Department of Medicine, Washington University School of Medicine, St. Louis, 63110, MO, USA.
Sage Bionetworks, Seattle, WA, 91809, USA.
Blood Cancer J. 2018 Mar 21;8(3):35. doi: 10.1038/s41408-018-0062-y.
Multiple myeloma (MM) is a disease of copy number variants (CNVs), chromosomal translocations, and single-nucleotide variants (SNVs). To enable integrative studies across these diverse mutation types, we developed a capture-based sequencing platform to detect their occurrence in 465 genes altered in MM and used it to sequence 95 primary tumor-normal pairs to a mean depth of 104×. We detected cases of hyperdiploidy (23%), deletions of 1p (8%), 6q (21%), 8p (17%), 14q (16%), 16q (22%), and 17p (4%), and amplification of 1q (19%). We also detected IGH and MYC translocations near expected frequencies and non-silent SNVs in NRAS (24%), KRAS (21%), FAM46C (17%), TP53 (9%), DIS3 (9%), and BRAF (3%). We discovered frequent mutations in IGLL5 (18%) that were mutually exclusive of RAS mutations and associated with increased risk of disease progression (p = 0.03), suggesting that IGLL5 may be a stratifying biomarker. We identified novel IGLL5/IGH translocations in two samples. We subjected 15 of the pairs to ultra-deep sequencing (1259×) and found that although depth correlated with number of mutations detected (p = 0.001), depth past ~300× added little. The platform provides cost-effective genomic analysis for research and may be useful in individualizing treatment decisions in clinical settings.
多发性骨髓瘤(MM)是一种涉及拷贝数变异(CNVs)、染色体易位和单核苷酸变异(SNVs)的疾病。为了能够在这些不同的突变类型之间进行综合研究,我们开发了一种基于捕获的测序平台,用于检测 MM 中改变的 465 个基因中的这些突变的发生情况,并使用该平台对 95 对原发性肿瘤-正常对进行测序,平均深度为 104×。我们检测到了超二倍体(23%)、1p 缺失(8%)、6q 缺失(21%)、8p 缺失(17%)、14q 缺失(16%)、16q 缺失(22%)和 17p 缺失(4%),以及 1q 扩增(19%)。我们还检测到了IGH 和 MYC 易位,其出现频率接近预期,NRAS(24%)、KRAS(21%)、FAM46C(17%)、TP53(9%)、DIS3(9%)和 BRAF(3%)中的非沉默 SNVs。我们发现 IGLL5 中经常发生突变(18%),这些突变与 RAS 突变互斥,并与疾病进展风险增加相关(p=0.03),这表明 IGLL5 可能是一种分层生物标志物。我们在两个样本中发现了新的 IGLL5/IGH 易位。我们对其中的 15 对进行了超深度测序(1259×),发现尽管深度与检测到的突变数量相关(p=0.001),但超过~300×的深度增加很少。该平台为研究提供了具有成本效益的基因组分析,并且在临床环境中可能有助于个体化治疗决策。