期刊导航

论文摘要

儿童急性淋巴细胞白血病中微小残留病检测的研究新进展

Advance on detection of minimal residual disease in childhood acute lymphoblastic leukemia

作者:

Author:

收稿日期:2019-12-19          年卷(期)页码:2020,43(02):93-98

期刊名称:国际输血及血液学杂志

Journal Name:International Journal of Blood Transfusion and Hematology

关键字:前体细胞淋巴母细胞白血病淋巴瘤,肿瘤,残余,流式细胞术,实时聚合酶链反应,儿童

Key words:Precursor cell lymphoblastic leukemia-lymphoma|Neoplasm, residual|Flow cytometry|Real-time polymerase chain reaction|Child

基金项目:

中文摘要

微小残留病(MRD)是急性淋巴细胞白血病(ALL)患儿最重要的预后指标。不同时间点的MRD检测结果,可提供不同临床信息。早期治疗阶段的MRD检测结果,可以反映ALL患儿的综合化疗效果,是其危险度分级的重要参考依据。目前,常用的MRD检测技术包括实时定量聚合酶链式反应技术(RQ-PCR)、多参数流式细胞术(MFC)、荧光原位杂交技术(FISH)和新技术。其中,RQ-PCR检测MRD的灵敏度较FCM高,但更为费时。临床应用中,应根据不同治疗目的,选择合适的MRD检测方法。数字微滴PCR(ddPCR)及二代基因测序(NGS)作为MRD检测的最新技术,可进一步提高MRD检测的灵敏度,在早期识别复发高风险的ALL患儿中更具优势。笔者拟就MRD与ALL患儿危险度分层诊疗的关系、MRD检测标本的选择、MRD检测方法及其选择进行阐述。

英文摘要

Minimal residual disease (MRD) is the most important prognostic predictor in children with acute lymphoblastic leukemia(ALL). MRD at different time points has different clinical significance.Results of MRD detection in the early stages treatment may reflect the overall effect of chemotherapy in children with ALL, which is an important reference basis for risk classification in the ALL chemotherapy regimen. Currently, real-time quantitative polymerase chain reaction (RQ-PCR) and multi-parameter flow cytometry (MFC), fluorescencein situhybridization (FISH) and new technologies were commonly used in MRD detection. Among them, RQ-PCR has higher sensitivity in MRD detection than FCM, but it is more time-consuming. Appropriate MRD detection methods should be selected according to different purposes in clinical application. As the latest development of MRD detection technology, digital droplet PCR (dd-PCR) and next-generation sequencing (NGS) can further improve the sensitivity of MRD detection, and have more advantages in early identification of ALL children with high risk of relapse. This article summarizes the relationship between MRD and risk stratification of ALL diagnosis and treatment, samples selection of MRD detection, MRD detection methods and its selection.

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