[Value of SQLE Expression in Prognostic Evaluation of Patients with Acute Myeloid Leukemia]

Zhongguo Shi Yan Xue Ye Xue Za Zhi. 2021 Feb;29(1):9-16. doi: 10.19746/j.cnki.issn.1009-2137.2021.01.002.
[Article in Chinese]

Abstract

Objective: To analyze the relationship between the expression level of SQLE and the prognosis of patients with acute myeloid leukemia (AML) through large sample data.

Methods: The data of genome, transcriptome, gene chip expression, and clinical information were statistically analyzed in multiple cohorts of AML patients with large samples.

Results: It was found that the expression level of SQLE gene in tumor cells of AML patients was significantly higher than that of healthy controls (P=0.001). In the three AML corhort, the SQLE high expression group showed a worse therapeutic outcome (OS, P=0.009, P=0.0001, P=0.006; EFS, P=0.005, P=0.001). The unvariate and multivariate survival prognosis analysis indicated that the high expression of SQLE suggests lower event-free survival rate (EFS, HR=1.551, P<0.05) and overall survival rate (OS, HR=1.484, P<0.05). At the same time, it was also found that among different risk subgroups, the expression of SQLE in high risk group was higher (P<0.001, P=0.01), while the patients with high SQLE expression, who received allogeneic HSCT, had longer overall survival time (P=0.006).

Conclusion: The up-regulation SQLE expression suggests a poor prognosis for the patients with AML.

题目: SQLE基因表达水平在急性髓系白血病患者预后评估中的价值.

目的: 在大样本数据分析下确定SQLE表达水平与急性髓系白血病(AML)患者的预后关系。.

方法: 对多个含大样本白血病患者数据的队列包括基因组、转录组、基因芯片表达数据以及临床信息资料进行统计分析。.

结果: SQLE在AML患者肿瘤细胞中的表达量明显高于健康对照者(P=0.001)。在3个AML患者队列中SQLE高表达组比低表达组预后更差(OS:P=0.009,P=0.0001,P=0.006;EFS:P=0.005,P=0.001)。单因素和多因素生存预后分析结果表明,SQLE高表达提示患者较低的无事件生存率(EFS,HR=1.551, P=0.021)和总体生存率(OS,HR=1.484,P=0.035)。同 时,在不同危险分层亚组中,预后高危组中SQLE表达量更高(P<0.001,P=0.01),而对于SQLE高表达患者,行造血干细胞移植治疗可获得更好的预后(OS,P=0.006,EFS;P=0.007)。.

结论: SQLE表达上调提示AML患者预后不良。.

MeSH terms

  • Disease-Free Survival
  • Humans
  • Leukemia, Myeloid, Acute*
  • Prognosis
  • Survival Rate
  • Transcriptome