All content on this site is intended for healthcare professionals only. By acknowledging this message and accessing the information on this website you are confirming that you are a Healthcare Professional. If you are a patient or carer, please visit Know AML.
Introducing
Now you can personalise
your AML Hub experience!
Bookmark content to read later
Select your specific areas of interest
View content recommended for you
Find out moreThe AML Hub website uses a third-party service provided by Google that dynamically translates web content. Translations are machine generated, so may not be an exact or complete translation, and the AML Hub cannot guarantee the accuracy of translated content. The AML Hub and its employees will not be liable for any direct, indirect, or consequential damages (even if foreseeable) resulting from use of the Google Translate feature. For further support with Google Translate, visit Google Translate Help.
The AML Hub is an independent medical education platform, sponsored by Daiichi Sankyo, Jazz Pharmaceuticals, Kura Oncology, Roche and Syndax and has been supported through a grant from Bristol Myers Squibb. The funders are allowed no direct influence on our content. The levels of sponsorship listed are reflective of the amount of funding given. View funders.
Bookmark this article
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.
Your opinion matters
Subscribe to get the best content related to AML delivered to your inbox