1.Effects of different treatment regimens before allogeneic-hematopoietic stem cell transplantation on the outcome after transplantation of patients with myelodysplastic syndrome: a meta analysis
Ying LIU ; Panpan LI ; Wenqing WANG ; Huaipeng GUO ; Li LIU
Journal of Leukemia & Lymphoma 2021;30(12):748-755
Objective:To systematically evaluate effects of different treatment schemes before allogeneic-hematopoietic stem cell transplantation (allo-HSCT) on the long-term relapse and survival of patients with myelodysplastic syndrome (MDS) after transplantation.Methods:The related literatures were searched from databases of Ovid, Cochrane Library, PubMed, Embase, CNKI, VIP, WanFang and CBM from inception to December 2019. And then 2 reviewers independently extracted data, assessed methodological quality and crosschecked on the included literatures. According to the treatment methods, the cases included in the literatures were divided into demethylation drug (decitabine or azacytidine) treatment (demethylation treatment group) and traditional treatment regimen (including chemotherapy and support treatment) (traditional treatment group). RevMan 5.3 software was used to analyze overall survival (OS), recurrence, non-relapse mortality (NRM) and relapse free survival (RFS).Results:Finally, 10 articles were included. The results of meta-analysis showed that in the traditional treatment group, the differences of 3-year OS rate [44.6% (146/327) vs. 35.5%(138/389); OR = 0.93, 95% CI 0.38-2.27, P = 0.87], the recurrence rate [32.4% (106/327) vs. 37.3% (145/389); OR = 1.00, 95% CI 0.49-2.05, P = 0.99], NRM [26.3% (86/327) vs. 27.0% (105/389); OR = 1.05, 95% CI 0.75-1.49, P = 0.77], RFS rate [9.2% (30/327) vs. 12.6% (49/389); OR = 0.74, 95% CI 0.26-2.10, P = 0.57] between the chemotherapy group and the support treatment group were not statistically significant. The differences of 3-year OS rate [40.7% (165/405) vs. 45.9% (290/632); OR = 0.98, 95% CI 0.71-1.36, P = 0.28], recurrence rate [32.6% (132/405) vs. 38.3% (242/632); OR = 1.05, 95% CI 0.79-2.05, P = 0.25], NRM [27.2% (110/405) vs. 24.8% (157/632); OR = 0.81, 95% CI 0.59-1.11, P = 0.68], RFS rate [46.7% (189/405) vs. 42.2 (267/632); OR = 0.84, 95% CI 0.63-1.12, P = 0.85] between demethylation treatment group and traditional treatment group were not statistically significant. There were no significant differences in 3-year OS rate, recurrence rate, NRM and RFS rate between demethylation treatment group and chemotherapy group, demethylation treatment group and support treatment group (all P > 0.05). Conclusion:Different treatment regimens before allo-HSCT have no significant effect on survival or recurrence after transplantation for patients with MDS.
2.Distribution characteristics of gene mutations in patients with acute myeloid leukemia and their relationship with prognosis
Naicen ZHOU ; Guohui LI ; Huaipeng GUO ; Cong LIU ; Li LIU
Journal of Leukemia & Lymphoma 2022;31(1):20-25
Objective:To investigate the distribution characteristics of gene mutations and their relationship with prognosis in newly diagnosed patients with acute myeloid leukemia (AML).Methods:The clinical data of 225 newly diagnosed AML (non-acute promyelocytic leukemia) patients in the Second Affiliated Hospital (Tangdu Hospital) of Air Force Medical University from May 2016 to December 2019 were retrospectively analyzed. Thirty-four gene mutations related to AML, myelodyplastic syndrome (MDS) and myeloproliterative neoplasms (MPN) were detected by second-generation sequencing. The distribution of all gene mutations and its difference among different age groups were analyzed, and the differences in survival of patients with different gene mutations were compared. The Cox regression model was employed to analyze the survival influencing factors of patients aged <60 years old and ≥60 years old.Results:A total of 496 gene mutation sites were detected in 225 patients, with a median variant allel frequency (VAF) of 38.55% (1.00%-94.86%) and a median gene mutations of 3/case (0-8/case). The genes with high mutation frequency were ASXL1, CEBPA, NPM1, NRAS, FLT3-ITD, DNMT3A, IDH2, TET2, RUNX1, and IDH1. The gene mutation rates of TET2, SRSF2 and SF3B1 in patients aged ≥60 years old (56 cases) were higher than those in patients aged <60 years old (169 cases), and the differences were statistically significant (all P < 0.01). The proportion of patients aged ≥60 years old with 3 or more gene mutations was higher than that of patients aged <60 years old [53.6% (30/56) vs. 33.1% (56/169), χ2 = 7.44, P = 0.006]. The overall survival (OS) of patients with TP53, RUNX1 or FLT3-ITD gene mutation was worse than that of wild-type patients, the OS of patients with CEBPA double mutations was better than that of patients with CEBPA single mutation or wild-type, and the differences were statistically significant (all P < 0.05). Multivariate Cox regression analysis showed that CEBPA ( HR = 0.279, 95% CI 0.084-0.926, P = 0.037), TET2 ( HR = 2.611, 95% CI 1.115-6.111, P = 0.027) and TP53 ( HR = 3.609, 95% CI 1.159-11.234, P = 0.027) gene mutations were independent factors affecting the survival of AML patients aged <60 years old, ASXL1 ( HR = 3.523, 95% CI 1.385-8.962, P = 0.008), FLT3-ITD ( HR = 4.618, 95% CI 1.813-11.762, P = 0.001) and NRAS ( HR = 2.896, 95% CI 1.166-7.000, P = 0.022) were independent risk factors of the survival of AML patients aged ≥60 years old. Conclusions:There are differences in the distribution of gene mutations among AML patients with different age, and the elderly patients are more likely to have multiple gene mutations at the same time. In addition to the currently known CEBPA double mutations, TP53, ASXL1, RUNX1 and other gene mutations, TET2 and NRAS gene mutations may also be factors affecting the prognosis.