Evidence map›Paper›PMID 41876777›Full record

ArticleAnnals of hematology2026

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

Shuainan Wang, Haoyu Zang, Wenjing Du, Laibing Guo, Jingyan Song, Tianyu Qiao, Weiying Gu

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Article in Annals of hematology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Shuainan WangChangzhou Medical Center, Nanjing Medical University, Changzhou, 213003, China.
Haoyu ZangThe First People's Hospital of Changzhou, Soochow University, Changzhou, 213003, China.
Wenjing DuChangzhou Medical Center, Nanjing Medical University, Changzhou, 213003, China.
Laibing GuoThe First People's Hospital of Changzhou, Soochow University, Changzhou, 213003, China.
Jingyan SongThe First People's Hospital of Changzhou, Soochow University, Changzhou, 213003, China.
Tianyu QiaoChangzhou Medical Center, Nanjing Medical University, Changzhou, 213003, China.
Weiying GuChangzhou Medical Center, Nanjing Medical University, Changzhou, 213003, China. guweiying2001@163.com.ORCID http://orcid.org/0000-0003-4913-1610

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Cell Transformation, NeoplasticLeukemia, Myeloid, AcuteMyeloproliferative DisordersNeoplasms, Second PrimarySEER ProgramAdultAgedAged, 80 and overDatabases, FactualFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk FactorsLeukemic transformation riskMPNMPN-sAMLprognostic risk modelSEER

Identifiers

PMID41876777
PMCPMC13013132

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.