Detection of minimal residual disease identifies differences in treatment response between T-ALL and precursor B-ALL

Childhood acute lymphoblastic leukemia (ALL) has a B-lineage origin in approximately 85% of patients and a T-lineage origin in the remaining approximately 15% of patients.1Typical T-lineage ALL (T-ALL) is diagnosed in male adolescents and is frequently characterized by hyperleukocytosis, mediastinal mass, and central nervous system involvement.2,3 Children with T-ALL generally have a poorer prognosis than those with precursor B-lineage ALL (B-ALL).1,4 In T-ALL, the following characteristics were shown to have a negative effect on treatment outcome: patient age 15 years or older, L2 blast morphology, karyotype other than hyperdiploidy, and CD3⁺.2,3The most immature T-ALLs (CD1⁻/CD3⁻) are also associated with unfavorable outcome, whereas CD1⁺ T-ALL forms a distinct subgroup with an excellent prognosis on intensive high-risk treatment.4-7 Early in vivo response has been identified as one of the strongest prognostic factors in childhood ALL.8-12 Patients with T-ALL frequently have a poor in vivo steroid response9,12,13 and are resistant to many drugs, as demonstrated by in vitro assays.14 Nevertheless, treatment outcome has significantly improved, and the sustained relapse-free survival (RFS) rate is 60% to 70% in patients with T-ALL on intensive chemotherapy.15-17 

Individualization of ALL treatment might further improve outcome and long-term quality of life. This may be achieved through minimal residual disease (MRD) studies that allow the sensitive detection of leukemic cells undetectable by normal cytomorphologic examination, thereby providing accurate information about the in vivo efficacy of cytotoxic treatment.18,19 The most broadly applicable MRD technique in ALL is polymerase chain reaction (PCR) analysis of clone-specific immunoglobulin and T-cell receptor (TCR) gene rearrangements, which are easily identified in most pediatric and adult patients with ALL.19-21 Based on the sequences of the patient-specific junctional regions, sensitivities of 10⁻⁴to 10⁻⁵ (one leukemic cell in 10 000 to 100 000 normal cells) are reached.22 

Several large-scale studies in childhood ALL have shown that MRD analysis can predict outcome by determining the reduction of the leukemic cell burden during the first months of therapy.23-27 Multivariate analysis showed that MRD information is an important prognostic factor at all follow-up time points taken during and after treatment and that this MRD information is independent of the classical clinical parameters at diagnosis such as age, sex, white blood cell count (WBC), immunophenotype, chromosome aberrations, and prednisone response.25-27 For example, prognostically relevant subgroups such as T-ALL or ALL characterized by t(9;22), t(12,21), or t(4;11) are still heterogeneous in treatment response,2,28-31 but MRD information during treatment of these leukemia subtypes is more discriminative in predicting treatment outcome.26,32 33 

The impact of MRD information in childhood ALL appeared to be superior to classical treatment group classification at diagnosis, as was demonstrated by the study of the International BFM Study Group (I-BFM-SG). In this study, a precise risk group classification was achieved by combining sensitive (10⁻⁴ or less) MRD information of 2 follow-up time points (TP): TP1, at the end of induction treatment, and TP2, just before the start of consolidation treatment.27 Three risk groups were identified: a low-risk group consisting of 43% of the patients with MRD negativity at TP1 and TP2 and a 5-year RFS of 98%; a high-risk group of 15% of patients with high MRD levels (10⁻³ or more) at both time points and a 5-year RFS of 16%; and an intermediate-risk group consisting of the 43% remaining patients with a 5-year RFS of 76% (updated RFS data). In this risk-group classification, TP1 appeared to be particularly useful for recognizing low-risk patients and TP2 for the recognition of high-risk patients, whereas later time points (particularly TP5) provided prognostic value for further classification of intermediate-risk patients.27 The above-described MRD-based risk group classification is used for treatment stratification in childhood ALL protocols of the BFM–Associazione Italiana di Ematologia ed Oncologia Pediatrica (AIEOP) (M.S., G.M., H.G., unpublished results, July 2000).

The aim of the present MRD study was to identify the different response groups within T-ALL and to elucidate the differences in overall treatment response between T-ALL and precursor B-ALL. From the cohort of patients included in the I-BFM-SG study, we were able to analyze 71 patients with T-ALL for their MRD pattern using one or 2 TCR gene rearrangements as PCR targets. These data were used to compare the presenting features and outcomes of the 71 patients with T-ALL with those of the previously reported 210 precursor B-ALL cases.27 

Bone marrow (BM) samples at diagnosis and as many as 9 time points during follow-up were collected from patients with childhood T-ALL included in the I-BFM-SG MRD study. Follow-up time points were: TP1, at the end of induction treatment (5 weeks); TP2, before consolidation (3 months); TP3, before reinduction treatment (6 months); TP4, before maintenance treatment (9 months); TP5, at 12 months; TP6, at 15 months; TP7, at 18 months; TP8, at the end of treatment (24 months); and TP9, at 1 year off treatment (36 months) (Figure 1A).27 Mononuclear cells (MNCs) were isolated from the collected BM samples and were stored in liquid nitrogen or at −70°C for DNA extraction.

All children were treated according to protocols of the Austrian BFM Group (protocol ALL-BFM 90), the German BFM Group (protocol ALL-BFM 90), the AIEOP-ALL-91 protocol, or the Dutch Childhood Leukemia Study Group (DCLSG, protocol ALL-8).12,34,35 The 3 treatment protocols all had the same I-BFM-SG backbone. Patients with T-ALL were stratified into 2 treatment groups, medium-risk group (MRG) and high-risk group (HRG), according to the presenting features such as leukemic cell mass and prednisone response.12,34 35 All patient samples were obtained according to the informed consent guidelines of the local or national medical ethics committees.

The cohort of childhood ALL included in the I-BFM-SG MRD study from March 1991 to May 1995 (n = 625) contained 74 patients with T-ALL (12%); 30 had been previously analyzed.27 In the present study, 41 of the 44 remaining patients with T-ALL could be analyzed according to the same criteria—morphologic remission was reached at the end of induction treatment (at TP1), no BM samples were missing from more than 3 consecutive follow-up time points or from more than 4 follow-up time points in total, and at least one PCR target with a sensitivity of at least 10⁻⁴ was available for MRD detection. Of the total 71 patients with T-ALL, 24 had been treated in Germany, 20 in The Netherlands, 15 in Italy, and 12 in Austria.

The earlier analyzed group of precursor B-ALL was sufficiently large (n = 210) for the comparative T-ALL versus precursor B-ALL study and did not require the inclusion of extra patients. Five-year RFS rates of the analyzed T-ALL group (n = 71) were 60% (±6% SE) compared with 76% (±3%) in the precursor B-ALL group (Figure 1B). Survival of the T-ALL group studied is comparable to that of the total group of patients with T-ALL treated according to the same protocol.12,34 35 Patient characteristics of the 71 T-ALL and the 210 precursor B-ALL patients are given in Table1.

The junctional regions of TCR gamma (TCRG) and TCR delta (TCRD) gene rearrangements were used as patient-specific targets for PCR-based MRD detection.22,36,37 In addition, the so-calledTAL1 deletions were used as PCR targets in some patients with T-ALL.22,38 Primers and PCR protocols were as described in the report of the BIOMED-1 Concerted Action BMH-CMT 94-1675.22 Clonal rearrangements in the TCRG,TCRD, and TAL1 genes were identified by heteroduplex PCR analysis and direct sequencing of the junctional regions with standardized sets of oligonucleotide primers.22,39 Based on the sequence data of the junctional regions, patient-specific oligonucleotides were designed for each identified MRD-PCR target as described previously, using OLIGO software (W. Rychlik; Molecular Biology Insights, Cascade, CO).22 

The MRD-PCR analyses of BM samples during follow-up of the patients with T-ALL were performed as described in the earlier BIOMED-1 report.22 Briefly, single PCR amplification with the standardized primer sets of the clone-specific rearrangement using 1 μg DNA (equivalent to 10⁵-10⁶ cells) was followed by dot blotting and hybridization with the corresponding³²P-labeled, patient-specific junctional region probe. Radioactive signals were evaluated using phosphor imaging. The sensitivity of each identified MRD-PCR target was established by use of a dilution experiment, in which DNA from the leukemic cells at diagnosis was diluted in 10-fold dilution steps into control DNA from a mixture of blood MNCs of 10 different healthy donors. Preferably, 2 independent PCR targets were used per patient, of which at least one reached a sensitivity of at least 10⁻⁴.

When MRD-PCR analysis of BM follow-up samples resulted in a hybridization signal, this time point was considered to be MRD positive. Consequently, if no signal was obtained, this time point was considered MRD negative, irrespective of the PCR target sensitivity. The frequency of leukemic cells in the BM samples during follow-up was estimated by comparison of the signals with those of the 10-fold dilution samples of DNA at diagnosis. This resulted in reproducible semiquantitative estimations of MRD-PCR results of 10⁻², 10⁻³, 10⁻⁴, 10⁻⁵, and 10⁻⁶ or more. If analysis of the same BM sample with 2 independent PCR targets resulted in different MRD level estimations, we assumed the highest MRD level to be the most accurate for data analysis, because lower MRD levels might be caused by subclone formation through continuing rearrangement processes.19 27The following MRD levels were defined: high MRD levels of 10⁻² or more, intermediate MRD levels of 10⁻³, and low MRD levels of 10⁻⁴ or less. MRD-PCR results of 10⁻⁵ and 10⁻⁶ were clustered with the 10⁻⁴ results because such low MRD levels were rarely found.

Relative frequencies were compared between groups using the χ² of Fisher exact test. Between- and within-group comparisons of MRD levels were made using the Mann-Whitney Uand the Wilcoxon test, respectively. RFS according to the MRD results at the various time points was determined using Kaplan-Meier plots. Comparison of groups was performed using the log rank test or the log rank trend test for ordered groups (eg, MRD levels). Multivariate analysis of the predictive value of MRD at the various time points, allowing for different other variables (treatment group, age, sex, WBC on a continuous scale, and prednisone response) was performed using Cox regression analysis. It was further analyzed whether the prognostic effects of MRD levels differed between T-ALL and precursor B-ALL by investigating appropriate interaction terms in the regression models.P ≤ .05 was considered significant.

In 66% (47 of 71) of the patients with T-ALL, 2 PCR targets (42 patients) or 3 PCR targets (5 patients) were used for MRD detection. The remaining 34% of patients with T-ALL were analyzed by one MRD-PCR target. The 123 PCR targets used in the patients with T-ALL comprised 89 TCRG gene rearrangements, 10 incomplete TCRDgene rearrangements, 20 complete TCRD gene rearrangements, and 4 TAL1 deletions. In 76% (93 of 123) of these targets, sensitivities of at least 10⁻⁴ were reached: 58 targets had a sensitivity of 10⁻⁴, 28 targets had 10⁻⁵, and 7 targets had 10⁻⁶.

In the precursor B-ALL group, 40% (84 of 210) of patients were monitored with one MRD-PCR target and 60% (126 of 210) were monitored with 2 targets (113 patients) or 3 targets (13 patients). Use of 1, 2, or 3 MRD-PCR targets did not significantly differ between T-ALL and precursor B-ALL (P = .4).

At the time of morphologic remission (TP1), that is, at 5 weeks of treatment, 80% (43 of 54) of patients with T-ALL were still MRD positive in contrast to 54% (78 of 144) patients with precursor B-ALL. In both groups the frequency of positive patients at TP2 (just before consolidation treatment) had approximately halved compared with the frequency found at TP1: 45% (25 of 55) in the T-ALL group and 26% (40 of 156) in the precursor B-ALL group. A further decrease at later time points was similar in both groups, but the frequency of MRD-positive patients remained higher in patients with T-ALL compared with patients with precursor B-ALL until halfway through maintenance treatment (mean difference, 14% ± 13%) (Figure 2).

Not only the frequency of MRD-positive patients but also the level of MRD at the first 3 time points was significantly higher in T-ALL than in precursor B-ALL (all P ≤ .004). In both groups, the MRD levels decreased from TP1 to TP2 (P < .001). In precursor B-ALL, this reduction of MRD level was also observed from TP2 to TP3 (P < .01). Such a decrease was not clear in patients with T-ALL (P = .85), in whom most MRD levels were equal at TP2 and TP3, or when evaluated per patient (equal in 76% of patients).

MRD levels did not differ significantly between patients analyzed with one MRD-PCR target and patients with 2 or 3 MRD-PCR targets. This applied to all time points in T-ALL and precursor B-ALL.

At each follow-up time point, MRD levels were highly associated with subsequent relapse rates: the higher the MRD level, the worse the prognosis (P[trend] < .001). Patients with T-ALL (n = 15) who were MRD negative or who had low MRD levels (10⁻⁴ or lower) at TP1 had a 5-year RFS rate of 100%. The 5-year RFS rates of patients with MRD-negative precursor B-ALL at TP1 were 96% (±2%) and 74% (±8%) for patients with low MRD levels (Figure 3). High MRD levels (10⁻² or more) at TP1 resulted in a significantly lower 5-year RFS rates in T-ALL patients than in patients with precursor B-ALL—14% (±8%) and 35% (±11%), respectively (P = .04). This difference in RFS between precursor B-ALL and T-ALL was also found at TP2 for high MRD levels (P = .01) and intermediate MRD levels (10⁻³) (P = .05). At TP3, patients with MRD-negative T-ALL had a 5-year RFS rate of 97% (±3%) compared with 86% (±3%) in precursor B-ALL (not significant), and patients with MRD-positive T-ALL had a 5-year RFS rate of 22% (±8%) compared with 30% (±8%) in precursor B-ALL (not significant). From TP2 onward, the discrimination between survival of MRD-positive and MRD-negative patients was always better in patients with T-ALL than in patients with precursor B-ALL. Although apparent, these differences between T-ALL and precursor B-ALL were not always significant.

The prognostic value of MRD level differed significantly between T-ALL and precursor B-ALL at TP1 and TP2 (P = .03 andP < .01, respectively). Using Cox regression analysis, it was found that with each 10-fold decrease in MRD level at TP1 (from 10⁻² or more to 10⁻³ to 10⁻⁴ or less to negative), the relapse rate was reduced by 84% in T-ALL compared with 62% in precursor B-ALL. This difference in gradient of RFS between T-ALL and precursor B-ALL was similar at TP2: for each drop in MRD level, the relapse rate was reduced by 79% in T-ALL compared with 61% in precursor B-ALL. At both time points, the observed differences in gradient of RFS between T-ALL and precursor B-ALL were not significantly affected by WBC count at diagnosis.

The previously defined MRD-based risk group classification requires MRD information of TP1 and TP2. Patients at low risk were MRD negative at both time points, patients at high risk had MRD levels of 10⁻³ or higher at both time points, and the remaining patients formed the intermediate-risk group.27 Forty-three patients with T-ALL and 109 patients with precursor B-ALL could be analyzed at TP1 and TP2 and could consequently be classified. These patient subgroups did not differ significantly from the groups that lacked one or both time points with respect to distribution of age, sex, treatment group, and survival.

More than twice as many patients with T-ALL were classified in the MRD-based high-risk group than patients with precursor B-ALL—28% (12 of 43) versus 11% (12 of 109), respectively (P = .02). The size of the intermediate-risk group was comparable for T-ALL (49%; 21 of 43) and precursor B-ALL (43%; 47 of 109) patients. Consequently, fewer patients with T-ALL than patients with precursor B-ALL were classified at low risk: 23% of T-ALL (10 of 43) compared with 46% of precursor B-ALL (50 of 109) (P = .01). In addition, the survival rates of the corresponding risk groups were similar: 5-year RFS rates in the low-risk group were 100% for T-ALL and 98% for precursor B-ALL (P = .65). The 5-year RFS in the intermediate-risk group was 76% for T-ALL and 77% for precursor B-ALL (P = .78). A significant difference was found between the 5-year RFS rates for patients with T-ALL and patients with precursor B-ALL only in the high-risk group: 0% and 25%, respectively (P = .03) (Figure 4).

The distribution of 1 versus 2 or 3 MRD-PCR targets did not significantly differ between the MRD-based risk groups of patients with T-ALL (P = .28) and patients with precursor B-ALL (P = .27), though the numbers of patients in some subgroups were low.

Later time points may have additional value for recognizing patients at good and poor risk in the MRD-based intermediate-risk group. MRD information of the BM sample taken just before reinduction treatment (TP3) did not have a significant additional value for patients with intermediate-risk precursor B-ALL (P = .08). On the other hand, for patients with intermediate-risk T-ALL, at TP3 a significant difference in outcome was found between MRD-negative patients (n = 10, 5-year RFS of 100%) and MRD-positive patients (n = 8, 5-year RFS of 38%) (P = .004). TP4 (start of maintenance treatment) also seemed to be of additional value for the intermediate-risk T-ALL group in contrast to precursor B-ALL; MRD-negative patients with T-ALL (n = 11) had a 5-year RFS of 82%, and MRD-positive patients (n = 3) had a 5-year RFS of 0% (P = .002). As found previously, TP5 at 1 year is an interesting time point for further monitoring patients with ALL initially classified as at intermediate risk. This holds true for precursor B-ALL and for T-ALL. We found significant differences between MRD-positive and MRD-negative patients, despite low patient numbers (P < .001 for T-ALL and P = .004 for precursor B-ALL).

Because of the larger gradient of RFS according to MRD levels at TP1 and TP2 in T-ALL and the consistently lower relapse rates in the patients with MRD-negative T-ALL compared with patients with precursor B-ALL (Figure 3), one would expect it to be easier to discriminate between good and poor treatment responses in patients with T-ALL in the MRD-based intermediate-risk group. Indeed, the 10 T-ALL patients with seemingly moderate treatment responses at TP1, as defined by low or intermediate MRD levels (≤ 10⁻³) but MRD negativity at TP2, had excellent outcomes (0 of 10 relapses). The corresponding group of patients with precursor B-ALL has a relatively high relapse rate (25%; 7 of 28).

Based on immunophenotype, patients with T-ALL could be categorized as having immature CD1⁻/CD3⁻ T-ALL (n = 17), CD1⁺ T-ALL (n = 37), and mature CD1⁻/CD3⁺ T-ALL (n = 17) with 5-year RFS rates of 47%, 72%, and 41%, respectively. The 43 patients with T-ALL of the MRD-based risk group classification comprised 12 immature T-ALL, 25 CD1⁺ T-ALL, and 6 mature T-ALL. The 25 CD1⁺T-ALL patients were not randomly distributed over the MRD-based risk groups. In line with the relatively good prognosis of CD1⁺T-ALL, they represented 90% (9 of 10) of the MRD-based low-risk group and 57% (12 of 21) of the MRD-based intermediate risk group but only 33% (4 of 12) of the MRD-based high-risk group (P = .01). In addition, the 12 immature CD1⁻/CD3⁻ T-ALL were not randomly distributed over the MRD-based risk groups: no immature patients with T-ALL were classified as low risk, whereas 5 were classified as MRD-based high risk and the remaining 7 were classified as intermediate risk. Despite the low patient numbers, these findings were in line with the difference in 5-year RFS between these 2 immunophenotypic subgroups. For the small group of mature CD3⁺ T-ALL patients (n = 6), no association with MRD-based risk groups was detected.

Multivariate analysis was performed for the 71 patients with T-ALL. Simultaneous evaluation of MRD-based risk group and treatment group showed that both factors were significantly related to RFS (P < .001 and P = .03, respectively). No additional prognostic value was found for age, sex, prednisone response, and WBC count on a continuous scale, although the latter weakly correlated with the MRD-based risk group classification.

T-lineage ALL is associated with more high-risk features than precursor B-ALL.2,4 Despite the improvement in outcome by intensive chemotherapy, patients with T-ALL generally have a significantly worse RFS than patients with precursor B-ALL.1,4,12 34 This difference in outcome was reflected by the MRD pattern when studying 9 follow-up time points taken during and after treatment by sensitive PCR techniques (detection limit 10⁻⁴ or less). At most time points the frequency of MRD-positive patients and the MRD levels were higher in the T-ALL group than in the precursor B-ALL group, reflecting the more frequent resistant disease in the T-ALL group.

Recently, MRD was proven to be the most important prognostic parameter in several large prospective studies.25-27 Now we confirm that also within the relatively small subgroup of T-ALL patients, MRD is a highly relevant prognostic factor. The impact of MRD level information differed significantly between T-ALL and precursor B-ALL at early time points, TP1 and TP2. For each 10-fold decrease in MRD level, approximately 80% fewer relapses were found in T-ALL compared with approximately 60% fewer relapses in precursor B-ALL.

Our results are consistent with those of previous MRD studies in T-ALL, which showed that MRD correlated with outcome.40,41Dibenedetto et al41 found that the presence of MRD at the beginning of maintenance treatment was the strongest predictor of poor outcome. In our study MRD information at this relatively late time point was predictive. However, our semiquantitative MRD technique allowed us to discriminate between patients with good and poor prognoses at earlier time points, which is essential for early treatment stratification.

The currently applied MRD-based risk group classification in childhood ALL, which is based on the kinetics of tumor reduction during the first 3 months of treatment, was found to be valid for T-ALL as well. All patients with T-ALL who were classified in the MRD-based high-risk group subsequently relapsed. Half of the patients with T-ALL were classified as at intermediate risk with a 5-year RFS rate of 76%, and 23% of the patients with T-ALL were classified as at low risk with a 100% RFS rate. Survival in the intermediate-risk and low-risk groups was similar to that in precursor B-ALL; only survival in the high-risk group was different in T-ALL than in precursor B-ALL (0% vs 25%). The distribution of T-ALL over the MRD-based risk groups was distinct from that of precursor B-ALL (Figure 4). More than twice as many patients with T-ALL were classified in the high-risk group (28% vs 11%), but the T-ALL low-risk group was half the size of the precursor B-ALL low-risk group (23% vs 46%). Consequently, approximately half of the patients with T-ALL belonged in the intermediate-risk group. MRD monitoring at later time points (TP3, TP4, TP5) gave additional prognostic value for the patients with intermediate-risk T-ALL who were classified as good and poor risk based on the absence and presence of MRD at each time point, respectively. Further monitoring of intermediate-risk precursor B-ALL was less valuable (only TP5 gave a significant difference), probably reflecting the larger heterogeneity in this ALL subgroup.

Several BFM studies have shown the power of the initial prednisone response for recognition of many patients at high risk.8,9,12,29,42,43 However, our previous MRD study demonstrated that the prednisone response had no additional value on top of the MRD-based risk group classification.27 In addition, in this study, MRD information was a stronger prognostic factor than the prednisone response. Only 3 of 12 MRD-based high-risk precursor B-ALL patients and only 8 of 12 MRD-based high-risk T-ALL patients were predicted by poor prednisone response; all 11 patients had relapses. The other patients with poor prednisone response (n = 8) all belonged to the MRD-based intermediate-risk group, and half of them (4 of 8) had relapses.

The distribution of patients with T-ALL over the MRD-based high-risk and low-risk groups seemed straightforward, showing either a resistant MRD pattern with 100% relapses or MRD negativity at TP1 and TP2 with 0% relapses, respectively. However, 10 intermediate-risk T-ALL patients with moderate MRD levels (10⁻³ or less) at TP1 and MRD negativity at TP2 also appeared to have excellent prognoses with no relapses. These observations are in contrast to patients with precursor B-ALL; 23% of MRD-based high-risk precursor B-ALL patients are still in continuous complete remission, and moderate MRD levels (10⁻³ or lower) at TP1 followed by MRD negativity at TP2 was still associated with 25% relapses in precursor B-ALL. This significant difference in prognostic value of MRD information between T-ALL and precursor B-ALL is in line with the larger gradient of RFS according to MRD levels at TP1 and TP2 in T-ALL (Figure 3) and the consistently lower relapse rates in the MRD-negative T-ALL patients at the first 5 follow-up time points.

When the 10 intermediate-risk T-ALL patients with moderate MRD levels at TP1 and MRD negativity at TP2 were shifted to the MRD-based low-risk group, the MRD-based risk group classification further improved—46% (20 of 43) low-risk patients with 0% relapses, 26% (11 of 43) intermediate-risk patients with 45% relapses, and 28% (12 of 43) high-risk patients with 100% relapses. This remarkable separation of the 3 risk groups must be confirmed in larger series of patients with T-ALL. Nevertheless, we tried to understand the biologic significance of this observation and hypothesized that the MRD level at TP1 in patients with T-ALL might be influenced by the WBC count at diagnosis, because a good treatment response might not always result in MRD negativity at TP1 in patients with high initial WBC counts. We indeed found that the 10 T-ALL patients with MRD negativity at TP1 and TP2 had a low median WBC count of 25 × 10⁹/L, whereas the 10 patients with moderate MRD levels at TP1 (10⁻³ or less) but MRD negativity at TP2 had a higher median WBC count of 135 × 10⁹/L. This difference in WBC count was not statistically significant, possibly because of the relatively small number of patients.

Our MRD study shows that the MRD-based risk-group classification is highly valuable for T-ALL. Within 3 months of diagnosis, MRD analysis allowed the recognition of therapy-resistant T-ALL patients (28%) with poor outcomes and a substantial group of T-ALL patients (23% or even 47%) with excellent prognoses. This implies that up to 75% of patients with T-ALL might be classified as either low-risk or high-risk patients. Although the overall survival rate of T-ALL is lower than that of precursor B-ALL, still 60% to 70% of patients with T-ALL are long-term survivors.15-17 Many of these survivors can now probably be recognized as low-risk T-ALL patients. These data further support the application of MRD kinetic information for treatment stratification in childhood ALL. It should be emphasized that for this purpose the MRD techniques should reach sensitivities of at least 10⁻⁴.

Independent from prognostic parameters at diagnosis, MRD analysis provides direct insight into the in vivo drug sensitivity of ALL cells. Our study shows that this type of information allows a highly accurate prediction of outcome within the 2 major immunophenotypic ALL categories, particularly in T-ALL. It can be anticipated that sensitive MRD analysis comprises a tool to define distinct risk groups within other seemingly homogeneous prognostic categories, such as leukemias with a particular chromosomal aberration.

We thank Annemarie Wijkhuijs and Daniëlle Jacobs (Rotterdam, Netherlands), Dorothee Erz, Yvonne Stark, and Simone Busenbender (Heidelberg, Germany), and Susanna Fischer and Marianne Konrad (Vienna, Austria) for their expert technical assistance. We thank the participants of the International BFM Study Group for their close collaboration in performing the MRD study, namely the Dutch Childhood Leukemia Study Group (P.J. van Dijken, K. Hählen, W.A. Kamps, E.F. van Leeuwen, F.A.E. Nabben, A. Postma, J.A. Rammeloo, G.A.M. de Vaan, A.J.P. Veerman, E.Th. van 't Veer-Korthof, and R.S. Weening), the German BFM Group (W. Dörffel, C. Niemeyer, F. Berthold, M. Rister, A. Jobke, M. Domula, H. Wehinger, K. Hofmann, F.J. Göbel, P. Heidemann, J.D. Beck, N. Graf, U. Mittler, A. Reiter, J.D. Thaben, G. Henze, R. Dickerhoff, J. Treuner, R. Geib, P. Exadactylos, U Bode, G. Eggers, W. Schröter, and C. Tautz), the Austrian BFM Group (B. Ausserer, F.M. Fink, R. Jones, G. Mann, G. Müller, I. Mutz, R. Ploier, W. Pobegen, K. Schmitt, and O. Stöllinger), and the Italian AIEOP Group (G. Masera, V. Conter, M.G. Valsecchi, M. Aricò, E. Madon, G. Basso, E. Barisone, L. Zanesco, M.C. Putti, M.T. Di Tullio, A. Murano, P.A. Macchia, and C. Favre). We thank Dr T. Szczepański, Dr K. Hählen, and Dr T. Révèsz for critical reading of the manuscript.