1. Next-generation sequencing with a 54-gene panel identified unique mutational profile and prognostic markers in Chinese patients with myelofibrosis.
- Author
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Gill H, Ip HW, Yim R, Tang WF, Pang HH, Lee P, Leung GMK, Li J, Tang K, So JCC, Leung RYY, Li J, Panagioutou G, Lam CCK, and Kwong YL
- Subjects
- Adult, Aged, Aged, 80 and over, Asian People, China epidemiology, DNA Mutational Analysis, Disease-Free Survival, Female, Follow-Up Studies, Humans, Male, Middle Aged, Platelet Count, Sex Factors, Survival Rate, High-Throughput Nucleotide Sequencing, Mutation, Primary Myelofibrosis blood, Primary Myelofibrosis genetics, Primary Myelofibrosis mortality
- Abstract
Current prognostication in myelofibrosis (MF) is based on clinicopathological features and mutations in a limited number of driver genes. The impact of other genetic mutations remains unclear. We evaluated for mutations in a myeloid panel of 54 genes using next-generation sequencing. Multivariate Cox regression analysis was used to determine prognostic factors for overall survival (OS) and leukaemia-free survival (LFS), based on mutations of these genes and relevant clinical and haematological features. One hundred and one patients (primary MF, N = 70; secondary MF, N = 31) with a median follow-up of 49 (1-256) months were studied. For the entire cohort, inferior OS was associated with male gender (P = 0.04), age > 65 years (P = 0.04), haemoglobin < 10 g/dL (P = 0.001), CUX1 mutation (P = 0.003) and TP53 mutation (P = 0.049); and inferior LFS was associated with male gender (P = 0.03), haemoglobin < 10 g/dL (P = 0.04) and SRSF2 mutations (P = 0.008). In primary MF, inferior OS was associated with male gender (P = 0.03), haemoglobin < 10 g/dL (P = 0.002), platelet count < 100 × 10
9 /L (P = 0.02), TET2 mutation (P = 0.01) and CUX1 mutation (P = 0.01); and inferior LFS was associated with haemoglobin < 10 g/dL (P = 0.02), platelet count < 100 × 109 /L (P = 0.02), TET2 mutations (P = 0.01) and CUX1 mutations (P = 0.04). These results showed that clinical and haematological features and genetic mutations should be considered in MF prognostication.- Published
- 2019
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