Literature DB >> 27311933

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

A Nazha1, M Narkhede1, T Radivoyevitch2, D J Seastone1, B J Patel2, A T Gerds1, S Mukherjee1, M Kalaycio1, A Advani1, B Przychodzen2, H E Carraway1, J P Maciejewski2, M A Sekeres1.   

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, SF3B1 and 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.

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Year:  2016        PMID: 27311933     DOI: 10.1038/leu.2016.138

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


  21 in total

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9.  Driver somatic mutations identify distinct disease entities within myeloid neoplasms with myelodysplasia.

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  47 in total

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5.  Getting personal with myelodysplastic syndromes: is now the right time?

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6.  Impact of mutational variant allele frequency on prognosis in myelodysplastic syndromes.

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Review 7.  Molecular Data and the IPSS-R: How Mutational Burden Can Affect Prognostication in MDS.

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Review 8.  Laying the foundation for genomically-based risk assessment in chronic myeloid leukemia.

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Journal:  Leukemia       Date:  2019-06-17       Impact factor: 11.528

Review 9.  Implications of molecular genetic diversity in myelodysplastic syndromes.

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