Single-cell discovery and multi-omic characterization of therapeutic targets in multiple myeloma [scRNA-seq]

Multiple myeloma (MM) is a highly refractory hematological cancer. Targeted immunotherapy has shown promise in MM but remains hindered by the challenge of identifying specific yet broadly representative tumor markers. We analyzed 53 bone marrow (BM) aspirates from 41 MM patients using an unbiased, high-throughput pipeline for therapeutic target discovery via single cell transcriptomic profiling, yielding 38 MM marker genes encoding cell-surface proteins and 15 encoding intracellular proteins. Of these, 20 candidate genes were highlighted that are not yet under clinical study, 11 of which are previously uncharacterized as therapeutic targets. The findings were cross-validated using bulk RNA-sequencing, flow cytometry, and proteomic mass spectrometry of MM cell lines and patient BM, demonstrating high overall concordance across data types. Independent discovery using bulk RNA-sequencing reiterated top candidates, further affirming the ability of single cell transcriptomics to accurately capture marker expression despite limitations in sample size or sequencing depth. Target dynamics and heterogeneity were further examined using both transcriptomic and immuno-imaging methods. In summary, this study presents a robust and broadly applicable strategy for identifying tumor markers to better inform the development of targeted cancer therapy. We used scRNA-seq to perform an unbiased search for genes with specific expression in plasma cells and/or B cells (relative to other detected cell types) on 53 bone marrow mononuclear cell (BMMC) samples taken from 41 patients. Submitter states: raw data will be submitted to dbGaP due to patient privacy concerns. ND* samples already have raw data available in dbGaP: accession number phs000159