Laboratoire d'Hématologie et, UMR CNRS 7276/INSERM 1262, CRIBL, Centre de Biologie et de Recherche en Santé, CHU et Université de Limoges, Limoges, France.
Inserm, MICMAC - UMR_S 1236, CHU Rennes, Université Rennes 1, Rennes, France.
Int J Lab Hematol. 2021 Aug;43(4):683-692. doi: 10.1111/ijlh.13435. Epub 2020 Dec 16.
Mutational complexity or tumor mutational burden (TMB) influences the course of chronic lymphocytic leukemia (CLL). However, this information is not routinely used because TMB is usually obtained from whole genome or exome, or from large gene panel high-throughput sequencing.
Here, we used the C-Harrel concordance index to determine the minimum panel of genes for which mutations predict treatment-free survival (TFS) as well as large resequencing panels.
An eight gene estimator was defined encompassing ATM, SF3B1, NOTCH1, BIRC3, XPO1, MYD88, TNFAIP3, and TP53. TMB estimated from either a large panel of genes or the eight gene estimator was increased in treated patients or in those with a short TFS (<2 years), unmutated IGHV gene or with an unfavorable karyotype. Being an independent prognostic parameter, any mutation in the eight gene estimator predicted a shorter TFS better than Binet stage and IGHV mutational status among patients with an apparently non-progressive disease (TFS >6 months). Strikingly, the eight gene estimator was also highly informative for patients with Binet stage A CLL or with a good prognosis karyotype.
These results suggest that the eight gene estimator, that is easily achievable by high-throughput resequencing, brings robust and valuable information that predicts evolution of untreated patients at diagnosis better than any other parameter.
突变复杂性或肿瘤突变负担(TMB)影响慢性淋巴细胞白血病(CLL)的病程。然而,由于 TMB 通常是从全基因组或外显子组获得的,或者是从大型基因panel 高通量测序中获得的,因此该信息通常未被使用。
在这里,我们使用 C-Harrel 一致性指数来确定预测无治疗生存(TFS)的最小基因panel,以及大型重测序panel。
定义了一个包含 ATM、SF3B1、NOTCH1、BIRC3、XPO1、MYD88、TNFAIP3 和 TP53 的八个基因估计器。无论是从大panel 的基因还是八个基因估计器中估计的 TMB,在接受治疗的患者或 TFS 较短(<2 年)、IGHV 基因未突变或具有不良核型的患者中均增加。作为独立的预后参数,任何八个基因估计器中的突变都比 Binet 分期和 IGHV 突变状态更好地预测 TFS 较短的患者,在那些表现为非进行性疾病(TFS >6 个月)的患者中。引人注目的是,八个基因估计器对于 Binet 分期为 A 的 CLL 患者或具有良好预后核型的患者也具有高度信息性。
这些结果表明,八个基因估计器可通过高通量重测序轻松实现,它提供了强大且有价值的信息,比任何其他参数更能预测未治疗患者的疾病进展。