Key Points
Whole-exome sequencing demonstrates that genomic data can enhance the prediction of progression from asymptomatic to symptomatic disease.
Patients with IgM-MGUS display 2 genetically distinct entities, with “benign” and “WM-like” genomic features.
Immunoglobulin M (IgM) monoclonal gammopathy of undetermined significance (IgM-MGUS) and asymptomatic Waldenström macroglobulinemia (WM; aWM) are precursor conditions of symptomatic WM with an annual 1.5% to 12% risk of progression. Although clinical prognostic models exist for risk stratification, it remains challenging to distinguish asymptomatic patients who will eventually progress from those who will not. Hence, the characterization of genomic features that shape disease progressors could potentially improve risk stratification. We performed whole-exome sequencing on 229 samples from 139 patients, including 9 patients with sequential samples. We observed an increasing mutation burden through the stages of disease evolution. Genes such as CD79B, ARID1A, and CREBBP were more often mutated in the aWM progressed (aWMpr) compared with the stable aWM (aWMst) group, whereas MYD88L265 variant allele frequency was significantly higher in patients with aWMpr than those with aWMst. In addition, patients with IgM-MGUS with MYD88WT genotype showed a distinct genomic profile compared with the MYD88MUT patients. Furthermore, the presence of more aneuploidies showed a significant association with a higher risk of progression to the symptomatic disease. Overall, our study shows that genomic profiling of patients’ tumor at the time of aWM diagnosis might represent an improved strategy for identifying patients at high risk to progression who could benefit from earlier intervention.
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