[The influence of apolipoprotein A1 on the prognosis of multiple myeloma]

Zhonghua Xue Ye Xue Za Zhi. 2020 Aug 14;41(8):675-679. doi: 10.3760/cma.j.issn.0253-2727.2020.08.011.
[Article in Chinese]

Abstract

Objective: In this study, we aimed to determine the change and clinical significance of serum level Apo A1 in MM patients. Methods: In total, 412 multiple myeloma patients were examined. SPSS 22.0 was used for data analysis. Correlation analysis was performed using linear correlation or Spearman rank correlation coefficients. Measurement data were analyzed with the t-test, Mann-Whitney U-test, or oneway analysis of variance (ANOVA) . Used the ROC curve to calculate the cutoff value and compared the OS and PFS between high Apo A1 subgroup and low Apo A1 subgroup with Kaplan-Meier survival analysis. Results: Our study showed that value of Apo A1 in the patient group was lower than that in the control group (0.89 g/L vs 1.24 g/L, P<0.05) . We found that Apo A1 dynamically changed with different MM stages. As it was increased when the disease was in remission, and decreased after disease in progression. According the result of multivariate analysis Apo A1 reduction become the independent risk factors of MM. On the basis of Kaplan-Meier survival analysis between high Apo A1 subgroup and low Apo A1 subgroup, we found higher Apo A1 patienta had longer OS rate and PFS. Conclusions: Apo A1 is a useful biomarker of tumor burden and a prognostic factor of multiple myeloma.

目的: 探讨多发性骨髓瘤患者血清载脂蛋白A1水平的变化及其临床意义。 方法: 统计412例多发性骨髓瘤患者的临床资料,以93名健康体检者为正常对照,使用SPSS 22.0进行数据分析。相关分析采用线性相关或Spearman秩相关系数。分析数据采用t检验、Mann-Whitney U检验或单因素方差分析。采用ROC曲线计算分界值,并与Kaplan-Meier生存分析进行比较。 结果: 骨髓瘤组载脂蛋白A1水平低于正常对照组(0.89 g/L对1.24 g/L,P<0.05)。载脂蛋白A1水平随疾病的不同阶段动态变化,当疾病缓解时载脂蛋白A1水平可升高,疾病进展时载脂蛋白A1水平降低。多因素分析表明载脂蛋白A1减少是多发性骨髓瘤的独立危险因素。高载脂蛋白A1组与低载脂蛋白A1组的Kaplan-Meier生存分析显示高载脂蛋白A1组有更高的生存率和更长的无进展生存期。 结论: 载脂蛋白A1是多发性骨髓瘤有效的肿瘤负荷标志物和预后因素。.

Keywords: Apolipoprotein A1; Multiple myeloma; Prognosis; Tumor burden.

MeSH terms

  • Apolipoprotein A-I
  • Biomarkers
  • Humans
  • Multiple Myeloma*
  • Prognosis
  • ROC Curve

Substances

  • Apolipoprotein A-I
  • Biomarkers