Suppr超能文献

基于血浆的蛋白质生物标志物可以预测接受异基因造血干细胞移植患者的急性移植物抗宿主病风险和非复发死亡率。

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.

作者信息

Shin Junghoon, Dan Kisoon, Han Dohyun, Kim Ji-Won, Kim Kyung Kon, Koh Youngil, Shin Dong-Yeop, Hong Junshik, Yoon Sung-Soo, Park Seonyang, Song Sang Hoon, Kim Inho

机构信息

Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea; Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea.

Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.

出版信息

Blood Cells Mol Dis. 2019 Feb;74:5-12. doi: 10.1016/j.bcmd.2018.10.001. Epub 2018 Oct 4.

Abstract

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 islet-derived protein 3-α 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.

摘要

目前缺乏急性移植物抗宿主病(aGVHD)的预测生物标志物。在本研究中,我们采用一种无偏倚的蛋白质组分析方法,对异基因造血干细胞移植(alloHSCT)受者前瞻性采集的血浆样本进行分析,以鉴定可预测aGVHD风险和非复发死亡率(NRM)的蛋白质生物标志物。在发现集(包括5例aGVHD患者和5例对照)中,我们鉴定出7种候选蛋白。在来自一个独立验证集(n = 89)的植入后血浆样本中,与低水平这些蛋白的患者相比,高水平这些蛋白的患者往往表现出更高的aGVHD和NRM风险。通过一种详尽的变量筛选算法,选择基质金属蛋白酶1组织抑制剂、丝束蛋白-2和再生胰岛衍生蛋白3-α作为最具预测性的生物标志物,并共同用于建立一个范围从0到3的生物标志物组合评分。在单变量和多变量Cox模型中,该生物标志物组合评分与aGVHD和NRM风险显著相关。此外,将生物标志物组合评分与临床预测指标结合使用,显著提高了Cox模型在预测aGVHD和NRM风险方面的鉴别性能。我们的研究结果表明,血浆来源的蛋白质生物标志物可用于在临床表现出现之前预测aGVHD和NRM。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验