Department of Hematology and Oncology, Children's Hospital of Nanjing Medical University, Nanjing, China.
Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China.
BMC Cancer. 2019 Jan 30;19(1):109. doi: 10.1186/s12885-019-5315-z.
MiRNAs that are potential biomarkers for predicting prognosis for acute myeloid leukemia (AML) have been identified. However, comprehensive analyses investigating the association between miRNA expression profiles and AML survival remain relatively deficient.
In the present study, we performed multivariate Cox's analysis and principal component analysis (PCA) using data from The Cancer Genome Atlas (TCGA) to identify potential molecular signatures for predicting non-M3 AML prognosis.
We found that patients who were still living were significantly younger at diagnosis than those who had died (P = 0.001). In addition, there was a marked difference in living status among different risk category groups (P = 0.022). A multivariate Cox model suggested that three miRNAs were potential biomarkers of non-M3 AML prognosis, including miR-181a-2, miR-25 and miR-362. Subsequently, PCA analyses were conducted to comprehensively represent the expression levels of these three miRNAs in each patient with a PCA value. According to the log-rank test, AML outcome for patients with lower PCA values was significantly different from those with higher PCA values (P < 0.001). Further bioinformatic analysis revealed the biological functions of the selected miRNAs.
We conducted a comprehensive analysis of TCGA non-M3 AML data, identifying three miRNAs that are significantly correlated with AML survival. PCA values for the identified miRNAs are valuable for predicting AML prognosis.
已经发现了一些可能作为急性髓系白血病（AML）预后预测生物标志物的 miRNA。然而，综合分析 miRNA 表达谱与 AML 生存之间的关联仍然相对不足。
在本研究中，我们使用来自癌症基因组图谱（TCGA）的数据进行了多变量 Cox 分析和主成分分析（PCA），以确定预测非 M3 AML 预后的潜在分子特征。
我们发现，仍存活的患者在诊断时明显比死亡的患者年轻（P=0.001）。此外，不同风险类别组之间的生存状态存在明显差异（P=0.022）。多变量 Cox 模型表明，三个 miRNA 是非 M3 AML 预后的潜在生物标志物，包括 miR-181a-2、miR-25 和 miR-362。随后，进行 PCA 分析以综合表示每个患者中这三个 miRNA 的表达水平，用 PCA 值表示。根据对数秩检验，PCA 值较低的 AML 患者的结局与 PCA 值较高的患者显著不同（P<0.001）。进一步的生物信息学分析揭示了所选 miRNA 的生物学功能。
我们对 TCGA 非 M3 AML 数据进行了全面分析，确定了三个与 AML 生存显著相关的 miRNA。鉴定出的 miRNA 的 PCA 值对于预测 AML 预后很有价值。
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