Institute of Hematology, School of Medicine, 47885Jinan University, Guangzhou, China.
66278The First People's Hospital of Foshan City, Foshan, China.
Technol Cancer Res Treat. 2021 Jan-Dec;20:15330338211052152. doi: 10.1177/15330338211052152.
Cytogenetics at diagnosis is the most important prognostic factor for adult acute myeloid leukemia (AML), but nearly 50% of AML patients who exhibit cytogenetically normal AML (CN-AML) do not undergo effective risk stratification. Therefore, the development of potential biomarkers to further define risk stratification for CN-AML patients is worth exploring. Transcriptome data from 163 cases in the GSE12417-GPL96 dataset and 104 CN-AML patient cases in the GSE71014-GPL10558 dataset were downloaded from the Gene Expression Omnibus database for overall survival (OS) analysis and validation. The combination of Wilms tumor 1 () and cluster of diffraction 58 () can predict the prognosis of CN-AML patients. High expression of and low expression of were associated with poor OS in CN-AML. Notably, when and were used to concurrently predict OS, CN-AML patients were divided into three groups: low risk, ; intermediate risk, or ; and high risk, 8. Compared with low-risk patients, intermediate- and high-risk patients had shorter survival time and worse OS. Furthermore, a nomogram model constructed with and may personalize and reveal the 1-, 2-, 3-, 4-, and 5-year OS rate of CN-AML patients. Both time-dependent receiver operating characteristics and calibration curves suggested that the nomogram model demonstrated good performance. Higher expression of with lower expression may be a potential biomarker for risk stratification of CN-AML patients. Moreover, a nomogram model constructed with and may personalize and reveal the 1-, 2-, 3-, 4-, and 5-year OS rates of CN-AML patients.
诊断时的细胞遗传学是成人急性髓细胞白血病 (AML) 的最重要预后因素,但近 50% 表现为核型正常 AML (CN-AML) 的 AML 患者未进行有效的风险分层。因此,开发潜在的生物标志物以进一步确定 CN-AML 患者的风险分层值得探索。
从基因表达综合数据库中下载了 GSE12417-GPL96 数据集的 163 例和 GSE71014-GPL10558 数据集的 104 例 CN-AML 患者的转录组数据,进行总生存期 (OS) 分析和验证。
Wilms 肿瘤 1 () 和衍射簇 58 () 的组合可以预测 CN-AML 患者的预后。CN-AML 中高表达和低表达与 OS 不良相关。值得注意的是,当同时使用和来预测 OS 时,CN-AML 患者被分为三组:低危组,;中危组,或;高危组,8。与低危患者相比,中危和高危患者的生存时间更短,OS 更差。此外,构建的列线图模型可能会使 CN-AML 患者的个性化和揭示 1、2、3、4 和 5 年 OS 率。时间依赖性接收者操作特征和校准曲线均表明该列线图模型具有良好的性能。
表达较高,表达较低可能是 CN-AML 患者风险分层的潜在生物标志物。此外,构建的列线图模型可能会使 CN-AML 患者的个性化和揭示 1、2、3、4 和 5 年 OS 率。