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Genomic Profiling to Contextualize the Results of Intervention for Smoldering Multiple Myeloma

Dickran Kazandjian, Benjamin Diamond, Marios Papadimitriou, Elizabeth Hill, Romanos Sklavenitis‐Pistofidis, Bachisio Ziccheddu, Patrick Blaney, Monika Chojnacka, Michael Durante, Kylee Maclachlan, Ryan M. Young, Saad Z. Usmani, Faith E. Davies, Gad Getz, Irene M. Ghobrial, Neha Korde, Gareth J. Morgan, Francesco Maura, Ola Landgren

2024Clinical Cancer Research16 citationsDOIOpen Access PDF

Abstract

PURPOSE: Early intervention for high-risk smoldering multiple myeloma (HR-SMM) achieves deep and prolonged responses. It is unclear if beneficial outcomes are due to the treatment of less complex, susceptible disease or inaccuracy in clinical definition of cases entered. EXPERIMENTAL DESIGN: In this study, we interrogated whole-genome and whole-exome sequencing for 54 patients across two HR-SMM interventional studies (NCT01572480 and NCT02279394). RESULTS: We reveal that the genomic landscape of treated HR-SMM is generally simple as compared with newly diagnosed multiple myeloma counterparts with less inactivation of tumor suppressor genes, RAS pathway mutations, MYC disruption, and APOBEC contribution. The absence of these events parallels that of indolent precursor conditions, possibly explaining overall excellent outcomes. However, some patients harboring genomic complexity fail to sustain response and experience resistant, progressive disease. Overall, clinical risk scores do not effectively discriminate between genomically indolent and aggressive disease. CONCLUSIONS: Genomic profiling can contextualize the advantage of early intervention in SMM and guide personalization of therapy. See related commentary by Weinhold and Rasche, p. 4263.

Topics & Concepts

Multiple myelomaProfiling (computer programming)BiologyMedicineComputational biologyImmunologyComputer scienceOperating systemMultiple Myeloma Research and TreatmentsProtein Degradation and InhibitorsMelanoma and MAPK Pathways