McDonald George B, Tabellini Laura, Storer Barry E, Lawler Richard L, Martin Paul J, Hansen John A
Division of Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA; and Department of Medicine, and.
Division of Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA; and.
Blood. 2015 Jul 2;126(1):113-20. doi: 10.1182/blood-2015-03-636753. Epub 2015 May 18.
We identified plasma biomarkers that presaged outcomes in patients with gastrointestinal graft-versus-host disease (GVHD) by measuring 23 biomarkers in samples collected before initiation of treatment. Six analytes with the greatest accuracy in predicting grade 3-4 GVHD in the first cohort (74 patients) were then tested in a second cohort (76 patients). The same 6 analytes were also tested in samples collected at day 14 ± 3 from 167 patients free of GVHD at the time. Logistic regression and calculation of an area under a receiver-operating characteristic (ROC) curve for each analyte were used to determine associations with outcome. Best models in the GVHD onset and landmark analyses were determined by forward selection. In samples from the second cohort, collected a median of 4 days before start of treatment, levels of TIM3, IL6, and sTNFR1 had utility in predicting development of peak grade 3-4 GVHD (area under ROC curve, 0.88). Plasma ST2 and sTNFR1 predicted nonrelapse mortality within 1 year after transplantation (area under ROC curve, 0.90). In the landmark analysis, plasma TIM3 predicted subsequent grade 3-4 GVHD (area under ROC curve, 0.76). We conclude that plasma levels of TIM3, sTNFR1, ST2, and IL6 are informative in predicting more severe GVHD and nonrelapse mortality.
我们通过测量治疗开始前采集样本中的23种生物标志物,确定了可预测胃肠道移植物抗宿主病(GVHD)患者预后的血浆生物标志物。然后,在第一个队列(74例患者)中预测3-4级GVHD准确率最高的6种分析物在第二个队列(76例患者)中进行了测试。同样的6种分析物也在167例当时无GVHD的患者第14±3天采集的样本中进行了测试。使用逻辑回归和计算每个分析物的受试者操作特征(ROC)曲线下面积来确定与预后的关联。通过向前选择确定GVHD发病和标志性分析中的最佳模型。在第二个队列治疗开始前中位数4天采集的样本中,TIM3、IL6和sTNFR1水平可用于预测3-4级GVHD峰值的发生(ROC曲线下面积为0.88)。血浆ST2和sTNFR1可预测移植后1年内的非复发死亡率(ROC曲线下面积为0.90)。在标志性分析中,血浆TIM3可预测随后的3-4级GVHD(ROC曲线下面积为0.76)。我们得出结论,血浆中TIM3、sTNFR1、ST2和IL6水平有助于预测更严重的GVHD和非复发死亡率。