Della Starza Irene, Nunes Vittorio, Cavalli Marzia, De Novi Lucia Anna, Ilari Caterina, Apicella Valerio, Vitale Antonella, Testi Anna Maria, Del Giudice Ilaria, Chiaretti Sabina, Foà Robin, Guarini Anna
Department of Cellular Biotechnologies and Haematology, "Sapienza" University of Rome, Rome, Italy.
Br J Haematol. 2016 Aug;174(4):541-9. doi: 10.1111/bjh.14082. Epub 2016 May 12.
Real-time quantitative polymerase chain reaction (RQ-PCR) is a standardized tool for minimal residual disease (MRD) monitoring in acute lymphoblastic leukaemia (ALL). The applicability of this technology is limited by the need of a standard curve based on diagnostic DNA. The digital droplet PCR (ddPCR) technology has been recently applied to various medical fields, but its use in MRD monitoring is under investigation. In this study, we analysed 50 ALL cases by both methods in two phases: in the first, we established analytical parameters to investigate the applicability of this new technique; in the second, we analysed MRD levels in 141 follow-up (FU) samples to investigate the possible use of ddPCR for MRD monitoring in ALL patients. We documented that ddPCR has sensitivity and accuracy at least comparable to those of RQ-PCR. Overall, the two methods gave concordant results in 124 of the 141 analysed MRD samples (88%, P = 0·94). Discordant results were found in 12% borderline cases. The results obtained prove that ddPCR is a reliable method for MRD monitoring in ALL, with the advantage of quantifying without the need of the calibration curves. Its application in a cohort of patients with a longer FU will conclusively define its clinical predictive value.
实时定量聚合酶链反应(RQ-PCR)是用于急性淋巴细胞白血病(ALL)微小残留病(MRD)监测的标准化工具。该技术的适用性受到基于诊断性DNA的标准曲线需求的限制。数字液滴PCR(ddPCR)技术最近已应用于各个医学领域,但其在MRD监测中的应用仍在研究中。在本研究中,我们分两个阶段用这两种方法分析了50例ALL病例:第一阶段,我们建立分析参数以研究这项新技术的适用性;第二阶段,我们分析了141份随访(FU)样本中的MRD水平,以研究ddPCR在ALL患者MRD监测中的可能用途。我们记录到ddPCR的灵敏度和准确性至少与RQ-PCR相当。总体而言,在141份分析的MRD样本中,两种方法在124份样本中结果一致(88%,P = 0·94)。在12%的临界病例中发现了不一致的结果。所获得的结果证明,ddPCR是ALL中MRD监测的可靠方法,其优点是无需校准曲线即可进行定量。它在一组随访时间更长的患者中的应用将最终确定其临床预测价值。