Integration of multiparameter flow cytometry score improves prognostic stratification provided by standard models in primary myelofibrosis.

ABSTRACT: Prognostic modeling in myelofibrosis (MF) has classically pursued the integration of informative clinical and hematological parameters to separate patients' categories with different outcomes. Modern stratification includes also genetic data from karyotype and mutations. However, some poorly standardized variables, as peripheral blood (PB) blast count by morphology, are still included. In this study, we used multiparameter flow cytometry (MFC) with the aim of improving performance of existing scores. We studied 363 MF patients with available MFC files for PB CD34+ cells count determination at diagnosis. We adapted Ogata score to MF context including 2 parameters: absolute CD34+ cells count (/μL) and granulocytes to lymphocytes SSC ratio. A score of 1 was attributed to above-threshold value

SUBMITTER: Mannelli F 

PROVIDER: S-EPMC9682857 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature