High-dimensional spectral cytometry identifies follicular regulatory CD8+ T cells in diffuse large B-cell lymphoma

高维光谱细胞术可识别弥漫性大B细胞淋巴瘤中的滤泡调节性CD8+ T细胞

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作者:Alba Díaz Herrero ,Phuong-Ha Le ,Loic Renaud ,Véronique Meignin ,Catherine Thieblemont ,Véronique Blanc ,Vassili Soumelis ,Pierre Tonnerre

Abstract

Objectives: Diffuse large B-cell lymphoma (DLBCL) constitutes 30-40% of non-Hodgkin lymphoma cases. Despite therapeutic advances, persistence of relapsed cases has been linked to the complex tumor microenvironment (TME) and its interactions with lymphoma cells. In particular, characterising T-cell subsets, including rare cell types, and their interplay with the remaining TME is crucial for unravelling DLBCL pathogenesis and refining therapeutic strategies. Methods: Using flow and spectral cytometry with unsupervised analysis, we investigated T-cell subpopulations across DLBCL biopsies and control lymph nodes (LN). We also inferred communication pathways between T cells and other immune cells in the TME based on the correlation of ligand-receptor expression. Results: Our analysis revealed a higher frequency of CD8+ follicular regulatory T (Tfr) cells in DLBCL biopsies compared to control LN. These cells exhibited an effector-memory phenotype (CD45RA- CCR7-), expressed follicular markers (PD-1+ CXCR5+) and had a regulatory profile (CD127- CD25+) along with an activation/co-stimulatory signature (HLA-DR+, ICOS+, CD95+). Correlation analysis highlighted a co-stimulatory interaction between lymphoma B cells and CD8+ Tfr cells through the ICOS/ICOSL pathway, which may contribute to a protumor effect. Validation in independent scRNAseq and flow cytometry datasets confirmed the notable prevalence of CD8+ Tfr cells in DLBCL biopsies. Conclusions: Our study highlights the utility of high-dimensional computational cytometry in elucidating T-cell subpopulations, including an increased frequency of CD8+ follicular regulatory T cells and their communication patterns within the DLBCL TME. This unbiased approach sheds light on novel cellular mechanisms in DLBCL, uncovering potential targets and biomarkers for immunotherapy.

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