Join the 200th Anniversary Celebration

Original Article

Measurement of Residual Leukemia during Remission in Childhood Acute Lymphoblastic Leukemia

William Mark Roberts, M.D., Zeev Estrov, M.D., Maia V. Ouspenskaia, M.S., Dennis A. Johnston, Ph.D., Kenneth L. McClain, M.D., Ph.D., and Theodore F. Zipf, Ph.D., M.D.

N Engl J Med 1997; 336:317-323January 30, 1997

Abstract

Background

Complete remission of B-precursor acute lymphoblastic leukemia (ALL) has traditionally been defined as the near absence of lymphoblasts in a light-microscopical examination of stained bone marrow smears, but a patient in remission may still harbor up to 1010 leukemia cells. We investigated whether there is a relation between the outcome of treatment and submicroscopic evidence of residual disease.

Methods

We conducted a prospective study of patients during a first clinical remission using a quantitative polymerase-chain-reaction (PCR) assay capable of detecting 1 viable leukemia cell among 200,000 normal marrow mononuclear cells and a clonogenic blast-colony assay. Bone marrow specimens from 24 children were sequentially evaluated during a five-year period, and the results were compared with the clinical outcome.

Results

Seven patients relapsed and 17 remained in remission 2 to 35 months after the completion of treatment. The levels of residual leukemia-cell DNA in the two groups were significantly different (P<0.001; 95 percent confidence interval for the difference in the mean log-transformed ratio of leukemia-cell DNA to normal bone marrow–cell DNA, 0.38 to 1.28). Autoregression analyses identified trends for individual patients that were associated with relapse. Despite continued remission in 17 patients, evidence of residual leukemia was detected by PCR in 15 and by both PCR and blast-colony assays in 7.

Conclusions

Molecular signs of residual leukemia can persist up to 35 months after the cessation of chemotherapy in children with ALL in remission. This suggests that eradication of all leukemia cells may not be a prerequisite for cure.

Media in This Article

Figure 3Residual-Disease Levels Estimated by Quantitative PCR in the Seven Patients Who Relapsed.
Figure 2Median and Quartile Distributions of Residual-Disease Levels among the 7 Patients Who Relapsed and the 17 Who Remained in Remission.
Article

Hematologic remission in acute lymphoblastic leukemia (ALL) is defined as fewer than 5 percent lymphoblasts in a light-microscopical examination of the bone marrow. However, in patients cured of childhood ALL, leukemia cells could persist even when no lymphoblasts are visible in the marrow.1 Results with sensitive methods of detecting leukemia cells support this idea. Estrov et al., using a clonogenic assay, unambiguously detected submicroscopic leukemia in bone marrow specimens from patients in remission.2 Subsequently, with polymerase-chain-reaction (PCR) amplification of rearranged sequences of the variable region of the immunoglobulin heavy-chain (IgH) gene, Yamada et al. detected occult leukemia cells after 18 months of therapy in a few patients considered to be in remission.3

The detection of residual ALL by PCR led Nizet et al.4 to pose four questions that the technique had the unique potential to answer: What is the pattern of disappearance of leukemia cells in patients with prolonged remissions? Are sequential determinations of the levels of residual leukemia-cell DNA required to determine clinical outcome, or is there a threshold level that predicts relapse? Can patients be considered cured despite the presence of persistent leukemia cells?

To answer these questions, and in so doing establish the relation between treatment outcome and submicroscopic evidence of residual disease, we initiated a prospective study of 24 children with B-precursor ALL using quantitative PCR5 and clonogenic blast-colony assays.6 We found evidence of residual leukemia in 15 of 17 patients who remained in prolonged remission after the completion of treatment.

Methods

Study Subjects

Between September 1991 and November 1993, 74 previously untreated patients with B-precursor ALL began treatment according to an institutional protocol (P89-04).7 Remission-induction therapy consisted of four weeks of treatment with vincristine, prednisone, and asparaginase. Regimens for continuation therapy consisted of combinations of methotrexate, mercaptopurine, cytarabine, etoposide, and cyclophosphamide. Intrathecal methotrexate, hydrocortisone, and cytarabine were administered weekly during induction therapy and every six weeks thereafter. Treatment was continued for 18 to 24 months after complete remission was induced. The last 25 consecutively accrued subjects in the trial were prospectively evaluated for residual leukemia, after informed consent was obtained; these 25 make up the study population for the investigation described here. The data analysis reported here was completed on April 1, 1996. The study was approved by the institutional review board of the M.D. Anderson Cancer Center.

Bone Marrow Specimens

The diagnosis was based strictly on the light-microscopical appearance of bone marrow smears, and remission was defined as a finding of less than 5 percent blasts in a cellular marrow specimen.8 Cytogenetic studies and immunophenotyping were routinely performed during the diagnostic evaluation. All diagnostic bone marrow specimens contained more than 90 percent HLA-DR+, CD19+ cells.

During clinical remission, bone marrow aspirates were obtained at the end of induction therapy and, when possible, every three months thereafter. An average of 10 ml was aspirated into a heparin-treated syringe. Mononuclear cells were isolated, and contaminating T cells and B cells with surface immunoglobulins were removed.5,6

PCR Amplification of Rearranged IgH Genes

Special precautions were taken to prevent contamination during the PCR procedures.9 The rearranged IgH gene from leukemia cells obtained at diagnosis and bone marrow samples obtained during remission was amplified by a previously described method.5,6,10 To be considered positive, a reaction had to have a band of appropriate mobility detected by ultraviolet illumination of an ethidium bromide–stained gel. As confirmation, positive bands were excised from the gel, purified, and sequenced. The use of patient-specific primers and sequencing minimized the possibility of technical artifacts.

Quantitation of Residual Disease by PCR

The amount of residual leukemia was determined with a limiting-dilution method.5 Strict adherence to this method has yielded estimates of residual disease with a standard deviation of 0.25 log10 (the ratio of leukemia-cell DNA to normal bone marrow–cell DNA); separate dilution studies with leukemia-cell DNA from patients with newly diagnosed disease5 consistently demonstrated a threshold for detection of about 5×10-6. Because there was no reliable method of quantitation during the first year of this study, stored DNA from samples taken during this period was later reanalyzed by quantitative PCR whenever possible. However, PCR results for 25 samples (12.5 percent of all samples) obtained from eight patients during the first 12 months of treatment could not be reanalyzed, so only qualitative results were recorded in these instances.

Blast-Colony Assay

The primary and self-renewal colony-culture assays, in which the leukemic nature of the cells was verified by PCR and sequencing techniques, have been reported previously.2,6 The blast-colony assay verifies the presence of viable leukemia cells in the sample but does not quantitate residual leukemia. Cells are first cultured for five to seven days before their self-renewal capability is assessed by disrupting the colonies in the initial culture and replating them.6 After a further five to seven days of incubation, individual colonies are microaspirated, and PCR amplification of the DNA from the colonies followed by sequencing is then performed. We demonstrated a high degree of correlation (P<0.001; interclass correlation coefficient, 0.46) between the results of this assay and the presence of residual disease detected by PCR in marrow samples obtained during treatment for the patients in this study.11 The false negative rate for the blast-colony assay was 22 percent in the case of residual-disease levels estimated to be less than 0.001 by PCR.

Statistical Analysis

Fisher's exact test was used to measure association and independence in contingency tables. The analysis of the length of time to relapse used standard Kaplan–Meier methods. Two-way analysis of variance for the relapse and remission groups, with time analyzed in six-month intervals, was performed on both the DNA ratio (ratio of leukemia-cell DNA to normal bone marrow–cell DNA) ranked in order from lowest to highest and the log-transformed DNA ratio. Residual-disease trends were analyzed with autoregression models that estimated the upper bounds of the 95 percent tolerance intervals from a minimum of the first three or four measurements, against which subsequent levels measured during remission were compared.12 Levels measured during remission that exceeded these estimates were considered to indicate positive trends; patients were excluded from the analysis if these levels were recorded at the time of clinical relapse. Therefore, prediction of relapse necessitated at least one measurement of these levels during remission in addition to the initial three or four measurements required to calculate either a moving average or moving-line comparison. Since the level of detection was finite, we were unable rigorously to define a nadir or mean value at all time points. However, for trend analyses, levels below the threshold of detection were assigned a ratio of leukemia-cell DNA to normal bone marrow–cell DNA of 2.5×10-6.

Results

Study Population

On the basis of their age and white-cell count at diagnosis, 15 patients treated according to protocol P89-04 were at standard risk for relapse, 7 were at intermediate risk, and 3 were at high risk, according to the prognostic factors identified by Smith et al.13 None of the patients were infants, and none had (4;11), (9;22), or (1;19) chromosomal translocations. Patient 7 was lost to follow-up after nine months of treatment and therefore could not be evaluated. Figure 1Figure 1Kaplan–Meier Plot of Disease-free Survival, Measured from the Day of Diagnosis, in 24 Children with B-Precursor ALL Treated According to Protocol P89-04 Who Were Evaluated for Submicroscopic Residual Disease. shows disease-free survival for the remaining 24 patients. The ages and white-cell counts of the other 49 patients with B-precursor ALL treated according to the protocol were similar to those of the study group, and the rate of disease-free survival for all 74 subjects was 67 percent (95 percent confidence interval, 55 to 79 percent) at 36 months and 59 percent (95 percent confidence interval, 44 to 74 percent) at 48 months.

Detection of Residual Leukemia by PCR

PCR amplification of DNA from diagnostic bone marrow samples yielded at least one band in each case, corresponding to the product of 300 to 400 bp expected from rearrangements of the IgH gene. Thirteen patients had a single rearrangement of IgH, nine had two rearrangements, and two had three rearrangements. We designed patient-specific primers and amplified all the leukemia-specific rearrangements in the DNA from bone marrow specimens obtained from each patient during remission. During sequential monitoring, changes in the sequence of the leukemia-specific rearrangements were detected in three patients by sequencing the DNA isolated from leukemia-cell colonies grown in the blast-colony assay. PCR failed to amplify rearranged IgH sequences for only one eligible patient whose leukemia cells had an IgH rearrangement that was detectable by Southern blot analysis.

As additional controls for the PCR, the patient-specific primers for the index patients were used in PCR analyses of DNA from bone marrow samples obtained at diagnosis from other patients with similar rearrangements of IgH; conversely, the patient-specific primers from these other patients were mixed with DNA from the bone marrow sample obtained at diagnosis from each of the index patients. No amplification was observed in any of these experiments, not even in cases in which there was a high degree of homology (e.g., >80 percent) between the rearranged IgH sequences.

Residual Disease and Clinical Outcome

Seven patients relapsed: five had relapses in bone marrow, one had a relapse in the central nervous system with a simultaneous finding of 8 to 17 percent lymphoblasts in the marrow (morphologic estimates), and one had a relapse in both these sites with more than 90 percent blasts in the marrow. Two of the five (Patients 4 and 10) with isolated bone marrow involvement relapsed while receiving treatment, whereas the other three (Patients 2, 6, and 19) relapsed after the cessation of therapy. The two cases of relapse in the central nervous system with bone marrow involvement (in Patients 1 and 23) occurred after the completion of treatment. The risk of relapse for these seven patients was initially classified as standard in four, intermediate in two, and high in one.

For the 17 patients who remained in complete remission, the median follow-up period was 45 months (range, 31 to 56). Treatment was terminated at 20 months in one patient, whereas the others received 25 months of chemotherapy. The median follow-up after the completion of treatment was 19 months (range, 2 to 35); 14 patients remained without therapy during follow-up for more than 1 year.

When the two groups (the patients with relapse and those in continued remission) were compared by two-way analysis of variance that adjusted for the effect of time, the levels of residual leukemia-cell DNA, as determined by quantitative PCR, were significantly higher among patients who relapsed (P<0.001) (Figure 2Figure 2Median and Quartile Distributions of Residual-Disease Levels among the 7 Patients Who Relapsed and the 17 Who Remained in Remission.). For the 17 patients who remained in remission, the fraction of positive samples and the median level of residual leukemia-cell DNA were lowest at 15 and 21 months; however, half the samples were positive during these periods (Figure 2). The estimated mean level of residual leukemia-cell DNA at any specific time was not significantly associated with the probability of relapse (data not shown).

The levels of residual leukemia-cell DNA over time for the seven patients who relapsed are shown in Figure 3Figure 3Residual-Disease Levels Estimated by Quantitative PCR in the Seven Patients Who Relapsed.. Since results from single time points were not predictive of relapse, we sought trends (i.e., successive changes in the levels of leukemia-cell DNA) that were significantly associated with relapse. Twelve- and 20-fold increases in the levels between successive determinations were not specific for relapse, although all seven patients had 12-fold increases. These increases preceded the clinical diagnosis of relapse by four to nine months. We used autoregression analyses to improve specificity, and the best results were obtained with moving-line models.12 A moving-line analysis fits previous measurements to a straight line that is extended to project the next data point. A value that exceeds the 95 percent tolerance interval is considered significant. With the moving-line analyses, the sensitivity increased to 1.00 when at least four measurements were required to test a fifth or subsequent determination; however, the number of patients who relapsed and could be analyzed by this method decreased to four. The model that included at least four data points was the most sensitive and specific and predicted clinical outcome at a statistically significant level. Figure 4AFigure 4Examples of Autoregression Analysis with a Moving-Line Model and Four or More Data Points. and Figure 4B shows two examples of moving-line autoregression analysis.

Presence of Residual Disease after the Completion of Treatment

Fifteen of the 17 patients who remained in remission and all 5 who relapsed after the completion of treatment had residual leukemia-cell DNA detected by PCR. In all 15 who remained in remission, at least the last sample was positive. In all but 3 of the 20 with positive PCR results, the results were positive in two or more marrow samples. The two patients in whom the PCR assay was negative had two and five negative samples.

Sufficient marrow cells obtained during remission were available to perform the blast-colony assay in 12 of the 15 patients with positive PCR results who remained in remission and 4 of the 5 patients who relapsed after the completion of therapy. A positive result was defined as one in which PCR amplification and sequencing of the DNA from the colonies revealed the IgH rearrangement of the leukemia clone. The assay was positive for all 4 of those who relapsed, and it was positive in at least one sample from 7 of the 12 patients who remained in remission. In the five patients with discordant results, the residual disease levels estimated by PCR were always less than 0.001. The blast-colony assay was negative in both patients with negative PCR results. Table 1Table 1Results of Blast-Colony Assay and PCR from the Same Sample after the Completion of Therapy. presents the results of the blast-colony and PCR assays of the 41 paired specimens obtained after the completion of therapy.

Discussion

In this prospective study we used specific and quantitative PCR and clonogenic blast-colony assays to detect residual leukemia-cell DNA in 24 children with ALL who had undergone intensive chemotherapy. In patients who remained in remission, the PCR-assay values generally declined to the lowest levels during the second year of treatment (Figure 2). However, only half the samples during this period tested negative by the PCR assay. We found evidence of residual leukemia in a substantially higher percentage of patients at all times after diagnosis than reported in previous studies.14,15 Two important technical factors can explain this difference. First, we used fresh, viable, purified bone marrow cells for every assay. Second, the sensitivity of our PCR was consistently greater than the ratio of leukemia-cell DNA to normal bone marrow–cell DNA of 0.001 to 0.00001 reported in the other studies; this was achieved with replicate PCR amplifications that used a minimum of 10 μg of DNA, roughly equivalent to 2 million cells. We took extensive precautions to avoid false positive PCR results. All PCR products were sequenced to verify that the leukemia-associated IgH rearrangement was amplified; we detected no cross-contamination of specimens or reagents; and the results of the PCR correlated significantly with those of a clonogenic blast-colony assay.11 The PCR results showed a characteristic pattern of increasing levels of residual disease in patients who relapsed, which suggests that viable cells, and not dead or dying leukemia cells, were detected by the assay.

In the 24 patients we studied, sequential determinations of residual leukemia were used to predict the clinical outcome. We could not identify a threshold value in the PCR assay that was uniformly associated with relapse. Indeed, two patients in extended remission consistently had ratios of leukemia-cell DNA to normal bone marrow–cell DNA that exceeded 0.001. A threshold may not have been detected in the first months after diagnosis because of the small number of measurements made during this period. Autoregression analyses showed a trend for increasing levels of residual leukemia-cell DNA to be significantly associated with relapse. This positive trend was present before relapse whether the patients were receiving treatment or had completed therapy, and whether they had bone marrow or central nervous system recurrences. When four determinations were required to evaluate subsequent residual-disease trends, three of seven patients who relapsed could not be evaluated, in part because of a paucity of measurements made in these patients during the first year of the study. The sensitivity of 1.00 in the case of the other 4 relapses and the specificity of 0.88 in the case of the 17 patients who remained in remission suggest that it is possible to predict the likelihood of relapse in individual patients. Testing this hypothesis will require a large prospective study with samples taken at regular intervals. We calculate that analyses of samples obtained at the end of induction therapy and every three months thereafter could predict 90 percent of relapses that occur more than one year after diagnosis in patients treated according to current protocols.

Previous investigations have generally failed to detect residual disease by PCR after the scheduled discontinuation of therapy, except in patients who relapsed quickly.16-18 These results might mean that cure and eradication of leukemia cells are synonymous, since the probability of cure for patients in remission at the end of treatment exceeds 75 percent. However, our results indicate that cure and the absence of leukemia cells may not be synonymous. We detected evidence of persistent residual disease by PCR in 15 of 17 patients who remained in remission between 2 and 35 months after the cessation of therapy. The expected number of future relapses for the 15 patients with positive PCR results, estimated from the disease-free survival rate for all 74 patients treated according to the P89-04 protocol, is 1 (95 percent confidence interval, 0 to 5). In 7 of these 15 patients, each of whom had completed treatment 1.3 to 2.9 years earlier (median, 1.6), the presence of occult leukemia was verified independently by the blast-colony assay. The established relapse rate for these seven patients is 10 to 20 percent1,19; the probability that all seven will relapse is 1 in 100,000 to 1 in 10 million. Our previous comparison of PCR and blast-colony assays showed that the probability of seven or more simultaneous false positive results from both assays is less than 1 in 10 million.

Taken together, our results challenge the dogma about the nature of cure, which is based on animal models of leukemia.20 Our data imply that more than 10,000 leukemia cells may persist in a patient who remains in long-term remission (the approximate equivalent for the threshold of PCR positivity)21 and that the cure of ALL may not require the elimination of all leukemia cells. Nizet et al.22 and Wu et al.23 found that only two of five and three of nine patients, respectively, with residual disease at the end of two years of treatment relapsed, but their follow-up was limited and the sample size was small.

For leukemias other than ALL, persistently positive PCR assays have been associated with relapse. However, residual disease has been observed in patients with t(8;21) acute myelogenous leukemia in long-term remission.24,25 Jurlander et al. have recently reported the persistence of the AML1–ETO fusion transcript after allogeneic bone marrow transplantation and speculate that the quantitative analysis of this t(8;21) transcript on sequential bone marrow specimens will be necessary to determine its predictive value.26 We speculate that chemotherapy may “cure” patients with some forms of acute leukemia by effects other than those directly related to chemotherapy. Our data support those of Gale and Butturini,27 who suggest that since maintenance chemotherapy does not eliminate all remaining leukemia cells, other processes could control the accumulation of these cells. These may include modifications to the program controlling the growth of leukemia cells, altered immune surveillance, or the interaction of the malignant cells with the microenvironment of normal bone marrow.28 The identification of HLA-unrestricted cytotoxic T-cell clones specific for lymphoblasts suggests that the immune system can destroy ALL cells.29 Further investigations of residual ALL at the end of treatment may allow a resolution of these issues.

Supported by grants (CA01546 and CA16672) from the National Cancer Institute, by a grant (CH531) from the American Cancer Society, by grants from the National Childhood Cancer Foundation and the Leukemia Research Foundation, and by the Kelsie Margaret Kana and Ruth Harriet Ainsworth funds.

We are indebted to Mr. Viktor Papusha, Mr. Edd Felix, Mr. David Harris, and Ms. Quin Van for excellent technical assistance; to Ms. Ank Vriesendorp for review of the clinical data; to Mr. Mark Brandt and Ms. Rosalind Alexander for typing the manuscript; to our colleagues who collected samples from the patients; to Dr. Donald Pinkel for efforts in initiating and supporting this work and for his critical comments on the paper; to Dr. Emil J. Freireich for his ongoing support of this project; and to Mr. Walter Pagel for providing pertinent critical comments and excellent editing throughout the stages of development of the manuscript.

Source Information

From the Division of Pediatrics (W.M.R., M.V.O., T.F.Z.), the Department of Bioimmunotherapy, Division of Medicine (Z.E.), and the Department of Biomathematics (D.A.J.), University of Texas M.D. Anderson Cancer Center, Houston; and Texas Children's Cancer Center and Hematology Service, Baylor College of Medicine, Houston (K.L.M.).

Address reprint requests to Dr. Zipf at the Division of Pediatrics, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd., Box 087, Houston, TX 77030.

References

References

  1. 1

    George SL, Aur RJA, Mauer AM, Simone JV. A reappraisal of the results of stopping therapy in childhood leukemia. N Engl J Med 1979;300:269-273
    Full Text | Web of Science | Medline

  2. 2

    Estrov Z, Grunberger T, Dube ID, Wang Y-P, Freedman MH. Detection of residual acute lymphoblastic leukemia cells in cultures of bone marrow obtained during remission. N Engl J Med 1986;315:538-542
    Full Text | Web of Science | Medline

  3. 3

    Yamada M, Wasserman R, Lange B, Reichard BA, Womer RB, Rovera G. Minimal residual disease in childhood B-lineage lymphoblastic leukemia: persistence of leukemic cells during the first 18 months of treatment. N Engl J Med 1990;323:448-455
    Full Text | Web of Science | Medline

  4. 4

    Nizet Y, Martiat P, Vaerman JL, et al. Follow-up of residual disease (MRD) in B lineage acute leukemias using a simplified PCR strategy: evolution of MRD rather than its detection is correlated with clinical outcome. Br J Haematol 1991;79:205-210
    CrossRef | Web of Science | Medline

  5. 5

    Ouspenskaia MV, Johnston DA, Roberts WM, Estrov Z, Zipf TF. Accurate quantitation of residual B-precursor acute lymphoblastic leukemia by limiting dilution and a PCR-based detection system: a description of the method and the principles involved. Leukemia 1995;9:321-328
    Web of Science | Medline

  6. 6

    Estrov Z, Ouspenskaia MV, Felix EA, et al. Persistence of self-renewing leukemia cell progenitors during remission in children with B-precursor acute lymphoblastic leukemia. Leukemia 1994;8:46-52
    Web of Science | Medline

  7. 7

    Pinkel D, Lockhart S, Mullins J, Ramirez I, Zipf T. Species-specific therapy of childhood acute lymphoid leukemia. Proc Am Assoc Cancer Res 1992;33:211-211 abstract.

  8. 8

    Bennett JM, Catovsky D, Daniel MT, et al. The morphological classification of acute lymphoblastic leukemia: concordance among observers and clinical correlations. Br J Haematol 1981;47:553-561
    CrossRef | Web of Science | Medline

  9. 9

    Kwok S, Higuchi R. Avoiding false positives with PCR. Nature 1989;339:237-238[Erratum, Nature 1989;339:490.]
    CrossRef | Web of Science | Medline

  10. 10

    Deane M, Norton JD. Immunoglobulin heavy chain variable region family usage is independent of tumor cell phenotype in human B lineage leukemias. Eur J Immunol 1990;20:2209-2217
    CrossRef | Web of Science | Medline

  11. 11

    Roberts WM, Zipf TF, Kitchingman GR, Tubergen DG, Estrov Z. Monitoring residual disease in acute lymphoblastic leukemia: therapeutic implications. Cytokines Mol Ther 1995;1:65-69
    Medline

  12. 12

    Shahangian S, Fritsche HA Jr, Hughes JI, Johnston DA. Methods for determining “reference changes“ from serial measurements: plasma lipid-bound sialic acid. Clin Chem 1989;35:972-974
    Web of Science | Medline

  13. 13

    Smith MS, Arthur DA, Camitta BC, et al. Uniform approach to risk classification and treatment assignment for children with acute lymphoblastic leukemia. J Clin Oncol 1996;14:18-24
    Web of Science | Medline

  14. 14

    Roberts WM, Estrov Z, Kitchingman GR, Zipf TF. The clinical significance of residual disease in childhood acute lymphoblastic leukemia as detected by polymerase chain reaction amplification by antigen-receptor gene sequences. Leuk Lymphoma 1996;20:181-197
    CrossRef | Web of Science | Medline

  15. 15

    Campana D, Pui C-H. Detection of minimal residual disease in acute leukemia: methodologic advances and clinical significance. Blood 1995;85:1416-1434
    Web of Science | Medline

  16. 16

    Ito Y, Wasserman R, Galili N, et al. Molecular residual disease status at the end of chemotherapy fails to predict subsequent relapse in children with B-lineage acute lymphoblastic leukemia. J Clin Oncol 1993;11:546-553
    Web of Science | Medline

  17. 17

    Bartram CR. Detection of minimal residual leukemia by the polymerase chain reaction: potential implications for therapy. Clin Chim Acta 1993;217:75-83
    CrossRef | Web of Science | Medline

  18. 18

    Potter MN, Steward CG, Oakhill A. The significance of detection of minimal residual disease in childhood acute lymphoblastic leukaemia. Br J Haematol 1993;83:412-418
    CrossRef | Web of Science | Medline

  19. 19

    Pui C-H, Dodge RK, Look AT, et al. Risk of adverse events in children completing treatment for acute lymphoblastic leukemia: St Jude total therapy studies VIII, IX, X. J Clin Oncol 1991;9:1341-1347
    Web of Science | Medline

  20. 20

    Skipper HE, Schabel FM Jr, Wilcox WS. Experimental evaluation of potential anticancer agents. XIII. On the criteria and kinetics associated with “curability“ of experimental leukemia. Cancer Chemother Rep 1964;35:1-111
    Medline

  21. 21

    Ito Y, Miyamura K. Clinical significance of minimal residual disease in leukemia detected by polymerase chain reaction: is molecular remission a milestone for achieving a cure? Leuk Lymphoma 1994;16:57-64
    CrossRef | Web of Science | Medline

  22. 22

    Nizet Y, Van Daele S, Lewalle P, et al. Long-term follow-up of residual disease in acute lymphoblastic leukemia patients in complete remission using clonogenic IgH probes and the polymerase chain reaction. Blood 1993;82:1618-1625
    Web of Science | Medline

  23. 23

    Wu N-H, Lu S-G, Zhu P, Peng Y-Y. Detection of minimal residual disease in childhood acute lymphoblastic leukemia after termination of therapy. Pediatr Hematol Oncol 1996;13:257-263
    CrossRef | Web of Science | Medline

  24. 24

    Chang K-S, Fan Y-H, Stass SA, et al. Expression of AML1-ETO fusion transcripts and detection of minimal residual disease in t(8;21)-positive acute myeloid leukemia. Oncogene 1993;8:983-988
    Web of Science | Medline

  25. 25

    Nucifora G, Larson RA, Rowley JD. Persistence of the 8;21 translocation in patients with acute myeloid leukemia type M2 in long-term remission. Blood 1993;82:712-715
    Web of Science | Medline

  26. 26

    Jurlander J, Caligiuri M, Ruutu T, et al. Persistence of the AML/ETO fusion transcript in patients treated with allogeneic bone marrow transplantation for t(8;21) leukemia. Blood 1996;88:2183-2191
    Web of Science | Medline

  27. 27

    Gale RP, Butturini A. Maintenance chemotherapy and cure of childhood acute lymphoblastic leukaemia. Lancet 1991;338:1315-1318
    CrossRef | Web of Science | Medline

  28. 28

    Bradstock KF, Gottlieb DJ. Interaction of acute leukemia cells with the bone marrow microenvironment: implications for control of minimal residual disease. Leuk Lymphoma 1995;18:1-16
    CrossRef | Web of Science | Medline

  29. 29

    Montagna D, Arico M, Montini E, De Benedetti F, Maccario R. Identification of HLA-unrestricted CD8+/CD28- cytotoxic T-cell clones specific for leukemic blasts in children with acute leukemia. Cancer Res 1995;55:3835-3839
    Web of Science | Medline

Citing Articles (76)

Citing Articles

  1. 1

    Wei-Gang Tong, Zeev Estrov, Yongtao Wang, Susan O’Brien, Stefan Faderl, David M. Harris, Quin Pham, Inbal Hazan-Halevy, Zhiming Liu, Patricia Koch, Hagop Kantarjian, Michael J. Keating, Alessandra Ferrajoli. (2011) The synthetic heat shock protein 90 (Hsp90) inhibitor EC141 induces degradation of Bcr-Abl p190 protein and apoptosis of Ph-positive acute lymphoblastic leukemia cells. Investigational New Drugs 29:6, 1206-1212
    CrossRef

  2. 2

    Juliana Godoy Assumpção, Mônica Aparecida Ganazza, Marcela de Araújo, Ariosto Siqueira Silva, Carlos Alberto Scrideli, Silvia Regina Brandalise, José Andrés Yunes. (2010) Detection of clonal immunoglobulin and T-cell receptor gene rearrangements in childhood acute lymphoblastic leukemia using a low-cost PCR strategy. Pediatric Blood & Cancer 55:7, 1278-1286
    CrossRef

  3. 3

    Katerina Katsibardi, Maria A. Moschovi, Maria Braoudaki, Stefanos I. Papadhimitriou, Chrissa Papathanasiou, Fotini Tzortzatou-Stathopoulou. (2010) Sequential monitoring of minimal residual disease in acute lymphoblastic leukemia: 7-year experience in a pediatric hematology/oncology unit. Leukemia & Lymphoma 51:5, 846-852
    CrossRef

  4. 4

    Atsutoshi Tsuji, Michiko Sasaki, Toru Ishii, Seiji Sato, Hideaki Kanki, Satoru Suzuki, Shigeyuki Takeuchi, Toyoki Fukuda. (2010) Persistent Eosinophilic Infiltration of the Myocardium in a Child in Complete Remission of Acute Lymphoblastic Leukemia and Eosinophilia. Potential Role in Late Cardiac Disease?. The Keio Journal of Medicine 59:2, 64-68
    CrossRef

  5. 5

    Zeev Estrov. (2009) Stem Cells and Somatic Cells: Reprogramming and Plasticity. Clinical Lymphoma, Myeloma & Leukemia 9:0, S319-S328
    CrossRef

  6. 6

    B QUESNEL. (2008) Dormant tumor cells as a therapeutic target?. Cancer Letters 267:1, 10-17
    CrossRef

  7. 7

    Motoi Maeda, Teruhisa Otsuka, Nobuhiro Kimura, Tomoko Kozu, Tomofusa Fukuyama, Naoyuki Uchida, Yasuhiro Sugio, Yoshikiyo Itoh, Tadafumi Iino, Shoichi Inaba, Yoshiyuki Niho. (2008) Induction of MTG8-specific cytotoxic T-cell lines: MTG8 is probably a tumour antigen that is recognized by cytotoxic T cells in AML1-MTG8-fused gene-positive acute myelogenous leukaemia. British Journal of Haematology 111:2, 570
    CrossRef

  8. 8

    Barton Kenney, Arthur Zieske, Henry Rinder, Brian Smith. (2008) DNA ploidy analysis as an adjunct for the detection of relapse in B-lineage acute lymphoblastic leukemia. Leukemia & Lymphoma 49:1, 42-48
    CrossRef

  9. 9

    Julio A. Aguirre-Ghiso. (2007) Models, mechanisms and clinical evidence for cancer dormancy. Nature Reviews Cancer 7:11, 834-846
    CrossRef

  10. 10

    J. Zhou, M. A Goldwasser, A. Li, S. E. Dahlberg, D. Neuberg, H. Wang, V. Dalton, K. D McBride, S. E. Sallan, L. B Silverman, J. G. Gribben, . (2007) Quantitative analysis of minimal residual disease predicts relapse in children with B-lineage acute lymphoblastic leukemia in DFCI ALL Consortium Protocol 95-01. Blood 110:5, 1607-1611
    CrossRef

  11. 11

    Bruno Quesnel. (2006) Cancer vaccines and tumor dormancy: a long-term struggle between host antitumor immunity and persistent cancer cells?. Expert Review of Vaccines 5:6, 773-781
    CrossRef

  12. 12

    N.-G. Chung, V. Buxhofer-Ausch, J. P. Radich. (2006) The detection and significance of minimal residual disease in acute and chronic leukemia. Tissue Antigens 68:5, 371-385
    CrossRef

  13. 13

    D E Foliart, B H Pollock, G Mezei, R Iriye, J M Silva, K L Ebi, L Kheifets, M P Link, R Kavet. (2006) Magnetic field exposure and long-term survival among children with leukaemia. British Journal of Cancer 94:1, 161-164
    CrossRef

  14. 14

    Kevin J. Maher, Mary Ann Fletcher. (2005) Quantitative flow cytometry in the clinical laboratory. Clinical and Applied Immunology Reviews 5:6, 353-372
    CrossRef

  15. 15

    Wolfgang Kern, Claudia Schoch, Torsten Haferlach, Susanne Schnittger. (2005) Monitoring of minimal residual disease in acute myeloid leukemia. Critical Reviews in Oncology/Hematology 56:2, 283-309
    CrossRef

  16. 16

    Wolfgang Kern, Susanne Schnittger. (2005) Monitoring of minimal residual disease in acute myeloid leukemia Monitorisierung minimaler Resterkrankung bei akuter myeloischer Leukämie. LaboratoriumsMedizin 29:5, 343-367
    CrossRef

  17. 17

    Renato Bassan, Gemma Gatta, Carlo Tondini, Roel Willemze. (2004) Adult acute lymphoblastic leukaemia. Critical Reviews in Oncology/Hematology 50:3, 223-261
    CrossRef

  18. 18

    Mark R Litzow. (2004) The therapy of relapsed acute leukaemia in adults. Blood Reviews 18:1, 39-63
    CrossRef

  19. 19

    Carlos A Scrideli, Rosane G.P Queiróz, Simone Kashima, Bianca O.M Sankarankutty, Luiz G Tone. (2004) T cell receptor gamma (TCRG) gene rearrangements in Brazilian children with acute lymphoblastic leukemia: analysis and implications for the study of minimal residual disease. Leukemia Research 28:3, 267-273
    CrossRef

  20. 20

    Ronny Schuster, Nicole Max, Benno Mann, Karin Heufelder, Florian Thilo, Jrn Grne, Franziska Rokos, Heinz-Johannes Buhr, Eckhard Thiel, Ulrich Keilholz. (2004) Quantitative real-time RT-PCR for detection of disseminated tumor cells in peripheral blood of patients with colorectal cancer using different mRNA markers. International Journal of Cancer 108:2, 219-227
    CrossRef

  21. 21

    Luba Trakhtenbrot, Gideon Rechavi, Ninette Amariglio. (2004) The Multiparametric Scanning System for Evaluation of Minimal Residual Disease in Hematological Malignancies. Acta Haematologica 112:1-2, 24-29
    CrossRef

  22. 22

    Yasuo Tohmiya, Yoshio Koide, Shinichi Fujimaki, Hideo Harigae, Tadao Funato, Mitsuo Kaku, Tomonori Ishii, Yasuhiko Munakata, Junichi Kameoka, Takeshi Sasaki. (2004) Stanniocalcin-1 as a Novel Marker to Detect Minimal Residual Disease of Human Leukemia. The Tohoku Journal of Experimental Medicine 204:2, 125-133
    CrossRef

  23. 23

    Wolfgang Kern, Susanne Schnittger. (2003) Monitoring of acute myeloid leukemia by flow cytometry. Current Oncology Reports 5:5, 405-412
    CrossRef

  24. 24

    M.Fatih Okcu, W.Mark Roberts, Dennis A. Johnston, Maia V. Ouspenskaia, Victor Z. Papusha, Mark A. Brandt, Theodore F. Zipf. (2003) Risk classification at the time of diagnosis differentially affects the level of residual disease in children with B-precursor acute lymphoblastic leukemia after completion of therapy. Leukemia Research 27:8, 743-750
    CrossRef

  25. 25

    Peter J. Campbell, Alexander A. Morley. (2003) Modelling a minimal residual disease-based treatment strategy in childhood acute lymphoblastic leukaemia. British Journal of Haematology 122:1, 30-38
    CrossRef

  26. 26

    Anna Butturini, John Klein, Robert Peter Gale. (2003) Modeling minimal residual disease (MRD)-testing. Leukemia Research 27:4, 293-300
    CrossRef

  27. 27

    Stefan Faderl, Reuben Lotan, Hagop M. Kantarjian, David Harris, Quin Van, Zeev Estrov. (2003) N-(4-Hydroxylphenyl)retinamide (fenretinide, 4-HPR), a retinoid compound with antileukemic and proapoptotic activity in acute lymphoblastic leukemia (ALL). Leukemia Research 27:3, 259-266
    CrossRef

  28. 28

    Geoffrey A. M. Neale, Dario Campana, Ching-Hon Pui. (2003) Minimal Residual Disease Detection in Acute Lymphoblastic Leukemia: Real Improvement With the Real-Time Quantitative PCR Method?. Journal of Pediatric Hematology/Oncology 25:2, 100-102
    CrossRef

  29. 29

    Sharon R. Pine, FRED H. MOY, Joseph L. Wiemels, Ramneet K. Gill, Oya Levendoglu-Tugal, Mehmet F. Ozkaynak, Claudio Sandoval, Somasundaram Jayabose. (2003) Real-Time Quantitative PCR: Standardized Detection of Minimal Residual Disease in Pediatric Acute Lymphoblastic Leukemia. Journal of Pediatric Hematology/Oncology 25:2, 103-108
    CrossRef

  30. 30

    Nancy Bunin, Dennis A. Johnston, W. Mark Roberts, Maia V. Ouspenskaia, Victor Z. Papusha, Mark A. Brandt, Theodore F. Zipf. (2003) Residual leukaemia after bone marrow transplant in children with acute lymphoblastic leukaemia after first haematological relapse or with poor initial presenting features. British Journal of Haematology 120:4, 711-715
    CrossRef

  31. 31

    Tang-Her Jaing, Iou-Jih Hung, Lee-Yung Shih, Chao-Ping Yang, Chuen Hsueh, Wan-Chak Lo. (2003) Extramedullary Relapse in the Left Proximal Femur With Philadelphia Chromosome Positive Acute Lymphoblastic Leukemia After Allogeneic Bone Marrow Transplantation. Journal of Pediatric Hematology/Oncology 25:1, 65-68
    CrossRef

  32. 32

    Maria R. Baer. (2002) Detection of minimal residual disease in acute myeloid leukemia. Current Oncology Reports 4:5, 398-402
    CrossRef

  33. 33

    Ai-Hong Li, Erik Forestier, Richard Rosenquist, Göran Roos. (2002) Minimal residual disease quantification in childhood acute lymphoblastic leukemia by real-time polymerase chain reaction using the SYBR green dye. Experimental Hematology 30:10, 1170-1177
    CrossRef

  34. 34

    Niels S. Andersen, John W. Donovan, Amy Zuckerman, Lone Pedersen, Christian Geisler, John G. Gribben. (2002) Real-time polymerase chain reaction estimation of bone marrow tumor burden using clonal immunoglobulin heavy chain gene and bcl-1/JH rearrangements in mantle cell lymphoma. Experimental Hematology 30:7, 703-710
    CrossRef

  35. 35

    Jukka Kanerva, Kim Vettenranta, Kirsi Autio, Sakari Knuutila, Ulla M Saarinen-Pihkala. (2002) Minimal residual disease by metaphase FISH in children with ALL: clonal cells during or after chemotherapy may not predict relapse. Leukemia Research 26:6, 545-550
    CrossRef

  36. 36

    Carlos A. Scrideli, Simone Kashima, Rosana Cipolloti, Ricardo Defavery, José Eduardo Bernardes, Luiz G. Tone. (2002) Minimal residual disease in Brazilian children with acute lymphoid leukemia: comparison of three detection methods by PCR. Leukemia Research 26:5, 431-438
    CrossRef

  37. 37

    Letizia Foroni, A.Victor Hoffbrand. (2002) Molecular analysis of minimal residual disease in adult acute lymphoblastic leukaemia. Best Practice & Research Clinical Haematology 15:1, 71-90
    CrossRef

  38. 38

    Tomasz Szczepański, Thomas Flohr, Vincent H.J. van der Velden, Claus R. Bartram, Jacques J.M. van Dongen. (2002) Molecular monitoring of residual disease using antigen receptor genes in childhood acute lymphoblastic leukaemia. Best Practice & Research Clinical Haematology 15:1, 37-57
    CrossRef

  39. 39

    Jerald P. Radich. (2002) Molecular measurement of minimal residual disease in Philadelphia-positive acute lymphoblastic leukaemia. Best Practice & Research Clinical Haematology 15:1, 91-103
    CrossRef

  40. 40

    Mitsu Tarusawa, Akiko Yashima, Mikiya Endo, Chihaya Maesawa. (2002) Quantitative Assessment of Minimal Residual Disease in Childhood Lymphoid Malignancies Using an Allele-Specific Oligonucleotide Real-Time Quantitative Polymerase Chain Reaction. International Journal of Hematology 75:2, 166-173
    CrossRef

  41. 41

    Jesper Stentoft, Niels Pallisgaard, Eigil Kjeldsen, Mette Skov Holm, Johan Lanng Nielsen, Peter Hokland. (2001) Kinetics of BCR-ABL fusion transcript levels in chronic myeloid leukemia patients treated with STI571 measured by quantitative real-time polymerase chain reaction. European Journal of Haematology 67:5-6, 302-308
    CrossRef

  42. 42

    J. Donadieu, C. Hill. (2001) Early response to chemotherapy as a prognostic factor in childhood acute lymphoblastic leukaemia: a methodological review. British Journal of Haematology 115:1, 34-45
    CrossRef

  43. 43

    Laura L. Worth, Sima S. Jeha, Eugenie S. Kleinerman. (2001) BIOLOGIC RESPONSE MODIFIERS IN PEDRIATIC CANCER. Hematology/Oncology Clinics of North America 15:4, 723-740
    CrossRef

  44. 44

    A Lal. (2001) Detection of minimal residual disease in peripheral blood prior to clinical relapse of childhood acute lymphoblastic leukaemia using PCR. Molecular and Cellular Probes 15:2, 99-103
    CrossRef

  45. 45

    Maiko Matsushita, Hideyuki Ikeda, Masahiro Kizaki, Shinichiro Okamoto, Masahiro Ogasawara, Yasuo Ikeda, Yutaka Kawakami. (2001) Quantitative monitoring of the PRAME gene for the detection of minimal residual disease in leukaemia. British Journal of Haematology 112:4, 916-926
    CrossRef

  46. 46

    D. Levett, P. Middleton, M. Cole, M.M. Reid. (2001) A demographic study of the clinical significance of minimal residual disease in children with acute lymphoblastic leukemia. Medical and Pediatric Oncology 36:3, 365-371
    CrossRef

  47. 47

    Wendy Stock, Zeev Estrov. (2000) STUDIES OF MINIMAL RESIDUAL DISEASE IN ACUTE LYMPHOCYTIC LEUKEMIA. Hematology/Oncology Clinics of North America 14:6, 1289-1305
    CrossRef

  48. 48

    Motoi Maeda, Teruhisa Otsuka, Nobuhiro Kimura, Tomoko Kozu, Tomofusa Fukuyama, Naoyuki Uchida, Yasuhiro Sugio, Yoshikiyo Itoh, Tadafumi Iino, Shoichi Inaba, Yoshiyuki Niho. (2000) Induction of MTG8-specific cytotoxic T-cell lines: MTG8 is probably a tumour antigen that is recognized by cytotoxic T cells in AML1-MTG8-fused gene-positive acute myelogenous leukaemia. British Journal of Haematology 111:2, 570-579
    CrossRef

  49. 49

    Chitra Mandal, Mitali Chatterjee, Diviya Sinha. (2000) Investigation of 9-o-acetylated sialoglycoconjugates in childhood acute lymphoblastic leukaemia. British Journal of Haematology 110:4, 801-812
    CrossRef

  50. 50

    Nike T. Beaubier, Amy P. Hart, Claire Bartolo, Cheryl L. Willman, David S. Viswanatha. (2000) Comparison of Capillary Electrophoresis and Polyacrylamide Gel Electrophoresis for the Evaluation of T and B Cell Clonality by Polymerase Chain Reaction. Diagnostic Molecular Pathology 9:3, 121-131
    CrossRef

  51. 51

    Uta Oelschlgel, Ralf Nowak, Annett Schaub, Christine Kppel, Regina Herbst, Brigitte Mohr, Christine Lffler, Ursula Range, Heinrich Gnther, Michael Amann, Elke Siegert, Elisabeth Wendt, Renate Huhn, Elisabeth Brutigam, Gerhard Ehninger. (2000) Shift of aberrant antigen expression at relapse or at treatment failure in acute leukemia. Cytometry 42:4, 247-253
    CrossRef

  52. 52

    Charlotte Nyvold, Hans O. Madsen, Lars P. Ryder, Jeanette Seyfarth, Christina A. Engel, Arne Svejgaard, Finn Wesenberg, Kjeld Schmiegelow. (2000) Competitive PCR for quantification of minimal residual disease in acute lymphoblastic leukaemia. Journal of Immunological Methods 233:1-2, 107-118
    CrossRef

  53. 53

    Christopher D. Gocke, Michael S. Kopreski, Floyd A. Benko, Lars Sternasc, Larry W. Kwak. (2000) Serum BCL2/IGH DNA in Follicular Lymphoma Patients: A Minimal Residual Disease Marker. Leukemia & Lymphoma 39:1-2, 165-172
    CrossRef

  54. 54

    D Sinha, D.K Bhattacharya, C Mandal. (1999) A colorimetric assay to evaluate the chemotherapeutic response of children with acute lymphoblastic leukemia (ALL) employing AchatininH: a 9-O-acetyl sialic acid binding lectin. Leukemia Research 23:9, 803-809
    CrossRef

  55. 55

    John A. Liu Yin, Khalid Tobal. (1999) Detection of minimal residual disease in acute myeloid leukaemia: methodologies, clinical and biological significance. British Journal of Haematology 106:3, 578-590
    CrossRef

  56. 56

    Epstein, Franklin H., , Faderl, Stefan, Talpaz, Moshe, Estrov, Zeev, O'Brien, Susan, Kurzrock, Razelle, Kantarjian, Hagop M., . (1999) The Biology of Chronic Myeloid Leukemia. New England Journal of Medicine 341:3, 164-172
    Full Text

  57. 57

    D. Sinha, C. Mandal, D.K. Bhattacharya. (1999) Development of a simple, blood based lymphoproliferation assay to assess the clinical status of patients with acute lymphoblastic leukemia. Leukemia Research 23:5, 433-439
    CrossRef

  58. 58

    Letizia Foroni, Christine J. Harrison, A. Victor Hoffbrand, Michael N. Potter. (1999) INVESTIGATION OF MINIMAL RESIDUAL DISEASE IN CHILDHOOD AND ADULT ACUTE LYMPHOBLASTIC LEUKAEMIA BY MOLECULAR ANALYSIS. British Journal of Haematology 105:1, 7-24
    CrossRef

  59. 59

    N. Geetha, V. S. Lali, N. Nileena, M. Krishnan Nair. (1999) Late Recurrence of Childhood Acute Lymphoblastic Leukemia. American Journal of Clinical Oncology 22:2, 191-192
    CrossRef

  60. 60

    Gregory A. Hosler, Robert O. Bash, Xin Bai, Vinay Jain, Richard H. Scheuermann. (1999) Development and Validation of a Quantitative Polymerase Chain Reaction Assay to Evaluate Minimal Residual Disease for T-Cell Acute Lymphoblastic Leukemia and Follicular Lymphoma. The American Journal of Pathology 154:4, 1023-1035
    CrossRef

  61. 61

    Oliver Manzke, Frank Berthold, Kai Huebel, Hans Tesch, Volker Diehl, Heribert Bohlen. (1999) CD3xCD19 bispecific antibodies and CD28 bivalent antibodies enhance T-cell reactivity against autologous leukemic cells in pediatric B-ALL bone marrow. International Journal of Cancer 80:5, 715-722
    CrossRef

  62. 62

    Dan Jones, Christopher D. M. Fletcher. (1999) How shall we apply the new biology to diagnostics in surgical pathology?. The Journal of Pathology 187:1, 147-154
    CrossRef

  63. 63

    Jacques JM van Dongen, Taku Seriu, E Renate Panzer-Grümayer, Andrea Biondi, Marja J Pongers-Willemse, Lilly Corral, Frank Stolz, Martin Schrappe, Giuseppe Masera, Willem A Kamps, Helmuth Gadner, Elisabeth R van Wering, Wolf-Dieter Ludwig, Giuseppe Basso, Marianne AC de Bruijn, Giovanni Cazzaniga, Klaudia Hettinger, Anna van der Does-van den Berg, Wim CJ Hop, Hansjörg Riehm, Claus R Bartram. (1998) Prognostic value of minimal residual disease in acute lymphoblastic leukaemia in childhood. The Lancet 352:9142, 1731-1738
    CrossRef

  64. 64

    Stephan Braun, Klaus Pantel. (1998) Prognostic significance of micrometastatic bone marrow involvement. Breast Cancer Research and Treatment 52:1-3, 201-216
    CrossRef

  65. 65

    Charles R. Yates, Ching-Hon Pui, William E. Evans. (1998) Pharmacodynamic Monitoring of Cancer Chemotherapy: Childhood Acute Lymphoblastic Leukemia as a Model. Therapeutic Drug Monitoring 20:5, 453-458
    CrossRef

  66. 66

    Hitoshi Sawada, Yoko Serino, Atsushi Wake, Yoshihiro Yamasaki, Yoichiro Izumi. (1998) Disappearance of AML1-MTG8 transcript by reverse transcriptase polymerase chain reaction in a patient in remission of acute myeloid leukemia (M2) after low-dose cytosine arabinoside. Leukemia Research 22:9, 853-857
    CrossRef

  67. 67

    Cavé, Hélène , van der Werff ten Bosch, Jutte, Suciu, Stefan, Guidal, Christine, Waterkeyn, Christine, Otten, Jacques, Bakkus, Marleen, Thielemans, Kris, Grandchamp, Bernard, Vilmer, Etienne, Nelken, BrigitteFournier, MartineBoutard, PatrickLebrun, EmmanuelMéchinaud, FrançoiseGarand, RichardRobert, AlainDastugue, NicolePlouvier, EmmanuelRacadot, EvelyneFerster, AliceGyselinck, JanFenneteau, OdileDuval, MichelSolbu, GabrielManel, Anne-Marie. (1998) Clinical Significance of Minimal Residual Disease in Childhood Acute Lymphoblastic Leukemia. New England Journal of Medicine 339:9, 591-598
    Full Text

  68. 68

    S Faderl. (1998) The clinical significance of detection of residual disease in childhood ALL. Critical Reviews in Oncology/Hematology 28:1, 31-55
    CrossRef

  69. 69

    Enrique de Alava, María D. Lozano, Ana Patiño, Luis Sierrasesúmaga, F. Javier Pardo-Mindán. (1998) Ewing Family Tumors. Diagnostic Molecular Pathology 7:3, 152-157
    CrossRef

  70. 70

    Takashi Fukushima, Ryo Sumazaki, Kazutoshi Koike, Masahiro Tsuchida, Akira Matsui, Hiromitsu Nakauchi. (1998) Multicolor Flow-Cytometric, Morphologic, and Clonogenic Analysis of Marrow CD10-Positive Cells in Children With Leukemia in Remission or Nonmalignant Diseases. Journal of Pediatric Hematology/Oncology 20:3, 222-228
    CrossRef

  71. 71

    Paul L. Crotty, Brian R. Smith, Giovanni Tallini. (1998) Morphologic, Immunophenotypic, and Molecular Evaluation of Bone Marrow Involvement in Non-Hodgkinʼs Lymphoma. Diagnostic Molecular Pathology 7:2, 90-95
    CrossRef

  72. 72

    Elaine Coustan-Smith, Frederick G Behm, Joaquin Sanchez, James M Boyett, Michael L Hancock, Susana C Raimondi, Jeffrey E Rubnitz, Gaston K Rivera, J Torrey Sandlund, Ching-Hon Pui, Dario Campana. (1998) Immunological detection of minimal residual disease in children with acute lymphoblastic leukaemia. The Lancet 351:9102, 550-554
    CrossRef

  73. 73

    Jeffrey E. Rubnitz, A. Thomas Look. (1998) Molecular Genetics of Childhood Leukemias. Journal of Pediatric Hematology/Oncology 20:1, 1-11
    CrossRef

  74. 74

    Nicholas J. Goulden, Christopher J. C. Knechtli, Russell J. Garland, Kenneth Langlands, Jeremy P. Hancock, Michael N. Potter, Colin G. Steward, Anthony Oakhill. (1998) Minimal residual disease analysis for the prediction of relapse in children with standard-risk acute lymphoblastic leukaemia. British Journal of Haematology 100:1, 235-244
    CrossRef

  75. 75

    (1997) Residual Clones in Childhood Leukemia. New England Journal of Medicine 337:1, 50-51
    Full Text

  76. 76

    Greaves, Mel, . (1997) Silence of the Leukemic Clone. New England Journal of Medicine 336:5, 367-369
    Full Text

Letters