[非输血依赖性β-地中海贫血患者接受沙利度胺治疗的血液学反应预测因素]。

Kun Yang, Xiao-Lin Yin, Xiao-Dong Liu, Fang Hua, Wei Peng, Lan Li, Kun Chen, Jin Zhang, Shan Luo, Jian Xiao
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引用次数: 0

摘要

目的:探讨非输血依赖性β-地中海贫血(NTDT)对沙利度胺血液学反应的预测因素。方法:选取2016年5月至2019年6月在解放军联勤保障部队923医院接受沙利度胺治疗的33例NTDT患者为研究对象。分析患者的基本资料、血液学指标、治疗反应程度及遗传背景。结果:主要应答者(MaR)的胎儿血红蛋白(HbF)基线水平显著高于次要应答者(MiR)和无应答者(NR) (P=0.001)。治疗后HbF基线水平与血红蛋白增量呈正相关(r=0.601)。遗传背景分析显示,MaR组HBG2 rs7482144基因型CT (P=0.031)、HBS1L-MYB rs9399137基因型CT/CC (P=0.030)和次要等位基因C (P=0.015)、HBS1L-MYB rs4895440基因型AT/TT (P=0.030)和次要等位基因T (P=0.028)、HBS1L-MYB rs4895441基因型AG/GG (P=0.030)和次要等位基因G (P=0.028)的频率均显著高于MiR和NR组。比较上述指标预测主反应的ROC曲线下面积(AUC),结果显示基线HbF水平的预测值显著优于rs7482144 (0.91 vs 0.72, P=0.003)、rs9399137 (0.91 vs 0.74, P=0.022)、rs4895440 (0.91 vs 0.74, P=0.023)和rs4895441 (0.91 vs 0.74, P=0.023),但组合单核苷酸多态性(snp)之间的预测值无显著差异(0.91 vs 0.88,P=0.658)和基线HbF联合snp (0.91 vs 0.97, P=0.132)。基线HbF预测沙利度胺为主反应疗效的AUC值为0.91,临界值为27.4%,敏感性为100%,特异性为58.3% (P=0.001)。结论:NTDT对沙利度胺的血液学反应是复杂多变的。与遗传背景相比,基线HbF可能是预测疗效反应的更简单、更有效的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Predictors of Hematologic Responses in Patients with Non-Transfusion-Dependent β-Thalassemia Receiving Thalidomide Therapy].

Objective: To explore the predictors of hematologic responses of non-transfusion-dependent β-thalassemia (NTDT) to thalidomide.

Methods: 33 patients with NTDT who treated with thalidomide in the 923rd Hospital of the Joint Logistics Support Force of the People's Liberation Army from May 2016 to June 2019 were included in the study. The basic data, hematological indexes, degree of treatment response and genetic background of the patients were analyzed.

Results: The baseline fetal hemoglobin (HbF) level of main responders (MaR) was significantly higher than that of minor responders (MiR) and no responders (NR) (P=0.001). And the baseline HbF level was positively correlated with hemoglobin increment after treatment (r=0.601). Genetic background analysis showed that the frequencies of the genotype CT of HBG2 rs7482144 (P=0.031), the genotypes CT/CC (P=0.030) and the minor allele C (P=0.015) of HBS1L-MYB rs9399137, the genotypes AT/TT (P=0.030) and the minor allele T (P=0.028) of HBS1L-MYB rs4895440, the genotypes AG/GG (P=0.030) and the minor allele G (P=0.028) of HBS1L-MYB rs4895441 (P=0.030) in MaR group were significantly higher than those in MiR and NR groups. Comparing the area under the ROC curve (AUC) of the above indicators to predict the main response, the results demonstrated that the predictive value of baseline HbF level was significantly better than rs7482144 (0.91 vs 0.72, P=0.003), rs9399137 (0.91 vs 0.74, P=0.022), rs4895440 (0.91 vs 0.74, P=0.023) and rs4895441 (0.91 vs 0.74, P=0.023), but there was no significant difference in the predictive value between combined single nucleotide polymorphisms (SNPs) (0.91 vs 0.88, P=0.658)and baseline HbF combined SNPs (0.91 vs 0.97, P=0.132). The AUC value of baseline HbF predicting the efficacy of thalidomide as the main response was 0.91, the cut-off value was 27.4%, the sensitivity was 100%, and the specificity was 58.3% (P=0.001).

Conclusion: The hematologic response of NTDT to thalidomide is variable and complex. Compared to genetic background, baseline HbF may be a simpler and more efficient tool to predict efficacy response.

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