Risk factors for leukemic transformation in myeloproliferative neoplasms and prognostic factors in secondary acute myeloid leukemia: an exploratory analysis of the SEER database

To identify risk factors for secondary acute myeloid leukemia (sAML) transformation in myeloproliferative neoplasms (MPN), determine prognostic factors, and construct a reliable prognostic risk model, this study performed a retrospective analysis using the US Surveillance, Epidemiology, and End Results (SEER) database. Multivariable competing risk regression revealed that female (HR = 0.84, P = 0.012), polycythemia vera (PV, HR = 0.29, P < 0.0001) or essential thrombocythemia (ET, HR = 0.26, P < 0.0001) were protective factors against sAML transformation. In contrast, American Indian/Alaska Native/Asian Pacific Islander (AIAN/API) race (HR = 1.31, P = 0.034), household income <$70,000 (HR = 1.21, P = 0.022), chemotherapy history (HR = 1.80, P < 0.0001), and MPN diagnosis during 2011–2022 (HR = 1.29, P = 0.0001) were risk factors for leukemic transformation. Multivariate Cox proportional hazards regression showed that MPN-phase chemotherapy (HR = 1.25, P = 0.002), MPN diagnosis at age 60–75 years (HR = 1.34, P = 0.012), and sAML diagnosis at age ≥ 75 years​ (HR = 1.83, P = 0.001) were independent risk factors for post-progression survival (PPS) in patients with MPN-sAML. while sAML-phase chemotherapy was an independent protective factor (HR = 0.39, P < 0.001). Subgroup analysis revealed heterogeneity in prognostic factors among different sAML subgroups, but the protective effect of sAML-phase chemotherapy was consistently observed across all subgroups. Further multivariable Cox proportional hazards subgroup analysis suggested heterogeneity in the benefit of sAML-phase chemotherapy across age groups (P for interaction = 0.041), with attenuated benefit observed in patients aged 60–75 years (HR = 0.41) and ≥ 75 years (HR = 0.42) compared to younger patients aged 20–60 years (HR = 0.17). The prognostic risk model constructed based on independent prognostic factors and MPN subtypes can effectively stratify patients and provide a reference for risk stratification in patients with MPN-sAML.

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Publication Details

Journal
Annals of Hematology
Published
2026-03-24
DOI
https://doi.org/10.1007/s00277-026-06942-0
Primary Topic
Myeloproliferative Neoplasms: Diagnosis and Treatment
Type
article
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article

Risk factors for leukemic transformation in myeloproliferative neoplasms and prognostic factors in secondary acute myeloid leukemia: an exploratory analysis of the SEER database

Annals of Hematology
Myeloproliferative Neoplasms: Diagnosis and Treatment
article

Risk factors for leukemic transformation in myeloproliferative neoplasms and prognostic factors in secondary acute myeloid leukemia: an exploratory analysis of the SEER database

article en

Abstract

To identify risk factors for secondary acute myeloid leukemia (sAML) transformation in myeloproliferative neoplasms (MPN), determine prognostic factors, and construct a reliable prognostic risk model, this study performed a retrospective analysis using the US Surveillance, Epidemiology, and End Results (SEER) database. Multivariable competing risk regression revealed that female (HR = 0.84, P = 0.012), polycythemia vera (PV, HR = 0.29, P < 0.0001) or essential thrombocythemia (ET, HR = 0.26, P < 0.0001) were protective factors against sAML transformation. In contrast, American Indian/Alaska Native/Asian Pacific Islander (AIAN/API) race (HR = 1.31, P = 0.034), household income <$70,000 (HR = 1.21, P = 0.022), chemotherapy history (HR = 1.80, P < 0.0001), and MPN diagnosis during 2011–2022 (HR = 1.29, P = 0.0001) were risk factors for leukemic transformation. Multivariate Cox proportional hazards regression showed that MPN-phase chemotherapy (HR = 1.25, P = 0.002), MPN diagnosis at age 60–75 years (HR = 1.34, P = 0.012), and sAML diagnosis at age ≥ 75 years​ (HR = 1.83, P = 0.001) were independent risk factors for post-progression survival (PPS) in patients with MPN-sAML. while sAML-phase chemotherapy was an independent protective factor (HR = 0.39, P < 0.001). Subgroup analysis revealed heterogeneity in prognostic factors among different sAML subgroups, but the protective effect of sAML-phase chemotherapy was consistently observed across all subgroups. Further multivariable Cox proportional hazards subgroup analysis suggested heterogeneity in the benefit of sAML-phase chemotherapy across age groups (P for interaction = 0.041), with attenuated benefit observed in patients aged 60–75 years (HR = 0.41) and ≥ 75 years (HR = 0.42) compared to younger patients aged 20–60 years (HR = 0.17). The prognostic risk model constructed based on independent prognostic factors and MPN subtypes can effectively stratify patients and provide a reference for risk stratification in patients with MPN-sAML.

Annals of HematologyVol. 105(4)
Soochow University (CN), The First People's Hospital of Changzhou (CN), Changzhou No.2 People's Hospital (CN), Changzhou University (CN), First Affiliated Hospital of Soochow University (CN)
No poverty
Openalex Percentile: Top 12%
Myeloproliferative Neoplasms: Diagnosis and Treatment
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