Unknown

Dataset Information

Immune landscapes predict chemotherapy resistance and immunotherapy response in acute myeloid leukemia.


ABSTRACT: Acute myeloid leukemia (AML) is a molecularly and clinically heterogeneous hematological malignancy. Although immunotherapy may be an attractive modality to exploit in patients with AML, the ability to predict the groups of patients and the types of cancer that will respond to immune targeting remains limited. This study dissected the complexity of the immune architecture of AML at high resolution and assessed its influence on therapeutic response. Using 442 primary bone marrow samples from three independent cohorts of children and adults with AML, we defined immune-infiltrated and immune-depleted disease classes and revealed critical differences in immune gene expression across age groups and molecular disease subtypes. Interferon (IFN)-γ-related mRNA profiles were predictive for both che

SUBMITTER: Vadakekolathu J 

PROVIDER: S-EPMC7427158 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature