Secondary myelofibrosis (SMF) represents a late stage of polycythemia vera (PV) and essential thrombocythemia (ET), with overall survival (OS) currently defined by the myelofibrosis secondary to PV and ET prognostic model (MYSEC-PM). To identify additional myeloid neoplasm–associated cancer gene variants (CGVs) associated with SMF outcome, we evaluated next-generation sequencing panel testing in 644 patients within the MYSEC cohort. Overall, 429 (66.6%) patients reported at least 1 CGV, with ASXL1, TET2, and DNMT3A being the most frequently involved. Specific molecular profiles affected OS (P < .001): U2AF1, TP53, or SRSF2 variants (UTS; 9.3%; median OS, 4.1 years) and ASXL1 without UTS (25.3%; median OS, 8.4 years). By integrating these genetic signatures within the MYSEC-PM through penalized Cox regressions, we identified the following independent predictors (P < .0001 to .02): hemoglobin level <11 g/dL (1 point), circulating blasts ≥3% (2 points), platelet count <150 × 109/L (2 points), age (0.21 points/y), ASXL1 without UTS mutations (1 point), and any UTS mutations (3 points). Finally, we developed the MYSEC-molecular prognostic model (MYSEC-mPM) allocating 582 patients with SMF into 4 categories with different OS (P < .001): low (median OS, 18.0 years; score <14), intermediate-1 (8.8. years; score, 14-16), intermediate-2 (4.6 years; score, 17-18), and high risk (1.9 years; score ≥19). Additionally, in 381 patients with SMF and available cytogenetics, the MYSEC-mPM was implemented with complex/monosomal karyotype, generating the karyotype-enhanced MYSEC-kmPM. Our study shows that genomic and cytogenetic profiling improves survival prediction in SMF, outperforming the MYSEC-PM.

Mora, B., Palandri, F., Guglielmelli, P., Kuykendall, A., Maffioli, M., Iurlo, A., et al. (2026). Genomic profiling for decision-making in post–polycythemia vera and post–essential thrombocythemia myelofibrosis. BLOOD [10.1182/blood.2025031366].

Genomic profiling for decision-making in post–polycythemia vera and post–essential thrombocythemia myelofibrosis

Salmoiraghi S.;Margotto L.;Franchi M.;
2026

Abstract

Secondary myelofibrosis (SMF) represents a late stage of polycythemia vera (PV) and essential thrombocythemia (ET), with overall survival (OS) currently defined by the myelofibrosis secondary to PV and ET prognostic model (MYSEC-PM). To identify additional myeloid neoplasm–associated cancer gene variants (CGVs) associated with SMF outcome, we evaluated next-generation sequencing panel testing in 644 patients within the MYSEC cohort. Overall, 429 (66.6%) patients reported at least 1 CGV, with ASXL1, TET2, and DNMT3A being the most frequently involved. Specific molecular profiles affected OS (P < .001): U2AF1, TP53, or SRSF2 variants (UTS; 9.3%; median OS, 4.1 years) and ASXL1 without UTS (25.3%; median OS, 8.4 years). By integrating these genetic signatures within the MYSEC-PM through penalized Cox regressions, we identified the following independent predictors (P < .0001 to .02): hemoglobin level <11 g/dL (1 point), circulating blasts ≥3% (2 points), platelet count <150 × 109/L (2 points), age (0.21 points/y), ASXL1 without UTS mutations (1 point), and any UTS mutations (3 points). Finally, we developed the MYSEC-molecular prognostic model (MYSEC-mPM) allocating 582 patients with SMF into 4 categories with different OS (P < .001): low (median OS, 18.0 years; score <14), intermediate-1 (8.8. years; score, 14-16), intermediate-2 (4.6 years; score, 17-18), and high risk (1.9 years; score ≥19). Additionally, in 381 patients with SMF and available cytogenetics, the MYSEC-mPM was implemented with complex/monosomal karyotype, generating the karyotype-enhanced MYSEC-kmPM. Our study shows that genomic and cytogenetic profiling improves survival prediction in SMF, outperforming the MYSEC-PM.
Articolo in rivista - Articolo scientifico
Secondary myelofibrosis; Cancer gene variants; Genomic profiling; Cytogenetic profiling
English
5-mar-2026
2026
none
Mora, B., Palandri, F., Guglielmelli, P., Kuykendall, A., Maffioli, M., Iurlo, A., et al. (2026). Genomic profiling for decision-making in post–polycythemia vera and post–essential thrombocythemia myelofibrosis. BLOOD [10.1182/blood.2025031366].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/613866
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