CD8+ T-cell Differentiation and Dysfunction Inform Treatment Response in Acute Myeloid Leukemia.
Francesco MazziottaLuca BiavatiJoseph Cataquiz RimandoSergio RutellaNicholas BorcherdingSonali ParbhooRupkatha MukhopadhyayHanna A KnausPeter ValentHubert HacklIvan M BorrelloBruce R BlazarKaterina HatziIvana GojoLeo LuznikPublished in: Blood (2024)
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 two distinct terminal end states. One state is enriched for markers of activation, whereas the other expresses NK-like and senescence markers. The skewed clonal differentiation trajectory towards 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 datasets. 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.
Keyphrases
- single cell
- acute myeloid leukemia
- rna seq
- flow cytometry
- nk cells
- oxidative stress
- high throughput
- allogeneic hematopoietic stem cell transplantation
- dna damage
- working memory
- stem cells
- electronic health record
- machine learning
- acute lymphoblastic leukemia
- bone marrow
- deep learning
- combination therapy
- replacement therapy