Classification and Personalized Prognosis in Myeloproliferative Neoplasms.

ABSTRACT:

Background

Myeloproliferative neoplasms, such as polycythemia vera, essential thrombocythemia, and myelofibrosis, are chronic hematologic cancers with varied progression rates. The genomic characterization of patients with myeloproliferative neoplasms offers the potential for personalized diagnosis, risk stratification, and treatment.

Methods

We sequenced coding exons from 69 myeloid cancer genes in patients with myeloproliferative neoplasms, comprehensively annotating driver mutations and copy-number changes. We developed a genomic classification for myeloproliferative neoplasms and multistage prognostic models for predicting outcomes in individual patients. Classification and prognostic models were validated in an external cohort.

Results

A total of 2035 patients we

SUBMITTER: Grinfeld J 

PROVIDER: S-EPMC7030948 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature