Spatial transcriptomics reveals profound subclonal heterogeneity and T-cell dysfunction in extramedullary myeloma.

Extramedullary disease (EMD) is a high-risk feature of multiple myeloma (MM) and remains a poor prognostic factor even in the era of novel immunotherapies. Here we applied spatial transcriptomics (tomo-seq [n=2] and 10X Visium [n=12]), and single-cell RNA sequencing (scRNAseq [n=3]) to a set of 14 EMD biopsies to dissect the three-dimensional architecture of tumor cells and their microenvironment. Overall, the infiltrating immune and stromal cells showed both intra- and inter-patient variation with no uniform distribution over the lesion. We observed substantial heterogeneity at the copy number level within plasma cells, including the emergence of new subclones in circumscribed areas of the tumor, consistent with genomic instability. We further identified spatial expression differences of GPRC5D and TNFRSF17, two important antigens for bispecific antibody therapy. EMD masses were infiltrated by various immune cells, including T-cells. Notably, exhausted TIM3+/PD-1+ T-cells diffusely co-localized with MM cells, whereas functional and activated CD8+ T-cells showed a focal infiltration pattern along with M1 macrophages in otherwise tumor-free regions. This segregation of fit and exhausted T-cells was resolved in the case of response to T-cell engaging bispecific antibodies. MM cells and microenvironment cells were embedded in a complex network that influenced immune activation and angiogenesis, and oxidative phosphorylation represented the major metabolic program within EMD lesions. In summary, spatial transcriptomics has revealed a multicellular ecosystem in EMD with checkpoint inhibition and dual targeting as potential new therapeutic avenues.

RUNX1 isoform disequilibrium promotes the development of trisomy 21-associated myeloid leukemia.

Gain of chromosome 21 (Hsa21) is among the most frequent aneuploidies in leukemia. However, it remains unclear how partial or complete amplifications of Hsa21 promote leukemogenesis and why children with Down syndrome (DS) (ie, trisomy 21) are particularly at risk of leukemia development. Here, we propose that RUNX1 isoform disequilibrium with RUNX1A bias is key to DS-associated myeloid leukemia (ML-DS). Starting with Hsa21-focused CRISPR-CRISPR-associated protein 9 screens, we uncovered a strong and specific RUNX1 dependency in ML-DS cells. Expression of the RUNX1A isoform is elevated in patients with ML-DS, and mechanistic studies using murine ML-DS models and patient-derived xenografts revealed that excess RUNX1A synergizes with the pathognomonic Gata1s mutation during leukemogenesis by displacing RUNX1C from its endogenous binding sites and inducing oncogenic programs in complex with the MYC cofactor MAX. These effects were reversed by restoring the RUNX1A:RUNX1C equilibrium in patient-derived xenografts in vitro and in vivo. Moreover, pharmacological interference with MYC:MAX dimerization using MYCi361 exerted strong antileukemic effects. Thus, our study highlights the importance of alternative splicing in leukemogenesis, even on a background of aneuploidy, and paves the way for the development of specific and targeted therapies for ML-DS, as well as for other leukemias with Hsa21 aneuploidy or RUNX1 isoform disequilibrium.

Changes in T-cell subsets, preexisting cytopenias and hyperferritinaemia correlate with cytopenias after BCMA targeted CAR T-cell therapy in relapsed/refractory multiple myeloma: Results from a prospective comprehensive biomarker study.

Biomarkers for cytopenias following CAR T-cell treatment in relapsed/refractory (RR) multiple myeloma (MM) are not completely defined. We prospectively analysed 275 sequential peripheral blood (PB) samples from 58 RRMM patients treated with BCMA-targeted CAR T cells, and then divided them into three groups: (i) baseline (before leukapheresis), (ii) ≤day+30, and (iii) >day+30 after CAR T-cell therapy. We evaluated laboratory data and performed flow cytometry to determine the (CAR) T-cell subsets. Baseline hyperferritinaemia was a risk factor for long-lasting grade ≥3 anaemia (r = 0.47, p < 0.001) and thrombocytopenia (r = 0.44, p = 0.002) after CAR T-cell therapy. Low baseline haemoglobin (Hb) and PLT were associated with long-lasting grade ≥3 anaemia (r = -0.56, p < 0.001) and thrombocytopenia (r = -0.44, p = 0.002) respectively. We observed dynamics of CAR-negative T-cell subsets following CAR T-cell infusion. In the late phase after CAR T-cell therapy (>day+30), CD4Tn frequency correlated with anaemia (r = 0.41, p = 0.0014) and lymphocytopenia was related to frequencies of CD8+ T cells (r = 0.72, p < 0.001) and CD8Teff (r = 0.64, p < 0.001). CD4Tcm frequency was correlated with leucocytopenia (r = -0.49, p < 0.001). In summary, preexisting cytopenias and hyperferritinaemia indicated long duration of grade ≥3 post-CAR T-cell cytopenias. Prolonged cytopenia may be related to immune remodelling with a shift in the CAR-negative T-cell subsets following CAR T-cell therapy.