Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Center for Prevention of Progression of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA.
J Clin Oncol. 2020 Jul 20;38(21):2380-2389. doi: 10.1200/JCO.20.00437. Epub 2020 May 22.
Smoldering multiple myeloma (SMM) is a precursor condition of multiple myeloma (MM) with a 10% annual risk of progression. Various prognostic models exist for risk stratification; however, those are based on solely clinical metrics. The discovery of genomic alterations that underlie disease progression to MM could improve current risk models.
We used next-generation sequencing to study 214 patients with SMM. We performed whole-exome sequencing on 166 tumors, including 5 with serial samples, and deep targeted sequencing on 48 tumors.
We observed that most of the genetic alterations necessary for progression have already been acquired by the diagnosis of SMM. Particularly, we found that alterations of the mitogen-activated protein kinase pathway ( and single nucleotide variants [SNVs]), the DNA repair pathway (deletion 17p, , and SNVs), and (translocations or copy number variations) were all independent risk factors of progression after accounting for clinical risk staging. We validated these findings in an external SMM cohort by showing that patients who have any of these three features have a higher risk of progressing to MM. Moreover, APOBEC associated mutations were enriched in patients who progressed and were associated with a shorter time to progression in our cohort.
SMM is a genetically mature entity whereby most driver genetic alterations have already occurred, which suggests the existence of a right-skewed model of genetic evolution from monoclonal gammopathy of undetermined significance to MM. We identified and externally validated genomic predictors of progression that could distinguish patients at high risk of progression to MM and, thus, improve on the precision of current clinical models.
冒烟型多发性骨髓瘤(SMM)是多发性骨髓瘤(MM)的前体疾病,每年有 10%的进展风险。目前存在多种用于风险分层的预后模型;然而,这些模型仅基于临床指标。发现导致疾病进展为 MM 的基因组改变可以改进当前的风险模型。
我们使用下一代测序技术研究了 214 例 SMM 患者。我们对 166 个肿瘤进行了全外显子组测序,其中包括 5 个连续样本,并对 48 个肿瘤进行了深度靶向测序。
我们观察到,进展所需的大多数遗传改变在 SMM 诊断时已经存在。特别是,我们发现丝裂原活化蛋白激酶途径(和单核苷酸变异[SNV])、DNA 修复途径(缺失 17p、、和 SNV)和(易位或拷贝数变异)的改变,在考虑临床风险分期后,都是进展的独立危险因素。我们通过在外部 SMM 队列中验证这些发现,表明具有这三个特征之一的患者进展为 MM 的风险更高。此外,APOBEC 相关突变在进展患者中富集,并且与我们队列中进展时间较短相关。
SMM 是一种遗传上成熟的实体,大多数驱动基因改变已经发生,这表明从意义未明的单克隆丙种球蛋白血症到 MM 的遗传进化存在右偏模型。我们确定并外部验证了进展的基因组预测因子,这些预测因子可以区分进展为 MM 的高风险患者,从而提高当前临床模型的精确性。