Comprehensive Cancer Center, Ohio State University, B324 Starling Loving Hall, 320 W. 10th Avenue, Columbus, OH 43210, USA.
Expert Rev Hematol. 2012 Oct;5(5):547-58. doi: 10.1586/ehm.12.45.
Chromosomal abnormalities are detected in 50-60% of patients with acute myeloid leukemia (AML) and are important predictors of prognosis and risk of relapse. The remaining patients, those with cytogenetically normal AML, are a seemingly homogeneous group that in fact consists of subsets of patients with distinct clinical outcomes. This heterogeneity is likely related to acquired gene mutations, as well as altered miRNA and gene-expression profiles, which occur within the group. The identification of recurrent molecular abnormalities has improved prognostication and provided insight into mechanisms of leukemogenesis for patients with cytogenetically normal AML, as well as led to the discovery of novel therapeutic targets. As the number of mutations continues to expand, bioinformatic algorithms that allow for integration of multiple markers will be necessary to provide optimal care for patients with this disease.
染色体异常在 50-60%的急性髓系白血病 (AML) 患者中被检测到,是预后和复发风险的重要预测指标。其余的患者,那些具有核型正常 AML 的患者,看似是一个同质的群体,但实际上由具有不同临床结局的患者亚群组成。这种异质性可能与获得性基因突变以及 miRNA 和基因表达谱的改变有关,这些改变发生在该组内。反复出现的分子异常的识别提高了对核型正常 AML 患者的预后预测,并深入了解了白血病发生的机制,同时也发现了新的治疗靶点。随着突变数量的不断增加,需要能够整合多个标志物的生物信息学算法,为患有这种疾病的患者提供最佳的治疗方案。