Kockerols Camille C B, Valk Peter J M, Levin Mark-David, Pallisgaard Niels, Cornelissen Jan J, Westerweel Peter E
Department of Internal Medicine, Albert Schweitzer Hospital, Dordrecht, The Netherlands.
Department of Molecular Biology and Hematology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Hemasphere. 2020 Nov 24;4(6):e496. doi: 10.1097/HS9.0000000000000496. eCollection 2020 Dec.
Molecular monitoring of the transcript for patients with chronic phase chronic myeloid leukemia (CML) has become increasingly demanding. Real-time quantitative PCR (qPCR) is the routinely used method, but has limitations in quantification accuracy due to its inherent technical variation. Treatment recommendations rely on specific values set at timed response milestones, making precise measurement of a requisite. Furthermore, the sensitivity of qPCR may be insufficient to reliably quantify low levels of residual in patients in deep molecular response (DMR) who could qualify for an attempt to discontinue Tyrosine Kinase Inhibitor (TKI) therapy. We reviewed the current use of digital PCR (dPCR) as a promising alternative for response monitoring in CML. dPCR offers an absolute quantification at various disease levels with remarkable precision and a clinical sensitivity reaching down to at least MR5.0. Moreover, dPCR has been validated in multiple studies as prognostic marker for successful TKI treatment discontinuation, while this could not be achieved using classical qPCR. dPCR may thus prospectively be the preferred method to reliably identify patients achieving treatment milestones after initiation of TKI therapy as well as for the selection and timing for TKI discontinuation.
对慢性期慢性髓性白血病(CML)患者的转录本进行分子监测的要求越来越高。实时定量聚合酶链反应(qPCR)是常用的方法,但由于其固有的技术差异,在定量准确性方面存在局限性。治疗建议依赖于在特定时间的反应里程碑设定的特定值,因此精确测量是必不可少的。此外,对于可能有资格尝试停止酪氨酸激酶抑制剂(TKI)治疗的深度分子反应(DMR)患者,qPCR的灵敏度可能不足以可靠地定量低水平的残留。我们综述了数字PCR(dPCR)作为CML反应监测的一种有前景的替代方法的当前应用情况。dPCR能在不同疾病水平进行绝对定量,具有极高的精确性,临床灵敏度至少可达MR5.0。此外,dPCR在多项研究中已被验证为TKI治疗成功停药的预后标志物,而经典qPCR无法做到这一点。因此,dPCR可能前瞻性地成为可靠识别TKI治疗开始后达到治疗里程碑的患者以及选择TKI停药时机的首选方法。