Laboratory for Leukemia Diagnostics, University of Munich,
81366 Muenchen, Germany.
Modern treatment of patients with acute myeloid leukemia includes intensive induction and consolidation therapies as well as autologous and allogeneic stem cell transplantation. This results in long-term disease control in most patients with good prognostic features while the majority of other patients are prone to relapsing and resistant leukemia. Based on the most powerful prognostic parameters, i.e. cytogenetics, age, and AML as secondary disease (Schoch et al., 2003; Schoch et al., 2004), patient groups with highly differing prognosis can be identified. However, for many patients and within the large group of patients with an intermediate prognosis in particular an improvement of prognostication can be achieved by use of therapy-dependent parameters. Minimal residual disease (MRD) carrying the potential of leukemic regrowth and overt relapse is considered an ideal target for the definition of treatment-dependent prognostic parameters.
General aspects on minimal residual
Different courses of this minimal residual disease (MRD) are depicted in figure 1. Consecutive elements of antileukemic therapy may lead to repeated reductions of the amount of residual leukemic cells until eventually cure from the disease is achieved. In contrast, residual leukemic cells may become resistant to antileukemic therapy in other cases leading to increasing levels of MRD while the patient still is in complete remission as assessed cytomorphologically. In most of the latter cases the regrowth of the leukemic population results in the occurrence of clinical relapse. Taking these issues into account, the level of MRD is anticipated not only to have substantial impact on the course of the disease and to become a valuable therapy-dependent prognostic factor but also to be increasingly used for the selection of risk-adapted treatment strategies.
Along this line, the recently "Revised Recommendations of the International Working Group for Diagnosis, Standardization of Response Criteria, Treatment Outcomes, and Reporting Standards for Therapeutic Trials in Acute Myeloid Leukemia" now include the definition of treatment failure based on the reappearance of molecular and cytogenetic abnormalities (Cheson et al., 2003). In addition, the flow cytometric evaluation of AML at diagnosis is recommended in order to indentify leukemia-associated aberrant immunophenotypes (LAIP) useful for the quantification of MRD.
Figure 1: Leukemia treatment outcome. The red line indicates a sequential reduction of the leukemic cell mass with the exception of a slight increase before the second consolidation therapy. Eventually, cure is achieved. The green lines indicate cases with relapses of AML in which increasing MRD levels are present before relapse. The light blue area refers to the cytomorphologic finding of 1% to 5% bone marrow blasts which is compatible with complete remission. The intermediate blue area refers to a 0% bone marrow blasts count with MRD levels detectable by MFC or QRT-PCR. The dark blue area refers to a 0% bone marrow blasts count with MRD levels below the sensitivity of MFC and QRT-PCR.
Clinical use of monitoring MRD in AML
The two most important aspects of monitoring of MRD in AML are its use as a stratification parameter and as a tool for the early detection of impending relapse. In the first setting, patients are devided based on distinct levels of MRD into two or more groups with different risks of relapse and probabilities of long-term remission. The resulting stratification models can be used in randomized clinical trials to delineate the relative efficacy of investigational treatment approaches within prognostically homogeneous subgroups of AML. In the second setting, the aim of monitoring of MRD is the identification of cases with a very high risk of relapse who then can be treated much earlier and more effectively by salvage protocols as compared to patients in overt relapse. A further possible application is the use of the reduction of MRD as a surrogate marker for long-term efficacy of newly developed and evaluated treatment approaches.
Assessment of MRD in AML by multiparameter
flow cytometry, general aspects
The detection and quantification of MRD by multiparameter flow cytometry MFC relies on the presence of leukemia-associated aberrant immunophenotypes (LAIP) on leukemic cells in patients with AML (Kern et al., 2003). These LAIP are present in all of or in a subset of the leukemic cells and are present at very low frequencies or even absent in normal bone marrow cells. Figure 2 shows the course of MRD during therapy as identified by the aberrant expression of CD56 on CD33+CD34+ bone marrow blasts.
Figure 2: Course of MRD. The number of LAIP-positive cell decreases with each consecutive course of treatment. LAIP-positive cell are absent after allogeneic stem cell transplantation.
Given that at diagnosis of AML the LAIP present in an individual case has been identified, MRD during the course of treatment and follow-up can be assessed by the quantification of the frequencies of these cells by MFC. Due to the phenotypic heterogeneity of AML it is essential to apply a comprehensive panel of combinations of monoclonal antibodies at diagnosis in order to allow the detection of an LAIP. Furthermore, the comparison of leukemic bone marrow to normal bone marrow samples is most important in order to maximize specificity.
LAIPs can be grouped into four different categories according to the kind of aberration:
In addition, leukemic cells frequently display an aberrant light scatter pattern which reflects mainly the size (forward-light scatter; FLS) and the granularity (orthogonal-light scatter; OLS) of the cells.
Applicability and sensitivity of MRD
quantification by MFC
Besides the determination of the prognostic impact of MRD levels in AML in general one of the key issues in immunologic monitoring in AML is the balance between maximizing the applicability to all patients and the sensitivity and specificity of the method.
Due to the phenotypic heterogeneity of AML within individual cases, which occurs as more than one population or, in most cases, as a wide range of expression intensity of various antigens, the inclusion of all AML cells into one LAIP is possible in some cases only (e.g. CD34+CD56+CD33+) while in other cases only a part of the total population of AML cells can be included into one LAIP (e.g. CD64++CD4++CD45++). Clearly, the portion of AML cells which can be covered by a LAIP is dependent on the degree of aberration in the leukemia-associated immunophenotype as compared to the respective immunophenotype in normal bone marrow cells.
Thus, in AML patients with leukemic cells displaying a less aberrant LAIP the choice with regard to immunologic MRD monitoring is:
From the technical point of view the latter approach is the
most prefered one and has been adopted in a variety of analyses on the prognostic
impact of immunologically quantified MRD in AML. Thus, the AML cells in more
than 25% of all patients analyzed at diagnosis were considered not to carry
a LAIP (Venditti et al., 2000; San Miguel et al., 2001; San Miguel et al., 1997).
Although these studies consistently demonstrate the high prognostic impact of immunologically determined MRD levels in AML they do not address the issue of optimizing the applicability of this approach by improving the panel of antibodies and thus the capability of identifying LAIPs in a larger number of patients. New data in this regard suggest that maximizing this applicability is possible even to 100 percent of all AML patients with the resulting sensitivity as analyzed by normal bone marrow samples amounting to a median of 0.05% (Kern et al., 2003). In fact, data are available to prove that MRD levels determined in this way have significant impact on the patients´ prognosis (Kern et al., 2004).
Stability of LAIP at relapse
A prerequisite for the validity of immunologic monitoring in AML is the stability of the LAIP between diagnosis and relapse which has been anticipated not to be present in a subset of patients given that even changes in karyotype occur in about one third of cases (Kern et al., 2000; Kantarjian et al., 1988).
Published data in this regard suggest that with a few exceptions the LAIP is detectable also at relapse, however, the populations covered by the LAIP at relapse in some cases represent only less than 10% of all leukemic cells and the intensity of aberrantly expressed antigens may have changed (Oelschlagel et al., 2000; Macedo et al., 1996; Reading et al., 1993; Drach et al., 1992; Campana et al., 1990; Voskova et al., 2004).
Prognostic impact of immunologically
quantified MRD in AML
Depending on the selection of applied antibodies and on the aberrantly expressed genes the sensitivity in most AML cases ranges between 0.1% and 0.01% of all nucleated bone marrow cells (Campana and Coustan-Smith, 1999; Coustan-Smith et al., 1993). The studies conducted in patients after achievement of a complete remission indicate that the amount of residual disease for the majority of patients are in the same range and thus assure the feasibility of using MFC for the quantification of MRD (Venditti et al., 2000; San Miguel et al., 2001; San Miguel et al., 1997; Kern et al., 2004; Nakamura et al., 2000).
Published data on the detection of MRD by MFC suggest that in a portion of all patients an estimation of the prognosis is possible based on the amount of residual disease (Venditti et al., 2000; San Miguel et al., 2001; San Miguel et al., 1997; Kern et al., 2004; Nakamura et al., 2000; Sievers et al., 1996; Coustan-Smith et al., 2003).
In all studies on adult AML a prognostic impact of MRD levels determined by MFC has been shown.
While the studies discussed above cases were selected according
to the degree of aberrancy of LAIPs and only 50% to 80% of all cases were thus
included, two recent reports indicate that prognostication by flow cytometric
assessment of MRD is possible in the large majority of patients with AML (Kern
et al., 2004).
Thus, the MRD levels both during aplasia after induction therapy as well as during CR (before and after consolidation therapy) were shown to strongly correlate with the prognosis of the patients. In 106 unselected patients MRD levels at day 16 after start of induction therapy were significantly related to the achievement of CR (p=0.0001), event-free survival (p<0.0001), overall survival (p=0.003), and relapse-free survival (p=0.0003). Importantly, the prognostic impact of day 16 MRD was independent of cytogenetics and other prognostic parameters with regard to achievement of CR, event-free survival, and relapse-free survival. An additional analysis of 58 patients before and 62 patients after consolidation therapy revealed similar results with independent prognostic impact of MRD levels at both check points.
These data are in line with previous reports and in addition demonstrate that the flow cytometric assessment of MRD
Improvement of MRD quantification by
The studies published so far on the detection of MRD used MFC applied three fluorochromes and different triple-combinations of monoclonal antibodies. This implies that the basic parameters used in all combinations for the identification of the blast population are the light scatter characteristics, i.e. forward-light scatter (FLS) and orthogonal-light scatter (OLS). A significant step forward has been the introduction of the simultaneous detection of four fluorochromes and the use of CD45-gating. Since CD45 is differentially expressed not only between different lineages of hematopoietic differentiation but also within these lineages during the process of maturation it is capable, in combination with OLS, of clearly differentiating blasts from other cells (Borowitz et al., 1993) as is shown in figure 3.
Applying this approach in the context of immunologic MRD monitoring has been shown to improve the sensitivity of the method by almost one log (Kern et al., 2004). Future clinical trials have to validate the translation of these data into improved prognostic parameters.
Figure 3: Improvement of separation of populations by CD45 gating. A=normal bone marrow (left: FLS-OLS plot, right: CD45-OLS plot), B=AML bone marrow (left: FLS-OLS plot, right: CD45-OLS plot), G=granulocytes, M=monocytes, L=lymphocytes, E=erythrocytes, B=blasts. CD45-OLS gating allows to isolate bone marrow blasts from all other populations which is not possible by FLS-OLS gating.
Assessment of MRD in AML by quantitative
PCR, general aspects
Quantitative RT-PCR (QRT-PCR) serves a highly sensitive method capable of quantifying MRD in patients with AML which has resulted in powerful prognostic parameters (Marcucci et al., 2001; Schnittger et al., 2003; Buonamici et al., 2002; Guerrasio et al., 2002; Gallagher et al., 2002; Krauter et al., 2003). While in most studies leukemia-specific fusion gene associated with recurrent cytogenetic translocations were targeted several other genetic alterations like length mutation of FLT3 and partial tandem duplications of MLL have been increasingly used as targets for MRD quantification (Schnittger et al., 2004). As a consequence, the general applicability of QRT-PCR for quantification of MRD has been increased from 20% to 50% of all patients with AML and may increase to the vast majority of all patients if the overexpression of WT1 and EVI1 and other potential targets are confirmed to result in clinical meaningful data (Cilloni et al., 2003; Ogawa et al., 2003).
PCR-targets for MRD detection
Targets that are available for MRD detection in AML include
With the exception of aberrantly expressed genes most of these targets are highly specific and have no background signal in normal cells. The applicability of these different targets varies per disease. In AML the fusion transcripts were the most frequently applied targets so far. However, the use of breakpoint specific assays and aberrantly expressed genes as targets for MRD detection in AML are of growing importance, especially to increase the number of cases that can be monitored by sensitive PCR techniques.
Quantification of a target
Whereas with MFC the real number of malignant cells in a population can be assessed, the QRT-PCR measures the mRNA expression level of an AML-specific gene relative to one or more other reference genes.
The RNA gain per cell may greatly vary due to the time from sampling to RNA preparation, stabilisation of sample, cell count per µl, and other factors. In addition, the cDNA yield may vary mainly due to differences in daily used enzyme lots and inhibitors in the sample.
To normalize for such quality variation each transcript to be quantified has to be compensated with the expression of one or more reference genes. As reference gene usually so-called housekeeping genes are being used that are believed to be expressed at similar levels in all different cell types. An attractive feature of this implementation of reference genes in comparison to standard RT-PCR is that the final sensitivity of each individual assay can be documented and poor quality samples can be eliminated. It is still a matter of debate which housekeeping gene is the most stable and most suitable one in AML.
The Europe Against Cancer (EAC) program initiated a comparison
of 14 different potential control genes.
Based on the absence of pseudogenes and the level and stability of expression, three genes were finally selected:
Out of these three, ABL was the only one that did not differ significantly between normal and leukemic samples at diagnosis and therefore was proposed to be used as reference in leukemic patients (Weisser et al., 2004).
Figure 4: Quantification by real time PCR. a) Amplification of defined plasmid dilutions containing the target to be quantified. b) Standard curve that is constructed from the plasmid dilution. c) Limited dilution series of a fusion gene positive in a fusion gene negative sample, indicating the sensitivity of the assay. d) assessment of the ABL control gene in the same samples as depicted in "c".
Quantification of fusion genes in AML
The PML-RARA , AML1-ETO , and CBFB-MYH11 fusion genes are the three most common ones in AML. Although all are associated with a prognostically favorable subgroup of AML even in these subtypes 10-30% of cases are prone to treatment failure and early identification of these high risk patients is important to adjust treatment strategies. A number of studies dealing with the quantification of these fusion transcripts have shown the importance of MRD detection in these AML subtypes (Marcucci et al., 2001; Schnittger et al., 2003; Buonamici et al., 2002; Guerrasio et al., 2002; Gallagher et al., 2002; Krauter et al., 1999; Cassinat et al., 2000; Krauter et al., 2001).
Transcript ratios at diagnosis
Like for all MRD analyses the first time point to measure the expression of a fusion gene must be the diagnosis of AML in order to assess the molecular subtype of the fusion gene as this may vary tremendously at the molecular level. In addition, this value is mandatory as the basis value for all following MRD time points.
It has been shown in a number of studies using different housekeeping genes that transcript ratios may vary up to two orders of magnitude at diagnosis (Marcucci et al., 2001; Schnittger et al., 2003; Krauter et al., 2003; Krauter et al., 1999; Krauter et al., 2001). A recent large study based on 349 patients showed in AML1-ETO-, CBFB-MYH11-, and PML-RARA-positive patients that transcription levels at diagnosis are correlated with clinical outcome independently of other parameters (Schnittger et al., 2003). With a range of 2.5 orders of magnitude these variations were most prominent in AML1-ETO-positive cases. This variation can only be explained by high differences in expression activity of the malignant cells between individual patients.
Transcription reduction during therapy
and its impact on prognosis
The kinetics of reduction of the transcript ratio after the first and second induction therapy were found to have no impact on OS or EFS while the transcript levels after consolidation treatment had (Schnittger et al., 2003; Guerrasio et al., 2002).
Due to very variable time points of MRD testing that were applied in different studies the most predictive time point and the time span between follow up assessments are still unknown and must be defined in prospective and multicenter trials.
New score for risk stratification of
Based on a multicenter study with 131 patients (34 with AML1-ETO, 42 with CBFB-MYH11, and 55 with PML-RARA) evaluated at diagnosis as well as after consolidation therapy a prognostic score was established by combining the transcript ratio of both checkpoints (Schnittger et al., 2003). In all three AML subtypes a good risk group was identified by a transcription level at diagnosis of less than the 75%-percentile and an MRD level of less than the median in which no case with treatment failure was observed. In contrast, patients with either a higher transcription level at diagnosis or a higher MRD level after consolidation therapy did significantly worse.
Prediction of relapse
In a limited number of cases a molecular relapse was demonstrated to precede the hematologic relapse by some weeks (Marcucci et al., 2001; Krauter et al., 2003).
The largest study focussing on the prediction of relapse by an increase of a fusion gene detectable by PCR analyzed 142 patients at three or more different time points during and after therapy (Schnittger et al., 2003). Fifteen of these cases (10.6%) relapsed. In eight patients increasing transcript ratios indicated molecular relapses 1-5 months before hematologic and cytogenetic relapses occurred. An increase even from the undetectable to a marginal transcription level significantly predicts relapse. Stressing the importance of small follow-up intervals, in all seven relapsing patients with follow up intervals larger than six months relapses were not detected beforehand by PCR. In general, follow-up assessments should be performed every three months in order to early identify impending relapse (Marcucci et al., 2001; Schnittger et al., 2003; Krauter et al., 2003).
FLT3-LM, MLL-PTD, and other genetic
Besides the leukemia-specific fusion genes other genetic alterations have been evaluated as potential targets for quantification of MRD.
FLT3-LM (length mutation of FLT3) are detected in 20-25% of all AML and in approximately 40% of AML with normal karyotype or with other prognostically intermediate cytogenetic aberrations like trisomie 8 , trisomy 11 and del(9q) , i.e. AML subgroups in which PCR was not applicable due to the lack of fusion genes (Schnittger et al., 2002). In a series of 97 paired diagnostic/relapse samples it could be shown that in the majority of cases (96%) the FLT3-LM was present at both time points (Schnittger et al., 2004). The sensitivity as estimated by limited dilution series ranged between 1:100 and 1:1,000. In six cases it was possible to detect FLT3-LM positivity after previous PCR-negativity 1-3 months before cytomorphological relapse. In another four cases a pending relapse was detectable by persistent PCR positivity of the FLT3-LM (Schnittger et al., 2004).
Figure 5: Semiquantitative and quantitative analysis of FLT3-LM. a) semiqualitative conventional agarose gel electrophoresis. The wildtype allele (WT) is the smallest fragment. All that are larger than this fragment indicate FLT3-LM. Patients P1, P5, and P6 are positive for a FLT3-LM. P1 in addition has a loss of the WT-allele. –C: H2O control. M: molecular weight marker. b) Fragment analysis for quantification ot the FLT3-LM. In red the standard. In blue the FLT3-WT and the FLT3-LM.
A high expression level of MLL-PTD (partial tandem duplications of MLL) is present in unselected AML at diagnosis in 6.5% and in AML with normal karyotype in 10% (Schnittger et al., 2003; Schnittger et al., 2000). A real time PCR assay has been recently developed which is sensitive and quantitative and reflects treatment response as well as early detects relapse (Schnittger et al., 2004). However, the presence of positive cells in normal bone marrow in the range between 0.01% and 0.05 % may indicate a limited sensitivity.
Additional genetic mutations which are currently analyzed with regard to their usefullness for MRD quantification include overexpression of WT1 and EVI1 (Cilloni et al., 2003; Ogawa et al., 2003).
Figure 6: Examples of follow up with MLL-PTD in three patients. In pink a resistent patient. In blue a case with bad response to standard chemotherapy that underwent bone marrow transplantation. In yellow a good responder.
Summary of MRD quantification by QRT-PCR
Quantification of MRD in AML by QRT-PCR is feasible in 50% of patients and results in powerful prognostic parameters, in particular in patients assigned a favorable prognosis by pretherapeutic parameters. A QRT-PCR analysis targeting specific genetic alterations and even a screening analysis must be performed at diagnosis in order to identify and quantify the target that may be used for MRD assessment. Further large-scale clinical trails will determine the optimum time points for MRD assessment and the relative value of QRT-PCR-based and MFC-based methods of MRD quantification.
Comparison of multiparameter flow cytometry
and quantitative RT-PCR
Given the powerful applicability of both MFC-based and QRT-PCR-based quantifications of MRD to estimate the patients prognosis it becomes increasingly important to assess the respective value and superiority of either method for distinct clinical settings.
However, data published on this issue are scarce. Preliminary data indicate that for the majority of cases both methods reveal comparable results (Kern et al., 2003). Thus, out of 372 follow-up assessments from 144 patients with AML analyzed by both methods in parallel both at diagnosis and at follow-up 61% were found to give concordant results with regard to positivity and negativity, respectively. Another 19% were found positive by QRT-PCR and negative by MFC and 20% vice versa demonstrating differences in the sensitivity between both methods for different targets. QRT-PCR was superior to MFC in most cases with CBF leukemias due to the very good sensitivity of the fusion transcripts CBFB-MYH11 and AML1-ETO. Conversely, MFC was superior to QRT-PCR in many cases with acute promyelocytic leukemia due to the highly sensitive LAIP HLA-DR-CD33+CD34+ which, however, occurs in only 20% of all cases with acute promyelocytic leukemia.
With regard to the quantitative comparison of data obtained by both methods there were also highly significant correlations which is also true for the comparison of the courses of MRD as determined by both methods in individual patients. The performed evaluations in addition indicate that MRD levels determined at different check points by both methods correlate with the prognosis, however, additional analyses are needed to get conclusive results on the topic which method to apply at which check point for which subentity of AML.
Overall, QRT-PCR due to the high sensitivity is anticipated to be most important in CBF leukemias while MFC due to its applicability to virtually all patients with AML is anticipated to be more important in the remaining cases. Additional studies will have to be performed to substantiate these data (Coustan-Smith et al., 2003). Clearly, approaching these issues should be led by the search for the clinically most informative and therefore most useful application in order to help optimizing the therapeutic management of patients with AML.
Based on published data it is anticipated that the quantification of MRD will significantly improve the estimation of the prognosis in patients with AML and as a consequence will play a major role as a stratification parameter to guide the risk-adapted therapy of the disease.
In cases with CBF leukemias, i.e. AML with t(8;21) and inv(16)/t(16;16), QRT-PCR is more sensitive as compared to MFC and thus will be used for MRD quantification preferably in these cases.
In contrast, MFC offers an applicability with a clinically relevant sensitivity to virtually all patients with AML and thus is considered an ideal tool for the use of MRD quantification in large AML populations including all subtypes of the disease. Technical improvement like the use of five or more colors in MFC and the identification of additional leukemia-specific genetic targets which can be quantified by QRT-PCR will lead to a further increase of the applicability and sensitivity of both methods for MRD quantification.
Future studies will define which methods at which check point are most useful for the management of patients with AML.
|AML with 11q23/MLL abnormalities as defined by the WHO classification: incidence, partner chromosomes, FAB subtype, age distribution, and prognostic impact in an unselected series of 1897 cytogenetically analyzed AML cases.|
|Schoch C, Schnittger S, Klaus M, Kern W, Hiddemann W, Haferlach T|
|Blood. 2003 ; 102 (7) : 2395-2402.|
|The influence of age on prognosis of de novo acute myeloid leukemia differs according to cytogenetic subgroups.|
|Schoch C, Kern W, Schnittger S, Büchner T, Hiddemann W, Haferlach T|
|Haematologica. 2004 ; 89 (9) : 1082-1090.|
|Karyotype is an independent prognostic parameter in therapy-related acute myeloid leukemia (t-AML): an analysis of 93 patients with t-AML in comparison to 1091 patients with de novo AML.|
|Schoch C, Kern W, Schnittger S, Hiddemann W, Haferlach T|
|Leukemia : official journal of the Leukemia Society of America, Leukemia Research Fund, U.K. 2004 ; 18 (1) : 120-125.|
|Revised recommendations of the International Working Group for Diagnosis, Standardization of Response Criteria, Treatment Outcomes, and Reporting Standards for Therapeutic Trials in Acute Myeloid Leukemia.|
|Cheson BD, Bennett JM, Kopecky KJ, Büchner T, Willman CL, Estey EH, Schiffer CA, Doehner H, Tallman MS, Lister TA, Lo-Coco F, Willemze R, Biondi A, Hiddemann W, Larson RA, Löwenberg B, Sanz MA, Head DR, Ohno R, International Working Group for Diagnosis, Standardization of Response Criteria, Treatment Outcomes, and Reporting Standards for Therapeutic Trials in Acute Myeloid Leukemia, Bloomfield CD|
|Journal of clinical oncology : official journal of the American Society of Clinical Oncology. 2003 ; 21 (24) : 4642-4649.|
|Monitoring of acute myeloid leukemia by flow cytometry.|
|Kern W, Schnittger S|
|Current oncology reports. 2003 ; 5 (5) : 405-412.|
|Level of minimal residual disease after consolidation therapy predicts outcome in acute myeloid leukemia.|
|Venditti A, Buccisano F, Del Poeta G, Maurillo L, Tamburini A, Cox C, Battaglia A, Catalano G, Del Moro B, Cudillo L, Postorino M, Masi M, Amadori S|
|Blood. 2000 ; 96 (12) : 3948-3952.|
|Early immunophenotypical evaluation of minimal residual disease in acute myeloid leukemia identifies different patient risk groups and may contribute to postinduction treatment stratification.|
|San Miguel JF, Vidriales MB, López-Berges C, Díaz-Mediavilla J, Gutiérrez N, Cañizo C, Ramos F, Calmuntia MJ, Pérez JJ, Gonz´lez M, Orfao A|
|Blood. 2001 ; 98 (6) : 1746-1751.|
|Immunophenotyping investigation of minimal residual disease is a useful approach for predicting relapse in acute myeloid leukemia patients.|
|San Miguel JF, Martínez A, Macedo A, Vidriales MB, López-Berges C, Gonz´lez M, Caballero D, García-Marcos MA, Ramos F, Fern´ndez-Calvo J, Calmuntia MJ, Diaz-Mediavilla J, Orfao A|
|Blood. 1997 ; 90 (6) : 2465-2470.|
|Detection of minimal residual disease in unselected patients with acute myeloid leukemia using multiparameter flow cytometry for definition of leukemia-associated immunophenotypes and determination of their frequencies in normal bone marrow.|
|Kern W, Danhauser-Riedl S, Ratei R, Schnittger S, Schoch C, Kolb HJ, Ludwig WD, Hiddemann W, Haferlach T|
|Haematologica. 2003 ; 88 (6) : 646-653.|
|Determination of relapse risk based on assessment of minimal residual disease during complete remission by multiparameter flow cytometry in unselected patients with acute myeloid leukemia.|
|Kern W, Voskova D, Schoch C, Hiddemann W, Schnittger S, Haferlach T|
|Blood. 2004 ; 104 (10) : 3078-3085.|
|Prognostic impact of early response to induction therapy as assessed by multiparameter flow cytometry in acute myeloid leukemia.|
|Kern W, Voskova D, Schoch C, Schnittger S, Hiddemann W, Haferlach T|
|Haematologica. 2004 ; 89 (5) : 528-540.|
|Prognostic significance of cytogenetics in relapsed acute myeloid leukaemia.|
|Kern W, Schoch C, Hiddemann W|
|British journal of haematology. 2000 ; 109 (3) : 671-672.|
|The characteristics and outcome of patients with late relapse acute myelogenous leukemia.|
|Kantarjian HM, Keating MJ, Walters RS, McCredie KB, Freireich EJ|
|Journal of clinical oncology : official journal of the American Society of Clinical Oncology. 1988 ; 6 (2) : 232-238.|
|Shift of aberrant antigen expression at relapse or at treatment failure in acute leukemia.|
|Oelschlägel U, Nowak R, Schaub A, Köppel C, Herbst R, Mohr B, Löffler C, Range U, Günther H, Assmann M, Siegert E, Wendt E, Huhn R, Bräutigam E, Ehninger G|
|Cytometry. 2000 ; 42 (4) : 247-253.|
|Phenotypic changes in acute myeloid leukaemia: implications in the detection of minimal residual disease.|
|Macedo A, San Miguel JF, Vidriales MB, López-Berges MC, García-Marcos MA, Gonzalez M, Landolfi C, Orfão A|
|Journal of clinical pathology. 1996 ; 49 (1) : 15-18.|
|Expression of unusual immunophenotype combinations in acute myelogenous leukemia.|
|Reading CL, Estey EH, Huh YO, Claxton DF, Sanchez G, Terstappen LW, O'Brien MC, Baron S, Deisseroth AB|
|Blood. 1993 ; 81 (11) : 3083-3090.|
|Subpopulations of normal peripheral blood and bone marrow cells express a functional multidrug resistant phenotype.|
|Drach D, Zhao S, Drach J, Mahadevia R, Gattringer C, Huber H, Andreeff M|
|Blood. 1992 ; 80 (11) : 2729-2734.|
|The detection of residual acute lymphoblastic leukemia cells with immunologic methods and polymerase chain reaction: a comparative study.|
|Campana D, Yokota S, Coustan-Smith E, Hansen-Hagge TE, Janossy G, Bartram CR|
|Leukemia : official journal of the Leukemia Society of America, Leukemia Research Fund, U.K. 1990 ; 4 (9) : 609-614.|
|Stability of leukemia-associated aberrant immunophenotypes in patients with acute myeloid leukemia between diagnosis and relapse: comparison with cytomorphologic, cytogenetic, and molecular genetic findings.|
|Voskova D, Schoch C, Schnittger S, Hiddemann W, Haferlach T, Kern W|
|Cytometry. Part B, Clinical cytometry. 2004 ; 62 (1) : 25-38.|
|Detection of minimal residual disease in acute leukemia by flow cytometry.|
|Campana D, Coustan-Smith E|
|Cytometry. 1999 ; 38 (4) : 139-152.|
|N-CAM (CD56) expression by CD34+ malignant myeloblasts has implications for minimal residual disease detection in acute myeloid leukemia.|
|Coustan-Smith E, Behm FG, Hurwitz CA, Rivera GK, Campana D|
|Leukemia : official journal of the Leukemia Society of America, Leukemia Research Fund, U.K. 1993 ; 7 (6) : 853-858.|
|Flow cytometric assessment of CD15+CD117+ cells for the detection of minimal residual disease in adult acute myeloid leukaemia.|
|Nakamura K, Ogata K, An E, Dan K|
|British journal of haematology. 2000 ; 108 (4) : 710-716.|
|Prediction of relapse of pediatric acute myeloid leukemia by use of multidimensional flow cytometry.|
|Sievers EL, Lange BJ, Buckley JD, Smith FO, Wells DA, Daigneault-Creech CA, Shults KE, Bernstein ID, Loken MR|
|Journal of the National Cancer Institute. 1996 ; 88 (20) : 1483-1488.|
|Clinical significance of residual disease during treatment in childhood acute myeloid leukaemia.|
|Coustan-Smith E, Ribeiro RC, Rubnitz JE, Razzouk BI, Pui CH, Pounds S, Andreansky M, Behm FG, Raimondi SC, Shurtleff SA, Downing JR, Campana D|
|British journal of haematology. 2003 ; 123 (2) : 243-252.|
|Immunophenotyping of acute leukemia by flow cytometric analysis. Use of CD45 and right-angle light scatter to gate on leukemic blasts in three-color analysis.|
|Borowitz MJ, Guenther KL, Shults KE, Stelzer GT|
|American journal of clinical pathology. 1993 ; 100 (5) : 534-540.|
|Four-fold staining including CD45 gating improves the sensitivity of multiparameter flow cytometric assessment of minimal residual disease in patients with acute myeloid leukemia.|
|Kern W, Voskova D, Schnittger S, Schoch C, Hiddemann W, Haferlach T|
|The hematology journal : the official journal of the European Haematology Association / EHA. 2004 ; 5 (5) : 410-418.|
|Quantification of CBFbeta/MYH11 fusion transcript by real time RT-PCR in patients with INV(16) acute myeloid leukemia.|
|Marcucci G, Caligiuri MA, Döhner H, Archer KJ, Schlenk RF, Döhner K, Maghraby EA, Bloomfield CD|
|Leukemia : official journal of the Leukemia Society of America, Leukemia Research Fund, U.K. 2001 ; 15 (7) : 1072-1080.|
|New score predicting for prognosis in PML-RARA+, AML1-ETO+, or CBFBMYH11+ acute myeloid leukemia based on quantification of fusion transcripts.|
|Schnittger S, Weisser M, Schoch C, Hiddemann W, Haferlach T, Kern W|
|Blood. 2003 ; 102 (8) : 2746-2755.|
|Real-time quantitation of minimal residual disease in inv(16)-positive acute myeloid leukemia may indicate risk for clinical relapse and may identify patients in a curable state.|
|Buonamici S, Ottaviani E, Testoni N, Montefusco V, Visani G, Bonifazi F, Amabile M, Terragna C, Ruggeri D, Piccaluga PP, Isidori A, Malagola M, Baccarani M, Tura S, Martinelli G|
|Blood. 2002 ; 99 (2) : 443-449.|
|Assessment of minimal residual disease (MRD) in CBFbeta/MYH11-positive acute myeloid leukemias by qualitative and quantitative RT-PCR amplification of fusion transcripts.|
|Guerrasio A, Pilatrino C, De Micheli D, Cilloni D, Serra A, Gottardi E, Parziale A, Marmont F, Diverio D, Divona M, Lo Coco F, Saglio G|
|Leukemia : official journal of the Leukemia Society of America, Leukemia Research Fund, U.K. 2002 ; 16 (6) : 1176-1181.|
|Quantitative real-time RT-PCR analysis of PML-RAR alpha mRNA in acute promyelocytic leukemia: assessment of prognostic significance in adult patients from intergroup protocol 0129.|
|Gallagher RE, Yeap BY, Bi W, Livak KJ, Beaubier N, Rao S, Bloomfield CD, Appelbaum FR, Tallman MS, Slack JL, Willman CL|
|Blood. 2003 ; 101 (7) : 2521-2528.|
|Prognostic value of minimal residual disease quantification by real-time reverse transcriptase polymerase chain reaction in patients with core binding factor leukemias.|
|Krauter J, Gorlich K, Ottmann O, Lubbert M, Dohner H, Heit W, Kanz L, Ganser A, Heil G|
|Journal of clinical oncology : official journal of the American Society of Clinical Oncology. 2003 ; 21 (23) : 4413-4422.|
|FLT3 length mutations as marker for follow-up studies in acute myeloid leukaemia.|
|Schnittger S, Schoch C, Kern W, Hiddemann W, Haferlach T|
|Acta haematologica. 2004 ; 112 (1-2) : 68-78.|
|Usefulness of quantitative assessment of the WT1 gene transcript as a marker for minimal residual disease detection.|
|Cilloni D, Gottardi E, Fava M, Messa F, Carturan S, Busca A, Guerrasio A, Saglio G|
|Blood. 2003 ; 102 (2) : 773-774.|
|The usefulness of monitoring WT1 gene transcripts for the prediction and management of relapse following allogeneic stem cell transplantation in acute type leukemia.|
|Ogawa H, Tamaki H, Ikegame K, Soma T, Kawakami M, Tsuboi A, Kim EH, Hosen N, Murakami M, Fujioka T, Masuda T, Taniguchi Y, Nishida S, Oji Y, Oka Y, Sugiyama H|
|Blood. 2003 ; 101 (5) : 1698-1704.|
|Evaluation of candidate control genes for diagnosis and residual disease detection in leukemic patients using 'real-time' quantitative reverse-transcriptase polymerase chain reaction (RQ-PCR) - a Europe against cancer program.|
|Beillard E, Pallisgaard N, van der Velden VH, Bi W, Dee R, van der Schoot E, Delabesse E, Macintyre E, Gottardi E, Saglio G, Watzinger F, Lion T, van Dongen JJ, Hokland P, Gabert J|
|Leukemia : official journal of the Leukemia Society of America, Leukemia Research Fund, U.K. 2003 ; 17 (12) : 2474-2486.|
|The use of housekeeping genes for real-time PCR-based quantification of fusion gene transcripts in acute myeloid leukemia.|
|Weisser M, Haferlach T, Schoch C, Hiddemann W, Schnittger S|
|Leukemia : official journal of the Leukemia Society of America, Leukemia Research Fund, U.K. 2004 ; 18 (9) : 1551-1553.|
|Real-time RT-PCR for the detection and quantification of AML1/MTG8 fusion transcripts in t(8;21)-positive AML patients.|
|Krauter J, Wattjes MP, Nagel S, Heidenreich O, Krug U, Kafert S, Bunjes D, Bergmann L, Ganser A, Heil G|
|British journal of haematology. 1999 ; 107 (1) : 80-85.|
|Quantitation of minimal residual disease in acute promyelocytic leukemia patients with t(15;17) translocation using real-time RT-PCR.|
|Cassinat B, Zassadowski F, Balitrand N, Barbey C, Rain JD, Fenaux P, Degos L, Vidaud M, Chomienne C|
|Leukemia : official journal of the Leukemia Society of America, Leukemia Research Fund, U.K. 2000 ; 14 (2) : 324-328.|
|Detection and quantification of CBFB/MYH11 fusion transcripts in patients with inv(16)-positive acute myeloblastic leukemia by real-time RT-PCR.|
|Krauter J, Hoellge W, Wattjes MP, Nagel S, Heidenreich O, Bunjes D, Ganser A, Heil G|
|Genes, chromosomes & cancer. 2001 ; 30 (4) : 342-348.|
|Analysis of FLT3 length mutations in 1003 patients with acute myeloid leukemia: correlation to cytogenetics, FAB subtype, and prognosis in the AMLCG study and usefulness as a marker for the detection of minimal residual disease.|
|Schnittger S, Schoch C, Dugas M, Kern W, Staib P, Wuchter C, Löffler H, Sauerland CM, Serve H, Büchner T, Haferlach T, Hiddemann W|
|Blood. 2002 ; 100 (1) : 59-66.|
|Screening for MLL tandem duplication in 387 unselected patients with AML identify a prognostically unfavorable subset of AML.|
|Schnittger S, Kinkelin U, Schoch C, Heinecke A, Haase D, Haferlach T, Büchner T, Wörmann B, Hiddemann W, Griesinger F|
|Leukemia : official journal of the Leukemia Society of America, Leukemia Research Fund, U.K. 2000 ; 14 (5) : 796-804.|
|Complemental roles for multiparameter flow cytomety and quantitative RT-PCR for the quantification of minimal residual disease in patients with acute myeloid leukemia|
|Kern W, Schoch C, Haferlach T, Voskova D, Hiddemann W, Schnittger S|
|Blood. 2003 ; 102.|
|Written||2004-09||Wolfgang Kern, Susanne Schnittger, Claudia Schoch, Torsten Haferlach|
|for Leukemia Diagnostics, University Hospital Grosshadern, Department of Medicine III, Ludwig-Maximilians-University, 81366 Muenchen, Germany|
|This paper should be referenced as such :|
|Kern, W ; Schnittger, S ; Schoch, C ; Haferlach, T|
|Monitoring of minimal residual disease in acute myeloid leukemia|
|Atlas Genet Cytogenet Oncol Haematol. 2004;8(4):345-356.|
|Free journal version : [ pdf ] [ DOI ]|
|On line version : http://AtlasGeneticsOncology.org/Deep/MinResDiseaseAMLID20047.htm|
|© Atlas of Genetics and Cytogenetics in Oncology and Haematology||indexed on : Wed Nov 28 17:09:29 CET 2018|
For comments and suggestions or contributions, please contact us