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BET inhibition reforms the immune microenvironment and alleviates T cell dysfunction in chronic lymphocytic leukemia
Audrey L. Smith, Sydney A. Skupa, Alexandria P. Eiken, Timothy E. Reznicek, Elizabeth Schmitz, Nolan Williams, Dalia Y. Moore, Christopher R. D’Angelo, Avyakta Kallam, Matthew A. Lunning, R. Gregory Bociek, Julie M. Vose, Eslam Mohamed, Anna R. Mahr, Paul W. Denton, Ben Powell, Gideon Bollag, M. Jordan Rowley, Dalia El-Gamal
Audrey L. Smith, Sydney A. Skupa, Alexandria P. Eiken, Timothy E. Reznicek, Elizabeth Schmitz, Nolan Williams, Dalia Y. Moore, Christopher R. D’Angelo, Avyakta Kallam, Matthew A. Lunning, R. Gregory Bociek, Julie M. Vose, Eslam Mohamed, Anna R. Mahr, Paul W. Denton, Ben Powell, Gideon Bollag, M. Jordan Rowley, Dalia El-Gamal
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Research Article Immunology Oncology

BET inhibition reforms the immune microenvironment and alleviates T cell dysfunction in chronic lymphocytic leukemia

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Abstract

Redundant tumor microenvironment (TME) immunosuppressive mechanisms and epigenetic maintenance of terminal T cell exhaustion greatly hinder functional antitumor immune responses in chronic lymphocytic leukemia (CLL). Bromodomain and extraterminal (BET) proteins regulate key pathways contributing to CLL pathogenesis and TME interactions, including T cell function and differentiation. Herein, we report that blocking BET protein function alleviates immunosuppressive networks in the CLL TME and repairs inherent CLL T cell defects. The pan-BET inhibitor OPN-51107 reduced exhaustion-associated cell signatures resulting in improved T cell proliferation and effector function in the Eμ-TCL1 splenic TME. Following BET inhibition (BET-i), TME T cells coexpressed significantly fewer inhibitory receptors (IRs) (e.g., PD-1, CD160, CD244, LAG3, VISTA). Complementary results were witnessed in primary CLL cultures, wherein OPN-51107 exerted proinflammatory effects on T cells, regardless of leukemic cell burden. BET-i additionally promotes a progenitor T cell phenotype through reduced expression of transcription factors that maintain terminal differentiation and increased expression of TCF-1, at least in part through altered chromatin accessibility. Moreover, direct T cell effects of BET-i were unmatched by common targeted therapies in CLL. This study demonstrates the immunomodulatory action of BET-i on CLL T cells and supports the inclusion of BET inhibitors in the management of CLL to alleviate terminal T cell dysfunction and potentially enhance tumoricidal T cell activity.

Authors

Audrey L. Smith, Sydney A. Skupa, Alexandria P. Eiken, Timothy E. Reznicek, Elizabeth Schmitz, Nolan Williams, Dalia Y. Moore, Christopher R. D’Angelo, Avyakta Kallam, Matthew A. Lunning, R. Gregory Bociek, Julie M. Vose, Eslam Mohamed, Anna R. Mahr, Paul W. Denton, Ben Powell, Gideon Bollag, M. Jordan Rowley, Dalia El-Gamal

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Figure 1

BET inhibition alters the CLL microenvironment immune profile.

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BET inhibition alters the CLL microenvironment immune profile.
(A) Schem...
(A) Schematic of study design. WT B6 mice were engrafted via tail vein injection with lymphocytes derived from heavily diseased Eμ-TCL1 mice. Upon disease onset (≥10% CD45+CD19+CD5+ PBLs), recipient mice were randomly assigned to treatment with OPN-51107 (OPN5) or vehicle equivalent (VEH) for 21 days (n = 3/treatment group). Disease burden in the peripheral blood is shown. (B–E) NanoString PanCaner iO360 target gene expression analysis conducted on splenic tissue from treated mice. (B) NanoString cell type scoring indicating differences in immune cell populations after treatment. TILs, tumor-infiltrating lymphocytes; Exh, exhausted. Unpaired, 2-tailed Mann-Whitney U tests were used to determine significant differences between VEH and OPN5 groups for each cell type. *P < 0.05. (C) Significantly modulated canonical pathways identified by IPA following BET inhibition with OPN5. The direction of Z score is indicated by bar coloring: activated (blue), inhibited (red), no activity pattern available (gray). (D) MSigDB analysis of genes significantly modulated by OPN5 treatment (P < 0.05). Gene set overlap is defined as (the number of significantly modulated genes that fall in a pathway gene set/the total number of genes in that gene set) × 100. (E) Volcano plot of differentially expressed genes following BET inhibitor treatment.

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