Centre for Lymphoid Cancer.
Molecular Oncology, and.
Blood. 2017 May 18;129(20):2760-2770. doi: 10.1182/blood-2016-11-747022. Epub 2017 Mar 28.
The clinical significance of and genetic alterations in diffuse large B-cell lymphoma (DLBCL), apart from translocations, has not been comprehensively investigated using high-resolution genetic assays. In this study, we profiled and genetic alterations using next-generation sequencing and high-resolution SNP array in 347 de novo DLBCL cases treated with R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone) at the British Columbia Cancer Agency. Cell-of-origin (COO) subtype was determined by Lymph2Cx digital gene expression profiling. We showed that the incidence of / genetic alterations and their clinical significance were largely dependent on COO subtypes. It is noteworthy that the presence of gain/amplification is significantly associated with poor outcome in activated B-cell-like and translocation with poor outcome in germinal center B-cell subtypes, respectively. Both have prognostic significance independent of MYC/BCL2 dual expression and the International Prognostic Index (IPI). Furthermore, the combination of genetic alterations with IPI identifies markedly worse prognostic groups within individual COO subtypes. Thus, high-resolution genomic assays identify extremely poor prognostic groups within each COO subtype on the basis of genetic status in this large, uniformly R-CHOP-treated population-based cohort of DLBCL. These results suggest COO subtype-specific biomarkers based on genetic alterations can be used to risk-stratify patients with DLBCL treated with immunochemotherapy.
除了易位之外,弥漫性大 B 细胞淋巴瘤(DLBCL)中 和 基因改变的临床意义尚未通过高分辨率遗传检测进行全面研究。在这项研究中,我们使用下一代测序和高分辨率 SNP 阵列对 347 例在不列颠哥伦比亚癌症署接受 R-CHOP(利妥昔单抗、环磷酰胺、多柔比星、长春新碱和泼尼松)治疗的初治 DLBCL 病例进行了 和 基因改变的分析。细胞起源(COO)亚型通过 Lymph2Cx 数字基因表达谱确定。我们表明,/基因改变的发生率及其临床意义在很大程度上取决于 COO 亚型。值得注意的是, 获得/扩增的存在与激活 B 细胞样和 易位分别与生发中心 B 细胞亚型的不良预后相关。两者均具有独立于 MYC/BCL2 双重表达和国际预后指数(IPI)的预后意义。此外, 遗传改变与 IPI 的结合在每个 COO 亚型内确定了明显更差的预后组。因此,在这个基于人群的大型 R-CHOP 治疗的 DLBCL 队列中,高分辨率基因组分析根据 基因状态确定了每个 COO 亚型内的极差预后组。这些结果表明,基于 遗传改变的 COO 亚型特异性生物标志物可用于对接受免疫化疗治疗的 DLBCL 患者进行风险分层。