CD8+ T-cell differentiation and dysfunction inform treatment response in acute myeloid leukemia

Author:

Mazziotta Francesco12ORCID,Biavati Luca12ORCID,Rimando Joseph12,Rutella Sergio3ORCID,Borcherding Nicholas4,Parbhoo Sonali5,Mukhopadhyay Rupkatha12,Chowdhury Sayan12,Knaus Hanna A.6ORCID,Valent Peter67ORCID,Hackl Hubert8ORCID,Borrello Ivan M.12ORCID,Blazar Bruce R.9ORCID,Hatzi Katerina10ORCID,Gojo Ivana12,Luznik Leo12

Affiliation:

1. 1Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD

2. 2Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD

3. 3John van Geest Cancer Research Centre, Nottingham Trent University, Nottingham, United Kingdom

4. 4Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO

5. 5School of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom

6. 6Division of Hematology and Hemostaseology, Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria

7. 7Ludwig Boltzmann Institute for Hematology and Oncology, Medical University of Vienna, Vienna, Austria

8. 8Division of Bioinformatics, Biocenter, Medical University of Innsbruck, Innsbruck, Austria

9. 9Division of Blood & Marrow Transplant and Cellular Therapy, Masonic Cancer Center and Department of Pediatrics, University of Minnesota, Minneapolis, MN

10. 10Genentech, Inc, South San Francisco, CA

Abstract

Abstract The interplay between T-cell states of differentiation, dysfunction, and treatment response in acute myeloid leukemia (AML) remains unclear. Here, we leveraged a multimodal approach encompassing high-dimensional flow cytometry and single-cell transcriptomics and found that early memory CD8+ T cells are associated with therapy response and exhibit a bifurcation into 2 distinct terminal end states. One state is enriched for markers of activation, whereas the other expresses natural killer (NK)-like and senescence markers. The skewed clonal differentiation trajectory toward CD8+ senescence was also a hallmark indicative of therapy resistance. We validated these findings by generating an AML CD8+ single-cell atlas integrating our data and other independent data sets. Finally, our analysis revealed that an imbalance between CD8+ early memory and senescent-like cells is linked to AML treatment refractoriness and poor survival. Our study provides crucial insights into the dynamics of CD8+ T-cell differentiation and advances our understanding of CD8+ T-cell dysfunction in AML.

Publisher

American Society of Hematology

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