1. Predicting survival in patients with myelodysplastic/myeloproliferative neoplasms with SF3B1 mutation and thrombocytosis.
- Author
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Li F, Qin T, Li B, Qu S, Pan L, Zhang P, Sun Q, Cai W, Gao Q, Jiao M, Li J, Ai X, Ma J, Gale RP, Xu Z, and Xiao Z
- Subjects
- Adult, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Follow-Up Studies, Myelodysplastic Syndromes genetics, Myelodysplastic Syndromes mortality, Myelodysplastic Syndromes pathology, Prognosis, Serine-Arginine Splicing Factors genetics, Survival Rate, Nuclear Proteins metabolism, Mutation, Myelodysplastic-Myeloproliferative Diseases genetics, Myelodysplastic-Myeloproliferative Diseases mortality, Myelodysplastic-Myeloproliferative Diseases pathology, Phosphoproteins genetics, RNA Splicing Factors genetics, Thrombocytosis genetics
- Abstract
We investigated data from 180 consecutive patients with myelodysplastic/myeloproliferative neoplasms with SF3B1 mutation and thrombocytosis (MDS/MPN-SF3B1-T) who were diagnosed according to the 2022 World Health Organization (WHO) classification of myeloid neoplasms to identify covariates associated with survival. At a median follow-up of 48 months (95% confidence interval [CI] 35-61 months), the median survival was 69 months (95% CI 59-79 months). Patients with bone marrow ring sideroblasts (RS) < 15% had shorter median overall survival (OS) than did those with bone marrow RS ≥ 15% (41 months [95% CI 32-50 months] versus 76 months [95% CI 59-93 months]; P < 0.001). According to the univariable analyses of OS, age ≥ 65 years (P < 0.001), hemoglobin concentration (Hb) < 80 g/L (P = 0.090), platelet count (PLT) ≥ 800 × 10E + 9/L (P = 0.087), bone marrow RS < 15% (P < 0.001), the Revised International Prognostic Scoring System (IPSS-R) cytogenetic category intermediate/poor/very poor (P = 0.005), SETBP1 mutation (P = 0.061) and SRSF2 mutation (P < 0.001) were associated with poor survival. Based on variables selected from univariable analyses, two separate survival prediction models, a clinical survival model, and a clinical-molecular survival model, were developed using multivariable analyses with the minimum value of the Akaike information criterion (AIC) to specifically predict outcomes in patients with MDS/MPN-SF3B1-T according to the 2022 WHO classification., (© 2024. The Author(s).)
- Published
- 2024
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