Suppr超能文献

急性移植物抗宿主病和非复发死亡率的血浆生物标志物:移植物抗宿主病发作和治疗前测量的预测价值

Plasma biomarkers of acute GVHD and nonrelapse mortality: predictive value of measurements before GVHD onset and treatment.

作者信息

McDonald George B, Tabellini Laura, Storer Barry E, Lawler Richard L, Martin Paul J, Hansen John A

机构信息

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.

出版信息

Blood. 2015 Jul 2;126(1):113-20. doi: 10.1182/blood-2015-03-636753. Epub 2015 May 18.

Abstract

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.

摘要

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。

相似文献

7
Changes in protein serum levels during stem cell transplantation.干细胞移植过程中血清蛋白水平的变化。
Eur J Clin Invest. 2017 Oct;47(10):711-718. doi: 10.1111/eci.12796. Epub 2017 Sep 5.
9

引用本文的文献

3
Deep insight into cytokine storm: from pathogenesis to treatment.深入洞察细胞因子风暴:从发病机制到治疗。
Signal Transduct Target Ther. 2025 Apr 16;10(1):112. doi: 10.1038/s41392-025-02178-y.

本文引用的文献

10
A novel soluble form of Tim-3 associated with severe graft-versus-host disease.一种新型可溶性 Tim-3 与严重移植物抗宿主病相关。
Biol Blood Marrow Transplant. 2013 Sep;19(9):1323-30. doi: 10.1016/j.bbmt.2013.06.011. Epub 2013 Jun 17.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验