Citations

Abstract Description Signal regulatory protein-α (SIRPα) is a key member of the “do-not-eat-me” signaling pathway and is expressed on intratumoral monocytes/macrophages in lymphoma. In this study, we found that SIRPα is also expressed by a subset of malignant B cells in lymphoma. SIRPα+ B cells have a memory phenotype with germinal center (GC) dark-zone features, and RNA velocity analysis showed that SIRPα+ B cells exhibit higher spliced transcripts confirming a more mature phenotype. SIRPα expression is substantially upregulated by treating lymphoma B cells with LPS or CpG and SIRPα+ B cells showed increased proliferation when compared to SIRPα- B cells, which was associated with reduced cellular autophagy. SIRPα+ B cells exhibited increased expression of BAFF signaling pathway molecules as the likely mechanism of increased proliferation and survival. Furthermore, in co-culture, SIRPα+ lymphoma B cells suppressed T-cell function and blocking SIRPa/CD47 signaling reversed T cell inhibition. Clinically, we found that a greater number of SIRPα+ B cells present in the diagnostic tumor biopsies of FL patients was associated with a significantly poorer overall survival. We conclude that SIRPα+ lymphoma B cells are a proliferative component of indolent lymphomas, are associated with T-cell suppression, and increased prevalence of these cells is associated with a poor prognosis. Targeting SIRPα+ B cells in lymphoma may therefore be a promising therapeutic strategy. Topic Categories Tumor Immunology: Cellular Responses and Tumor Microevironment (TIME)

Abstract Description The efficacy of immunotherapy for splenic marginal zone lymphoma (SMZL) remains limited due to the strong immune suppression present in the tumor microenvironment (TME). Tregs play a key role in maintaining TME homeostasis by suppressing effector T cells and malignant B cells. Previously, we identified two Treg subsets CD26+ and CD161+ in SMZL. CD161+ Tregs were more effective at suppressing both CD8+T cells and malignant B cells, whereas CD26+Tregs primarily inhibited CD8+T cells. Patients with higher levels of CD26+ Tregs and fewer CD161+ Tregs tend to have worse outcomes. In this study, we found that cytokine-inducible SH2-containing protein (CISH), a known negative regulator of immune activation, is highly expressed in CD26+Tregs compared to CD161+ Tregs. Co-culturing B cells enhanced the expression of CISH and CD26 in CD4+CD25- Treg cells, knockdown of CISH in Tregs reduced CD26 expression and their immune suppression activity of CD8+T cells, while CRISPR knockout of CISH in Karpas 299 cells led to higher expression CD70, a molecule associated with less immunesuppression. Our findings suggest that increased CISH expression in Tregs could result in increased immune suppression and unfavorable outcome in SMZL, suggesting CISH is a potential therapeutic tagrget in SMZL by dempening immunosuppressive property of the Treg cells hence boosting the antitumor immunity. Topic Categories Tumor Immunology: Cellular Responses and Tumor Microevironment (TIME)

Abstract Twenty percent of patients with follicular lymphoma relapse early with poor outcomes; however, the molecular mechanisms underlying this aggressive behavior are unknown. Using a multiomic approach, we show that patients with follicular lymphoma with elevated IRF4 expression (IRF4hi) have increased transformation risk, dysregulated immune signaling, and a suppressive tumor microenvironment. Loss- and gain-of-function experiments in IRF4hi lymphoma cells, along with chromatin profiling, demonstrate that IRF4 impairs their interaction with T cells by repressing antigen presentation and co-receptor gene modules while promoting the expression of cytokines that antagonize T-follicular helper cell and regulatory T-cell functions. Additionally, IRF4 rewires tumor metabolism and restricts glucose availability to immune cells. Silencing of IRF4 inhibits tumor cell growth and restores immune surveillance mechanisms, thus representing a promising target for therapy. Our data suggest that IRF4hi lymphoma cells co-opt a developmental mechanism used to exit the germinal center response in promoting a more aggressive cancer via engagement of multiple immune-evasive mechanisms. Significance: We show that IRF4 controls immune and metabolic signaling with functional effects on the cross-talk between B and T cells, resulting in a suppressive immune microenvironment when IRF4 is overexpressed in lymphoma. This underscores the importance of IRF4 as a pivotal therapeutic target to restore antitumor immunosurveillance for IRF4-associated lymphomas.

Abstract Single-cell sequencing technologies provide us with information at the level of individual cells. Combining single-cell RNA-seq and single-cell TCR-seq profiling enables the exploration of cell heterogeneity and T-cell receptor repertoires simultaneously. Integrating both types of data can play a crucial role in enhancing our understanding of T-cell-mediated immunity and, in turn, facilitate the advancement of immunotherapy. Here, we present immunopipe, a comprehensive and flexible pipeline to perform integrated analysis of scRNA-seq and scTCR-seq data. In addition to the command line tool, we provide a user-friendly web interface for pipeline configuration and execution monitoring, benefiting researchers without extensive programming experience. With its comprehensive functionality and ease of use, immunopipe empowers researchers to uncover valuable insights from scRNA-seq and scTCR-seq data, ultimately advancing the understanding of immune responses and immunotherapy development.

ABSTRACT The PIM family of serine/threonine kinases (PIM1, PIM2, and PIM3) are involved in the development of cancer and represent promising therapeutic targets. We investigated the therapeutic potential of targeting PIM kinases in diffuse large B‐cell lymphoma (DLBCL), particularly the activated B‐cell‐like (ABC) subtype, using the pan‐PIM inhibitor AZD1208. We demonstrated that PIM1 and PIM2 are more highly expressed in ABC‐ cells than in germinal center B‐cell‐like (GCB) ‐DLBCL cells, and that ABC‐DLBCL cell lines are more sensitive to PIM inhibition with AZD1208. Transcriptome analysis of ABC‐DLBCL cell lines treated with AZD1208 revealed a downregulation of genes involved in NF‐κB signaling, a crucial pathway for ABC‐DLBCL. We also explored synergistic drug combinations using a high‐throughput screen, which identified BCL2 and glutaminase inhibitors as effective partners for AZD1208, particularly in aggressive ABC‐DLBCL and double‐hit cell lines. The combination of AZD1208 with the clinically available BCL2 inhibitor venetoclax was synergistic in most DLBCL cell lines, and this combination induced apoptosis and reduced levels of AKT and MCL1 proteins. In conclusion, our findings suggested that AZD1208, especially when combined with BCL2 inhibitors like venetoclax, holds promise as a treatment strategy for aggressive lymphomas. These combinations may enable lower doses of PIM inhibitors, leading to increased tolerability and improved anti‐tumor activity in clinical settings. The study also highlighted the potential for targeting PIM kinases in combination with other therapies to overcome drug resistance in DLBCL.

Abstract Follicular lymphoma is the most common indolent lymphoma, with a favorable prognosis and survival measured in decades. However, approximately 15% to 20% of patients encounter early disease progression, termed POD24, within 24 months from diagnosis or treatment initiation. Recognizing the correlation between POD24 and a heightened risk of lymphoma-related death has sparked intensive investigations into the clinical and biological determinants of POD24 and the development of innovative treatment strategies targeting this group. Research is also ongoing to understand the varying impact of POD24 based on different clinical contexts and the implications of early histologic transformation on POD24 prognosis. Recent investigations have uncovered potential new predictors of POD24, including genetic and nongenetic alterations as well as some conflicting F-fludeoxyglucose–positron emission tomography characteristics such as maximum standardized uptake value and total metabolic tumor volume. These developments, together with clinical predictors, have led to the emergence of several clinicopathologic tools to help identify at diagnosis patients who may be at higher risk for POD24. As these models are not routinely used, more work is needed to develop new risk-stratification strategies integrating clinical and molecular risk profiling that can be easily implemented in clinical practice to drive therapeutic choice. This review aims to delineate the modest but incremental progress achieved in our understanding of POD24, both clinically and biologically. Furthermore, we offer insights into the best practices to approach POD24 in the current era, aspiring to chart a new path forward to optimize patient outcomes.