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Incorporation mutational profile might reduce the importance of blast count in prognostication of low-risk myelodysplastic syndromes.

Marta García-CulebrasPatricia AlcaldeFrancisco J Márquez-MalaverEstrella CarrilloElena SoriaConcepción Prats-MartínRosario M Morales-CamachoMaría T VargasJose Antonio Pérez-SimónJose F Falantes
Published in: British journal of haematology (2024)
Addition of molecular data to prognostic models has improved risk stratification of myelodysplastic neoplasms (MDS). However, the role of molecular lesions, particularly in the group of low-risk disease (LR-MDS), is uncertain. We evaluated a set of 227 patients with LR-MDS. Overall survival (OS) and probability of leukaemic progression were the main endpoints. RUNX1 was associated with lower OS and SF3B1 with a reduced risk of death (HR: 1.7, 95% CI, 1.1-2.9; p = 0.05; and HR: 0.23, 95% CI 0.1-0.5; p < 0.001; respectively). TP53 and RUNX1 mutations were predictive covariates for the probability of leukaemic progression (p < 0.001). Blast percentage, neither analysed as categorical (<5% vs. 5%-9%; HR: 1.3, 95% CI, 0.7-2.9; p = 0.2) nor as a continuous variable (HR: 1.07, 95% CI, 0.9-1.1; p = 0.07), had impact on survival or probability of progression (sHR: 1.05, 95% CI, 0.9-1.1; p = 0.2). These results retained statistical significance when analysis was restricted to the definition of LR-MDS according to the WHO 2022 and ICC classifications (<5% blasts). Thus, with the incorporation of molecular data, blast percentage happens to lose clinical significance both for survival and probability of progression in the group of patients with LR-MDS.
Keyphrases
  • transcription factor
  • electronic health record
  • acute myeloid leukemia
  • free survival
  • big data
  • bone marrow
  • data analysis