Modeling dynamics and alternative treatment strategies in acute promyelocytic leukemia.

ABSTRACT: Acute Promyelocytic Leukemia (APL) is a rare and potentially lethal condition in which risk-based therapy often leads to better outcomes. Because of its rarity and relatively high overall survival rate, prospective randomized trials to investigate alternative APL treatment schedules are challenging. Mathematical models may provide useful information in this regard. We collected clinical data from 38 patients treated for APL under the International Consortium on Acute Leukemia (ICAL) protocol and laboratory data during induction therapy. We propose a mathematical model that represents the dynamics of leukocytes in peripheral blood and the effect of ICAL treatment on the disease's dynamics. We observe that our cohort presents demographic characteristics and clinical outcomes similar to previ

SUBMITTER: Yoshinari GH 

PROVIDER: S-EPMC6695187 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature