Effective Prognostic Model for Therapy Response Prediction in Acute Myeloid Leukemia Patients.

ABSTRACT: Acute myeloid leukemia (AML) is a hematopoietic disorder characterized by the malignant transformation of bone marrow-derived myeloid progenitor cells with extremely short survival. To select the optimal treatment options and predict the response to therapy, the stratification of AML patients into risk groups based on genetic factors along with clinical characteristics is carried out. Despite this thorough approach, the therapy response and disease outcome for a particular patient with AML depends on several patient- and tumor-associated factors. Among these, tumor cell resistance to chemotherapeutic agents represents one of the main obstacles for improving survival outcomes in AML patients. In our study, a new prognostic scale for the risk stratification of AML patients based on the detec

SUBMITTER: Kolesnikova MA 

PROVIDER: S-EPMC10455213 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature