For patients with normal cytogenetics (CN-AML), mutant TET2 also conferred adverse OS (HR = 1.425 P < 0.001) and EFS (HR = 1.450, P < 0.001). For patients with intermediate-risk cytogenetics (IR-AML), mutant TET2 had a significant association with adverse OS (HR = 0.474 P < 0.001). TET2 mutation was an unfavorable prognostic factor for overall survival (OS: HR = 1.386 P < 0.001) and event-free survival (EFS: HR = 1.594 P = 0.002) in patients with AML. Pooled hazard ratios (HRs) and odds ratios (ORs) were used to assess the effects of TET2 mutations. Methodsįive databases including PubMed, Cochrane, EMBase, China National Knowledge Internet (CNKI) and Wanfang database were retrieved to search studies that investigated the correlation between TET2 mutations and outcomes of AML patients. A meta analysis is needed in order to assess the prognostic significance of TET2 mutation in AML.
This meta-analysis highlighted the importance of considering the size of rainfall reductions and aridity levels when modeling and projecting soil carbon dynamics.The impact of Tet oncogene family member 2 ( TET2) mutations on the prognosis of acute myeloid leukemia (AML) is still controversial. The microbial responses to aridity levels indicated that soil carbon in humid lands may be highly susceptible to future drought scenarios. Moreover, both soil organic carbon (SOC) and soil respiration (SR) significantly declined under reduced rainfall experiments and had positive relationships with changes in total microbial biomass, especially in humid lands (AI≥ 0.65). Reductions in total microbial biomass were larger in forests with higher aridity index (AI) than in grass/shrublands with lower AI, and stronger reductions in microbial biomass were observed at higher mean annual precipitation (MAP)/sites with higher AI. Particularly, higher decreases in total microbial biomass were observed in sites where more rainfall was excluded. Further analysis showed that the direction and magnitude of total microbial biomass responses were mainly explained by the size of rainfall reductions rather than the duration. These contrasting responses suggested that rainfall reductions had major effects on total microbial biomass but minor effects on community compositions. While, within bacterial and fungal groups, rainfall reductions only significantly influenced the relative abundance of Proteobacteria, Gemmatimonadetes, and Chloroflexi, but did not affect Gram-positive bacteria (GP), Gram-negative bacteria (GN), Actinomycetes, Arbuscular mycorrhizal fungi, and other sequenced bacterial phyla. The results showed that rainfall reductions significantly decreased soil total microbial biomass and bacterial abundance, but no significant effects on fungal abundance were observed. In this study, we conducted a meta-analysis to synthesize the response of soil total microbial biomass and community composition to experimental rainfall reductions and the implications for soil carbon dynamics. However, the response of soil microbial community and their interactions with ecosystem processes remain unclear. Rainfall reductions influence ecosystem processes through impacts on the microbial community.