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用于炎症或癌症的生物标志物的血浆蛋白质组学无法预测停止酪氨酸激酶抑制剂治疗的慢性髓性白血病患者的复发情况。

Plasma proteomics of biomarkers for inflammation or cancer cannot predict relapse in chronic myeloid leukaemia patients stopping tyrosine kinase inhibitor therapy.

作者信息

Söderlund Stina, Persson Inger, Ilander Mette, Guilhot Joëlle, Hjorth-Hansen Henrik, Koskenvesa Perttu, Richter Johan, Saussele Susanne, Mustjoki Satu, Olsson-Strömberg Ulla

机构信息

Department of Medical Sciences, Uppsala University, Uppsala, Sweden; Section of Hematology, Uppsala University Hospital, Uppsala, Sweden.

Department of Statistics, Uppsala University, Uppsala, Sweden.

出版信息

Leuk Res. 2020 Mar;90:106310. doi: 10.1016/j.leukres.2020.106310. Epub 2020 Jan 23.

DOI:10.1016/j.leukres.2020.106310
PMID:32058176
Abstract

Several studies have now shown that chronic myeloid leukaemia (CML) patients in deep molecular remission may discontinue tyrosine kinase inhibitor (TKI) treatment with a treatment free remission (TFR) rate of approximately 40-60 %. Some factors influencing the possibility of TFR have been described but better tools are needed for individual prediction of long-term TFR. Herein, two multiplex panels were utilised to analyse a total of 162 different plasma proteins from 56 patients included in the TKI stopping trial EURO-SKI (Saussele et al., 2018). The purpose was to identify possible plasma protein markers for prediction of successful TKI discontinuation and to evaluate effects of TKI discontinuation on plasma protein profiles. No protein biomarkers sampled before TKI discontinuation could separate relapse cases from non-relapse cases but some plasma proteins differed between patients who relapsed and those who remained in TFR when followed over time after TKI cessation. In conclusion, the plasma protein markers in this study could not predict relapse after TKI discontinuation but may be of use to understand the mechanisms involved in maintenance of TFR.

摘要

多项研究现已表明,处于深度分子缓解期的慢性髓性白血病(CML)患者可停用酪氨酸激酶抑制剂(TKI)治疗,无治疗缓解(TFR)率约为40%-60%。虽然已描述了一些影响TFR可能性的因素,但仍需要更好的工具来对长期TFR进行个体预测。在此,利用两个多重检测板分析了TKI停药试验EURO-SKI(Saussele等人,2018年)中纳入的56例患者的总共162种不同血浆蛋白。目的是识别可能用于预测TKI停药成功的血浆蛋白标志物,并评估TKI停药对血浆蛋白谱的影响。在TKI停药前采集的蛋白生物标志物无法区分复发病例和未复发病例,但在TKI停药后随时间随访时,复发患者和维持TFR患者的一些血浆蛋白存在差异。总之,本研究中的血浆蛋白标志物无法预测TKI停药后的复发,但可能有助于理解维持TFR所涉及的机制。

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