- Julie Irving1⇓,
- Jenny Jesson2,
- Paul Virgo3,
- Marian Case1,
- Lynne Minto1,
- Lisa Eyre2,
- Nigel Noel3,
- Ulrika Johansson4,
- Marion Macey4,
- Linda Knotts5,
- Margaret Helliwell6,
- Paul Davies2,
- Liam Whitby7,
- David Barnett7,
- Jeremy Hancock3,
- Nick Goulden8 and
- Sarah Lawson2
- on behalf of the UKALL Flow MRD group and UK MRD steering group
- 1 Northern Institute for Cancer Research, Newcastle upon Tyne
- 2 Birmingham Children’s Hospital, Birmingham
- 3 Southmead Hospital, Bristol
- 4 The Royal London Hospital, London
- 5 Yorkhill Children’s Hospital, Glasgow
- 6 Sheffield Children’s Hospital, Sheffield
- 7 UK NEQAS for Leucocyte Immunophenotyping, Royal Hallamshire Hospital, Sheffield
- 8 Great Ormond Street Children’s Hospital, London, UK
- Correspondence: Julie Irving, Northern Institute for Cancer Research, Paul O’Gorman Building, Framlington Place, Newcastle upon Tyne, Tyne and Wear, UK, NE2 4HH. E-mail.
Minimal residual disease detection, used for clinical management of children with acute lymphoblastic leukemia, can be performed by molecular analysis of antigen-receptor gene rearrangements or by flow cytometric analysis of aberrant immunophenotypes. For flow minimal residual disease to be incorporated into larger national and international trials, a quality assured, standardized method is needed which can be performed in a multi-center setting. We report a four color, flow cytometric protocol established and validated by the UK acute lymphoblastic leukemia Flow minimal residual disease group. Quality assurance testing gave high inter-laboratory agreement with no values differing from a median consensus value by more than one point on a logarithmic scale. Prospective screening of B-ALL patients (n=206) showed the method was applicable to 88.3% of patients. The minimal residual disease in bone marrow aspirates was quantified and compared to molecular data. The combined risk category concordance (minimal residual disease levels above or below 0.01%) was 86% (n=134). Thus, this standardized protocol is highly reproducible between laboratories, sensitive, applicable, and shows good concordance with molecular-based analysis.
The outcome for childhood acute lymphoblastic leukemia (ALL) has dramatically improved over the last 50 years with current cure rates approaching 90% and this is attributable to the introduction and gradual intensification of combination chemotherapy, with contemporary regimens involving the use of 7–8 drugs, along with improvement of prognostic factors.1 However, these data suggest that a proportion of children are likely to be over treated with current therapeutic regimens and conversely a proportion may benefit from more intensive therapy. Thus, the challenges now remaining are to further increase cure rates and to achieve this cure with the minimal chemotherapy to avoid unnecessary toxicities. This goal may be achieved by tailoring therapy to each individual patient’s risk of relapse.
Several studies have shown that minimal residual disease (MRD) status during the early stages of therapy provides prognostic information which is independent of more classic prognostic markers such as presenting white blood cell count, age, cytogenetic analyses and immunophenotype.2–9 Data from these studies was sufficiently compelling to warrant the incorporation of an MRD assessment into subsequent trials to enable risk-directed therapy, i.e. more intensive therapy for MRD positive, high-risk patients and dose reduction for good responders. At present, most trials are too immature to conclude that MRD risk-directed therapy reduces relapse rates or maintains survival rates after treatment reduction. However, early indications are promising.
The two principal methods for MRD detection in childhood ALL are the molecular analysis of B- and T-cell receptor gene rearrangements and the flow cytometric analysis of aberrant immunophenotypes, both methods being predictive of outcome. As yet, flow MRD analyses have largely been performed in single reference laboratories but to be incorporated into larger national and international trials, a quality assured, standardized method which can be performed in a multi-center setting might be preferable. In this paper, we report data from the UK Flow MRD group, a network of 6 UK laboratories, which have validated a standardized protocol for B-lineage ALL. We show that this protocol has high sensitivity and technical applicability, has good concordance with the gold standard molecular-based analysis and importantly, is highly reproducible between laboratories across different instrument platforms.
Design and Methods
Detailed methodologies are described in the Online Supplementary Appendix.
Discussion and Results
Internal and external quality assurance testing of Flow minimal residual disease
Quality assurance testing consisted of mock MRD samples being prepared with one or more known LAIPs, posted to all 6 network laboratories, and the samples were then analyzed and reported independently. Most of these were prepared by laboratories, within the network with fresh material (n=15) but more recent samples were provided by the UK National External Quality Assessment Scheme (NEQAS) who have initiated an MRD programme using mock samples prepared with fixed, stabilized material10 (n=6). In addition, list mode data files of MRD samples acquired in one center were analyzed by all network laboratories to assess gating strategies (n=2). Thus, there were a total of 23 quality assessment exercises consisting of 42 separate LAIP analyses. Figure 1 shows a scatter plot of the individual quality control values of the 6 network laboratories against the median value on logarithmic scales. All values lie within or close to one logarithm of the consensus value though increased variability is apparent at low levels below 0.1%. The inter-laboratory correlation coefficients range from 0.97 to 0.99. For each sample, the consensus risk category found by the laboratories was obtained, i.e. MRD equal or higher than 0.01% was classified as high risk. Discordance with the consensus was obtained in two samples, one where 4 out of 6 centers agreed and one with 5 out of 6 agreeing. Thus the inter-laboratory agreement on risk category compared to the consensus risk was 100% for 4 laboraties, 90% for one and 80% for another (Online Supplementary Table S2). One of these risk discordant examples, along with many of the outliers in Figure 1, occurred early on in the study period and were attributable to inappropriate gating which was subsequently standardized during group workshops. In the second, results of the same MRD sample using 2 LAIPs in duplicate (4 assays per lab) scored consistently positive in 3 laboratories and consistently negative in 2. The MRD percentage for this sample ranged from 0.004–0.02%, with a mean and standard deviation of 0.008%±0.005 and thus was a true borderline result. There were no discordant results from more recent exercises (n=15, 31 individual Flow MRD assessments, performed over a three year period, on average 4–5 per year) or with any of the stabilized NEQAS samples.
Sensitivity and variability of the standardized method
The sensitivity of the assay was assessed by spiking leukemic blasts with a known LAIP into normal bone marrow and then preparing serial dilutions down to below 0.01%. A sensitivity of at least 0.01% was confirmed for all LAIP combinations tested including CD38 (n= 3), CD45 (n= 3), CD58 (n=5) and CD66c (also known as Korsa) (n=3). Figure 2 shows representative dot plots from one of these combinations. To assess interassay variability, mock MRD replicates were labeled with 2 different LAIPs, 45/10/34/19 and 38/10/34/19 and analyzed using 2 different cytometers, a Coulter XL and a Coulter FC500. The coefficient of variation ranged from 2.2 to 4.1%, 3.14 to 5.47% and 10.21 to 13.13% for 10%, 0.5% and 0.05% MRD mocks, respectively (Online Supplementary Table S3).
Applicability of the standardized method in prospective samples
From 206 diagnostic precursor B-lineage ALL patients who were prospectively screened with the standard protocol, 182 had 2 or more sensitive LAIPs and was therefore applicable for 88.3% of patients. The most commonly identified LAIPs included CD45 and CD38, selected due to their underexpression, CD58 for overexpression, and CD66c for aberrant expression, compared to normal B-cell progenitors. A table of the LAIPs and the frequency used in the cohort of patients is shown in Online Supplementary Table S4. Of the 182 patients assessed by Flow MRD, 24.7% (n=45) were high-risk at day 28.
Comparison of minimal residual disease as measured by PCR and by flow cytometry
The current UKALL 2003 trial involves randomization based on levels of MRD, as measured by PCR of patient-specific immunoglobulin rearrangements, at two time points during treatment: day 28, at the end of remission induction and week 11, at the completion of consolidation. MRD quantification of bone marrow aspirates at these time points was performed by both PCR and flow cytometry in 134 children. Overall, 90 samples were low-risk by both methods, 25 were high risk by both, 8 were high-risk by flow but low-risk by molecular, and 11 were low-risk by flow and high-risk by molecular (Figure 3). Excluding the 90 cases below the threshold of both methods, the percentage of cases in which log PCR and log Flow MRD were within half a log was 47.6% and within one log was 76.2%. The risk category concordance was 79% at day 28 (n=91; 25 positive and 47 negative by both techniques) and 100% at week 11 (n=43; all negative) giving a combined figure of 86%. For the 25 samples which were high-risk by both methods, the relationship exhibits general proportionality with correlation, r= 0.76. Most of the 19 discordant samples were around the threshold level and for 8 of them, MRD was detectable by both techniques but did not attain the critical level of 0.01% by both assays.
Modern management of childhood ALL relies on risk stratification, individualizing treatment according to each child’s risk of relapse and MRD assessment is considered to be the most sensitive and specific predictor of relapse. While it is more commonly measured by molecular technologies, MRD analysis by flow cytometry has gained interest in recent years but to date has largely been performed in single reference laboratories. The aim of this UKALL Flow MRD Laboratory Network study was to develop and validate a common protocol for MRD detection, and the data presented here show that we have achieved a robust, quality controlled, sensitive method for MRD assessment in precursor B-cell ALL which can be replicated in a multi-center setting across different instrument and reagent platforms. It is applicable to almost 90% of children presenting with precursor B-cell ALL and shows good correlation with molecular analyses. The excellent inter-laboratory concordance for quality control exercises is attributable to all network laboratories participating in on-site training and regular workshops, accruing sufficient patient samples to maintain expertise and the availability of central data review. A recent study by Dworzak et al. also demonstrates that Flow MRD in childhood ALL can be standardized for reliable multicentric assessment.11
There are a number of advantages of quantifying MRD by flow cytometry over molecular methodologies.12–15 It is quicker, with results available within hours of sampling and cheaper, because of reduced staff costs; analysis in the UK setting, suggests that a flow assay cost may be 70% that of PCR. The potential to increase this assay from 4 to 6 colors may further improve on speed and cost. Another important benefit is that the gating out of high side scatter cells may exclude apoptotic blasts which could potentially yield false positive results by PCR. In addition, in patients from whom bone marrow samples are not available, LAIPs can still be determined in peripheral blood with low blast counts, an option not available to molecular MRD techniques. Disadvantages include possible false-negatives due to immunophenotypic modulation induced by drug therapy or due to the selection of a minor sub-population of blasts.16,17 To circumvent this, our standardized protocol does not rely on the overexpression of CD10 as a sole marker, avoids rigid gating and recommends the tracking of at least two LAIPs per patient. Flow MRD analysis with four colors cannot routinely reach the same level of sensitivity as molecular methodologies but attains the level of sensitivity required for risk strati-fication and has been shown to be predictive of outcome.
An approach taken by several groups is to use both flow and molecular methods in tandem, to ensure a MRD result for every patient.18,19 Previous studies comparing MRD as assessed by four-color flow cytometric and PCR- based methodologies have shown high concordance but have been invariably performed in an ideal fashion i.e. on the same mononuclear cell preparation.18–20 In the largest study to date, Neale et al. found a rate of concordance of 97% using a 0.01% MRD level, in a cohort of 1,300 peripheral blood and bone marrow samples.19 In our study, we also show a good concordance rate of 86%, despite the fact that the samples for the two assays were separate aliquots of a bone marrow aspirate, which were sent separately to the molecular and flow laboratories and then processed differently; mononuclear preparations for molecular and red cell lysis for flow. For approximately half of the discrepant results, MRD was detectable by both techniques but did not attain the critical level of 0.01% by both assays suggesting that this may be attributable to sample or methodological variability in borderline patients. One important observation is that 3 samples with highly discordant results and in which molecular MRD was significantly higher than flow, were classified as CD10 negative/weak. The reduced CD10 antigen expression can make gating analyses more difficult and further optimization of the standardized method may be necessary for this minor subgroup of patients. However, despite the good concordance between techniques, it does raise a clinical dilemma: for every 100 patients analyzed about 30 will be classified as high-risk by either technique but 10 of these 30 will be different children, depending on the methodology used.
Future plans for the UKALL Flow MRD network include the development of a quality assured protocol for T-lineage ALL prior to its incorporation into the next UKALL trial for newly diagnosed children where it may compliment molecular MRD detection. A valuable role of the flow method may be in the assessment of MRD at very early time points during remission induction therapy, to identify very good responders who may be candidates for early chemotherapeutic dose reduction.21,22 The method may also be informative for risk stratification in relapsed ALL and pre- and post-stem cell transplant, and may also have a role in the adult setting.23–25 A real strength of Flow MRD which has not yet been fully exploited is its capacity not only to quantify MRD but also to provide qualitative information about the residual leukemic blasts, e.g. to gain insight into in vivo drug resistance mechanisms such as expression/function of ABC transporters within the persisting leukemic cells, and would involve the expansion of this protocol from a 4 colour to a 5 or 6 colour assay. This approach may lead to therapies targeting the MRD blasts, as has been recently described by Dworzak et al., for antiCD20-directed immunotherapy,26 and may prove beneficial for MRD positive, high-risk children.
the authors would like to gratefully acknowledge the staff of the UK MRD Molecular laboratories.
The online version of this article contains a supplementary appendix.
Authorship and Disclosures
All authors performed research and/or analyzed data. JI and JJ wrote the first draft of the manuscript and all other authors critically appraised it. SL devised and together with JJ, co-ordinated the study.
The authors reported no potential conflicts of interest.
Funding: this study was funded by the Leukaemia Research Fund, the North of England Children's Cancer Research Fund, Chugai, Gilead and PACT.
- Received September 10, 2008.
- Revision received January 20, 2009.
- Accepted January 21, 2009.
- Copyright© Ferrata Storti Foundation