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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 10

Single cell transcriptome analysis of BM mononuclear cells in childhood B-ALL and AML.

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Single cell transcriptome analysis of BM mononuclear cells in childhood ...
A total of 24,081 BM mononuclear immune cells from 19 samples (4 healthy donor, 8 AML, and 7 B-ALL) were characterized using single cell mRNA sequencing. (A) Volcano plot of differential gene expression between T cell cluster T1 (naive/stem like enriched in HD) and T cell cluster T2 (effector-like enriched in malignancy). Adjusted P value (p_val_adj) corresponds to Wilcoxon rank-sum test with Bonferroni’s correction. Positive log-fold change (avg_logFC) corresponds to higher expression in T1 relative to T2. (B) Cells in each T/NK cell cluster as a percentage of total T/NK cells by disease state. (C) Distribution of T cells in cluster T1 and T2 in B-ALL patients based on NCI disease risk (standard risk; high risk). (D) Expression of granzyme (GZMA) and perforin (PRF1) in NK cells from healthy donors (HD) and AML patients (AML). *P < 0.01, **P < 0.0001 by Wilcoxon rank-sum test with Bonferroni’s correction. (E) Volcano plot of genes differently regulated between tumor cells from patients with T cells enriched for naive/stem like phenotype (T1 T cells) versus tumor cells from B-ALL patients with BM enriched for terminally differentiated effector T cells or T2 cluster.

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ISSN 2379-3708

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