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Risk-associated alterations in marrow T cells in pediatric leukemia
Jithendra Kini Bailur, Samuel S. McCachren, Katherine Pendleton, Juan C. Vasquez, Hong Seo Lim, Alyssa Duffy, Deon B. Doxie, Akhilesh Kaushal, Connor Foster, Deborah DeRyckere, Sharon Castellino, Melissa L. Kemp, Peng Qiu, Madhav V. Dhodapkar, Kavita M. Dhodapkar
Jithendra Kini Bailur, Samuel S. McCachren, Katherine Pendleton, Juan C. Vasquez, Hong Seo Lim, Alyssa Duffy, Deon B. Doxie, Akhilesh Kaushal, Connor Foster, Deborah DeRyckere, Sharon Castellino, Melissa L. Kemp, Peng Qiu, Madhav V. Dhodapkar, Kavita M. Dhodapkar
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Research Article Immunology

Risk-associated alterations in marrow T cells in pediatric leukemia

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Abstract

Current management of childhood leukemia is tailored based on disease risk determined by clinical features at presentation. Whether properties of the host immune response impact disease risk and outcome is not known. Here, we combine mass cytometry, single cell genomics, and functional studies to characterize the BM immune environment in children with B cell acute lymphoblastic leukemia and acute myelogenous leukemia at presentation. T cells in leukemia marrow demonstrate evidence of chronic immune activation and exhaustion/dysfunction, with attrition of naive T cells and TCF1+ stem-like memory T cells and accumulation of terminally differentiated effector T cells. Marrow-infiltrating NK cells also exhibit evidence of dysfunction, particularly in myeloid leukemia. Properties of immune cells identified distinct immune phenotype–based clusters correlating with disease risk in acute lymphoblastic leukemia. High-risk immune signatures were associated with expression of stem-like genes on tumor cells. These data provide a comprehensive assessment of the immune landscape of childhood leukemias and identify targets potentially amenable to therapeutic intervention. These studies also suggest that properties of the host response with depletion of naive T cells and accumulation of terminal-effector T cells may contribute to the biologic basis of disease risk. Properties of immune microenvironment identified here may also impact optimal application of immune therapies, including T cell–redirection approaches in childhood leukemia.

Authors

Jithendra Kini Bailur, Samuel S. McCachren, Katherine Pendleton, Juan C. Vasquez, Hong Seo Lim, Alyssa Duffy, Deon B. Doxie, Akhilesh Kaushal, Connor Foster, Deborah DeRyckere, Sharon Castellino, Melissa L. Kemp, Peng Qiu, Madhav V. Dhodapkar, Kavita M. Dhodapkar

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Figure 5

Immune correlates of clinical disease risk in B-ALL.

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Immune correlates of clinical disease risk in B-ALL.
BMMNCs from patient...
BMMNCs from patients with standard-risk (n = 22) and high-risk (n = 16) B-ALL were characterized using single cell mass cytometry. (A) Distribution of CD4+ and CD8+ T cells by risk status. (B) Frequency of naive, central memory (TCM), effector memory (TEM), and terminal effector (TERM Eff) CD8+ T cells by risk status. (C) viSNE density plots for patient groups (standard risk, n = 17; high risk, n = 9) visualized by concatenating FCS files for patients within each risk group. (D) viSNE plots showing expression of CD4, CD8, CCR7, CD45RO, T-bet, granzyme (GZM), and CD57 from a representative patient. (E) Expression of T-bet in memory CD4+ and CD8+ T cells from B-ALL patients with standard-risk or high-risk disease. All graphs show mean ± SEM. *P < 0.05, **P < 0.01 by Mann-Whitney U test.

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