130 patients who were unsuitable for conventional-intensity conditioning underwent RI-HSCT after 100 mg/m2 melphalan (+ 50 mg/kg cyclophosphamide if no prior autograft). GVHD prophylaxis comprised cyclosporine (HLA-matched siblings) or tacrolimus (all others) and MMF.

Table 1: Patient characteristics

Age (y)19–71 (median 55)
Male 55% 
Refractory disease 57% 
ECOG performance status 0 34% 
 1 48% 
 2 14% 
 3 4% 
Diagnosis Lymphoma 42% 
 Leukemia 36% 
 Myeloma 22% 
Donor Matched sibling 49% 
 Mismatched sibling 2% 
 Matched unrelated 33% 
 Mismatched unrelated 15% 
Donor age (y) 21–71 (median 44; 45% >45) 
Male donor 65% 
Prior autograft 45% 
Age (y)19–71 (median 55)
Male 55% 
Refractory disease 57% 
ECOG performance status 0 34% 
 1 48% 
 2 14% 
 3 4% 
Diagnosis Lymphoma 42% 
 Leukemia 36% 
 Myeloma 22% 
Donor Matched sibling 49% 
 Mismatched sibling 2% 
 Matched unrelated 33% 
 Mismatched unrelated 15% 
Donor age (y) 21–71 (median 44; 45% >45) 
Male donor 65% 
Prior autograft 45% 

Refractory disease, HLA mismatch, donor age >45, elevated creatinine, low DLCO, thrombocytopenia, male donor, poor performance status, and low albumin affected OS adversely in univariate analysis. The following factors affected outcome independently:

Table 2: Cox analysis

Adverse variableRelative riskP
TRM   
HLA mismatch 4.78 0.0003 
Performance status 2–3 3.07 0.044 
Relapse   
Donor age >45 y 2.0 0.012 
Male donor 1.98 0.026 
Refractory disease 1.84 0.05 
EFS   
Performance status 2–3 0.48 0.022 
HLA mismatch 0.53 0.023 
Refractory disease 0.55 0.016 
Male donor 0.61 0.039 
Donor age >45 y 0.63 0.034 
OS   
Performance status 2–3 0.44 0.025 
HLA mismatch 0.31 0.0001 
Refractory disease 0.49 0.007 
Donor age >45 y 0.55 0.012 
High LDH 0.53 0.007 
Platelets <100 0.58 0.021 
Adverse variableRelative riskP
TRM   
HLA mismatch 4.78 0.0003 
Performance status 2–3 3.07 0.044 
Relapse   
Donor age >45 y 2.0 0.012 
Male donor 1.98 0.026 
Refractory disease 1.84 0.05 
EFS   
Performance status 2–3 0.48 0.022 
HLA mismatch 0.53 0.023 
Refractory disease 0.55 0.016 
Male donor 0.61 0.039 
Donor age >45 y 0.63 0.034 
OS   
Performance status 2–3 0.44 0.025 
HLA mismatch 0.31 0.0001 
Refractory disease 0.49 0.007 
Donor age >45 y 0.55 0.012 
High LDH 0.53 0.007 
Platelets <100 0.58 0.021 

These prognostic factors were similar to those found on studying the first 63 patients in this series (Mehta et al. Bone Marrow Transplant 2006) –with the additional emergence of HLA mismatch and thrombocytopenia which were significant in univariate but not multivariate analysis then.

These data suggest that RI-HSCT is useful for some patients with hematologic malignancies who are ineligible for conventional-intensity HSCT. However, alternative HSCT techniques or non-HSCT options are needed for high-risk patients.

Figure 1

shows the effect of the number of adverse prognostic factors on the cumulative incidence of relapse and transplant-related mortality.

Figure 1

shows the effect of the number of adverse prognostic factors on the cumulative incidence of relapse and transplant-related mortality.

Close modal
Figure 2

shows the effect of the number of adverse prognostic factors on survival.

Figure 2

shows the effect of the number of adverse prognostic factors on survival.

Close modal

Disclosures: No relevant conflicts of interest to declare.

Author notes

Corresponding author

Sign in via your Institution