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首页> 外文期刊>Leukemia and lymphoma >Genomic imbalance defines three prognostic groups for risk stratification of patients with chronic lymphocytic leukemia.
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Genomic imbalance defines three prognostic groups for risk stratification of patients with chronic lymphocytic leukemia.

机译:基因组失衡为慢性淋巴细胞性白血病患者的危险分层定义了三个预后组。

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摘要

Array comparative genomic hybridization (aCGH) has yet to be fully leveraged in a prognostic setting in chronic lymphocytic leukemia (CLL). Genomic imbalance was assessed in 288 CLL specimens using a targeted array. Based on 20 aberrations in a hierarchical manner, all 228 treatment-naive specimens were classified into a group with poor outcome (20.6%) exhibiting at least one aberration that was univariately associated with adverse outcome (gain: 2p, 3q, 8q, 17q, loss: 7q, 8p, 11q, 17p, 18p), good outcome (32.5%) showing 13q14 loss without any of the other 10 aberrations (gain: 1p, 7p, 12, 18p, 18q, 19, loss: 4p, 5p, 6q, 7p) or intermediate outcome (remainder). The three groups were significantly separated with respect to time to first treatment and overall survival (p < 0.001), and validation of the stratification scheme was performed in two independent datasets. Gain of 3q and 8q, and 17p loss were determined to be independent unfavorable prognostic biomarkers. TP53, NOTCH1 and SF3B1 mutations correlated with the presence of one poor outcome aCGH marker, at a considerably higher frequency than when only considering poor risk aberrations routinely detected by fluorescence in situ hybridization (FISH). These data support genomic imbalance evaluation in CLL by aCGH to assist in risk stratification.
机译:阵列比较基因组杂交(aCGH)在慢性淋巴细胞性白血病(CLL)的预后中尚未得到充分利用。使用靶向阵列评估了288个CLL标本中的基因组失衡。根据20个像差以分级方式进行分类,将所有228个未经处理的未处理标本分为一组不良结果(20.6%),表现出至少一个与不良结果单变量相关的像差(增益:2p,3q,8q,17q,损失:7q,8p,11q,17p,18p),好结果(32.5%)显示13q14损失,而没有其他10个像差(增益:1p,7p,12、18p,18q,19,损失:4p,5p, 6q,7p)或中间结果(剩余)。三组在首次治疗时间和总生存率上有显着差异(p <0.001),并且分层方案的验证在两个独立的数据集中进行。确定3q和8q的获得以及17p的丧失是独立的不利预后生物标志物。 TP53,NOTCH1和SF3B1突变与一种不良结果aCGH标记物的存在相关,其发生频率比仅考虑通过荧光原位杂交(FISH)常规检测到的不良风险像差的频率高得多。这些数据支持aCGH在CLL中评估基因组失衡,以帮助进行风险分层。

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