The Ohio State University Comprehensive Cancer Center, Columbus OH.
Alliance Statistics and Data Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH.
Blood Adv. 2021 Mar 9;5(5):1474-1482. doi: 10.1182/bloodadvances.2020003727.
Although ∼80% of adult patients with cytogenetically normal acute myeloid leukemia (CN-AML) achieve a complete remission (CR), more than half of them relapse. Better identification of patients who are likely to relapse can help to inform clinical decisions. We performed RNA sequencing on pretreatment samples from 268 adults with de novo CN-AML who were younger than 60 years of age and achieved a CR after induction treatment with standard "7+3" chemotherapy. After filtering for genes whose expressions were associated with gene mutations known to impact outcome (ie, CEBPA, NPM1, and FLT3-internal tandem duplication [FLT3-ITD]), we identified a 10-gene signature that was strongly predictive of patient relapse (area under the receiver operating characteristics curve [AUC], 0.81). The signature consisted of 7 coding genes (GAS6, PSD3, PLCB4, DEXI, JMY, NRP1, C10orf55) and 3 long noncoding RNAs. In multivariable analysis, the 10-gene signature was strongly associated with relapse (P < .001), after adjustment for the FLT3-ITD, CEBPA, and NPM1 mutational status. Validation of the expression signature in an independent patient set from The Cancer Genome Atlas showed the signature's strong predictive value, with AUC = 0.78. Implementation of the 10-gene signature into clinical prognostic stratification could be useful for identifying patients who are likely to relapse.
尽管有 ∼80% 的细胞遗传学正常的急性髓系白血病(CN-AML)成年患者达到完全缓解(CR),但其中超过一半的患者会复发。更好地识别可能复发的患者有助于指导临床决策。我们对 268 名年龄小于 60 岁且在诱导治疗后用标准的“7+3”化疗达到 CR 的初治 CN-AML 成年患者的预处理样本进行了 RNA 测序。在筛选与已知影响预后的基因突变(即 CEBPA、NPM1 和 FLT3 内部串联重复 [FLT3-ITD])相关的基因表达后,我们确定了一个强烈预测患者复发的 10 基因特征(接受者操作特征曲线下面积 [AUC],0.81)。该特征由 7 个编码基因(GAS6、PSD3、PLCB4、DEXI、JMY、NRP1、C10orf55)和 3 个长非编码 RNA 组成。在多变量分析中,10 基因特征与复发强烈相关(P<0.001),在调整了 FLT3-ITD、CEBPA 和 NPM1 突变状态后。在癌症基因组图谱中的另一个独立患者组中验证该表达特征显示出该特征具有很强的预测价值,AUC=0.78。将 10 基因特征纳入临床预后分层可能有助于识别可能复发的患者。