Research ArticleCancer

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

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Science Translational Medicine  03 Jun 2020:
Vol. 12, Issue 546, eaaz0463
DOI: 10.1126/scitranslmed.aaz0463

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Informing immunotherapy decisions

Predicting which patients with acute myeloid leukemia (AML) are likely to respond to immunotherapy is currently difficult. To better understand the immune heterogeneous landscape in AML, Vadakekolathu et al. studied gene expression in bone marrow biopsies and clinical outcomes of multiple AML cohorts. They observed variable T cell infiltration and interferon-driven signatures that could be associated with outcomes such as chemotherapy resistance. Matched samples from patients before or after flotetuzumab indicated that an IFN-γ signature could identify patients likely to respond to this therapy. These data lead to a better understanding of the immune environment of AML and could help inform immunotherapy treatment decisions in the future.

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