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骨髓增生异常综合征中的突变与预后:300 例连续病例的靶向测序的核型调整分析及遗传风险模型的建立。

Mutations and prognosis in myelodysplastic syndromes: karyotype-adjusted analysis of targeted sequencing in 300 consecutive cases and development of a genetic risk model.

机构信息

Divisions of Hematology, Mayo Clinic, Rochester, Minnesota.

Divisions of Hematopathology, Mayo Clinic, Rochester, Minnesota.

出版信息

Am J Hematol. 2018 May;93(5):691-697. doi: 10.1002/ajh.25064. Epub 2018 Feb 24.

DOI:10.1002/ajh.25064
PMID:29417633
Abstract

To develop a genetic risk model for primary myelodysplastic syndromes (MDS), we queried the prognostic significance of next-generation sequencing (NGS)-derived mutations, in the context of the Mayo cytogenetic risk stratification, which includes high-risk (monosomal karyotype; MK), intermediate-risk (non-MK, classified as intermediate/poor/very poor, per the revised international prognostic scoring system; IPSS-R), and low-risk (classified as good/very good, per IPSS-R). Univariate analysis in 300 consecutive patients with primary MDS identified TP53, RUNX1, U2AF1, ASXL1, EZH2, and SRSF2 mutations as "unfavorable" and SF3B1 as "favorable" risk factors for survival; for the purposes of the current study, the absence of SF3B1 mutation was accordingly dubbed as an "adverse" mutation. Analysis adjusted for age and MK, based on our previous observation of significant clustering between MK and TP53 mutations, confirmed independent prognostic contribution from RUNX1, ASXL1, and SF3B1 mutations. Multivariable analysis that included age, the Mayo cytogenetics risk model and the number of adverse mutations resulted in HRs (95% CI) of 5.3 (2.5-10.3) for presence of three adverse mutations, 2.4 (1.6-3.7) for presence of two adverse mutations, 1.5 (1.02-2.2) for presence of one adverse mutation, 5.6 (3.4-9.1) for high-risk karyotype, 1.5 (1.1-2.2) for intermediate-risk karyotype and 2.4 (1.8-3.3) for age >70 years; HR-weighted risk point assignment generated a three-tiered genetic risk model: high (N = 65; 5-year survival 2%), intermediate (N = 100; 5-year survival 18%), and low (N = 135; 5-year survival 56%). The current study provides a practically simple risk model in MDS that is based on age, karyotype, and mutations only.

摘要

为了开发原发性骨髓增生异常综合征 (MDS) 的遗传风险模型,我们在梅奥细胞遗传学风险分层的背景下,研究了下一代测序 (NGS) 衍生突变的预后意义。该分层包括高危(单倍体核型;MK)、中危(非-MK,根据修订后的国际预后评分系统 (IPSS-R) 分为中危/差/极差)和低危(根据 IPSS-R 分为良好/极好)。对 300 例连续原发性 MDS 患者的单因素分析确定 TP53、RUNX1、U2AF1、ASXL1、EZH2 和 SRSF2 突变为“不利”,SF3B1 突变为“有利”的生存危险因素;出于当前研究的目的,SF3B1 突变缺失因此被称为“不利”突变。基于我们之前观察到 MK 和 TP53 突变之间存在显著聚类的情况,对年龄和 MK 进行调整的分析证实了 RUNX1、ASXL1 和 SF3B1 突变具有独立的预后贡献。包括年龄、梅奥细胞遗传学风险模型和不利突变数量的多变量分析得出存在 3 个不利突变的 HR(95%CI)为 5.3(2.5-10.3),存在 2 个不利突变的 HR 为 2.4(1.6-3.7),存在 1 个不利突变的 HR 为 1.5(1.02-2.2),高危核型的 HR 为 5.6(3.4-9.1),中危核型的 HR 为 1.5(1.1-2.2),年龄>70 岁的 HR 为 2.4(1.8-3.3);HR 加权风险点赋值生成了一个三层次遗传风险模型:高(N=65;5 年生存率为 2%),中(N=100;5 年生存率为 18%)和低(N=135;5 年生存率为 56%)。当前研究提供了一种在 MDS 中基于年龄、核型和突变的实用简单风险模型。

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