Literature DB >> 28103944

A comparison between allogeneic stem cell transplantation from unmanipulated haploidentical and unrelated donors in acute leukemia.

Simona Piemontese1,2, F Ciceri1,2, M Labopin2,3, W Arcese4, S Kyrcz-Krzemien5, S Santarone6, H Huang7, D Beelen8, N C Gorin2,3, C Craddock9, Z Gulbas10, A Bacigalupo11, M Mohty2,3, A Nagler2,12.   

Abstract

BACKGROUND: In the absence of a HLA-matched related or matched unrelated donor, allogeneic stem cell transplantation (allo-SCT) from mismatched unrelated donors or haploidentical donors are potential alternatives for patients with acute leukemia with an indication to allo-SCT. The objective of this study was to compare the outcome of allo-SCT from T cell-replete haploidentical (Haplo) versus matched (MUD 10/10) or mismatched unrelated donor at a single HLA-locus (MMUD 9/10) for patients with acute leukemia in remission.
METHODS: Two hundred sixty-five adult patients with de novo acute leukemia in first or second remission that received a Haplo-SCT between January 2007 and December 2013 were compared with 2490 patients receiving a MUD 10/10 and 813 receiving a MMUD 9/10. Propensity score weighted analysis was conducted in order to control for disease risk imbalances between the groups.
RESULTS: The weighted 3-year non-relapse mortality and relapse incidence were 29 and 30% for Haplo, 21 and 29% for MUD 10/10, and 29 and 25% for MMUD 9/10, respectively. The weighted 3-year leukemia-free survival (LFS) and overall survival (OS) were 41 and 46% for Haplo, 50 and 56% for MUD 10/10, and 46 and 48% for MMUD 9/10, respectively. Using weighted Cox model, both LFS and OS were significantly higher in transplants from MUD 10/10 compared from those in Haplo but not different between transplants from MMUD 9/10 and Haplo. The type of donor was not significantly associated with neither acute nor chronic graft-versus-host disease.
CONCLUSIONS: Patients with acute leukemia in remission have better outcomes if transplanted from a MUD 10/10. We did not find any significant difference in outcome between transplants from MMUD 9/10 and Haplo, suggesting that both can be equally used in the absence of a 10/10 MUD. KEY POINT 1: Better outcomes using fully (10/10) matched unrelated donor for allo-SCT in acute leukemia in remission. KEY POINT 2: Similar outcomes after allo-SCT from unmanipulated haploidentical graft or mismatched (9/10) unrelated donor in acute leukemia in remission.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28103944      PMCID: PMC5248464          DOI: 10.1186/s13045-017-0394-2

Source DB:  PubMed          Journal:  J Hematol Oncol        ISSN: 1756-8722            Impact factor:   17.388


Background

Allogeneic stem cell transplantation (allo-SCT) represents the only possible cure for most adult acute leukemias (AL). HLA-matched related (MRD) or unrelated donors (MUD) are usually considered the preferable donors, but they are not available for all the patients with an indication for allo-SCT. In the absence of a HLA-matched donor, allo-SCT from mismatched unrelated donors (MMUD), cord blood units (CB), or haploidentical (Haplo) donors are potential alternatives. A Haplo donor is available for virtually all AL patients, enabling minimal delay and access to repeated stem cell (SC) donations or donor lymphocyte infusions, if needed. These are the main reasons for the increasing numbers of Haplo-SCT for AL in recent years. Unmanipulated (non ex vivo T-depleted) grafts from Haplo donors, in comparison to T-depleted ones, result in lower incidence of serious infections due to faster immune reconstitution and stronger graft versus leukemia effect [1, 2]. In addition, the introduction of more effective regimens for graft-versus-host disease (GvHD) prophylaxis for T-replete Haplo-SCT contributed to reduce GvHD incidence and to increase the use of unmaniplated grafts for the Haplo setting [3-10]. Recently, several reports have shown comparable allo-SCT outcomes between Haplo and historical MRD, MUD, and MMUD series [11-15]. However, these are mostly but one [14] single center studies with limited number of patients [11, 12, 15] in various disease categories and status. For these reasons, we decided to perform a large, registry-based study, using the European Society of Bone Marrow Transplantation (EBMT)-Acute Leukemia Working Party (ALWP) registry, comparing T-replete Haplo-SCT to transplants from MUD and MMUD for AL patients in first or second remission.

Methods

In order to be included in the study, the patients had to fulfill all the following criteria: age ≥18 years; de novo AL; disease status at transplant: complete remission 1 (CR1) or 2 (CR2); family donor with host/donor number of HLA mismatches ≥2 (Haplo), or MUD 10/10 or MMUD 9/10 (patients and donors should have HLA A, B, C, and DRB1 and DQB1 allelic typing performed); peripheral blood (PB) or bone marrow (BM) or both as source of SC; no ex vivo T cell depletion; and first allo-SCT (previous autologous SCT was allowed). All patients underwent transplantation between January 2007 and December 2013. We were able to verify the inclusion criteria for 265 Haplo-SCT, 2490 MUD 10/10-SCT, and 813 MMUD 9/10-SCT. This was a retrospective multicenter analysis. Data were provided and approved for this study by the ALWP of the EBMT group registry. The EBMT is a non-profit, scientific society representing more than 600 transplant centers mainly in Europe. The EBMT promotes all activity aiming to improve stem cell transplantation or cellular therapy, which includes registering all the activity relating to stem cell transplants. Data are entered, managed, and maintained in a central database with internet access; each EBMT center is represented in this database. There are no restrictions on centers for reporting data, except for those required by the law on patient consent, data confidentiality, and accuracy. Quality control measures included several independent systems: confirmation of validity of the entered data by the reporting team, selective comparison of the survey data with minimum essential data A (MED-A) data sets in the EBMT registry database, cross-checking with the National Registries, and regular in-house and external data audits. Since 1990, patients have provided informed consent authorizing the use of their personal information for research purposes.

Definitions and statistical analysis

The primary endpoints were leukemia-free survival (LFS) and overall survival (OS). The secondary endpoints were engraftment, acute and chronic GVHD (aGVHD and cGVHD), relapse incidence (RI), non-relapse mortality (NRM), and graft-versus-host relapse-free survival (GRFS) [16]. LFS was defined as time to death or relapse, whichever came first. OS was defined as time to death from all causes. NRM was defined as death without evidence of relapse. Engraftment was defined as the first of three consecutive days with an absolute neutrophil count > 0.5 × 109/L. Acute GVHD was graded according to the modified Seattle-Glucksberg criteria [17] and cGVHD according to the revised Seattle criteria [18]. We used propensity scores (PS) weighting to control for pre-treatment imbalances on observed variables. The following factors were included in the PS model: patient age, time from diagnosis to transplantation, year of transplant, diagnosis (AML versus ALL), status at transplant (CR1 versus CR2), cytogenetics group, donor/patient CMV serology, conditioning (RIC versus MAC), and sex matching (female donor to male recipient versus other). The estimation of propensity score was performed using generalized boosted models [19]. As the study question was whether Haplo could replace 10/10 or 9/10 MUD, we weighted the groups receiving either MUD 10/10- and MMUD 9/10-HSCT to match the characteristics of patients receiving Haplo-SCT, by estimating the average treatment effect among the treated (ATT); Haplo-HSCT being the treated group. The ATT weights equal one for Haplo-HSCT, and it equals the ratio of the propensity score to one minus the propensity score in the two UD-HSCT groups. Therefore, UD patients that were significantly different from average haplo-grafted patients had a low contribution in the comparisons. We checked the balance between the groups looking to ATT weighted means. Then, we used pairwise ATTs to fit the weighted Kaplan-Meier and Cox models separately for Haplo- versus MUD 10/10-HSCT and Haplo- versus MMUD 9/10-HSCT. The type I error rate was fixed at 0.05 for determination of factors associated with time to event. Analyses were performed using the R statistical software version 3.2.3 (R Development Core Team, Vienna, Austria); propensity score analysis was performed using the mnps function of the Twang package and weighted analyses using the survey package [20].

Results

Patients’ and donors’ characteristics

Patient’s and host/donors’ characteristics are showed in Table 1. Regimens, stem cell source, and GvHD prophylaxis are described in Table 2. Anti-thymocyte globulin (ATG) was used for in vivo T cell depletion in 120/265 Haplo (45%), 1457/2490 (59%) 10/10 MUD, and 550/813 (82%) 9/10 MMUD. Campath was used in 6/265 Haplo (1%), 302/2490 (12%) MUD, and 124/813 (18%) MMUD. PT-Cy was used in 107/265 Haplo (40%), 27/2490 (1%) MUD, and 12/813 (1%) MMUD. Among patients receiving a MMUD 9/10, 204 (25%) were mismatched in locus A, 115 (14%) in locus B, 275 (34%) in locus C, 62 (8%) in locus DRB1, and 157 (19%) in locus DQB1. Allelic typing for locus A, B, C, DRB1, and DQB1 was available for all patients and donors.
Table 1

Patients’ and host/donor characteristics

HaploMUD10/10MMUD 9/10MUD 10/10 vs HaploMMUD 9/10 vs Haplo
No.2652490813
Follow-up34.2 (3–84)35.7 (1–103)35.8 (1–102)0.930.72
Age42.8 (18–75)47.0 (18–76)44.8 (18–71)<10–30.017
Year of Tx2011 (07–13)2010 (07–13)2010 (07–13)<10–3<10–3
Diagnosis to transplant260 days (82–5784)196 days (71–5793)223d (73–4452)<10–30.016
Diagnosis
 AML1761645510
66%66%63%
 ALL898453030.900.28
34%34%37%
Disease status
 CR11591901580
60%76%71%
 CR2106589233<10–30.001
40%24%29%
Patient sex
 Male1551344442
58%54%54%
 Female11011463710.160.24
42%46%46%
Donor sex
 Male1391782490
52%72%61%
 Female126690312<10–30.013
48%28%39%
Female to male
 No1912186659
72%88%82%
 Yes74286143<10–3<10–3
28%12%18%
CMV neg to neg
 No2251673577
86%69%73%
 Yes36754212<10–3<10–3
14%31%27%
Cytogenetics
 Good2926168
11%10%8%
 Intermediate1681398446
63%56%55%
 Poor688312990.040.004
26%33%37%

See text for abbreviations. Cytogenetic risk at diagnosis for AML: good t(8;21), inv16 or t(16;16); poor monosomy/deletion 5 or 7, abnormalities 11q23, complex karyotype (≥3 abnormalities); intermediate all the others. Cytogenetic risk at diagnosis for ALL: adverse t(9;22) or t(4;11), intermediate all the others

Table 2

Conditioning regimens, stem cell source, and in vivo T cell depletion

No.HaploMUD10/10MMUD 9/10MUD 10/10 vs HaploMMUD 9/10 vs Haplo
2652490813
Conditioning
 MAC1381460489
52%59%60%
 RIC12710183220.030.02
48%41%40%
Stem cell source
 BM141473141<10–4<10–4
53%19%17%
 PB1242017672
47%81%83%
In vivo T cell depletion
 No38720137<10–4<10–4
15%29%17%
 ATG1201743664
45%70%82%
 Pt-Cy1072712
40%1%1%

See text for abbreviations

Patients’ and host/donor characteristics See text for abbreviations. Cytogenetic risk at diagnosis for AML: good t(8;21), inv16 or t(16;16); poor monosomy/deletion 5 or 7, abnormalities 11q23, complex karyotype (≥3 abnormalities); intermediate all the others. Cytogenetic risk at diagnosis for ALL: adverse t(9;22) or t(4;11), intermediate all the others Conditioning regimens, stem cell source, and in vivo T cell depletion See text for abbreviations

Engraftment

The 30-day CI of engraftment was 95% (92–97%) for Haplo, 97% (93–98%) for MUD 10/10, and 92% (88–95%) for MMUD 9/10. In weighted Cox model, CI of engraftment resulted to be lower in Haplo versus MUD 10/10 (p = 0.015) but not different between Haplo and MMUD 9/10 (p = 0.62).

Non-relapse mortality, acute and chronic GvHD

The weighted CI of NRM at 3 years was 29% (23–34%), 21% (15–26%), and 29% (23–35%) for Haplo , MUD 10/10, and MMUD 9/10 (Fig. 1a), respectively. In weighted Cox model, NRM was lower in MUD 10/10 as compared in Haplo, but not different from that in MMUD 9/10 (Table 3). The percentage of grades II–IV aGvHD was 28% (22–33%), 25% (18–31%), and 27% (21–33%) for Haplo, MUD 10/10, and MMUD 9/10, respectively. The frequency of grades III–IV aGvHD was 10% (6–13%) for Haplo, 7% (3–10%) for MUD 10/10, and 11% (6–15%) for MMUD 9/10. The 3-year CI of overall cGvHD and extensive cGvHD was 34% (28–40%) and 15% (10–20%), 40% (33–47%) and 22% (15–28%), and 33% (26–39%) and 18% (12–23%) for Haplo, MUD 10/10, and MMUD 9/10, respectively. Neither grades II–IV aGvHD nor chronic GvHD incidences differed between Haplo versus MUD 10/10 and Haplo versus MMUD 9/10 in weighted Cox analysis (Table 3).
Fig. 1

Weighted CI of relapse and non-relapse mortality according to donor type. a Weighted CI of relapse. b Weighted CI of NRM

Table 3

Weighted Cox model for NRM, RI, LFS, OS, and GRFS

3-yearMUD 10/10 vs Haplo p MMUD 9/10 vs Haplo p
HR (95%CI)HR (95%CI)
Day 30 PMN engraftment0.845 (0.740-0.968)0.0150.961 (0.819-1.127)0.623
II–IV aGvHD0.8877 (0.6777–1.163)0.3871.0433 (0.7716–1.411)0.783
III–IV aGvHD0.673 (0.4334–1.045)0.0781.184 (0.7221–1.942)0.5027
cGVHD all1.0763 (0.8474–1.367)0.5470.9555 (0.7264–1.257)0.745
Extensive cGvHD1.483 (0.9890–2.224)0.0571.288 (0.8342–1.990)0.253
NRM0.6363 (0.4838–0.8369)0.00120.9905 (0.7009–1.3997)0.957
RI0.8624 (0.6668–1.115)0.2590.8426 (0.6312–1.125)0.245
LFS0.7487 (0.6229–0.8998)0.0020.9164 (0.7296–1.1511)0.45
OS0.7074 (0.5824–0.8591)0.00050.9300 (0.7302–1.1844)0.56
GRFS0.8804 (0.7433–1.043)0.141.0313 (0.8370–1.271)0.772

See text for abbreviations

Weighted CI of relapse and non-relapse mortality according to donor type. a Weighted CI of relapse. b Weighted CI of NRM Weighted Cox model for NRM, RI, LFS, OS, and GRFS See text for abbreviations

Relapse incidence

The weighted CI of relapse at 3 years was 30% (24–35%), 29% (22–35%), and 25% (19–31%) for Haplo, MUD 10/10, and MMUD 9/10, respectively (Fig. 1b).The type of donor was not a predictive factor for relapse in weighted Cox model (Table 3).

LFS, OS, and GRFS

The median follow-up among survivors was 34 (range, 3–84) months for Haplo, 36 (range, 1–103) for MUD 10/10, and 36 (range, 1–102) for MMUD 9/10, respectively. The weighted probability of LFS at 3 years was 41% (35–48%), 50% (43–58%), and 46% (39–53%) for Haplo, 10/10 MUD, and 9/10 MMUD, respectively (Fig. 2).The weighted probability of 3-year OS was 46% (40–53%), 56% (49–64%), and 48% (41–56%) (Fig. 2).The 3-year GRFS was 33% (28–40%), 36% (29–44%), and 34% (28–41%) for Haplo, 10/10 MUD, and 9/10 MMUD, respectively (Fig. 2). In the weighted Cox analysis, LFS and OS resulted to be better for MUD 10/10 compared with Haplo, but no statistical difference comparing Haplo with MUD 9/10. No statistical differences were found in GRFS according to the type of donor in the weighted Cox analysis (Table 3).
Fig. 2

Weighted probability of leukemia-free survival and overall survival according to donor type. a Weighted probability of leukemia-free survival. b Weighted probability of overall survival

Weighted probability of leukemia-free survival and overall survival according to donor type. a Weighted probability of leukemia-free survival. b Weighted probability of overall survival

Discussion

In the absence of a MRD for allo-SCT in acute leukemia, the ideal donor still remains to be determined. The current report represents a large registry study comparing the outcome between transplants from Haplo and MUD 10/10 or MMUD 9/10 for adult patients with de novo AL in remission. As a recent ALWP-EBMT survey on unmanipulated haploidentical transplantation in AL showed a lower incidence of aGvHD in patients receiving PT-Cy but no significant statistical differences in either LFS or OS [21], in our study we included all the non T-depleted Haplo-SCT registered in the EBMT database. Previous reports described worse outcomes after MMUD in comparison to MUD [22-26], and this finding was in accordance to our preliminary data and to a recent ALWP publication [27]. We did not find any differences in terms of LSF and OS in the 813 MMUD-SCT according to HLA-DQ mismatch in univariate analysis (p = 0.35). Therefore, we decided to compare separately MUD 10/10 and MMUD 9/10 transplants with Haplo. The 30-day CI of engraftment proved to be lower in Haplo than in MUD 10/10 but not different between Haplo and MMUD 9/10. In addition to the type of donor, the number and type of chemotherapy cycles pre-transplant and/or early post-transplant infections, in particular viral, could have had an impact on differences in engraftment. A lower incidence of engraftment in Haplo compared in UD was previously reported in both reduced intensity [14] and myeloablative conditioning transplants [15]. Notably, we did not find any difference in the incidence of either aGvHD > II or cGvHD according to donor type in line with similar comparisons in literature. This was true also for grades III–IV aGvHD and extensive cGvHD. In the recent report comparing Haplo using PT-Cy to UD from the Center for International Blood and Marrow Transplant Research (CIBMTR), the authors describe a lower incidence of acute and cGvHD in Haplo on univariate analysis [14], but most of the Haplo were performed using BM as stem cell source, and most of the UD using PB without receiving any in vivo T cell depletion. Of note, they did not find any difference in the 3-year cGvHD incidence according to donor type when analyzing only patients receiving BM. The role of stem cell source as risk factor for cGvHD after Haplo-SCT remains to be determined. While some reports do not show any difference in terms of cGvHD between PB and BM in haploidentical transplantations using PT-Cy [28, 29], a recent comparison from CIBMTR concludes for a high incidence of cGvHD using PB instead of BM [30]. Notable, in the context of UD, cGvHD has been shown to be higher using PBSC [31] especially if not using in vivo T cell depletion [32]. The 3-year NRM was higher using Haplo (29%) compared with MUD 10/10 (21%) but identical compared with MMUD (29%), in contrast with other reports on similar comparisons where the authors did not find any difference [11-15]. This higher NRM in Haplo compared in MUD 10/10 could be in part due to the use of in vivo T cell depletion other than PT-Cy in the 45% of our Haplo [33]. In addition to the type of in vivo T cell depletion, also, differences in conditioning regimens could explain our finding [14]. Patients’ comorbidities, mostly unknown in restrospective study, could also have influenced NRM. The 3-year CI of relapse was not different between the three groups. The lower NRM in MUD 10/10 resulted in both a higher 3-year LFS and OS compared in Haplo but no difference in GRFS. No differences in either OS, LFS, or GRFS were observed between Haplo and MMUD 9/10. Analyzing separately patients with AML and ALL, we found no differences of GRFS in Haplo compared in MUD 10/10 and compared in MMUD 9/10, higher LFS and OS in MUD 10/10 compared in Haplo but no differences between Haplo and MMUD 9/10 in terms of LFS and OS (Additional file 1). Based on these results, we can assert that patients with acute leukemia in remission showed better outcomes if transplanted from a MUD 10/10. We did not find any significant difference in outcome between MMUD 9/10 and Haplo, suggesting that both can be equally used in the absence of a MUD 10/10 and that other factors, such as urgency of transplant and center expertise should dictate the choice between these two alternative donor sources. Ongoing and future prospective clinical studies, including transplants from CBU, will ultimately be required to determine the best alternative donor for adult AL patients who lack an HLA-matched sibling one.
  30 in total

1.  G-CSF-primed haploidentical marrow transplantation without ex vivo T cell depletion: an excellent alternative for high-risk leukemia.

Authors:  S-Q Ji; H-R Chen; H-X Wang; H-M Yan; L Zhu; J Liu; M Xue; C-Q Xun
Journal:  Bone Marrow Transplant       Date:  2002-12       Impact factor: 5.483

2.  Conditioning including antithymocyte globulin followed by unmanipulated HLA-mismatched/haploidentical blood and marrow transplantation can achieve comparable outcomes with HLA-identical sibling transplantation.

Authors:  Dao-Pei Lu; Lujia Dong; Tong Wu; Xiao-Jun Huang; Mei-Jie Zhang; Wei Han; Huan Chen; Dai-Hong Liu; Zhi-Yong Gao; Yu-Hong Chen; Lan-Ping Xu; Yao-Chen Zhang; Han-Yun Ren; Dan Li; Kai-Yan Liu
Journal:  Blood       Date:  2005-12-27       Impact factor: 22.113

3.  Post-transplant cyclophosphamide versus anti-thymocyte globulin as graft- versus-host disease prophylaxis in haploidentical transplant.

Authors:  Annalisa Ruggeri; Yuqian Sun; Myriam Labopin; Andrea Bacigalupo; Francesca Lorentino; William Arcese; Stella Santarone; Zafer Gülbas; Didier Blaise; Giuseppe Messina; Ardeshi Ghavamzadeh; Florent Malard; Benedetto Bruno; Jose Luis Diez-Martin; Yener Koc; Fabio Ciceri; Mohamad Mohty; Arnon Nagler
Journal:  Haematologica       Date:  2016-10-06       Impact factor: 9.941

4.  T-cell-replete HLA-haploidentical hematopoietic transplantation for hematologic malignancies using post-transplantation cyclophosphamide results in outcomes equivalent to those of contemporaneous HLA-matched related and unrelated donor transplantation.

Authors:  Asad Bashey; Xu Zhang; Connie A Sizemore; Karen Manion; Stacey Brown; H Kent Holland; Lawrence E Morris; Scott R Solomon
Journal:  J Clin Oncol       Date:  2013-02-19       Impact factor: 44.544

5.  Impact of HLA class I and class II high-resolution matching on outcomes of unrelated donor bone marrow transplantation: HLA-C mismatching is associated with a strong adverse effect on transplantation outcome.

Authors:  Neal Flomenberg; Lee Ann Baxter-Lowe; Dennis Confer; Marcelo Fernandez-Vina; Alexandra Filipovich; Mary Horowitz; Carolyn Hurley; Craig Kollman; Claudio Anasetti; Harriet Noreen; Ann Begovich; William Hildebrand; Effie Petersdorf; Barbara Schmeckpeper; Michelle Setterholm; Elizabeth Trachtenberg; Thomas Williams; Edmond Yunis; Daniel Weisdorf
Journal:  Blood       Date:  2004-06-10       Impact factor: 22.113

6.  Hematopoietic cell transplantation from an HLA-mismatched familial donor is feasible without ex vivo-T cell depletion after reduced-intensity conditioning with busulfan, fludarabine, and antithymocyte globulin.

Authors:  Kyoo-Hyung Lee; Je-Hwan Lee; Jung-Hee Lee; Dae-Young Kim; Se-Hyung Kim; Ho-Jin Shin; Young-Shin Lee; Young-Ah Kang; Miee Seol; Sung-Gil Ryu
Journal:  Biol Blood Marrow Transplant       Date:  2009-01       Impact factor: 5.742

7.  Unmanipulated haploidentical transplants compared with other alternative donors and matched sibling grafts.

Authors:  Anna Maria Raiola; Alida Dominietto; Carmen di Grazia; Teresa Lamparelli; Francesca Gualandi; Adalberto Ibatici; Stefania Bregante; Maria Teresa Van Lint; Riccardo Varaldo; Anna Ghiso; Marco Gobbi; Angelo Michele Carella; Alessio Signori; Federica Galaverna; Andrea Bacigalupo
Journal:  Biol Blood Marrow Transplant       Date:  2014-06-05       Impact factor: 5.742

8.  Bone marrow compared with peripheral blood stem cells for haploidentical transplantation with a nonmyeloablative conditioning regimen and post-transplantation cyclophosphamide.

Authors:  Luca Castagna; Roberto Crocchiolo; Sabine Furst; Stefania Bramanti; Jean El Cheikh; Barbara Sarina; Angela Granata; Elisa Mauro; Catherine Faucher; Bilal Mohty; Samia Harbi; Christian Chabannon; Carmelo Carlo-Stella; Armando Santoro; Didier Blaise
Journal:  Biol Blood Marrow Transplant       Date:  2014-02-13       Impact factor: 5.742

9.  Comparison of Patient-Reported Outcomes in 5-Year Survivors Who Received Bone Marrow vs Peripheral Blood Unrelated Donor Transplantation: Long-term Follow-up of a Randomized Clinical Trial.

Authors:  Stephanie J Lee; Brent Logan; Peter Westervelt; Corey Cutler; Ann Woolfrey; Shakila P Khan; Edmund K Waller; Richard T Maziarz; Juan Wu; Bronwen E Shaw; Dennis Confer; Mary M Horowitz; Claudio Anasetti
Journal:  JAMA Oncol       Date:  2016-12-01       Impact factor: 31.777

10.  The impact of HLA-matching on reduced intensity conditioning regimen unrelated donor allogeneic stem cell transplantation for acute myeloid leukemia in patients above 50 years-a report from the EBMT acute leukemia working party.

Authors:  Marie T Rubio; Bipin N Savani; Myriam Labopin; Emmanuelle Polge; Dietger Niederwieser; Arnold Ganser; Rainer Schwerdtfeger; Gerhard Ehninger; Jürgen Finke; Arnold Renate; Charles Craddock; Nicolaus Kröger; Michael Hallek; Pavel Jindra; Mohamad Mohty; Arnon Nagler
Journal:  J Hematol Oncol       Date:  2016-08-03       Impact factor: 17.388

View more
  20 in total

1.  A machine learning compatible method for ordinal propensity score stratification and matching.

Authors:  Thomas J Greene; Stacia M DeSantis; Derek W Brown; Anna V Wilkinson; Michael D Swartz
Journal:  Stat Med       Date:  2020-12-22       Impact factor: 2.373

2.  In Vitro Expansion of Hematopoietic Stem Cells by Inhibition of Both GSK3 and p38 Signaling.

Authors:  Jing Li; Lei Zhang; Lizhi Yin; Na Ma; Tian Wang; Yuanyuan Wu; Ming Wang; Xingxing Yang; Hui Xu; Caiqin Hao; Wenyan Li; Wei Wei; Yan Xu; Feng Zhang; Peter Breslin; Jiwang Zhang; Jun Zhang
Journal:  Stem Cells Dev       Date:  2019-10-29       Impact factor: 4.390

3.  Unmanipulated haploidentical stem cell transplantation in adults with acute lymphoblastic leukemia: a study on behalf of the Acute Leukemia Working Party of the EBMT.

Authors:  Nicole Santoro; Annalisa Ruggeri; Myriam Labopin; Andrea Bacigalupo; Fabio Ciceri; Zafer Gülbaş; He Huang; Boris Afanasyev; William Arcese; Depei Wu; Yener Koc; Johanna Tischer; Stella Santarone; Sebastian Giebel; Mohamad Mohty; Arnon Nagler
Journal:  J Hematol Oncol       Date:  2017-05-30       Impact factor: 17.388

4.  Single- or double-unit UCBT following RIC in adults with AL: a report from Eurocord, the ALWP and the CTIWP of the EBMT.

Authors:  Frédéric Baron; Annalisa Ruggeri; Eric Beohou; Myriam Labopin; Mohamad Mohty; Didier Blaise; Jan J Cornelissen; Patrice Chevallier; Guillermo Sanz; Eefke Petersen; Bipin N Savani; Eliane Gluckman; Arnon Nagler
Journal:  J Hematol Oncol       Date:  2017-06-21       Impact factor: 17.388

5.  Haploidentical stem cell transplantation (HaploSCT) for patients with acute leukemia-an update on behalf of the ALWP of the EBMT.

Authors:  Arnon Nagler; Annalisa Ruggeri
Journal:  Bone Marrow Transplant       Date:  2019-08       Impact factor: 5.483

6.  Survival and Functional Immune Reconstitution After Haploidentical Stem Cell Transplantation in Atm-Deficient Mice.

Authors:  Ruth Pia Duecker; Lucia Gronau; Patrick C Baer; Stefan Zielen; Ralf Schubert
Journal:  Front Immunol       Date:  2021-06-29       Impact factor: 7.561

7.  Allogeneic stem cell transplantation benefits for patients ≥ 60 years with acute myeloid leukemia and FLT3 internal tandem duplication: a study from the Acute Leukemia Working Party of the European Society for Blood and Marrow Transplantation.

Authors:  Xavier Poiré; Myriam Labopin; Emmanuelle Polge; Jakob Passweg; Charles Craddock; Didier Blaise; Jan J Cornelissen; Liisa Volin; Nigel H Russell; Gérard Socié; Mauricette Michallet; Nathalie Fegueux; Patrice Chevallier; Arne Brecht; Mathilde Hunault-Berger; Mohamad Mohty; Jordi Esteve; Arnon Nagler
Journal:  Haematologica       Date:  2017-12-14       Impact factor: 9.941

8.  Haploidentical allograft is superior to matched sibling donor allograft in eradicating pre-transplantation minimal residual disease of AML patients as determined by multiparameter flow cytometry: a retrospective and prospective analysis.

Authors:  Ying-Jun Chang; Yu Wang; Yan-Rong Liu; Lan-Ping Xu; Xiao-Hui Zhang; Huan Chen; Yu-Hong Chen; Feng-Rong Wang; Wei Han; Yu-Qian Sun; Chen-Hua Yan; Fei-Fei Tang; Xiao-Dong Mo; Kai-Yan Liu; Xiao-Jun Huang
Journal:  J Hematol Oncol       Date:  2017-07-04       Impact factor: 17.388

Review 9.  Haploidentical hematopoietic cell transplantation for adult acute myeloid leukemia: a position statement from the Acute Leukemia Working Party of the European Society for Blood and Marrow Transplantation.

Authors:  Catherine J Lee; Bipin N Savani; Mohamad Mohty; Myriam Labopin; Annalisa Ruggeri; Christoph Schmid; Frédéric Baron; Jordi Esteve; Norbert C Gorin; Sebastian Giebel; Fabio Ciceri; Arnon Nagler
Journal:  Haematologica       Date:  2017-09-07       Impact factor: 9.941

10.  ATIR101 administered after T-cell-depleted haploidentical HSCT reduces NRM and improves overall survival in acute leukemia.

Authors:  Denis Claude Roy; Irwin Walker; Johan Maertens; Philippe Lewalle; Eduardo Olavarria; Dominik Selleslag; Sylvie Lachance; Marc Buyse; Kun Wang; Jeroen Rovers; Irene Santi; Halvard Bonig; Andrew Sandler; Jurjen Velthuis; Stephan Mielke
Journal:  Leukemia       Date:  2020-02-11       Impact factor: 11.528

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.