ABSTRACT
PURPOSE: TIGIT blockade in our ex vivo models of bone marrow (BM) reduced the number of malignant plasma cells (PCs) in only half of patients with multiple myeloma (MM). Here we wanted to investigate whether increased expression of TIGIT ligands may inhibit T cell immune response promoting resistance to TIGIT blockade. EXPERIMENTAL DESIGN: We first characterized the number and phenotype of BM macrophages in the different stages of disease by multi-parameter flow cytometry. We assessed the effect of TIGIT ligands on PC survival performing experiments with ex vivo BM model and analyzed changes in gene expression by using Nanostring technology and real-time PCR. RESULTS: Frequency of BM macrophages was significantly decreased in MM which was accompanied by changes in their immunophenotype. Moreover, we found a higher number of malignant PCs in ex vivo BM cells cultured onto PVR and nectin-2 compared to control, suggesting that both ligands may support PC survival. In addition, presence of PVR, but not nectin-2, overcame the therapeutic effect of TIGIT blockade or exogenous IL-2. Furthermore, presence of exogenous IL-2 increased TIGIT expression on both CD4+ and CD8+ T cells and, indirectly, PVR on BM macrophages. Consistently, PVR reduced the number of cytotoxic T cells and promoted a gene signature with reduced effector molecules. CONCLUSIONS: IL-2 induced TIGIT on T cells in the BM where increased PVR expression resulted in cytotoxic T cell inhibition promoting PC survival and resistance to TIGIT blockade.
ABSTRACT
Waldenström macroglobulinaemia (WM) is characterized by recurrent somatic mutations in MYD88 and CXCR4 genes. However, limitations arise when analysing these mutations in IgM monoclonal gammopathy of undetermined significance (MGUS) or smouldering WM (SWM) given the lower tumour load. Here, we used droplet digital polymerase chain reaction (ddPCR) to analyse MYD88 L265P and CXCR4 S338* mutations (C1013G and C1013A) in unsorted bone marrow (BM) or cell-free DNA (cfDNA) samples from 101 IgM MGUS and 69 SWM patients. ddPCR was more sensitive to assess MYD88 L265P compared to allele-specific PCR, especially in IgM MGUS (64% vs 39%). MYD88 mutation burden correlated with other laboratory biomarkers, particularly BM infiltration (r = 0.8; p < 0.001). CXCR4 C1013G was analysed in MYD88-mutated samples with available genomic DNA and was detected in 19/54 (35%) and 18/42 (43%) IgM MGUS and SWM cases respectively, also showing correlation with BM involvement (r = 0.9; p < 0.001). ddPCR also detected 8 (38%) and 10 (63%) MYD88-mutated cfDNA samples in IgM MGUS and SWM respectively. Moreover, high BM mutation burden (≥8% MYD88 and ≥2% CXCR4) was associated with an increased risk of progression to symptomatic WM. We show the clinical applicability of ddPCR to assess MYD88 and CXCR4 in IgM MGUS and SWM and provide a molecular-based risk classification.
