Abstract

Simple SummaryIn this review we summarized the most relevant biological features concerning smoldering multiple myeloma (SMM). We outlined the genetic architecture of the disease and how it is entering in the SMM risk stratification. In particular, we pointed out how the identification of a high-risk setting, meaning the population with the risk of faster progression to the symptomatic phase, is crucial and, despite huge improvements in recent years, still represents an unmet clinical need. Indeed, the correct identification of these patients will drive to an early therapeutical intervention. Moreover, we also discussed the role of the microenvironment, which is highly relevant in the symptomatic disease but still understudied in the SMM setting. Finally, we debated the state-of-the-art current available therapies and ongoing clinical trials, and envisioned possible strategies to introduce a biological-based stratification approach within the daily clinical practice.Smoldering multiple myeloma (SMM) is an asymptomatic disorder of clonal bone marrow (BM) plasma cells (PCs) in between the premalignant condition known as monoclonal gammopathy of undetermined significance and overt multiple myeloma (MM). It is characterized by a deep biological heterogeneity that is reflected in a markedly variable progression risk among patients. Recently proposed risk stratification models mainly rely on indirect markers of disease burden and are unable to identify cases in whom clonal PCs have already undergone the “malignant switch” but major clonal expansion has not occurred yet. In the last years, the application of next-generation sequencing (NGS) techniques has led to profound advances in the understanding of the molecular bases of SMM progression, and in all likelihood, it will contribute to the needed improvement of SMM prognostication. In this Review, we describe the recent advances in characterizing the genomic landscape of SMM and intrinsic determinants of its progression, highlighting their implications in terms of understanding of tumor evolution and prognostication. We also review the main studies investigating the role of the microenvironment in this early disease stage. Finally, we mention the results of the first randomized clinical trials and discuss the potential clinical translability of the genomic insights.

Highlights

  • Smoldering multiple myeloma (SMM) is an asymptomatic disorder of clonal bone marrow (BM) plasma cells (PCs)

  • SMM incidence is roughly 0.4–0.9 cases per 100,000 persons per year [1,2]. It represents an intermediate clinical stage between the premalignant condition known as monoclonal gammopathy of undetermined significance (MGUS), characterized by a lower clonal burden, and overt multiple myeloma (MM) [3]

  • In recent years the studies on the genomics of SMM have tried to identify the genomic correlates of the heterogeneity of the disease observed at the clinical level, undoubtedly providing important insights in this regard

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Summary

Introduction

Smoldering multiple myeloma (SMM) is an asymptomatic disorder of clonal bone marrow (BM) plasma cells (PCs). An aggregate progression risk of about 10% per year for the first five years, 3% per year for the five years, and 1% per year thereafter, is calculated by averaging the clinical course of two biologically distinct subsets of SMM patients: i) MGUS-like patients (roughly 30%), affected by what is likely a premalignant condition from a biological point of view, and characterized by a very low rate of progression, and ii) MM-like patients (approximately 70%) with biological malignancy who have not yet developed CRAB (hypercalcemia–renal failure–anemia–bone lesions) symptoms and/or other MDEs but are going to do so in the short to medium term This framework clearly brings out the limits that characterize the arbitrarily determined clinical criteria reflecting tumor burden currently in use for the diagnosis of monoclonal gammopathies, and the need to better define what distinguishes the patients in whom a malignant switch of clonal plasma cells has occurred from those who have only clonal benign/premalignant PCs

Risk Stratification Models
Genomic Landscape and Intrinsic Determinants of SMM Progression
Genomic Landscape
Molecular Models of Progression
Molecular Models of Risk Stratification
Mutational Signatures and Chromosomal Events
Cell-Extrinsic Determinants of SMM Progression
Clinical Perspectives
Findings
Conclusions

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