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.