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Incorporation of molecular data into the Revised International Prognostic Scoring System in treated patients with myelodysplastic syndromes

Authors :
Nazha, A
Narkhede, M
Radivoyevitch, T
Seastone, D J
Patel, B J
Gerds, A T
Mukherjee, S
Kalaycio, M
Advani, A
Przychodzen, B
Carraway, H E
Maciejewski, J P
Sekeres, M A
Source :
Leukemia; November 2016, Vol. 30 Issue: 11 p2214-2220, 7p
Publication Year :
2016

Abstract

The Revised International Prognostic Scoring System (IPSS-R) was developed for untreated myelodysplastic syndrome (MDS) patients based on clinical data. We created and validated a new model that incorporates mutational data to improve the predictive capacity of the IPSS-R in treated MDS patients. Clinical and mutational data from treated MDS patients diagnosed between January 2000 and January 2012 were used to develop the new prognostic system. A total of 508 patients were divided into training (n=333) and validation (n=175) cohorts. Independent significant prognostic factors for survival included age, IPSS-R, EZH2, SF3B1and TP53. Weighted coefficients for each factor were used to build the new linear predictive model, which produced four prognostic groups: low, intermediate-1, intermediate-2 and high with a median overall survival of 37.4, 23.2, 19.9 and 12.2 months, respectively, P<0.001. Significant improvement in the C-index of the new model (0.73) was observed compared with the IPSS-R (0.69). The new model predicted outcome both in a separate validation cohort and in another cohort of patients with paired samples at different time points during their disease course. The addition of mutational data to the IPSS-R makes it dynamic and enhances its predictive ability in treated MDS patients regardless of their initial or subsequent therapies.

Details

Language :
English
ISSN :
08876924 and 14765551
Volume :
30
Issue :
11
Database :
Supplemental Index
Journal :
Leukemia
Publication Type :
Periodical
Accession number :
ejs40341001
Full Text :
https://doi.org/10.1038/leu.2016.138