Related Experiment Video
Updated: Dec 9, 2025

Murine Model of Leukemia Relapse to Induction Chemotherapy for Acute Lymphoblastic Leukemia
Published on: October 17, 2025
Outcomes of patients with relapsed or refractory acute myeloid leukemia: a population-based real-world study
Joseph M Brandwein1, Lalit Saini2, Michelle N Geddes3
1University of Alberta Edmonton, AB, Canada.
Abstract:
With standard therapies for patients with acute myeloid leukemia (AML), many patients either do not achieve complete response (CR) or relapse after CR. There are a scarcity of real-world data on outcomes of unselected patients with relapsed/refractory acute myeloid leukemia (RR-AML). We retrospectively evaluated treatment patterns and survival outcomes of unselected patients aged ≥18 years diagnosed with RR-AML identified from the Alberta Cancer Registry, Alberta, Canada, between January 2013 and December 2016. We included 199 patients who met predefined criteria for RR-AML. Following RR-AML diagnosis, 23% of patients received intensive therapy (IT), 33% non-intensive therapy (NIT), and 44% best supportive care (BSC). The unadjusted median overall survival (OS) of the study cohort was 5.3 months from the time of RR-AML diagnosis, with a 5-year OS rate of 12.6% (95% confidence interval 7.5-21.1). According to treatment intensity after RR-AML, the median OS outcomes were 13.6, 9.4, and 2.0 months for IT, NIT, and BSC groups, respectively (P<0.001). Patients who received treatment (IT or NIT) had better survival than those who received only BSC. This study emphasizes the need for newer therapy options for patients with RR-AML.
More Related Videos
09:57Comprehensive Protocol to Sample and Process Bone Marrow for Measuring Measurable Residual Disease and Leukemic Stem Cells in Acute Myeloid Leukemia
Published on: March 5, 2018
09:01Flow Cytometry to Estimate Leukemia Stem Cells in Primary Acute Myeloid Leukemia and in Patient-derived-xenografts, at Diagnosis and Follow Up
Published on: March 26, 2018
Related Concept Videos
Treatment Resistant Cancers
Cancer Survival Analysis