Single-cell RNA-seq reveals developmental plasticity with coexisting oncogenic states and immune evasion programs in ETP-ALL

Autor: Jon C. Aster, Noori Sotudeh, Jens G. Lohr, David T. Teachey, Guangwu Guo, Monica S. Nair, Tushara Vijaykumar, Praveen Anand, Huiyoung Yun, Anna Jollyette Rogers, Daniel J. DeAngelo, Yotam Drier, Andrew E. Place, Sayalee Potdar, Julia Frede, Tiffaney Vincent, Andrew A. Lane, Madhu M. Ouseph, Amy Guillaumet-Adkins, Jake A. Kloeber, Randi Isenhart, Lewis B. Silverman, Bradley E. Bernstein, Leili Niu, Marian H. Harris, Birgit Knoechel, Valeriya Dimitrova
Rok vydání: 2021
Předmět:
Zdroj: Blood
ISSN: 1528-0020
0006-4971
DOI: 10.1182/blood.2019004547
Popis: Lineage plasticity and stemness have been invoked as causes of therapy resistance in cancer, because these flexible states allow cancer cells to dedifferentiate and alter their dependencies. We investigated such resistance mechanisms in relapsed/refractory early T-cell progenitor acute lymphoblastic leukemia (ETP-ALL) carrying activating NOTCH1 mutations via full-length single-cell RNA sequencing (scRNA-seq) of malignant and microenvironmental cells. We identified 2 highly distinct stem-like states that critically differed with regard to cell cycle and oncogenic signaling. Fast-cycling stem-like leukemia cells demonstrated Notch activation and were effectively eliminated in patients by Notch inhibition, whereas slow-cycling stem-like cells were Notch independent and rather relied on PI3K signaling, likely explaining the poor efficacy of Notch inhibition in this disease. Remarkably, we found that both stem-like states could differentiate into a more mature leukemia state with prominent immunomodulatory functions, including high expression of the LGALS9 checkpoint molecule. These cells promoted an immunosuppressive leukemia ecosystem with clonal accumulation of dysfunctional CD8+ T cells that expressed HAVCR2, the cognate receptor for LGALS9. Our study identified complex interactions between signaling programs, cellular plasticity, and immune programs that characterize ETP-ALL, illustrating the multidimensionality of tumor heterogeneity. In this scenario, combination therapies targeting diverse oncogenic states and the immune ecosystem seem most promising to successfully eliminate tumor cells that escape treatment through coexisting transcriptional programs.
Databáze: OpenAIRE