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MATERIALS & METHODS CONCLUSION INTRODUCTION ACKNOWLEDGEMENTS www.kiadis.com #P442 Effect of graft source on safety and efficacy in patients undergoing hematopoietic stem cell transplantation Stephan Mielke 1,* , Johan Maertens 2 , Dominik Selleslag 3 , Phillippe Lewalle 4 , Irwin Walker 5 , Denis-Claude Roy 6 , Gerard Bos 7 , Steven Devine 8 , Dragana Milojkovic 9 , Lisya Gerez 10 , Kees Meewisse 10 , Karen Reitsma 10 , Manfred Rüdiger 10 , Jeroen Rovers 10 1 Division of Hematology and Oncology, Department of Medicine II, Julius-Maximilian-University, Würzburg, Germany, 2 Department of Haematology, University Hospital Gasthuisberg, Leuven, 3 Department of Hematology, AZ Sint-Jan Brugge-Oostende AV, Brugge, 4 Laboratory of Experimental Hematology, Institut Jules Bordet, ULB, Brussels, Belgium, 5 Department of Medicine, Juravinski Hospital and Cancer Centre, Hamilton, 6 Blood and Marrow Transplantation Program, Div. of Hematology-Oncology, Hôpital Maisonneuve-Rosemont, University of Montreal, Quebec, Canada, 7 Department of Hematology, University Hospital Maastricht, Maastricht, Netherlands, 8 Department of Hematology, The Ohio State University James Cancer Hospital, Columbus, United States, 9 Department of Hematology, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, United Kingdom, 10 Kiadis Pharma, Amsterdam-Duivendrecht, Netherlands Donor availability remains a major challenge in allogeneic stem cell transplantations (HSCT). For patients who cannot find an HLA-matched sibling donor, current standard of care is a fully matched unrelated donor (MUD). However, not for all a MUD can be found and additional alternatives such as single loci mismatched unrelated donors, umbilical cord blood or haploidentical donors are used. Each alternative donor source and transplant regimen has its specific pro’s and con’s. In this retrospective study we collected transplant outcome data from different alternative donor transplants and compare these against the standard of care. In this retrospective, multicenter study (CR-AIR-006; NCT02188290) data was collected on outcome of HSCT in patients with AML or ALL (both in remission) or MDS, using either a fully matched (8/8 or 10/10) unrelated donor (MUD), a single-locus mismatched (9/10) unrelated donor (MMUD), umbilical cord blood (UCB) or a haploidentical (3/6, 4/6, 5/10, 6/10) donor (CD34-HAPLO). Transplantations were performed between January 2010 and January 2013 (MUD, MMUD, UCB) or between January 2006 and July 2013 (CD34-HAPLO). Haploidentical donor transplantations were conducted using myeloablative conditioning and a T-cell depleted (CD34 + selection) graft. Non-relapse mortality (NRM) and overall survival (OS) up to 12 months post HSCT were compared between the four groups. In addition, incidence and severity of acute and chronic graft-versus-host disease (GvHD) up to 12 months was compared between groups. To determine clinical benefit of each transplantation regimen a composite end-point of GVHD-free, Relapse-Free Survival (GRFS) was used. Our data show that the current alternatives (MMUD, UCB or CD34-HAPLO) have a worse outcome compared to standard of care (MUD). Use of MMUD or UCB donors shows higher rates of GVHD and NRM. Use of T-cell depleted haploidentical donors has substantially less GVHD, but more infections and thus much higher rates of NRM. On the GRFS endpoint all alternative donor sources perform poorly compared to MUD, as GVHD remains a major issue in MMUD and UCB transplants. In CD34-HAPLO NRM is the major drawback, as T-cell reconstitution is severely delayed. Adding additional donor lymphocytes post-HSCT could overcome limitation of this CD34+ selected HAPLO regimen. Data collected will serve as historic control group in the development of post-HSCT donor lymphocyte infusion, depleted of alloreactive T-cells (ATIR101). Characteristics Number of patients Age (yrs, median, range) Gender (% male) Diagnosis (%) AML ALL MDS Conditioning regimen (%) Myeloablative RIC TBI (%) None Fractionated Non-fractionated Viable CD34+ (x10 6 cells/kg, median, range) Viable CD3+ (x10 4 cells/kg, median, range) Neurophil engraftment (days, median, range) Platelet engraftment (days, median, range) CD34-HAPLO 35 43.0 (19-62) 57.1 71.4 11.4 17.1 74.4 25.7 28.6 54.3 17.1 7 (2.18-15.1) 3.95 (0.2-40) 16 (9-31) 23 (8-67) RESULTS MUD 64 47.5 (20-63) 53.1 67.2 14.1 18.8 53.1 46.9 4.7 32.8 12.5 7 (1.5-920) 9030 (1.47-50000) 17 (9-37) 18 (8-173) MMUD 37 54.0 (28-65) 37.8 67.6 18.9 13.5 56.8 43.2 59.5 21.6 18.9 6.6 (0.63-390) 4600 (0.71-39900) 17 (9-25) 16 (9-44) UCB 22 38.5 (18-64) 54.5 63.6 22.7 13.6 59.1 40.9 0 54.5 45.5 0.14 (0-13.7) 911 (834-1200) 20 (2-45) 39 (8-173) Figure 1. Maximum severity of GvHD event as percentage per group. (A) Acute GvHD events as percentage per group. Acute GVDH grade III-IV was less frequent in the CD34-HAPLO group (6%) compared with other groups (MUD: 11%; MMUD: 16%; UCB: 27%). (B) Chronic GvHD events as percentage per group. There was also less chronic GvHD in the CD34-HAPLO groups (11%) compared to the other groups (MUD: 39%; MMUD: 30%; UCB: 32%). Table 1. Patient characteristics per group. Data on 158 subjects was collected: CD34-HAPLO =35; MUD=64; MMUD=37; UCB (double cord)=22. 0% 25% 50% 75% 100% HAPLO MUD MMUD UCB No acute GvHD Grade 1 Grade 2 Grade 3 Grade 4 Unknown severity No chronic GvHD Mild Moderate Severe Unknown severity 0% 25% 50% 75% 100% HAPLO MUD MMUD UCB A B Figure 3. Overall Survival Twelve month OS was lower for the CD34-HAPLO treatment group (20%) compared to all other treatment groups (MUD: 86%; MMUD: 64%; UCB: 55%). NRM was lower for the MUD group (9%) compared to the other groups (CD34-HAPLO: 66%; MMUD: 25%; UCB: 36%). Figure 4.GvHD-Relapse Free Suvivial (GRFS) GFRS is defined as alinve with no relapse, no grade III - IV acute GvHD and no chronic GvHD. This is a standard Kaplan-Meier analysis of survival. When looking at the GRFS it is clear that MUD transplantations have the best outcome, and that all other alternative donor sources have a low GRFS at 1-year post-HSCT. 0.00 0.25 0.50 0.75 1.00 0 100 200 300 Time in days Probability CD34-HAPLO 0 100 200 300 MUD 0 100 200 300 MMUD 0 100 200 300 UCB Relapse status Alive Relapse, alive Death after relapse NRM Figure 2. Stacked probabilities of relapse and death events per group. Relapse occurred in 15% of the 158 patients with 12 months cumulative incidences of 20% in the CD34-HAPLO group, 14% in the MUD group, 16% in the MMUD group and 9% in the UCB group. OS Probability 1.0 0.8 0.6 0.4 0.2 0.0 Time after HSCT (months) 0 3 6 9 12 GRFS Probability 1.0 0.8 0.6 0.4 0.2 0.0 Time after HSCT (months) 0 3 6 9 12 CD34-HAPLO (n=35) 9/10 MMUD (n=37) 10/10 (8/8) MUD (n=64) UCB (n=22) CD34-HAPLO (n=35) 9/10 MMUD (n=37) 10/10 (8/8) MUD (n=64) UCB (n=22) Kiadis Pharma would like to thank David Janson & Ronald Brand, Dep. of Medical Statistics & BioInformatics, Leiden University Medical Center, The Netherlands for the statistical analysis performed. Conflict of Interest statement SM, JM, DS, PL, IW, DCR, GB, SD and DM have received research funding and/or travel grants from Kiadis pharma. LG, KM, KR, MR and JR are employees of Kiadis pharma. MR and JR have personal financial interest in Kiadis pharma.

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Page 1: Effect of graft source on safety and efficacy in patients ...In CD34-HAPLO NRM is the major drawback, as T-cell reconstitution is severely delayed. Adding additional donor lymphocytes

MATERIALS & METHODS

CONCLUSION

INTRODUCTION

ACKNOWLEDGEMENTS

www.kiadis.com#P442

Effect of graft source on safety and efficacy in patients undergoing hematopoietic stem cell transplantation

Stephan Mielke1,*, Johan Maertens2, Dominik Selleslag3, Phillippe Lewalle4, Irwin Walker5, Denis-Claude Roy6, Gerard Bos7, Steven Devine8, Dragana Milojkovic9, Lisya Gerez10, Kees Meewisse10, Karen Reitsma10, Manfred Rüdiger10, Jeroen Rovers10

1Division of Hematology and Oncology, Department of Medicine II, Julius-Maximilian-University, Würzburg, Germany, 2Department of Haematology, University Hospital Gasthuisberg, Leuven, 3Department of Hematology, AZ Sint-Jan Brugge-Oostende AV, Brugge, 4Laboratory of Experimental Hematology, Institut Jules Bordet, ULB, Brussels, Belgium, 5Department of Medicine, Juravinski Hospital and Cancer Centre, Hamilton, 6Blood and Marrow Transplantation Program, Div. of Hematology-Oncology, Hôpital Maisonneuve-Rosemont, University of Montreal, Quebec, Canada, 7Department of Hematology, University Hospital Maastricht, Maastricht, Netherlands, 8Department of Hematology, The Ohio State University James Cancer Hospital, Columbus, United States, 9Department of Hematology, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, United Kingdom, 10Kiadis Pharma, Amsterdam-Duivendrecht, Netherlands

Donor availability remains a major challenge in allogeneic stem cell transplantations (HSCT). For patients who cannot �nd an HLA-matched sibling donor, current standard of care is a fully matched unrelated donor (MUD). However, not for all a MUD can be found and additional alternatives such as single loci mismatched unrelated donors, umbilical cord blood or haploidentical donors are used. Each alternative donor source and transplant regimen has its speci�c pro’s and con’s. In this retrospective study we collected transplant outcome data from di�erent alternative donor transplants and compare these against the standard of care.

In this retrospective, multicenter study (CR-AIR-006; NCT02188290) data was collected on outcome of HSCT in patients with AML or ALL (both in remission) or MDS, using either a fully matched (8/8 or 10/10) unrelated donor (MUD), a single-locus mismatched (9/10) unrelated donor (MMUD), umbilical cord blood (UCB) or a haploidentical (3/6, 4/6, 5/10, 6/10) donor (CD34-HAPLO). Transplantations were performed between January 2010 and January 2013 (MUD, MMUD, UCB) or between January 2006 and July 2013 (CD34-HAPLO). Haploidentical donor transplantations were conducted using myeloablative conditioning and a T-cell depleted (CD34+ selection) graft. Non-relapse mortality (NRM) and overall survival (OS) up to 12 months post HSCT were compared between the four groups. In addition, incidence and severity of acute and chronic graft-versus-host disease (GvHD) up to 12 months was compared between groups. To determine clinical bene�t of each transplantation regimen a composite end-point of GVHD-free, Relapse-Free Survival (GRFS) was used.

Our data show that the current alternatives (MMUD, UCB or CD34-HAPLO) have a worse outcome compared to standard of care (MUD). Use of MMUD or UCB donors shows higher rates of GVHD and NRM. Use of T-cell depleted haploidentical donors has substantially less GVHD, but more infections and thus much higher rates of NRM. On the GRFS endpoint all alternative donor sources perform poorly compared to MUD, as GVHD remains a major issue in MMUD and UCB transplants. In CD34-HAPLO NRM is the major drawback, as T-cell reconstitution is severely delayed. Adding additional donor lymphocytes post-HSCT could overcome limitation of this CD34+ selected HAPLO regimen. Data collected will serve as historic control group in the development of post-HSCT donor lymphocyte infusion, depleted of alloreactive T-cells (ATIR101).

Characteristics Number of patientsAge (yrs, median, range)Gender (% male)Diagnosis (%) AML ALL MDSConditioning regimen (%) Myeloablative RICTBI (%) None Fractionated Non-fractionatedViable CD34+ (x106 cells/kg, median, range)Viable CD3+ (x104 cells/kg, median, range)Neurophil engraftment (days, median, range)Platelet engraftment (days, median, range)

CD34-HAPLO35

43.0 (19-62)57.1

71.411.417.1

74.425.7

28.654.317.1

7 (2.18-15.1)

3.95 (0.2-40)16 (9-31)

23 (8-67)

RESULTSMUD

6447.5 (20-63)

53.1

67.214.118.8

53.146.9

4.732.812.5

7 (1.5-920)

9030 (1.47-50000)

17 (9-37)

18 (8-173)

MMUD37

54.0 (28-65)37.8

67.618.913.5

56.843.2

59.521.618.9

6.6 (0.63-390)

4600 (0.71-39900)

17 (9-25)

16 (9-44)

UCB22

38.5 (18-64)54.5

63.622.713.6

59.140.9

054.545.5

0.14 (0-13.7)

911 (834-1200)20 (2-45)

39 (8-173)

Figure 1. Maximum severity of GvHD event as percentage per group. (A) Acute GvHD events as percentage per group. Acute GVDH grade III-IV was less frequent in the CD34-HAPLO group (6%) compared with other groups (MUD: 11%; MMUD: 16%; UCB: 27%).(B) Chronic GvHD events as percentage per group. There was also less chronic GvHD in the CD34-HAPLO groups (11%) compared to the other groups (MUD: 39%; MMUD: 30%; UCB: 32%).

Table 1. Patient characteristics per group.Data on 158 subjects was collected: CD34-HAPLO =35; MUD=64; MMUD=37; UCB (double cord)=22.

0%25%50%75%100%

HAPLO

MUD

MMUD

UCB

No acute GvHDGrade 1Grade 2

Grade 3Grade 4Unknown severity

No chronic GvHDMildModerate

SevereUnknown severity

0%25%50%75%100%

HAPLO

MUD

MMUD

UCB

A B

Figure 3. Overall Survival Twelve month OS was lowerfor the CD34-HAPLO treatment group (20%) compared to all other treatment groups (MUD: 86%; MMUD: 64%; UCB: 55%).

NRM was lower for the MUD group (9%) compared to theother groups (CD34-HAPLO: 66%; MMUD: 25%; UCB: 36%).

Figure 4.GvHD-Relapse Free Suvivial (GRFS)GFRS is de�ned as alinve with no relapse, no grade III - IV acute GvHD and no chronic GvHD. This is a standard Kaplan-Meier analysis of survival.

When looking at the GRFS it is clear that MUD transplantations have the best outcome, and that all other alternative donor sources have a low GRFS at 1-year post-HSCT.

0.00

0.25

0.50

0.75

1.00

0 100 200 300Time in days

Prob

abili

ty

CD34-HAPLO

0 100 200 300

MUD

0 100 200 300

MMUD

0 100 200 300

UCB

Relapse statusAlive Relapse, alive Death after relapse NRM

Figure 2. Stacked probabilities of relapse and death events per group.Relapse occurred in 15% of the 158 patients with 12 months cumulative incidences of 20% in the CD34-HAPLO group, 14% in the MUD group, 16% in the MMUD group and 9% in the UCB group.

OS

Prob

abili

ty

1.0

0.8

0.6

0.4

0.2

0.0

Time after HSCT (months)0 3 6 9 12

GRF

S Pr

obab

ility

1.0

0.8

0.6

0.4

0.2

0.0

Time after HSCT (months)0 3 6 9 12

CD34-HAPLO (n=35)9/10 MMUD (n=37)10/10 (8/8) MUD (n=64)UCB (n=22)

CD34-HAPLO (n=35)9/10 MMUD (n=37)10/10 (8/8) MUD (n=64)UCB (n=22)

Kiadis Pharma would like to thank David Janson & Ronald Brand, Dep. of Medical Statistics & BioInformatics, Leiden University Medical Center, The Netherlands for the statistical analysis performed.

Con�ict of Interest statementSM, JM, DS, PL, IW, DCR, GB, SD and DM have received research funding and/or travel grants from Kiadis pharma. LG, KM, KR, MR and JR are employees of Kiadis pharma. MR and JR have personal �nancial interest in Kiadis pharma.