Genomics

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Genomic and immune signatures predict clinical outcome in newly diagnosed multiple myeloma treated with immunotherapy regimens


ABSTRACT: Despite improving outcomes, 40% of patients with newly diagnosed multiple myeloma (NDMM) treated with daratumumab, an CD38-targeted monoclonal antibody, progress prematurely. By integrating tumor whole genome (WGS) and microenvironment single-cell RNA sequencing from upfront phase-II trials using carfilzomib, lenalidomide and dexamethasone with/without daratumumab (DKRd) (NCT03290950 and NCT02937571), we show how distinct genomic drivers including high APOBEC mutational activity, deletion of IKFZ3, TENT5C, RPL5, and gain(8q) impact clinical outcomes. Furthermore, the evaluation of paired-marrow profiles, taken before and after eight cycles of DKRd, shows that the NK-cells before treatment, disappearance of sustained immune activation (i.e., B-cell and T-cells), and monocyte expansion over time is predictive of sustained minimal residual disease negativity. Overall, this study shows that there is a complex interplay between tumor cells and immune microenvironment which is predictive of clinical outcome and the depth of treatment response in NDMM treated with CD38-targeted monoclonal antibody.

PROVIDER: EGAS00001007404 | EGA |

REPOSITORIES: EGA

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