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利用一组代谢生物标志物监测慢性髓性白血病患者的酪氨酸激酶抑制剂治疗反应。

Monitoring tyrosine kinase inhibitor therapeutic responses with a panel of metabolic biomarkers in chronic myeloid leukemia patients.

作者信息

Yang Bingyu, Wang Chang, Xie Yiyu, Xu Liangjing, Wu Xiaojin, Wu Depei

机构信息

Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China.

Institute of Blood and Marrow Transplantation, Suzhou, China.

出版信息

Cancer Sci. 2018 Mar;109(3):777-784. doi: 10.1111/cas.13500. Epub 2018 Feb 14.

Abstract

The aim of this study is to investigate the potential biomarkers associated with chronic myeloid leukemia (CML), reveal the metabolite changes related to the continuous phases of tyrosine kinase inhibitors (TKIs), and find the potential biomarkers associated with treatment effects. Fifty-two patients with CML and 26 matched healthy people were enrolled as the discovery set. Another 194 randomly selected CML patients treated with TKI were chosen as the external validation set. Plasma samples from the patients and controls were profiled using the gas chromatography-mass spectrometry-based metabonomic approach. Multivariate and univariate statistical analyses were combined to select the differential metabolic features. The gas chromatography-mass spectrometry-based metabolomics showed a clear clustering and separation of metabolic patterns from healthy controls and pre- and post-TKI treatment CML patients in the discovery set. We identified 9 metabolites that differentiated CML patients from healthy controls, including lactic acid, isoleucine, glycerol, glycine, myristic acid, d-sorbitol, d-galactose, d-glucose, and myo-inositol. Among the 9 markers, glycerol and myristic acid had the most significant association with TKI treatment effects in both discovery and external validation sets. In the receiver operating characteristic analysis, the combination of glycerol and myristic acid showed a better discrimination performance compared to a single biomarker. The results indicated that metabolic profiling has the potential for diagnosis of CML and the panel of biomarkers including myristic acid and glycerol could be useful in monitoring TKI therapeutic responses.

摘要

本研究的目的是探究与慢性髓性白血病(CML)相关的潜在生物标志物,揭示与酪氨酸激酶抑制剂(TKIs)连续阶段相关的代谢物变化,并找出与治疗效果相关的潜在生物标志物。52例CML患者和26例匹配的健康人被纳入发现集。另外194例随机选择的接受TKI治疗的CML患者被选为外部验证集。使用基于气相色谱-质谱的代谢组学方法对患者和对照的血浆样本进行分析。结合多变量和单变量统计分析来选择差异代谢特征。基于气相色谱-质谱的代谢组学显示,在发现集中,健康对照以及TKI治疗前后的CML患者的代谢模式有明显的聚类和分离。我们鉴定出9种可区分CML患者与健康对照的代谢物,包括乳酸、异亮氨酸、甘油、甘氨酸、肉豆蔻酸、d-山梨醇、d-半乳糖、d-葡萄糖和肌醇。在这9种标志物中,甘油和肉豆蔻酸在发现集和外部验证集中与TKI治疗效果的关联最为显著。在受试者工作特征分析中,与单一生物标志物相比,甘油和肉豆蔻酸的组合显示出更好的区分性能。结果表明,代谢谱分析具有诊断CML的潜力,包括肉豆蔻酸和甘油在内的生物标志物组合可能有助于监测TKI的治疗反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5cc/5834806/13a56ef26a4d/CAS-109-777-g001.jpg

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