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作 者:朱志娟[1] 陈健[1] 余梦霞[1] 陈菲菲[1] 陈志妹[1] 楼基余[1] 佟红艳[2] 黄健[2] 钱文斌[2] 孟海涛[2] 金洁[2]
机构地区:[1]浙江大学医学院附属第一医院血液病研究所,杭州310003 [2]浙江大学医学院附属第一医院血液科
出 处:《中华血液学杂志》2014年第9期802-807,共6页Chinese Journal of Hematology
摘 要:目的 探讨TET2基因表达水平在成人正常核型急性髓系白血病(CN-AML)中的临床意义.方法 实时定量PCR方法检测157例成人CN-AML患者TET2基因表达水平,并分析其临床意义.结果 CN-AML患者骨髓单个核细胞和骨髓CD34+细胞中TET2基因表达中位值均低于正常对照[7.29(3.41~9.99)对8.13(6.68~9.04),6.02(5.64~6.54)对6.48(5.97~7.12),P值分别为0.026和0.034).CN-AML患者初发时TET2基因表达水平[7.32(6.11~8.41)]明显低于其完全缓解时[8.39(7.76~8.79)](P<0.01).在157例CN-AML患者中,TET2基因低表达组18个月的总生存(OS)率[(32.7±5.9)%]明显低于高表达组[(48.6±6.9)%](P=0.041).在预后多因素分析中,TET2基因低表达是CN-AML患者OS和无事件生存的独立危险因素[风险比(HR)分别为2.032 (95%CI 1.272~3.247)和1.532 (95%CI1.014~2.314),P值分别为0.003和0.043].结论 CN-AML患者TET2基因表达水平低于正常对照,TET2基因低表达的CN-AML患者预后较差,TET2基因低表达可作为CN-AML患者预后不良指标.Objective To explore the clinical significance of ten-eleven-translocationmethylcytosine dioxygenase 2 (TET2) mRNA expression levels in adult acute myeloid leukemia patientswith normal cytogenetics (CN-AML).Methods Expression levels of TET2 mRNA were measured byreal-time PCR in 157 adult CN-AML,and its clinical impact in CN-AML was evaluated as well.ResultsTET2 gene expression levels from bone marrow mononuclear cells (BMMNCs) [7.29 (3.41-9.99)] andCD34+ cells [6.02 (5.64-6.54)] in CN-AML were significantly lower than those [BMMNCs:8.13 (6.68-9.04),P=0.026; CD34+ cells:6.48 (5.97-7.12),P=0.034] in healthy control.And TET2 mRNA level atdiagnosis [7.32 (6.11-8.41)] was obviously lower than that at complete remission [8.39 (7.76-8.79),P<0.01].CN-AML patients with lower levels of TET2 mRNA showed worse survival rate [(32.7±5.9)%] at18-month than those with higher levels [(48.6±6.9)%,P=0.041].In multivariate analysis,lower level ofTET2 mRNA was an independent prognostic factor for OS [hazard ratio (HR) 2.032,95% confidenceinterval (CI) 1.272-3.247,P=0.003]and event-free survival [HR 1.532,95% CI 1.014-2.314,P=0.043].Conclusions The level of TET2 mRNA is significantly lower in patients with CN-AML and it is anindependent negative prognostic factor.TET2 could be an important factor for the molecular-based riskstratification in CN-AML.
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