[Clinical Characteristics and Prognosis of Acute Myeloid Leukemia Patients with GATA2 Gene Mutation].

OBJECTIVE: To investigate the clinical characteristics, coexisting gene mutations and prognosis of acute myeloid leukemia (AML) patients with GATA2 gene mutation. METHODS: The clinical data of 370 newly diagnosed AML patients treated in our hospital from January 2008 to January 2021 was analyzed retrospectively, the next-generation sequencing technology was used to detect the mutated genes in those patients. The clinical characteristics of AML patients with GATA2 mutations, the co-mutated genes of GATA2 mutations, and the effect of GATA2 mutation on prognosis were analyzed. RESULTS: A total of 23 patients (6.2%) with GATA2 mutation was detected in 370 AML patients. Compared with GATA2 non-mutation group, patients in GATA2 mutation group were mostly normal karyotypes (P =0.037) and in low-risk cytogenetic stratification (P =0.028). The incidence of CEBPAdm and NRAS in GATA2 mutation group was significantly higher than that in GATA2 non-mutation group (P =0.010, P =0.009). There were no statistically significant differences between the two groups in terms of sex, age, white blood cell count (WBC), platelet count, hemoglobin, bone marrow (BM) blast, induction chemotherapy regimen and CR rate (P >0.05). Among the 23 patients with GATA2 mutation, the most common co-mutated genes were CEBPAdm, NRAS (both 39.1%), NPM1, FLT3, TET2, WT1 (all 17.4%), ASXL1 and IDH1 (both 13.0%). Survival analysis showed that there was no statistical difference in 5-year overall survival (OS) and leukemia-free survival (LFS) rates between patients with and without GATA2 mutations in whole cohort (n=370) (P =0.306, P =0.308). Among 306 patients without CEBPAdm, the 5-year OS and LFS rates in GATA2 mutation group showed an increasing trend compared with GATA2 non-mutation group, but the difference was not statistically significant (P =0.092, P =0.056). Among 64 patients with CEBPAdm, there was no statistically significant difference in 5-year OS rate between the GATA2 mutation group and the GATA2 non-mutation group (P =0.104), but the 5-year LFS rate of the GATA2 mutation group was significantly decreased (P =0.047). Among the 23 patients with GATA2 mutation, 16 cases received the "3+7" induction regimen, of which 12 cases received allogeneic hematopoietic stem cell transplantation (allo-HSCT); 7 cases received the "DCAG" induction regimen, of which 3 cases received allo-HSCT. The CR rate was not statistically different between the "3+7" regimen group and the "DCAG" regimen group (P =1.000). The 5-year OS rate and LFS rate in the transplantation group were significantly higher than the chemotherapy group (P =0.021, P =0.020). CONCLUSION: GATA2 mutation is more common in AML patients with normal karyotype and low-risk cytogenetic stratification, and it is significantly associated with CEBPAdm and NRAS co-mutations. The prognostic significance of GATA2 is influenced by CEBPAdm. The choice of "3+7" or "DCAG" induction regimen in patients with GATA2 mutation does not affect their CR rate, while the choice of allo-HSCT can significantly improved the prognosis compared with chemotherapy only.

A novel scoring system for the quantitative prediction of prognosis in acute myeloid leukemia.

Background: Acute myeloid leukemia (AML) is a heterogeneous hematopoietic malignancy. Patient prognosis cannot be accurately assessed in National Comprehensive Cancer Network (NCCN) risk stratification subgroups based on the current criteria. This study aimed to develop a novel prognostic score model for the quantitative prediction of prognosis in AML. Results: We developed a prognostic risk scoring model of AML using differentially expressed genes to predict prognosis in patients with AML. Furthermore, we evaluated the effectiveness and clinical significance of this prognostic model in 4 AML cohorts and 905 patients with AML. A prognostic risk scoring model of AML containing eight prognosis-related genes was constructed using a multivariate Cox regression model. The model had a higher predictive value for the prognosis of AML in the training and validation sets. In addition, patients with lower scores had significantly better overall survival (OS) and even-free survival (EFS) than those with higher scores among patients with intermediate-risk AML according to the NCCN guidelines, indicating that the model could be used to further predict the prognosis of the intermediate-risk AML populations. Similarly, patients with high scores had remarkably poor OS and EFS in the normal-karyotype populations, indicating that the scoring model had an excellent predictive performance for patients with AML having normal karyotype. Conclusions: Our study provided an individualized prognostic risk score model that could predict the prognosis of patients with AML.