Department of Pathology, City of Hope National Medical Center, Duarte, California.
Toni Stephenson Lymphoma Center, City of Hope National Medical Center, Duarte, California.
Clin Cancer Res. 2021 Mar 15;27(6):1671-1680. doi: 10.1158/1078-0432.CCR-20-2378. Epub 2021 Jan 7.
We performed detailed genomic analysis on 87 cases of diffuse large B-cell lymphoma of germinal center type (GCB DLBCL) to identify characteristics that are associated with survival in those treated with R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone).
The cases were extensively characterized by combining the results of IHC, cell-of-origin gene expression profiling (GEP; NanoString), double-hit GEP (DLBCL90), FISH cytogenetic analysis for double/triple-hit lymphoma, copy-number analysis, and targeted deep sequencing using a custom mutation panel of 334 genes.
We identified four distinct biologic subgroups with different survivals, and with similarities to the genomic classifications from two large retrospective studies of DLBCL. Patients with the double-hit signature, but no abnormalities of , and those lacking mutation and/or translocation, had an excellent prognosis. However, patients with an EZB-like profile had an intermediate prognosis, whereas those with inactivation combined with the double-hit signature had an extremely poor prognosis. This latter finding was validated using two independent cohorts.
We propose a practical schema to use genomic variables to risk-stratify patients with GCB DLBCL. This schema provides a promising new approach to identify high-risk patients for new and innovative therapies.
我们对 87 例生发中心型弥漫性大 B 细胞淋巴瘤(GCB DLBCL)进行了详细的基因组分析,以确定与接受 R-CHOP(利妥昔单抗、环磷酰胺、多柔比星、长春新碱和泼尼松)治疗的患者生存相关的特征。
通过结合免疫组化、细胞起源基因表达谱分析(GEP;NanoString)、双重打击 GEP(DLBCL90)、双/三打击淋巴瘤的 FISH 细胞遗传学分析、拷贝数分析以及使用定制的 334 个基因突变面板进行靶向深度测序,对这些病例进行了广泛的特征描述。
我们确定了四个具有不同生存情况的不同生物学亚组,与两项关于 DLBCL 的大型回顾性研究的基因组分类具有相似性。具有双重打击特征但无 异常,且缺乏 突变和/或 易位的患者具有极好的预后。然而,具有 EZB 样特征的患者具有中等预后,而同时具有 失活和双重打击特征的患者则具有极差的预后。这一发现通过两个独立的队列得到了验证。
我们提出了一种实用的方案,使用基因组变量对 GCB DLBCL 患者进行风险分层。该方案为识别高危患者提供了一种有前途的新方法,可用于新的创新疗法。