scholarly journals Effect of Recipient Age and Stem Cell Source on the Association between Donor Telomere Length and Survival after Allogeneic Unrelated Hematopoietic Cell Transplantation for Severe Aplastic Anemia

2016 ◽  
Vol 22 (12) ◽  
pp. 2276-2282 ◽  
Author(s):  
Shahinaz M. Gadalla ◽  
Tao Wang ◽  
Casey Dagnall ◽  
Michael Haagenson ◽  
Stephen R. Spellman ◽  
...  
Blood ◽  
2014 ◽  
Vol 124 (26) ◽  
pp. 3996-4003 ◽  
Author(s):  
Effie W. Petersdorf ◽  
Theodore A. Gooley ◽  
Mari Malkki ◽  
Andrea P. Bacigalupo ◽  
Anne Cesbron ◽  
...  

Key Points The expression level of patient HLA-C allotypes affects GVHD and mortality after HCT from HLA-C-mismatched unrelated donors. Transplant outcome can be improved by avoiding high-risk HLA-C-mismatched donors when no matched stem cell source is available.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 3466-3466
Author(s):  
Makoto Murata ◽  
Katsuto Takenaka ◽  
Naoyuki Uchida ◽  
Yukiyasu Ozawa ◽  
Kazuteru Ohashi ◽  
...  

Abstract Allogeneic hematopoietic cell transplantation (HCT) is the only treatment modality that can either cure or prolong life of patients with primary myelofibrosis (PMF). However, the issues of the choice of stem cell source, the choice of conditioning regimen, and the timing of HCT are currently under debate. To determine whether a difference in stem cell source affects the outcome of HCT for PMF patients, a retrospective study was conducted using the national registry data on 224 patients who received first allogeneic HCT in Japan with bone marrow (BM), peripheral blood stem cells (PBSC) or umbilical cord blood (UCB). This study was approved by the Data Management Committee of the Japan Society for Hematopoietic Cell Transplantation and by the ethics committee of the Nagoya University School of Medicine. One hundred fifty-two male and 72 female, with a median age of 55 years (range, 21-79 years), were treated with a myeloablative (48%) or non-myeloablative (52%) preconditioning and GVHD prophylaxis such as calcineurin inhibitor with methotrexate (78%) between 1993 and 2016. Stem cell sources were HLA-A, -B and -DR 6/6 matched related BM (Rtd-BM) (n = 22), HLA-A, -B and -DR 6/6 matched related PBSC (Rtd-PBSC) (n = 48), HLA-A, -B, -C and -DRB1 alleles 8/8 or 7/8 matched unrelated BM (UR-BM) (n = 91), unrelated UCB (UR-UCB) (n = 29) and others (n = 34) including HLA 5/6 or 4/6 matched related BM and PBSC, HLA-haploidentical related BM and PBSC, HLA alleles 6/8 or 5/8 matched unrelated BM, and HLA alleles 8/8 or 7/8 matched unrelated PBSC. All UR-UCB transplantation was performed with a single unit. The median follow-up term for living patients was 48 (0.3-202) months. Cumulative incidences of neutrophil recovery (≥0.5 × 109/L) on day 60 were 100% in Rtd-BM (median days to recovery, 21 days), 94% in Rtd-PBSC (16 days), 86% in UR-BM (21 days), 79% in UR-UCB (25 days) and 91% in other transplantation (23 days). Cumulative incidences of grade II-IV and III-IV acute GVHD on day 100 were 23% and 5% in Rtd-BM, 27% and 19% in Rtd-PBSC, 27% and 10% in UR-BM, 31% and 10% in UR-UCB, and 26% and 15% in other transplantation, respectively. Cumulative incidences of chronic GVHD at 2 years after HCT were 35% in Rtd-BM, 41% in Rtd-PBSC, 34% in UR-BM, 19% in UR-UCB and 13% in other transplantation. Non-relapse mortality (NRM) at 2 years after HCT were 22% in Rtd-BM, 41% in Rtd-PBSC, 39% in UR-BM, 47% in UR-UCB and 48% in other transplantation. Multivariate analysis demonstrated that RBC transfusion ≥20 times before HCT (HR, 2.05; 95% CI, 1.06-3.98), PLT transfusion 10-19 times before HCT (3.56, 1.57-8.05), UR-UCB transplantation (4.70, 1.13-19.6) and other transplantation (4.38, 1.05-18.3) were predictive factors for higher NRM. Although performance status ≥2 at HCT was significant for higher NRM in univariate analysis, it was not significant in multivariate analysis. Relapse rates at 2 years after HCT were 14% in Rtd-BM, 17% in Rtd-PBSC, 13% in UR-BM, 24% in UR-UCB and 15% in other transplantation. Multivariate analysis demonstrated that no factor was associated with the incidence of relapse, although high-risk group of chromosome karyotype was significant for higher relapse rate in univariate analysis. Neither stem cell source groups nor DIPSS was not significant in univariate analysis. Overall survival (OS) rates at 2 and 5 years after HCT were 71% and 71% in Rtd-BM, 52% and 52% in Rtd-PBSC, 54% and 46% in UR-BM, 43% and 27% in UR-UCB, and 48% and 33% in other transplantation, respectively. Multivariate analysis demonstrated that age of 46-55 years (HR, 2.14; 95% CI, 1.00-4.56) and ≥56 years (2.69, 1.32-5.48), RBC transfusion ≥20 times before HCT (1.91, 1.13-3.25) and PLT transfusion 10-19 times before HCT (3.51, 1.64-7.52) predicted lower OS rate. Although performance status ≥2 at HCT, DIPSS intermediate-2 or high at HCT, high-risk group of chromosome karyotype, UR-UCB transplantation and other transplantation were significant for lower OS in univariate analysis, they were not significant in multivariate analysis. The present study could not find an advantage of use of JAK1/2 inhibitor before HCT, use of anti-thymoglobulin as a preconditioning, and non-myeloablative preconditioning regimen in terms of decreasing NRM or increasing OS rate. Our results suggest that allogeneic HCT provide a curative treatment for PMF patients, however careful management is required in HCT with other than Rtd-BM, Rtd-PB and UR-BM. Further analysis in a large cohort is required. Disclosures No relevant conflicts of interest to declare.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3478-3478
Author(s):  
Alienor Xhaard ◽  
Renato Cunha ◽  
Marc Busson ◽  
Marie Robin ◽  
Nathalie Dhedin ◽  
...  

Abstract Treatment-related mortality (TRM) after allogeneic hematopoietic stem cell transplantation (HSCT) is a major concern and remains difficult to predict adequately. Several pre-transplant characteristics of patients and disease are associated with TRM. Comorbidity indexes, including pre-transplant assessment of mortality (PAM) and the hematopoietic cell transplantation comorbidity index (HCT-CI), have been developed in an attempt to predict TRM. Biologic markers, such as ferritin, C-reactive protein (CRP) and, more recently, telomere length, also correlate with TRM. However, the cumulative impact of these factors on TRM has not been addressed. Here, we investigated the impact of pre-transplant clinical factors, comorbidity indexes and biologic markers on TRM in 670 consecutive patients from a single center who received a first allogeneic HSCT between January 2006 and June 2012. Clinical factors considered were: year of transplantation, donor and recipient ages, gender and CMV serological status, disease risk (based on the American Society for Blood and Marrow Transplantation Request for Information 2006 risk scoring schema), stem cell source, and HLA matching. Comorbidities were evaluated by PAM and HCT-CI, and coded prospectively for all patients by a single observer. HCT-CI and PAM scores were ranked into previously published categories (0, 1-2, ≥3 for HCT-CI and 9-16, 17-23, 24-30 and 31-44 for PAM; Sorror, Blood 2005; Parimon, Annals Intern. Med. 2006). Ferritin, CRP and biological data for comorbidity indexes were recorded within 2 weeks prior to HSCT. Recipient telomere lengths were determined in peripheral blood leukocytes by qPCR and adjusted for age by the telomere attrition rate observed in donors.Our analysis categorized the population into quartiles and divided patients into 2 groups: shorter telomeres (first quartile) versus longer telomeres (upper 3 quartiles). The entire patient cohort was subsequently divided into 3 groups by data availability: Group 1 (G1), the entire population (n=670) for whom all clinical data were available; G2, 488 patients with clinical and comorbidity index data (pulmonary function tests were not systematically performed during the early study period); and G3, for whom pre-transplant telomere length was available (n=178). Univariate and multivariate methods developed by Fine and Gray for competing risks studies were used to assess prognostic TRM factors, with relapse as a competing event. Table 1 shows patient characteristics. Significant differences between G1 and G2 were found for mean donor and recipient ages, sex mismatch, HLA matching, stem cell source, disease risk, and year of transplantation. Median follow-up was 36 months, overall survival at 5 years for the entire cohort was 60%, and TRM was 18%. In G1, factors significantly associated with higher TRM in multivariate analysis were: recipient age (HR, 1.02, 95%CI [1.0-1.03], p=0.005), CMV seropositive recipient/seronegative donor (R+/D-) (HR, 1.98, 95%CI [1.34-2.92], p=0.001) and mismatched unrelated donor (MMUD) (HR, 2.28, 95%CI [1.38-3.74], p=0.001). In G2, the same factors [recipient age (HR, 1.01, 95%CI [1.00-1.03], p=0.027), CMV R+/D- (HR, 1.91, 95%CI [1.22-2.99], p=0.005), MMUD (HR, 2.55, 95%CI [1.48-4.42], p=0.001)] were associated with higher rates of TRM, whereas PAM showed a trend for higher TRM (HR, 1.41, 95%CI [0.99-1.99], p=0.05). HCT-CI, ferritin, and CRP were not associated with TRM. In G3, only MMUD (HR, 2.82, 95%CI [1.06-7.46], p=0.037) was associated with higher TRM. However, in analysis restricted to patients transplanted from an HLA-matched related or unrelated donor, recipient age (HR, 1.03, 95%CI [1.00-1.06], p=0.027) and telomere length (HR, 2.45, 95%CI [1.07-5.59], p=0.033) were independently associated with higher TRM. This is the first study to investigate the impact of clinical and biological pre-transplant factors and comorbidity indexes on TRM after allogeneic HSCT in a large cohort of patients. Best results were obtained with young patients transplanted from an HLA-matched donor, with CMV other than R+/D-. High comorbidity scores (evaluated by PAM) were marginally associated with higher TRM. In G3 (pre-transplant telomere length available), only HLA-mismatch was significantly associated with higher TRM. Disclosures Peffault De Latour: Novartis: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy, Honoraria, Research Funding; Amgen: Research Funding; Alexion: Consultancy, Honoraria, Research Funding.


Sign in / Sign up

Export Citation Format

Share Document