[A multivariate model for predicting induction response and prognosis in core binding factor acute myeloid leukemia]

Area of Science:

• Hematology
• Oncology
• Genetics

Background:

• Core binding factor acute myeloid leukemia (CBF-AML) is a subtype of AML characterized by specific chromosomal translocations.
• Understanding prognostic factors is crucial for optimizing treatment strategies in CBF-AML.

Purpose of the Study:

• To evaluate treatment efficacy and identify prognostic factors in CBF-AML.
• To optimize treatment strategies for CBF-AML based on patient characteristics and genetic profiles.

Main Methods:

• Utilized standard cytological, immune methods, and next-generation sequencing (NGS) for risk stratification.
• Assessed complete remission (CR) rates, disease-free survival (DFS), and overall survival (OS) in 206 adult CBF-AML patients (t(8;21) and inv(16)).
• Employed multivariate Logistic and Cox regression models for statistical analysis.

Main Results:

• Patients with inv(16) achieved a significantly higher CR rate (100%) compared to t(8;21) (86.4%).
• High fusion transcript levels and KIT mutations were associated with lower CR rates in t(8;21) patients.
• Negative CD19 expression and female gender independently predicted inferior DFS in t(8;21) patients.

Conclusions:

• inv(16) CBF-AML patients demonstrate superior induction response compared to t(8;21) patients.
• KIT mutations and high fusion transcripts impact CR rates in t(8;21) CBF-AML.
• CD19 negativity and female sex are adverse prognostic markers for DFS in t(8;21) CBF-AML.