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Plasma-based protein biomarkers can predict the risk of acute graft-versus-host disease and non-relapse mortality in patients undergoing allogeneic hematopoietic stem cell transplantation

机译:基于等离子体的蛋白质生物标志物可以预测经两种造血干细胞移植的患者急性移植物与宿主疾病和非复发性死亡的风险

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摘要

Predictive biomarkers for acute graft-versus-host disease (aGVHD) is currently lacking. In this study, we employed an unbiased proteome profiling method to prospectively collected plasma samples from allogeneic hematopoietic stem cell transplantation (alloHSCT) recipients to identify protein biomarkers that predict the risk of aGVHD and non-relapse mortality (NRM). In the discovery set, including five aGVHD patients and five controls, we identified seven candidate proteins. Patients with high levels of these proteins tended to exhibit a higher risk of aGVHD and NRM compared to patients with low levels in post-engraftment plasma samples from an independent validation set (n = 89). Tissue inhibitor of metalloproteinase 1, plastin-2, and regenerating isletderived protein 3-alpha were selected as the most-predictive biomarkers via an exhaustive variable screening algorithm and were collectively used to develop a biomarker panel score ranging from 0 to 3. The biomarker panel score correlated significantly with aGVHD and NRM risk in univariable and multivariable Cox models. Furthermore, using the biomarker panel score in conjunction with clinical predictors significantly improved the discriminatory performance of the Cox model in predicting aGVHD and NRM risk. Our findings suggest that plasma-derived protein biomarkers can be used to predict aGVHD and NRM before the onset of clinical manifestations.
机译:目前缺乏预测生物标志物(AGVHD)的急性移植物 - 宿主疾病(AGVHD)。在这项研究中,我们采用了非偏见的蛋白质组分析方法,从同种异体造血干细胞移植(ALLOHSCT)受者预期收集血浆样品,以鉴定预测AGVHD和非复发死亡率(NRM)风险的蛋白质生物标志物。在发现集合中,包括五名AGVHD患者和五种对照,我们确定了七种候选蛋白质。这些蛋白质高水平患者倾向于表现出较高的AGVHD和NRM风险,与来自独立验证组的植入后等离子体样品中较低的患者相比(n = 89)。通过详细的可变筛选算法选择金属蛋白酶1,Plastin-2和再生胰岛素3-α的组织抑制剂作为最具预测性生物标志物,并统称为开发从0到3的生物标志物面板分数。生物标志物面板在非变度和多变量的COX模型中,AGVHD和NRM风险显着关联。此外,使用与临床预测器结合的生物标志物面板得分显着改善了COX模型预测AGVHD和NRM风险的歧视性能。我们的研究结果表明,血浆衍生的蛋白质生物标志物可用于预测临床表现前的AGVHD和NRM。

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