Daiki Karigane, Amy C Fan, Toshinobu Nishimura, Kensuke Kayamori, Yusuke Nakauchi, Thomas Köhnke, Athreya Rangavajhula, Asiri Ediriwickrema, Brooks A Benard, Rozario Thomas, Feifei Zhao, Melissa Stafford, Fabian P Suchy, Jonas L Fowler, Mark P Chao, Tian Yi Zhang, Kyle M Loh, Hiromitsu Nakauchi, Ravindra Majeti
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引用次数: 0
Abstract
Intratumoral heterogeneity can affect the competitive fitness and chemoresistance of individual cancer cells. In acute myeloid leukemia (AML), both genetic and functional heterogeneity contribute to chemoresistance, resulting in relapse. Whereas the role of cell-extrinsic factors has been described for AML relapse, whether interactions between cancer cells affect chemoresistance is not fully known. In this study, we demonstrated that a dominant leukemic fraction can suppress the proliferation and expansion of other leukemic cells and that this suppression is reversible. This suppression is mediated in part by both type I and type II intra-leukemic interferon signaling and dependent on BST2. Importantly, blocking antibodies to type II interferon receptor activated the cycling of this suppressed cell fraction and sensitized the cells to subsequent chemotherapy treatment. Our findings suggest that interactions between functionally heterogeneous leukemic fractions can affect competitive fitness and treatment response, highlighting interferon signaling as a potential therapeutic target to counter chemoresistance.
Significance: AML presents a significant challenge in clinical management due to its poor prognosis and high rates of relapse following chemotherapy. Using multiple models of primary human AML, we demonstrate that competitive interactions between leukemia cells affect clonal dynamics and therapy resistance, thereby identifying a potential strategy to improve patient outcomes. See related commentary by Papaioannou and Aifantis, p. 18.
期刊介绍:
The journal Blood Cancer Discovery publishes high-quality Research Articles and Briefs that focus on major advances in basic, translational, and clinical research of leukemia, lymphoma, myeloma, and associated diseases. The topics covered include molecular and cellular features of pathogenesis, therapy response and relapse, transcriptional circuits, stem cells, differentiation, microenvironment, metabolism, immunity, mutagenesis, and clonal evolution. These subjects are investigated in both animal disease models and high-dimensional clinical data landscapes.
The journal also welcomes submissions on new pharmacological, biological, and living cell therapies, as well as new diagnostic tools. They are interested in prognostic, diagnostic, and pharmacodynamic biomarkers, and computational and machine learning approaches to personalized medicine. The scope of submissions ranges from preclinical proof of concept to clinical trials and real-world evidence.
Blood Cancer Discovery serves as a forum for diverse ideas that shape future research directions in hematooncology. In addition to Research Articles and Briefs, the journal also publishes Reviews, Perspectives, and Commentaries on topics of broad interest in the field.