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Human leukocyte antigen (HLA)-matched sibling donors (MSD) are the ideal donors for allogeneic hematopoietic stem cell transplantation (allo-HSCT), however, MSDs are only available in 30% of cases.1 Using other donor types increases the risk of graft-versus-host disease (GvHD) and non-relapse mortality (NRM), though may promote an allo-immune effect against the tumor, thereby reducing the risk of relapse. Overall, diagnosis and disease status at time of transplant remain the main drivers of transplant outcome. 1
The development and increased clinical usage of reduced-intensity conditioning (RIC) regimens and GvHD prophylactic agents have made transplantation an option for more patients. Roni Shouval, Joshua A Fein, and colleagues, hypothesized that the effect on overall survival (OS) and NRM due to the genetic disparity between donor and recipient may have diminished over time. Therefore, they conducted an analysis of adult patients who underwent allo-HSCT for a hematological malignancy between 2001 and 2015, using the European Society for Blood and Marrow Transplantation (EBMT) registry. The stem cell source was either peripheral blood (PB), bone marrow (BM) or umbilical cord blood (UC). They aimed to determine the impact of the donor source on OS, NRM, relapse incidence, progression-free survival (PFS), acute GvHD (aGvHD), chronic GvHD (cGvHD) and GvHD-free relapse-free survival (GRFS).
Epoch
1 (%)
2 (%)
3 (%)
Donor type
MSD
59.5
44.1
34.4
MUD
3.3
24.6
32.7
MMUD
2.3
8.8
8.6
Unrelated, HLA unknown
32.5
15.6
15.2
HD
1.2
2.6
6.3
CD
1.3
4.3
2.8
Cell source
PB
73.7
81.5
84.8
BM
24.4
13.3
12.0
PB and BM
0.6
0.8
0.5
UC
1.3
4.3
2.8
The investigators compared the outcomes between epochs one and two, and two and three. Some of these were statistically significant (p< 0.05), as indicated in Table 2.
Three-year OS:
Three-year NRM:
Estimate (%)
FDR-adjusted Cox p value
n
Epoch 1
(2001-05)
Epoch 2
(2006-10)
Epoch 3
(2011-15)
Epoch 1 vs 2
Epoch 2 vs 3
Three-year OS
106,188
46.3
48.7
50.5
<0.0001
<0.0001
MSD
45,489
51.2
54.0
54.6
0.0005
0.0083
MUD
24,939
46.0
49.1
51.6
0.25
<0.0001
MMUD
7,722
41.4
37.4
41.3
0.34
0.0033
HD
4,174
23.0
34.5
44.2
0.46
0.0033
CD
3,130
37.1
36.3
43.7
0.46
0.0086
Three-year NRM
105,332
27.2
25.3
23.5
<0.0001
<0.0001
MSD
45,094
22.6
19.8
18.1
<0.0001
<0.0001
MUD
24,825
24.4
26.3
24.8
0.081
<0.0001
MMUD
7,685
31.3
36.6
33.4
0.82
0.028
HD
4,142
59.3
39.8
27.3
0.12
0.0033
CD
3,105
38.4
34.1
33.0
0.16
0.15
Three-year relapse incidence
105,332
34.0
33.6
34.1
0.045
0.46
MSD
45,094
34.5
35.6
36.8
0.47
0.44
MUD
24,825
37.1
31.8
31.0
0.45
0.36
MMUD
7,685
35.8
30.6
32.4
0.069
0.33
HD
4,142
21.8
31.6
33.2
0.051
0.87
CD
3,105
30.8
34.7
28.7
0.85
0.0001
Three-year PFS
105,332
38.8
41.0
42.4
<0.0001
<0.0001
MSD
45,094
42.9
44.6
45.0
0.054
0.10
MUD
24,825
38.4
41.9
44.2
0.22
<0.0001
MMUD
7,685
32.9
32.8
34.3
0.24
0.023
HD
4,142
19.0
28.6
39.5
0.82
0.055
CD
3,105
30.7
31.2
38.2
0.44
0.0001
Estimate (%)
FDR-adjusted Cox p value
n
Epoch 1 (2001-05)
Epoch 2 (2006-10)
Epoch 3 (2011-15)
Epoch 1 vs 2
Epoch 2 vs 3
One-year grade ≥ II aGvHD
99,625
27.1
25.0
25.4
<0.01
0.84
MSD
42,525
26.2
22.0
22.3
<0.01
0.84
MUD
23,741
33.0
26.5
27.8
0.51
0.56
MMUD
7,368
34.1
30.9
29.4
<0.01
0.19
HD
3,966
16.4
22.0
25.2
0.21
0.19
CD
2,940
24.6
29.0
33.5
0.33
0.17
One-year grade ≥ III aGvHD
99,625
10.4
9.4
9.7
<0.01
0.68
MSD
42,525
9.7
8.4
8.6
<0.01
0.78
MUD
23,741
13.2
9.1
10.1
0.25
0.82
MMUD
7,368
15.8
13.0
12.0
0.01
0.07
HD
3,966
4.7
8.1
8.9
0.25
0.25
CD
2,940
8.8
11.1
14.8
0.43
0.05
Three-year extensive cGvHD
93,864
14.1
13.9
11.9
0.28
<0.01
MSD
40,160
15.7
16.2
14.2
0.57
<0.01
MUD
22,021
19.5
14.0
12.3
0.72
0.07
MMUD
7,035
12.1
12.5
11.4
<0.01
<0.01
HD
3,856
7.4
7.8
7.2
0.97
0.07
CD
2,912
4.2
5.8
7.7
0.44
0.47
Three-year GRFS
86,408
25.8
27.8
30.7
<0.01
<0.01
MSD
36,492
27.9
28.9
31.1
0.02
<0.01
MUD
20,522
23.3
29.3
32.4
0.46
<0.01
MMUD
6,558
24.3
22.7
24.3
<0.01
<0.01
HD
3,660
14.8
20.6
33.2
0.82
0.02
CD
2,659
21.3
23.6
27.4
0.45
0.02
The authors developed a risk stratification scheme, categorizing patients in low-, intermediate-, and high-risk based on their disease, time from diagnosis, disease status, and cytogenetics. Using MSD as a reference category, the authors also compared outcomes by donor type within the risk categories. Epoch 3 served as the validation cohort, with results of multivariate analysis as below:
OS has improved over time, across all donor types which appears to be driven by a decrease in NRM. The authors hypothesized that this is due to the use of RIC regimens and better supportive care. The biggest reduction in NRM was in patients receiving HD transplant, likely due to the use of post-transplant cyclophosphamide (PTCy) over anti-thymocyte globulin (ATG). PTCy appears to be an effective way to overcome HLA disparities.
In epoch 3 (transplant between 2011 and 2015), 24–33% of patients achieved an optimal outcome, were alive and relapse free without extensive GvHD at three-years post-transplant. Patients categorized as low- or intermediate-risk, who received an MSD transplant, had the lowest hazard for mortality. In high-risk disease though, similar hazards for mortality were observed between recipients of MUD and MSD transplant.
The incidence of cGvHD declined across the epochs, which the authors hypothesized is due to the use of ATG. ATG was used in 75% of HD transplants in epoch 2, whilst PTCy was used in 76% in epoch 3 indicating both are valid strategies to prevent GvHD.
Despite this, GRFS is only achieved by ~30% of patients. Current strategies to increase GRFS include;
The authors concluded that the traditional hierarchy of donors (MSD, MUD and then other donors) remains true. The findings of this analysis may help guide further studies, and lead to the development of an algorithm to aid the selection of the most appropriate donor.
References