Novel prognostic scoring system for hematopoietic stem cell transplantation in myelodysplastic syndrome and Acute Myeloid Leukemia, myelodysplasia-related

Abstract Background: Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is the only curative option for advanced MDS and AML-MR. Given disease heterogeneity, accurate risk stratification is vital for treatment strategy. Prognostic tools like IPSS-R/M guide pre-transplant decisions but are not optimized for transplant outcomes, especially in adverse-risk cases. We therefore aimed to develop a prognostic scoring system tailored to post-transplant outcomes in MDS and AML-MR. Methods: We retrospectively analyzed patients with MDS or AML-MR who underwent first single-unit CBT at our institution from 2010 to 2024, excluding MDS/MPN or MPN, secondary AML from these entities, or PS ≥3. Primary endpoint was relapse-free survival (RFS); secondary endpoints included overall survival (OS), cumulative incidence of relapse (CIR), and non-relapse mortality (NRM). Chromosomal abnormalities of ≥5% prevalence and clinical relevance were evaluated to build a new cytogenetic score, which was then combined with clinical variables in multivariate Cox models for RFS to create a novel prognostic system. Model viability was assessed by time-dependent ROC and Harrell's C-index, with ad hoc analyses for transplant outcomes. Results: A total of 402 patients were analyzed, with a median age of 62 (19–77); 70.9% were male, and median follow-up was 1,467 days. AML transformation was present in 69.9%, and 79.1% were in non-remission status (nonCR). Cytogenetic risk by IPSS-R was Good (29.6%), Intermediate (29.4%), Poor (9.7%), and Very Poor (30.8%), with monosomal and complex karyotypes (≥3) in 30.0% and 35.1%. Three-year RFS and OS were 36.4% and 38.6%; CIR and NRM were 20.0% and 43.5%. Multivariate analysis identified male sex, pre-2017 HSCT, and IPSS-R cytogenetic risk ≥Poor as independent predictors for RFS, with same results for OS. CIR was linked to platelet transfusion dependency, AML transformation, and adverse cytogenetics, while NRM related to pre-2017 HSCT and HCT-CI≥3. NRM decreased by 10.9% after 2018, leading to improved RFS. Common chromosomal lesions included -7 (20.3%), +8 (16.3%), del(5q) (11.3%), -5 (10%), -17 (10%), del(20q) (7%), and other monosomies (25.3%; defined as the existence of monosomies excluding -5, -7, -17). CIR increased stepwise with abnormality count (HR: 2.82, 3.89, 4.59, 6.79 for 1, 2, 3, and >3 vs. normal karyotype). Multivariate analysis yielded lesion-specific HRs, which were translated into weighted points (-7:3pt, -5:2pt, -17/del(5q)/other monosomies:1pt, +8:0pt, del(20q):-1pt). These were added to points assigned for abnormality count (1:1pt, 2:1.5pt, 3:2pt, >3:3pt) to form an additive cytogenetic score, which classifies patients as Good (≤0.5), Intermediate (1.0–1.5), Poor (2.0–3.5), Very Poor (4.0–5.5), or Worst (≥6). By IPSS-R cytogenetic risk, 5-year CIR were 6.1%, 16.9%, 33.0%, and 35.1% from Good to Very Poor, showing limited separation in high-risk groups. In contrast, our score stratified 5-year CIR as 5.6%, 14.9%, 23.9%, 34.9%, and 41.1% from Good to Worst, demonstrating clearer separation. Time-dependent ROC analysis confirmed its predictive validity, with 5-year AUC of 0.77 (vs. 0.74 for IPSS-R). In multivariate Cox analysis including this score, it independently predicted RFS (HR 1.20 per point, p<0.01) along with male sex (HR 1.38, p=0.03); age≥60, HCT-CI≥3, PS≥1, AML transformation, and nonCR showed adverse trends (HRs 1.24–1.54, p=0.05–0.18). We then developed a composite prognostic score (our new cytogenetic risk group: 0–4pts + 1pt each for age≥60, male sex, HCT-CI≥3, PS≥1, AML transformation, nonCR), which classifies patients as Good (≤2), Intermediate (3–4), Poor (5–7), or Worst (≥8) groups, comprising 22, 101, 196 and 80 patients, respectively. This new score significantly stratified transplant outcomes in ad hoc anlayses: 3-year RFS was 70.9%, 56.1%, 31.2%, and 16.5% (p<0.01), and OS showed similar trends (p<0.01). CIR remained low in Good/Intermediate (5.5%, 6.1%), but rose in Poor/Worst (20.5%, 41.3%; p<0.01). NRM increased from Good to Poor (23.6-48.3%, p<0.01) but was slightly lower in Worst (42.2%), reflecting early relapses. Harrell's C-index for RFS was 0.608, confirming the score's discriminatory ability. Conclusion: We established a novel cytogenetic score and integrated transplantation-specific prognostic model for MDS/AML-MR. This score provides a robust framework for risk stratification, facilitating individualized decisions regarding pre- and post-transplant treatment strategies.

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Journal
Blood
Published
2025-11-03
DOI
https://doi.org/10.1182/blood-2025-7829
Primary Topic
Acute Myeloid Leukemia Research
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article

Novel prognostic scoring system for hematopoietic stem cell transplantation in myelodysplastic syndrome and Acute Myeloid Leukemia, myelodysplasia-related

Blood
Acute Myeloid Leukemia Research
article

Novel prognostic scoring system for hematopoietic stem cell transplantation in myelodysplastic syndrome and Acute Myeloid Leukemia, myelodysplasia-related

article en

Abstract

Abstract Background: Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is the only curative option for advanced MDS and AML-MR. Given disease heterogeneity, accurate risk stratification is vital for treatment strategy. Prognostic tools like IPSS-R/M guide pre-transplant decisions but are not optimized for transplant outcomes, especially in adverse-risk cases. We therefore aimed to develop a prognostic scoring system tailored to post-transplant outcomes in MDS and AML-MR. Methods: We retrospectively analyzed patients with MDS or AML-MR who underwent first single-unit CBT at our institution from 2010 to 2024, excluding MDS/MPN or MPN, secondary AML from these entities, or PS ≥3. Primary endpoint was relapse-free survival (RFS); secondary endpoints included overall survival (OS), cumulative incidence of relapse (CIR), and non-relapse mortality (NRM). Chromosomal abnormalities of ≥5% prevalence and clinical relevance were evaluated to build a new cytogenetic score, which was then combined with clinical variables in multivariate Cox models for RFS to create a novel prognostic system. Model viability was assessed by time-dependent ROC and Harrell's C-index, with ad hoc analyses for transplant outcomes. Results: A total of 402 patients were analyzed, with a median age of 62 (19–77); 70.9% were male, and median follow-up was 1,467 days. AML transformation was present in 69.9%, and 79.1% were in non-remission status (nonCR). Cytogenetic risk by IPSS-R was Good (29.6%), Intermediate (29.4%), Poor (9.7%), and Very Poor (30.8%), with monosomal and complex karyotypes (≥3) in 30.0% and 35.1%. Three-year RFS and OS were 36.4% and 38.6%; CIR and NRM were 20.0% and 43.5%. Multivariate analysis identified male sex, pre-2017 HSCT, and IPSS-R cytogenetic risk ≥Poor as independent predictors for RFS, with same results for OS. CIR was linked to platelet transfusion dependency, AML transformation, and adverse cytogenetics, while NRM related to pre-2017 HSCT and HCT-CI≥3. NRM decreased by 10.9% after 2018, leading to improved RFS. Common chromosomal lesions included -7 (20.3%), +8 (16.3%), del(5q) (11.3%), -5 (10%), -17 (10%), del(20q) (7%), and other monosomies (25.3%; defined as the existence of monosomies excluding -5, -7, -17). CIR increased stepwise with abnormality count (HR: 2.82, 3.89, 4.59, 6.79 for 1, 2, 3, and >3 vs. normal karyotype). Multivariate analysis yielded lesion-specific HRs, which were translated into weighted points (-7:3pt, -5:2pt, -17/del(5q)/other monosomies:1pt, +8:0pt, del(20q):-1pt). These were added to points assigned for abnormality count (1:1pt, 2:1.5pt, 3:2pt, >3:3pt) to form an additive cytogenetic score, which classifies patients as Good (≤0.5), Intermediate (1.0–1.5), Poor (2.0–3.5), Very Poor (4.0–5.5), or Worst (≥6). By IPSS-R cytogenetic risk, 5-year CIR were 6.1%, 16.9%, 33.0%, and 35.1% from Good to Very Poor, showing limited separation in high-risk groups. In contrast, our score stratified 5-year CIR as 5.6%, 14.9%, 23.9%, 34.9%, and 41.1% from Good to Worst, demonstrating clearer separation. Time-dependent ROC analysis confirmed its predictive validity, with 5-year AUC of 0.77 (vs. 0.74 for IPSS-R). In multivariate Cox analysis including this score, it independently predicted RFS (HR 1.20 per point, p<0.01) along with male sex (HR 1.38, p=0.03); age≥60, HCT-CI≥3, PS≥1, AML transformation, and nonCR showed adverse trends (HRs 1.24–1.54, p=0.05–0.18). We then developed a composite prognostic score (our new cytogenetic risk group: 0–4pts + 1pt each for age≥60, male sex, HCT-CI≥3, PS≥1, AML transformation, nonCR), which classifies patients as Good (≤2), Intermediate (3–4), Poor (5–7), or Worst (≥8) groups, comprising 22, 101, 196 and 80 patients, respectively. This new score significantly stratified transplant outcomes in ad hoc anlayses: 3-year RFS was 70.9%, 56.1%, 31.2%, and 16.5% (p<0.01), and OS showed similar trends (p<0.01). CIR remained low in Good/Intermediate (5.5%, 6.1%), but rose in Poor/Worst (20.5%, 41.3%; p<0.01). NRM increased from Good to Poor (23.6-48.3%, p<0.01) but was slightly lower in Worst (42.2%), reflecting early relapses. Harrell's C-index for RFS was 0.608, confirming the score's discriminatory ability. Conclusion: We established a novel cytogenetic score and integrated transplantation-specific prognostic model for MDS/AML-MR. This score provides a robust framework for risk stratification, facilitating individualized decisions regarding pre- and post-transplant treatment strategies.

BloodVol. 146(Supplement 1)
Institute for Transfusion Medicine (US), Kawasaki Hospital (JP), Okinaka Memorial Adult Disease Research Institute (JP), The Japanese Data Center for Hematopoietic Cell Transplantation (JP), Sanno Medical Center (JP)
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Openalex Percentile: Top 29%
Acute Myeloid Leukemia Research
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