GATA2 mutant variant allele frequency may reflect prognosis in Chinese adult patients with de novo cytogenetically normal acute myeloid leukemia

GATA2突变变异等位基因频率可能反映中国成年原发性细胞遗传学正常急性髓系白血病患者的预后。

阅读:1

Abstract

Exploration of variant allele frequency (VAF) of GATA2 mutations (GATA2mut) provides insights into acute myeloid leukemia (AML) prognosis. In this study, we analyzed GATA2mut and co-mutations in 166 Chinese patients with cytogenetically normal AML. This was done through targeted next-generation sequencing of 34 genes associated with myeloid leukemia. GATA2mut was identified in 17 (10%) patients being significantly correlated with co-mutations in CCAAT/enhancer-binding protein alpha (CEBPA) double mutation (P = 0.001). We observed that the N-terminal zinc finger domain (ZF1) was linked to CEBPA mutations, while the C-terminal zinc finger domain (ZF2) was associated with Wilms' tumor 1 (WT1) mutations. It was also noted that patients with GATA2mut had lower platelet counts at diagnosis (P = 0.032). In the entire cohort, GATA2mut had no significant prognostic impact on overall survival (OS) (P = 0.762) and relapse-free survival (RFS) (P = 0.369) compared to patients with GATA2wt. The OS (P = 0.737) and RFS (P = 0.894) of the ZF1 mutation were similar to those of the ZF2 mutation. Most patients with GATA2 mutations were classified in the ELN2022 favorable- and intermediate-risk groups. GATA2mut patients in the favorable-risk group were divided into GATA2High and GATA2Low groups using a median cutoff variant allele frequency (VAF) of 40.13%. GATA2High patients were associated with worse OS (P = 0.031) and RFS (P = 0.021) than GATA2Low patients. In the intermediate-risk group, the high median VAF of GATA2 (≥38.51%) had no significant effect in OS and RFS compared with the low median VAF (<38.51%). This study offers new insights on the prognosis of GATA2mut in the favorable-risk group, where VAF can be used as a guide.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。