EFS-HR, 0.065, 95% CI, 0.007 to 0.577, P = .014) and late relapse (OS-HR, 0.212; 95% CI, 0.072 to 0.626; P = .005 and EFS-HR, 0.236; 95% CI, 0.088 to 0.630; P = .004). Three-year OS, 3-yr EFS, and 3-yr CIR were significantly different between the low- and intermediate-risk AML groups. UCB may be a safe and beneficial donor source for low-risk AML patients, while late relapse was a favorable prognostic factor for intermediate-risk AML patients. Intermediate-risk AML patients with late relapse and low-risk AML patients may benefit from allo-HCT after relapse.

Despite the concurrent use of haploidentical cord (HCT) and dual cord (DCT) stem cell transplant approaches for over a decade, there have been few comparisons of their outcomes. Our objective in this study is to assess for differences in the outcomes and adverse effects associated with HCTs versus DCTs. Here we report a retrospective analysis of HCTs and DCTs at our institution. From October 2012 to October 2022, 70 HCT and 133 DCT transplants were performed following 50 mg/kg of IV cyclophosphamide, 150 mg/m² of IV fludarabine, 10 mg/kg of IV thiotepa, and 4 Gy total body irradiation conditioning. With a median follow-up of 3.6 years among survivors, there was no difference in overall survival (OS) (3 years OS 65% DCT versus 63% HCT, P = 1) or relapse-free survival (3 years RFS 62% DCT versus 64% HCT, P = .97) for all patients. Time to neutrophil recovery was faster in HCT recipients (median 17 versus 22 days, P = .021), with no difference in platelet recovery to 20,000/μL (P = .12). Median hospitalization for HCT recipients was 20 days versus 24 days for DCT recipients (P < .0001). Engraftment syndrome treated with steroids occurred in 47/133 (35%) DCT recipients versus 42/70 (60%) HCT recipients (odds ratios 0.37, P value=.001). There was a significant increase in grade 3 to 4 acute graft-versus-host disease (aGVHD) in haplo-cord recipients (P = .007), but no difference in grade 2 to 4 aGVHD (P = .11), all chronic GVHD (cGVHD) (P = .9), or moderate-severe cGVHD (P = .3). Our outcomes demonstrate faster engraftment and shorter hospitalization in HCTs relative to DCTs, but more engraftment syndrome and higher grade 3 to 4 aGVHD. When both are options, these factors should guide the choice between HCTs and DCTs.

Post-transplant cyclophosphamide (PT-Cy) is becoming the standard of care for preventing graft-versus-host disease (GVHD) following allogeneic hematopoietic stem cell transplant (alloHCT). Cyclophosphamide is associated with endothelial injury. We hypothesized that the endothelial activation and stress index (EASIX) score, being a marker of endothelial dysfunction, will predict non-relapse mortality (NRM) in alloHCT patients receiving PT-Cy for GVHD prophylaxis. We evaluate the prognostic ability of the hematopoietic cell transplantation-specific comorbidity index (HCT-CI) and EASIX scores, and report other factors influencing survival, in patients with hematologic malignancies undergoing alloHCT and receiving PT-Cy-based GVHD prophylaxis. Adult patients with hematologic malignancies who underwent alloHCT and received PT-Cy for GVHD prophylaxis at the three Mayo Clinic locations were included in this study. We retrospectively reviewed the Mayo Clinic database and the available electronic medical records to determine the patient, disease, and transplant characteristics. An HCT-CI score of ≥3 was considered high. The EASIX score was calculated from labs available between day -28 (of alloHCT) to the day of starting conditioning and analyzed on log2 transformed values. A log2-EASIX score ≥2.32 was considered high. The cumulative incidence of NRM was determined using competing risk analysis, with relapse considered as competing risk. Overall survival (OS) from transplant was determined using Kaplan-Meier and log-rank methods. Cox-proportional hazard method was used to evaluate factors impacting survival. A total of 199 patients were evaluated. Patients with a high log2-EASIX score had a significantly higher cumulative incidence of NRM at 1 year after alloHCT (34.5% versus 12.3%, P = .003). Competing risk analysis showed that a high log2-EASIX score (HR 2.92, 95% CI 1.38 to 6.17, P = .005) and pre-alloHCT hypertension (HR 2.15, 95% CI 1.06 to 4.36, P = .034) were independently predictive of 1 year-NRM. Accordingly, we combined the two factors to develop a composite risk model stratifying patients in low, intermediate, and high-risk groups: 111 (55.8%) patients were considered low-risk, 76 (38.2%) were intermediate and 12 (6%) were high-risk. Compared to patients in the low-risk group, the intermediate (HR 2.38, 95% CI 1.31 to 4.33, P = .005) and high-risk (HR 5.77, 95% CI 2.31 to 14.39, P < .001) groups were associated with a significantly inferior 1-year OS. Multiorgan failure (MOF) was among the common causes of NRM (14/32, 43.8%) particularly among patients with prior pulmonary comorbidities [7 (50%) patients]. Our study shows that EASIX score is predictive of survival after PT-Cy. The novel EASIX-HTN composite risk model may stratify patients prior to transplant. MOF is a common cause of NRM in patients receiving PT-Cy, particularly among patients with pulmonary comorbidities.

Although various relapse prediction models based on pretransplant information have been reported, they cannot update the predictive probability considering post-transplant patient status. Therefore, these models are not appropriate for deciding on treatment adjustment and preemptive intervention during post-transplant follow-up. A dynamic prediction model can update the predictive probability by considering the information obtained during follow-up. This study aimed to develop and assess a dynamic relapse prediction model after allogeneic hematopoietic cell transplantation (allo-HCT) for acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS) using peripheral blood Wilms' tumor 1 messenger RNA (WT1mRNA). We retrospectively analyzed patients with AML or MDS who underwent allo-HCT at our institution. To develop dynamic models, we employed the landmarking supermodel approach, using age, refined disease risk index, conditioning intensity, and number of transplantations as pretransplant covariates and both pre- and post-transplant peripheral blood WT1mRNA levels as time-dependent covariates. Finally, we compared the predictive performances of the conventional and dynamic models by area under the time-dependent receiver operating characteristic curves. A total of 238 allo-HCT cases were included in this study. The dynamic model that considered all pretransplant WT1mRNA levels and their kinetics showed superior predictive performance compared to models that considered only pretransplant covariates or factored in both pretransplant covariates and post-transplant WT1mRNA levels without their kinetics; their time-dependent areas under the curve were 0.89, 0.73, and 0.87, respectively. The predictive probability of relapse increased gradually from approximately 90 days before relapse. Furthermore, we developed a web application to make our model user-friendly. This model facilitates real-time, highly accurate, and personalized relapse prediction at any time point after allo-HCT. This will aid decision-making during post-transplant follow-up by offering objective relapse forecasts for physicians.