The Ohio State University Comprehensive Cancer Center, Columbus, Ohio.
Alliance Statistics and Data Center, The Ohio State University, Columbus, Ohio.
Mol Cancer Ther. 2019 Aug;18(8):1451-1459. doi: 10.1158/1535-7163.MCT-18-1125. Epub 2019 Jun 4.
We have previously shown that expression levels of 48 long noncoding RNAs (lncRNA) can generate a prognostic lncRNA score that independently associates with outcome of older patients with cytogenetically normal acute myeloid leukemia (CN-AML). However, the techniques used to identify and measure prognostic lncRNAs (i.e., RNA sequencing and microarrays) are not tailored for clinical testing. Herein, we report on an assay (based on the nCounter platform) that is designed to produce targeted measurements of prognostic lncRNAs in a clinically applicable manner. We analyzed a new cohort of 76 older patients with CN-AML and found that the nCounter assay yielded reproducible measurements and that the lncRNA score retained its prognostic value; patients with high lncRNA scores had lower complete remission (CR) rates ( = 0.009; 58% vs. 87%), shorter disease-free ( = 0.05; 3-year rates: 0% vs. 21%), overall (OS; = 0.02, 3-year rates: 10% vs. 29%), and event-free survival (EFS; = 0.002, 3-year rates: 0% vs. 18%) than patients with low lncRNA scores. In multivariable analyses, the lncRNA score independently associated with CR rates ( = 0.02), OS ( = 0.02), and EFS ( = 0.02). To gain biological insights, we examined our initial cohort of 71 older patients with CN-AML, previously analyzed with RNA sequencing. Genes involved in immune response and B-cell receptor signaling were enriched in patients with high lncRNA scores. We conclude that clinically applicable lncRNA profiling is feasible and potentially useful for risk stratification of older patients with CN-AML. Furthermore, we identify potentially targetable molecular pathways that are active in the high-risk patients with high lncRNA scores.
我们之前已经证明,48 个长非编码 RNA(lncRNA)的表达水平可以生成一个独立于预后的 lncRNA 评分,与核型正常的老年急性髓细胞白血病(CN-AML)患者的预后相关。然而,用于识别和测量预后 lncRNA 的技术(即 RNA 测序和微阵列)并不适合临床检测。在此,我们报告了一种(基于 nCounter 平台)的检测方法,旨在以临床适用的方式对预后 lncRNA 进行靶向测量。我们分析了一个新的 76 例 CN-AML 老年患者队列,发现 nCounter 检测可获得可重复的测量结果,并且 lncRNA 评分保留了其预后价值;高 lncRNA 评分患者的完全缓解(CR)率较低(= 0.009;58% vs. 87%),无病(DFS;= 0.05;3 年率:0% vs. 21%)、总生存(OS;= 0.02,3 年率:10% vs. 29%)和无事件生存(EFS;= 0.002,3 年率:0% vs. 18%)都低于低 lncRNA 评分患者。在多变量分析中,lncRNA 评分与 CR 率(= 0.02)、OS(= 0.02)和 EFS(= 0.02)独立相关。为了获得生物学见解,我们检查了我们之前用 RNA 测序分析的 71 例核型正常的老年 AML 患者的初始队列。高 lncRNA 评分患者中富集了参与免疫反应和 B 细胞受体信号的基因。我们得出结论,临床适用的 lncRNA 分析是可行的,并且可能对核型正常的老年 AML 患者的风险分层有用。此外,我们确定了在高 lncRNA 评分的高危患者中活跃的潜在靶向分子途径。