Review

Leukemia (2003) 17, 1013–1034. doi:10.1038/sj.leu.2402922

Detection of minimal residual disease in hematologic malignancies by real-time quantitative PCR: principles, approaches, and laboratory aspects

V H J van der Velden1, A Hochhaus2, G Cazzaniga3, T Szczepanski1,4, J Gabert5 and J J M van Dongen1

  1. 1Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
  2. 2III. Medizinische Universitätsklinik, Fakultät für Klinische Medizin Mannheim der Universität Heidelberg, Mannheim, Germany
  3. 3Centro Ricerca M. Tettamanti, Università di Milano-Bicocca, H. San Gerardo, Monza, Italy
  4. 4Department of Pediatric Hematology and Chemotherapy, Silesian Medical Academy, Zabrze, Poland
  5. 5Department of Biochemistry and Molecular Biology, Faculté de Médicine Nord, Marseille, France

Correspondence: Dr JJM van Dongen, Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Dr Molewaterplein 50, Rotterdam 3015 GE, The Netherlands. Fax: +31 10 408 9456

Received 12 November 2002; Accepted 6 February 2003.

Top

Abstract

Detection of minimal residual disease (MRD) has prognostic value in many hematologic malignancies, including acute lymphoblastic leukemia, acute myeloid leukemia, chronic myeloid leukemia, non-Hodgkin's lymphoma, and multiple myeloma. Quantitative MRD data can be obtained with real-time quantitative PCR (RQ-PCR) analysis of immunoglobulin and T-cell receptor gene rearrangements, breakpoint fusion regions of chromosome aberrations, fusion-gene transcripts, aberrant genes, or aberrantly expressed genes, their application being dependent on the type of disease. RQ-PCR analysis can be performed with SYBR Green I, hydrolysis (TaqMan) probes, or hybridization (LightCycler) probes, as detection system in several RQ-PCR instruments. Dependent on the type of MRD-PCR target, different types of oligonucleotides can be used for specific detection, such as an allele-specific oligonucleotide (ASO) probe, an ASO forward primer, an ASO reverse primer, or germline probe and primers. To assess the quantity and quality of the RNA/DNA, one or more control genes must be included. Finally, the interpretation of RQ-PCR MRD data needs standardized criteria and reporting of MRD data needs international uniformity. Several European networks have now been established and common guidelines for data analysis and for reporting of MRD data are being developed. These networks also include standardization of technology as well as regular quality control rounds, both being essential for the introduction of RQ-PCR-based MRD detection in multicenter clinical treatment protocols.

Keywords:

minimal residual disease (MRD), real-time quantitative PCR (RQ-PCR), leukemia, lymphoma, multiple myeloma, immunoglobulin, T-cell receptor, fusion genes

Top

Introduction

During the last decade, a large number of studies have shown that detection of very low numbers of malignant cells, that is, detection of minimal residual disease (MRD), significantly correlates with clinical outcome in many hematologic malignancies. In certain categories of hematologic malignancies, MRD information is important for clinical decision-making (Table 1).1,2,3,4 For example, detection of MRD during the initial phase of therapy in childhood acute lymphoblastic leukemia (ALL) allows significantly better stratification of patients into risk groups as compared with classical risk groups based on other relevant clinical and biological ALL characteristics.5,6 In acute promyelocytic leukemia (APL) and chronic myeloid leukemia (CML), MRD information at specific time points enables effective early intervention treatment.7,8 Based on these data, MRD detection is now becoming routinely implemented in several treatment protocols and is increasingly used for guiding therapy9 or for evaluation of new treatment modalities, for example, the tyrosine kinase inhibitor Imatinib (STI571) for patient with Philadelphia chromosome-positive CML,10,11 the CD20 antibody Rituximab for patients with B-cell non-Hodgkin's lymphoma (NHL),12,13 or the CD33-calicheamicin conjugate Gemtuzumab Ozogamicin (Mylotarg) for patients with AML.14


Although qualitative MRD information can be highly significant (eg in APL),15 it only gives limited information and does not allow precise analysis of tumor load kinetics. Therefore, several groups have developed (semi)quantitative methods that enable accurate assessment of the number of leukemic cells at consecutive follow-up time points. Quantitative MRD data indeed appeared to be crucial for appropriate evaluation of treatment response in ALL,5,16 AML,8,17,18,19,20,21,22,23,24,25,26,27,28 and CML.7,27,30

Quantitative MRD detection can be achieved by three main techniques: flow cytometric immunophenotyping using tumor-associated aberrant immunophenotypes,31,32,33,34 PCR techniques using tumor-specific DNA (eg immunoglobulin gene rearrangements) targets, and reverse transcriptase (RT) PCR techniques using tumor-specific RNA targets (eg fusion-gene transcripts). In this review, we focus on PCR-based MRD techniques and the possibilities for quantitative MRD detection.

Quantitation of the MRD-PCR target can be performed by comparing the PCR signal (often after blotting and hybridization) with serial dilutions of a standard with known amounts of target DNA or RNA,5,35 by limiting dilution experiments until negative PCR results are obtained,36,37 and by competitive PCR.28,29,38,39 However, 'real-time' quantitative PCR (RQ-PCR) methods have recently been developed and, together with recent GeneScan technology,40,41,42,43 may replace the complex and time-consuming (semi)quantitative PCR analyses. Here, we will discuss the recent technical developments in RQ-PCR analysis, with emphasis on detection of MRD in hematologic malignancies.

Top

RQ-PCR analysis: principles of the techniques

RQ-PCR permits accurate quantitation of PCR products during the exponential phase of the PCR amplification process, which is in full contrast to the classical PCR end point quantitation. Owing to the real-time detection of fluorescent signals during and/or after each subsequent PCR cycle, quantitative PCR data can be obtained in a short period of time and no post-PCR processing is needed, thereby drastically reducing the risk of PCR product contamination. At present, three main types of RQ-PCR techniques are available.

RQ-PCR analysis using SYBR Green I Dye

The simplest RQ-PCR technique is based on detection of PCR products by the DNA-intercalating dye SYBR Green I (Figure 1a). This dye can bind to the minor groove of double-stranded DNA, which greatly enhances its fluorescence. During the consecutive PCR cycles, the amount of double-stranded PCR product will exponentially increase, and therefore more SYBR Green I dye can bind and emit its fluorescence (at 520 nm). The fluorescence signal will gradually increase during the extension phase, will be maximal at the end of each extension phase, and will be low or absent during the denaturation phase.

Figure 1.
Figure 1 - Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the author

Principles of RQ-PCR techniques. (a) SYBR Green I technique. SYBR Green I fluorescence is enormously increased upon binding to double-stranded DNA. During the extension phase, more and more SYBR Green I will bind to the PCR product, resulting in an increased fluorescence. Consequently, during each subsequent PCR cycle more fluorescence signal will be detected. (b) Hydrolysis probe technique. The hydrolysis probe is conjugated with a quencher fluorochrome, which absorbs the fluorescence of the reporter fluorochrome as long as the probe is intact. However, upon amplification of the target sequence, the hydrolysis probe is displaced and subsequently hydrolyzed by the Taq polymerase. This results in the separation of the reporter and quencher fluorochrome and consequently the fluorescence of the reporter fluorochrome becomes detectable. During each consecutive PCR cycle this fluorescence will further increase because of the progressive and exponential accumulation of free reporter fluorochromes. (c) Hybridization probes technique. In this technique one probe is labeled with a donor fluorochrome at the 3' end and a second probe is labeled with an acceptor fluorochrome. When the two fluorochromes are in close vicinity (ie within 1–5 nucleotides), the emitted light of the donor fluorochrome will excite the acceptor fluorochrome. This results in the emission of fluorescence, which subsequently can be detected during the annealing phase and first part of the extension phase of the PCR reaction. After each subsequent PCR cycle more hybridization probes can anneal, resulting in higher fluorescence signals.

Full figure and legend (118K)

It should be noted that SYBR Green I-based detection of PCR products is not sequence specific and that consequently also nonspecifically amplified PCR products and primer dimers will be detected. To evaluate whether specific PCR products have been formed, a melting curve analysis can be performed (Figure 2).44 In such analysis, the temperature is slowly increased from 40 to 95°C with continuous monitoring of the fluorescence. Fluorescence will be high at low temperatures when all DNA will be double stranded, but will drastically decrease around the melting temperature of the DNA products. PCR products of different length or sequence will melt at different temperatures and will be observed as distinct peaks when plotting the first negative derivative of the fluorescence vs temperature (Figure 2). If only the specific PCR product has been formed, only a single peak should be visible in the melting peak profile.

Figure 2.
Figure 2 - Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the author

Melting curve analysis. (a) Amplification curves of several dilutions of the U937 cell line using SYBR Green I-based RQ-PCR analysis of the ABL gene. An increase in fluorescence is observed for all U937 dilutions, but also for the water control, suggesting nonspecific amplification. (b) Melting curve analysis of the same samples shows the presence of the specific PCR product (melting temperature approximately 86°C) in the U937 samples, but not in the water control, indicating that no specific PCR product has been formed. The increase in fluorescence apparently was because of nonspecific amplification or the formation of primer dimers.

Full figure and legend (93K)

SYBR Green I is the most frequently used dye in nonspecific detection systems, but recently other dyes, such as Amplifluor,45 have been developed.

RQ-PCR analysis using hydrolysis probes

RQ-PCR analysis with hydrolysis probes exploits the 5'right arrow3' exonuclease activity of the Thermus aquaticus (Taq) polymerase to detect and quantify specific PCR products as the reaction proceeds (Figure 1b).46 The hydrolysis probe, also referred to as TaqMan probe or double-dye oligonucleotide probe, is conjugated with a reporter fluorochrome (eg FAM, VIC, or JOE) as well as a quencher fluorochrome (eg TAMRA) and should be positioned within the target sequence. As long as the two fluorochromes are in each other's close vicinity, that is, as long as the probe is intact, the fluorescence emitted by the reporter fluorochrome will be 'absorbed' by the quencher fluorochrome. However, upon amplification of the target sequence, the hydrolysis probe is initially displaced from the DNA strand by the Taq polymerase and subsequently hydrolyzed by the 5'right arrow3' exonuclease activity of the Taq polymerase. This results in the separation of the reporter and quencher fluorochrome and consequently the fluorescence of the reporter fluorochrome becomes detectable. During each consecutive PCR cycle, this fluorescence will further increase because of the progressive and exponential accumulation of free reporter fluorochromes.

Traditionally, the hydrolysis probes have been labeled with TAMRA as quencher. However, also several 'dark' fluorochromes have become available; these 'dark' fluorochromes absorb the energy that is emitted by the reporter fluorochrome and release the energy as heat rather than fluorescence. By using these dark quenchers, TAMRA can be used as an extra fluorochrome in multiplex approaches.47

RQ-PCR analysis using hybridization probes

RQ-PCR analysis with hybridization probe uses two juxtaposed sequence-specific probes, one labeled with a donor fluorochrome (eg FAM) at the 3' end and the other labeled with an acceptor fluorochrome (eg LC Red640, LC red 705) at its 5' end (Figure 1c).48 Both probes should hybridize to closely juxtaposed target sequences on the amplified DNA fragment, thereby bringing the two fluorochromes into close proximity (ie within 1–5 nucleotides). Upon excitation of the donor fluorochrome, light with a longer wavelength will be emitted. When the two fluorochromes are in close proximity, the emitted light of the donor fluorochrome will excite the acceptor fluorochrome, a process referred to as fluorescence resonance energy transfer. This results in the emission of fluorescence, which can be detected during the annealing phase and the first part of the extension phase of the PCR reaction.

RQ-PCR analysis using other probes

In addition to the three main approaches described above, other types of probes have recently been introduced. Molecular beacons are oligonucleotide probes that emit fluorescence when hybridized to a target sequence of (c)DNA.49 The molecular beacon probes contain a stem-loop structure, which keeps a fluorochrome and a quencher together. Upon binding to its target sequence, the molecular beacon probe undergoes a conformational change. Consequently, the fluorochrome and the quencher are separated and fluorescence will be emitted.

Scorpions combine a PCR primer with a stem-loop tail containing a fluorochrome and a quencher.50 During PCR, the primer element of the Scorpion is extended at its 3' end and the Scorpion becomes a full PCR product. The recognition sequence of the Scorpion then hybridizes to its complementary target sequence within the same strand of the PCR product, resulting in a conformational change of the Scorpion and the consequent separation of the fluorochrome and the quencher, followed by emission of fluorescence.

Minor groove-binding (MGB) probes are probes (often hydrolysis probes) that are conjugated to a molecule that can strongly bind to the minor groove of the DNA.51 By the addition of the minor groove binder, the overall binding of the probe is largely enhanced and its melting temperature is increased. Consequently, MGB probes can be shorter and thereby potentially more specific than classical probes, especially within AT-rich regions.

Also ResonSense, Hy-Beacon, and Light-up probes52,53 can be used, but these will not further be discussed because they are not routinely used yet. For more information, see http://www.eurogentec.be/upload/Q&Q_PCR_catalogue/
q&q_pcr_cat_chap3_0302.pdf
.

RQ-PCR terms and definitions

In all above-mentioned types of RQ-PCR analysis, the amount of fluorescent signal is exponentially increasing during the exponential phase of the PCR process. Based on the (background) fluorescence intensity, often determined during the first three to 15 PCR cycles, a cutoff level can be determined for specific fluorescence. This threshold (or crossing line) is used to calculate the cycle threshold (CT) (or crossing point) of each sample, that is, the PCR cycle at which the fluorescence exceeds the threshold/crossing line for the first time (Figure 3a). The CT value will be directly proportional to the amount of target sequence present in the sample.

Figure 3.
Figure 3 - Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the author

RQ-PCR plots. (a) An amplification plot of several 10-fold dilutions of a diagnostic leukemia sample is shown. The samples were diluted in normal mononuclear cell (MNC) DNA. Based on the (background) fluorescence intensity detected during the first three to 15 PCR cycles, a threshold is determined. The cycle threshold (CT) is defined as the PCR cycle at which the fluorescence exceeds the threshold for the first time. The CT value will be directly proportional to the amount of target sequence present in the sample. The increase in fluorescence, on the y-axis, is indicated as DeltaRn. (b) Standard curve prepared from the data in (a). The slope of the standard curve is close to the theoretical slope of -3.3. Unknown samples now can be plotted in the standard curve and based on their CT value, the amount of template DNA can be calculated.

Full figure and legend (120K)

Theoretically, the CT values of a nondiluted and two-fold diluted sample should differ by one, whereas the difference between a nondiluted and 10-fold diluted sample should be 3.3. Consequently, the slope of a standard curve (using a 10log scale for the dilutions) should approach -3.3 (Figure 3b). By plotting the CT value of an unknown sample on the standard curve, the amount of target sequence in the sample can be calculated.

Like in all other PCR analyses, appropriate negative and positive controls should be used in RQ-PCR analysis.54 Negative controls generally include no-template controls (eg water or RNA instead of cDNA sample), no-amplification controls (no Taq polymerase added), and negative controls for the PCR target (DNA or cDNA without the PCR target). Positive controls should provide information on the effectiveness of RNA extraction, cDNA synthesis, and (RT-)PCR analysis. Plasmid dilutions can be used to test the performance of the PCR process over time, whereas RNA from PCR target-positive cells or cell lines can be used to test the cDNA synthesis and PCR analysis. Alternatively, lysates of standardized cell line dilutions can be used to check the integrity of the whole system.

In several RQ-PCR analyses, an internal reference fluorochrome (eg ROX) is added to the PCR reaction in order to check for and control sample-related differences in fluorescence detection, for example, as a result of minor variations in volume, quality of the individual optical system, or plate characteristics. The fluorescence of the probe or dye is calculated relative to the fluorescence of the internal reference fluorochrome (normalized fluorescence; Rn). The increase in normalized fluorescence during the PCR is expressed as DeltaRn.

Currently available RQ-PCR equipment

At present, at least seven RQ-PCR instruments are commercially available. The most common ones are listed in Table 2. Roughly, the instruments can be divided in two categories: 'flexible instruments', with a relatively small number of sample positions but with high speed (LightCycler, SmartCycler), and 'high-throughput instruments', with a large number of sample positions but with lower speed (ABI Prisms, i-Cycler, MX-4000).


The choice of the instrument and the RQ-PCR approach is dependent on the requirements of the user. Parameters that may play an important role in the decision-making include the sample volume, speed, and number of samples to be analyzed simultaneously. Given the limited number of sample positions, the 'flexible instruments' are less suitable for MRD analysis, if more than six follow-up samples of one patient or if more than one patient should be analyzed simultaneously. However, they are convenient for fast analysis of a limited number of samples per patient (less than or equal to6).

The costs of the different RQ-PCR instruments varies, but the cost of RQ-PCR analyses are not purely instrument dependent. Costs are also dependent on the RQ-PCR approach (see below). Also the sensitivity that can be reached is more dependent on the choice of RQ-PCR approach than on the type of instrument.

It should be noted that the different RQ-PCR techniques in principle can be applied on all available RQ-PCR instruments.55,56,57 However, which fluorochromes can be excited and what fluorescence can be detected is dependent on the light source and the filter combinations (Table 2). The routinely available filter combinations may not be sufficient to detect all fluorochromes, but filters may easily be adapted to the specific requirements of the user. Comparison of the TaqMan and the LightCycler instruments using hydrolysis probes for consensus regions of immunoglobulin (Ig) and T cell receptor (TCR) genes gave comparable results, both in dilution experiments and in MRD analysis, suggesting that at least some approaches can indeed be exchanged between different instruments (G Cazzaniga et al, Hematol J, 2001; 1 (Suppl. I): 233; abstract).55

Top

MRD-PCR TARGETS

Several PCR targets are available for MRD detection in hematologic malignancies. The three main MRD-PCR target categories are: (1) rearrangements of Ig and/or TCR genes; (2) breakpoint fusion regions of chromosome aberrations and fusion-gene transcripts; and (3) aberrant genes or aberrantly expressed genes. Most of these MRD-PCR targets are highly specific and have no (or very low) background in normal cells, except for aberrantly expressed genes, which can also be expressed in subsets of normal cells. The applicability of these three MRD-PCR target categories varies per disease category (Table 3). For example, in CML and ALL a specific MRD-PCR target can be found in virtually all patients, whereas in AML a disease-specific MRD-PCR target can be found in only 30–50% of patients.


Ig/TCR gene rearrangements

During early B- and T-cell differentiation, the germline variable (V), diversity (D), and joining (J) gene segments of the Ig and TCR gene complexes rearrange and each lymphocyte thereby obtains a particular combination of V–(D–)J segments.58,59,60. Moreover, deletion of germline nucleotides by trimming the ends of the rearranging gene segments as well as random insertion of nucleotides between the joined gene segments creates an enormous junctional diversity. Therefore, the junctional regions of rearranged Ig and TCR genes are unique 'fingerprint-like' sequences that are assumed to be different in each lymphoid (precursor) cell. In principle, all cells of a lymphoid malignancy have a common clonal origin with identically rearranged Ig and/or TCR genes. Consequently, the junctional regions of these Ig/TCR gene rearrangements can be considered as 'DNA-fingerprints' of the malignant cells, which can be used as tumor-specific PCR targets for MRD detection.

To identify the various Ig and/or TCR gene rearrangements in each patient at initial diagnosis, clonal Ig and TCR gene rearrangements are amplified by PCR.35 Discrimination between leukemia-derived and polyclonal PCR products is required and can be achieved by heteroduplex analysis or fluorescent gene scanning.61,62 Monoclonal PCR products can be used for direct sequencing of the junctional regions of the Ig/TCR gene rearrangements. This sequence information allows the design of junctional region-specific oligonucleotides, so-called allele-specific oligonucleotides (ASO). Some clinical questions (eg recognition of high-risk ALL patients) can be answered by MRD techniques with limited sensitivity (10-2–10-3). Such detection levels might be achieved with high-resolution electrophoresis systems such as radioactive fingerprinting or fluorescent GeneScanning, without need for application of patient-specific oligonucleotides.43,63 The latter approach is relatively rapid and cheap, because no sequence information of the junctional region is required.

Ig heavy chain (IGH), Ig kappa (IGK) light chain, TCR gamma (TCRG), and TCR delta (TCRD) gene rearrangements can be analyzed relatively easily with the PCR technique with a restricted number of oligonucleotide primers.35,64,65 Also efficient PCR analysis of Ig lambda (IGL) and TCR beta (TCRB) gene rearrangements has become possible with the recent development of multiplex approaches for the many different V, (D), and J gene segments in IGL and TCRB gene complexes (by the BIOMED-2 Concerted Action BMH4-CT98-3936)(JJM van Dongen et al, Blood 2001; 98: 543; abstract). If Ig genes are used for PCR analysis, one should be aware of somatic hypermutations that can affect the binding sites of the primers used. The extent of these mutations seems high in myeloma (median of 8% nucleotides mutated), compared with 2% in chronic lymphocytic leukemia (CLL) and 4% in follicular lymphoma.66

Ig/TCR gene rearrangements in hematologic malignancies, in particular in ALL, might be prone to subclone formation. The problem of oligoclonality at diagnosis is the uncertainty which clone is going to emerge at relapse and should be monitored with MRD-PCR techniques.67,68,69,70 Moreover, secondary Ig/TCR gene rearrangements (eg replacing pre-existing DH–JH, VH–JH, and Vkappa–Jkappa rearrangements) and ongoing Ig/TCR gene rearrangements (eg continuing VH to DH–JH joining and VH replacements) might occur in the time period between diagnosis and relapse, resulting in loss of leukemia-specific MRD targets.71,72,73,74,75 Fortunately, during V to D–J rearrangements or V replacements the D–J junctional region remains unaffected, leading to the concept of designing the primers around the relatively stable D–J 'common stem' in order to prevent false-negative PCR results.72,73,74,75,76 Furthermore, monoclonal MRD-PCR targets in childhood precursor-B-ALL are characterized by high stability, whereas oligoclonal MRD-PCR targets are often lost at relapse.75,77 To reduce the number of false-negative MRD results, it is now generally accepted that in clinical MRD studies preferably at least two Ig/TCR targets should be used per ALL patient.

Chromosome aberrations with fusion genes (DNA level)

Chromosome aberrations can be employed as tumor-specific MRD-PCR targets in which the PCR primers are chosen at opposite sides of the breakpoint fusion region.78,79,80 Amplification of such hybrid sequences with 'standard-range' PCR is only feasible when the breakpoints of different patients cluster in relatively small breakpoint areas of preferably <2 kb. Despite the clustering of the breakpoints, the nucleotide sequences of the breakpoint fusion regions of chromosome aberrations differ per patient; such sequences therefore represent unique patient-specific MRD-PCR targets. One of the most widely studied chromosomal translocations is t(14;18), involving the BCL2 and IGH genes, which occurs in 90% of patients with follicular lymphoma and is detectable by standard PCR procedures in 60–70% of cases.81 In t(11;14), characteristic for most mantle cell lymphoma (MCL), the BCL1 and IGH genes are involved and in 30–40% of patients the breakpoints are clustered within a restricted area (the MTC region), allowing easy identification at the DNA level by standard PCR analysis.82 A third example concerns the submicroscopic 1p32 (TAL1) deletions, present in 5–15% of T-ALL patients, which also result in patient-specific breakpoints and can be used as MRD-PCR target.35,79,83

In many chromosome aberrations, the breakpoints of different patients are however scattered over large areas up to 200 kb.84,85,86,87,88 This concerns both chromosome aberrations with aberrantly expressed genes (eg overexpression of BCL1 and MYC) and chromosome aberrations leading to fusion genes with fusion-gene transcripts (eg NPM–ALK, MLL–AF4, TEL–AML1, and E2A–PBX1). New techniques for rapid and efficient screening of relatively large breakpoint regions, such as long-distance PCR and long-distance inverse PCR,89,90,91 render breakpoint fusion sites into more feasible MRD-PCR targets. Particularly, if one of the two involved breakpoint regions is relatively small (eg <10 kb), it now becomes possible to identify the breakpoint fusion sites in many patients with a well-defined chromosome aberration, as was recently demonstrated by Wiemels et al for the t(1;19) with the E2A–PBX1 fusion gene.92

Breakpoint fusion sites at the DNA level are highly attractive MRD-PCR targets for several reasons. Firstly, they are directly related to the oncogenic process and therefore stable throughout the disease course, which is in contrast to Ig/TCR gene rearrangements. Secondly, they concern PCR targets at the DNA level instead of at the RNA level, implying that these MRD-PCR targets are less sensitive to degradation. Thirdly, in contrast to fusion-gene transcripts but comparable to Ig/TCR gene rearrangements, only one PCR target is present per cell, which makes quantitation easier. Last but not least, the breakpoint fusion sites at the DNA level differ in each patient so that patient-specific RQ-PCR strategies can be applied. This implies that these MRD-PCR targets are less prone to false-positive results because of cross-contamination of PCR products between patient samples, a frequent but often underestimated problem in MRD-PCR strategies using fusion-gene transcripts.

Chromosome aberrations resulting in fusion-gene transcripts

Several malignancies with chromosome aberrations have characteristic tumor-specific fusion genes, which are transcribed into fusion-gene mRNA molecules that are similar between individual patients despite distinct breakpoints at the DNA level, which are generally located in introns. After reverse transcription into cDNA, these fusion-gene transcripts can therefore be used as appropriate targets for MRD-PCR analysis by choosing primers that are located in the exon sequences at opposite sites of the breakpoint fusion region.88,93 Examples are BCR–ABL fusion-gene transcripts, that are especially observed in adult ALL cases with t(9;22) and CML,94,95,96 and NPM-ALK fusion-gene transcripts in anaplastic large cell lymphoma with t(2;5).97 Fusion-gene transcripts can be identified using a limited set of primers88 and for RQ-PCR analysis a single hydrolysis probe or pair of hybridization probes can be used for the detection of several possible transcript variants (see below).

Aberrant genes and aberrantly expressed genes

In addition to the Ig/TCR gene rearrangements and the chromosome translocations, several other genetic aberrations in hematologic malignancies can be used as MRD-PCR target. A well-known example is the FLT3 gene mutation, which concerns a variable internal tandem duplication (ITD) of the juxtamembrane domain-coding sequence of the FLT3 gene.98 In most patients, the FLT3-ITD involves exon 11, but in some cases intron 11 as well as exon 12 are involved. Of importance, not only an internal sequence is duplicated, but often additional nucleotides are randomly inserted, resulting in a truly patient-specific sequence.99,100 The FLT3-ITD always consists of a multiplicity of three nucleotides, thereby retaining the reading frame. FLT3-ITD leads to ligand-independent autophosphorylation of the receptor, resulting in proliferation and inhibition of apoptosis. FLT3-ITD's have so far mainly been reported in myeloid malignancies, particularly in AML and APL (especially the M3 variant),101 and appear to be associated with an increased risk of relapse.100,102,103,104,105,106 Some recent studies suggest that FLT3-ITD may not be stable between diagnosis and relapse and consequently one should be cautious to use FLT3-ITD as MRD-PCR target.107,108

Wilms' tumor gene WT-1 encodes a zinc-finger transcription factor that functions as a potent transcriptional repressor of several growth factors, including insulin-like growth factor-II and colony-stimulating factor-1.109 Its expression is strongly regulated in a time- and tissue-specific manner. However, the WT-1 gene is overexpressed in virtually all patients with AML and is thought to play a role in maintaining the viability of leukemic cells.110,111,112 Overexpression of WT-1 therefore can be regarded as a specific feature of the malignant cells and consequently can be used as an MRD-PCR target (Table 3).113,114,115,116,117,118 However, it should be noted that WT-1 expression in normal cells can cause a 'background' level.119,120,121,122,123

Recently, a new recurrent and specific cryptic translocation, t(5;14), has been identified in a subset of T-ALL.124 As a result of the translocation the HOX11L2 gene, encoding for a member of the homeobox-containing protein family, is transcriptionally activated. The HOX11L2 gene is not expressed in adult spleen, adult peripheral blood, or bone marrow, but is expressed at very low levels in fetal thymus, fetal spleen, and adult thymus.125 In 20–35% of T-ALL patients, but not in precursor-B-ALL or AML patients, high expression of HOX11L2 was found.125 Altogether, these data indicate that ectopic HOX11L2 expression can be used as an MRD-PCR target (Table 3).

The chromosomal translocation t(11;14)(q13:q32), involving rearrangements of the BCL1 locus, is closely associated with human lymphoid neoplasia affecting mantle cells (MCL, see above). The putative BCL1 proto-oncogene turned out to be the Cyclin D1 (CCND1) gene. Although the observed breakpoints in the BCL1 locus are not tightly clustered, all of the known breakpoints leave the CCND1 coding region structurally intact and result in increased CCND1 transcripts and protein expression.126 So far, quantitative analysis of CCND1 transcript expression has only been used for the diagnosis of MCL and not for MRD detection. However, theoretically this might be possible.

Some recent studies have shown that the PRAME gene (preferentially expressed antigen of melanoma) is expressed at high levels in hematologic malignancies and might be used as MRD-PCR target.127,128,129,130

MRD-PCR targets: advantages and disadvantages

The different MRD-PCR targets have their specific advantages and disadvantages, as summarized in Table 4. It should be noted that some MRD-PCR targets can be analyzed at the DNA as well as at the RNA/cDNA level. This is the case for some fusion-genes and their corresponding fusion-gene transcripts (eg the TAL1 deletion and SIL–TAL1 fusion-gene transcripts) and for FLT3-ITD.


Ig/TCR gene rearrangements are frequently used MRD-PCR targets, as they are widely applicable in lymphoid malignancies.66,77,80,131 The identification of Ig/TCR gene rearrangements at diagnosis and the design of patient-specific oligonucleotides for subsequent MRD detection during follow-up is, however, time-consuming and requires insight in the immunobiology of Ig/TCR gene rearrangements. As described above, loss of MRD-PCR targets may occur by secondary or ongoing rearrangements or by oligoclonality of the target. Although Ig/TCR gene rearrangements are patient-specific MRD-PCR targets, background amplification of comparable rearrangements in normal cells may hamper sensitive detection.132 This background amplification can be dependent on the sample type used (bone marrow, BM vs peripheral blood, PB) and on the time point of sample collection. For example, BM samples obtained during induction therapy may contain high percentages of T cells,133 whereas postinduction and postmaintenance BM samples contain high percentages of regenerating precursor-B-cells.134,135

An advantage of using chromosome aberrations as tumor-specific MRD-PCR targets is their stability during the disease course. However, because of the high sensitivity of PCR techniques, cross-contamination of RT-PCR products between patient samples might severely hamper MRD detection, leading to false-positive results.136 This cross-contamination is an underestimated problem, probably because cross-contamination is difficult to recognize, since leukemia-specific fusion-gene transcript PCR products are not patient specific. This is in contrast to PCR products obtained from breakpoint fusion regions at the DNA level, which can be identified by the use of patient-specific oligonucleotide probes. Consequently, strict precautions should be taken to avoid cross-contamination of RT-PCR products. Most importantly, sample preparation and PCR should be performed in separate rooms, dUTP should be used instead of dTTP, and heat-labile DNA glycosylase should be employed to hydrolyze all contaminating amplification products, but not the cDNA template, prior to the PCR. An additional disadvantage is that fusion-gene transcription might be affected by the cytotoxic treatment, potentially resulting in transcript levels that differ per treatment phase. Finally, one should be aware that RNA-based MRD results are often reported as gene expression levels and not as tumor load.

Top

RQ-PCR approaches

Several approaches can be chosen for RQ-PCR-based detection of MRD in hematologic malignancies, such as nonspecific detection (using SYBR Green I) and sequence-specific detection systems (using probes). In practice, the choice will be dependent on the disease category, the available types of MRD-PCR targets, the required sensitivity, and the knowledge and experience of the involved MRD-PCR laboratory. The most frequently used approaches will be discussed with special emphasis on the position of the probes in sequence-specific detection systems.

Nonspecific detection using SYBR Green I

If RQ-PCR analysis with nonspecific detection is used (eg SYBR Green I), a melting curve analysis always should be made in order to discriminate between specific PCR products and nonspecific PCR products (see Figure 2).44 Furthermore, a nested PCR approach may be needed for reaching sufficiently high sensitivity. In case of patient-specific MRD-PCR targets, such as Ig/TCR gene rearrangements, the first PCR can be performed using forward and reverse primers positioned in the germline parts of the involved gene segments. The second PCR then can be performed using one germline primer and one patient-specific (ASO) primer, in combination with SYBR Green I.137 This procedure may result in a less precise quantitation, unless a limited number of PCR cycles are performed in the first PCR.137

By now, RQ-PCR analysis using SYBR Green I has been described for Ig/TCR,55,137 WT-1,116 t(11;14),138 and t(14;18)138 as MRD-PCR targets.

ASO probe approach

In the ASO probe approach (Figure 4a), the probe is positioned in the tumor-specific sequence, for example, the junctional region of Ig/TCR gene rearrangements55,140,141 or the breakpoint area of fusion genes.17,18,142 The probe is used in combination with a forward and reverse primer, which are positioned in germline sequences opposite of the tumor-specific sequence. If applied for Ig/TCR gene rearrangements, this approach can be compared with the classical dot-blot hybridization techniques5 as both are based on specific detection of the MRD-PCR target within a background of normal PCR products. Primer competition between the MRD-PCR target and comparable Ig/TCR rearrangements in normal cells (involving the same V and J gene segments) may result in lower fluorescence intensities, if the percentage of malignant cells is low (Figure 5a).143

Figure 4.
Figure 4 - Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the author

RQ-PCR approaches. (a) ASO probe approach. (b) ASO forward primer approach. (c) ASO reverse primer approach. (d) non-ASO approach. The four approaches are shown for the different types of MRD-PCR targets. Primers are indicated as arrows, whereas the probe (either one hydrolysis probe or two hybridization probes) is indicated by the oval symbol; the ASO probe or primer is indicated in red. NA: not applicable; FG: fusion gene; wt: wild type; ITD: internal tandem duplication.

Full figure and legend (80K)

Figure 5.
Figure 5 - Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the author

ASO probe and ASO primer approach. Representative example of a dilution experiment of a diagnostic sample from an ALL patient by RQ-PCR analysis of an lg gene rearrangement using the ASO probe approach (a) and the ASO primer approach (b) Note the difference in the increase in fluorescence (Delta Rn) between the ASO probe approach (specific detection of leukemia-specific PCR product in the background of comparable PCR products derived from normal cells) and he ASO primer approach (specific amplification of leukemia-specific PCR products).

Full figure and legend (115K)

Although good sensitivities can be obtained by this approach, a major drawback is that for each individual tumor-specific MRD-PCR target, a fluorogenic probe has to be designed and ordered, which is particularly expensive in case of Ig/TCR gene rearrangements as RQ-PCR targets.

RQ-PCR analysis using the ASO probe approach has been described for Ig/TCR genes,55,140,141 and the AML1-ETO17,18 and BCR-ABL142 fusion-gene transcripts.

ASO forward primer approach

The ASO forward primer approach (Figure 4b) employs a forward primer positioned in the tumor-specific sequence in combination with a germline reverse primer and a germline probe (eg in the J gene segment,132,141,143,144,145 or in FLT3 intron 11146) In contrast to the ASO probe approach, this approach is based on sequence-specific amplification of the MRD-PCR product and consequently the increase in fluorescence at the plateau phase of the PCR reaction is comparable for all percentages of malignant cells (Figure 5b).143

RQ-PCR analysis using the ASO forward primer approach has been described for IGH,141,143,144,145 IGK-Kde,147 TCRG,132 TCRD,148 t(14;18),149 and FLT3-ITD.146

ASO reverse primer approach

The ASO reverse primer approach (Figure 4c) is comparable to the ASO forward primer approach, but with opposite location of the germline primer and probe relative to the tumor-specific sequence.55,150,151,152,153,154

If Ig/TCR gene rearrangements are chosen as MRD-PCR target, the ASO forward primer approach (using a probe generally located in the J gene segments) has several advantages over the ASO reverse primer approach (using a probe generally located in the V gene segments). Firstly, the number of J gene segments is lower than the number of V gene segments, and consequently a lower number of probes need to be made. Secondly, the ASO forward primer approach may be less susceptible to target loss, as a DH–JH stem can be retained in ongoing VH to DH–JH rearrangements and VH replacements.72,76 Thirdly, the occurrence of somatic hypermutations in the V gene segment may result in less optimal primer and probe annealing.155 On the other hand, one could argue that, because of the higher number of V gene segments as compared to J gene segments, the ASO reverse primer approach might sometimes be more sensitive. This is however not supported by our data or data in the literature.132,143,144,151,154

Allele-nonspecific (germline) primer and probe approach

For MRD-PCR targets that are not tumor-specific, such as WT-1, HOX11L2, and fusion-gene transcripts, it is not necessary or possible to apply ASO primers or ASO probes. If aberrant expression of a gene is analyzed, primers and probe are designed on the wild-type (germline) nucleotide sequence of the involved gene, for example, WT-1116 or CCND1.156,157,158,159,160,161 Germline primers and probes can also be applied for fusion-gene transcripts; in these cases, the forward primer is located in an exon from one fusion-gene partner, whereas the reverse primer is located in an exon sequence of the other fusion-gene partner (Figure 4d). If more than one type of fusion-gene transcript exists, additional primers may be designed.88 The position of the probe is mainly dependent on the number and type of fusion-gene transcripts; in most cases one probe, capable of detecting all fusion-gene transcript types, can be designed in combination with several primers.162,163

RQ-PCR analysis using germline primers and probes is frequently used for fusion-gene transcripts (E2A-PBX1,163,164 BCR-ABL p210,27,56,57,163,165,166,167,168,169,170 TEL-AML1,69,163,171,172,173,174,175 BCR-ABL p190,27,163 CBFB-MYH11,19,20,21,163 PML-RARA,22,23,163 AML1-ETO,24,25,26,163 SIL-TAL1,163,176 and MLL-AF4 163), fusion genes (t(14;18),177,178,179,180,181,182 t(11;14),182,183,184) and for detection of wild-type transcripts such as WT-1,117 PRAME,128 and CCND1.156,157,158,159,160,161

Primer and probe design

For the design of primers and probes several software packages are available, such as Primer Express (Applied Biosystems), OLIGO (W. Rychlik, Molecular Biology Insights, Inc., Cascade, CO, USA), and LightCycler Probe Design (Roche). All oligonucleotides should anneal to target sequences free of direct repeats, homopolymeric runs, and inverse repeats. Furthermore, all oligonucleotides should be checked for inter- and intramolecular dimer formation. For primers, special attention should be given to the 3' sequence: this sequence should not form dimers or hairpins and the binding should not be too strong (relatively low DeltaG of the 3' end) in order to prevent nonspecific extension. Both hydrolysis and hybridization probes should have a melting temperature 5–10°C higher than the melting temperature of the primers to ensure strong binding of the probe during the annealing phase.46,185 Probe binding, however, should not be too stable, because this may interfere with the amplification process by hindering the Taq polymerase and consequently may lower the sensitivity of the assay. Finally, attention should be given to frequent polymorphisms in order to avoid underestimation of PCR target.186

As indicated before, two probes are required for the hybridization probe approach. For RQ-PCR targets with a limited sequence area available for probe design, such as Ig/TCR gene rearrangements, the design of a single hydrolysis probe may be easier.57

Top

SENSITIVITY OF RQ-PCR ANALYSIS

For MRD analysis it is not only important to obtain quantitative data, but the assay should also be sufficiently sensitive. The required sensitivity is dependent on the clinical application, but generally a sensitivity of at least 10-3, but preferably 10-4–10-5 should be reached. For example, sensitivities of at least 10-4 are required for recognition of MRD-based low-risk ALL patients,5,16 but if one only aims at the recognition of high-risk ALL patients, a sensitivity of 10-2–10-3 may be sufficient.187

Determining the sensitivity

To determine the sensitivity of the RQ-PCR assay, dilution experiments should be performed. This can be performed with diagnostic material of the patient, a reference standard ('calibrator', eg a cell line), or plasmids. For RT-PCR assays, cell line dilutions are frequently not appropriate since several cell lines express a higher level of fusion-gene transcripts than primary tumor cells.163 The first two types of dilution curves are used for relative quantitation, whereas plasmids can be used for absolute quantitation. By plotting the logarithmic value of the dilution against the CT, a standard curve with a slope of –3.3 should be obtained (see Figure 3b). For the analysis of the sensitivity, the following criteria should be taken into account:

  • The amplification curve should reflect specific amplification as determined by the shape of the curve and (for the ABI Prism instruments) the multicomponent graph.
  • For quantitative data, the RQ-PCR analysis should be reproducible. As shown in Figure 6, the variation in CT values between replicates is generally less than 1.5 if the mean CT value of the replicates is below 36, whereas the variation between replicates is (much) higher, if the mean CT value of the replicates is higher. This implies that one could define two sensitivities: a reproducible sensitivity indicating the level up to which the data can be precisely quantified and a maximal sensitivity indicating the level that still can be detected, although not reproducibly.
  • The specific amplification should be sufficiently separated from the nonspecific (background) amplification. Generally, nonspecific amplification is only detected at a low level and outside the reproducible range of the RQ-PCR (CT value >36). Therefore, it is important to include nonspecific amplification controls (at least in triplicate) in each RQ-PCR analysis. The difference in CT values between the specific and nonspecific amplification should probably at least be 1, but should preferably be greater than or equal to3 in order to limit the chance that a negative sample (with a CT value slightly less than the CT of the nonspecific amplification) is assumed to be positive. This is particularly important for follow-up samples, which might significantly differ in cellular composition, dependent on the time point in the protocol. For example, high percentages of T cells can be found during induction therapy,133 whereas high percentages of precursor-B-cells can be found postinduction and postmaintenance therapy.134,135 Consequently, because of high frequencies of TCR or Ig gene rearrangements, respectively, the nonspecific amplification may be increased as compared to the traditional nonspecific amplification control (normal PB MNC DNA).
  • The standard curve obtained with the dilutions should have an acceptable slope and correlation coefficient (ie the position of the different dilutions relative to the standard curve). Theoretically, the slope of the standard curve should be –3.3 if 10-fold dilutions are used, but in practice a slope between –3.0 and –3.9 will probably be acceptable as long as the correlation coefficient is >0.95. For the determination of the reproducible sensitivity, one may apply stricter criteria for the difference in CT values between two subsequent dilutions (eg DeltaCT between 3 and 4) than for the determination of the maximal sensitivity (eg DeltaCT between 2 and 5).

Figure 6.
Figure 6 - Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the author

Variation in CT values. From over 100 samples, the mean CT value of the replicates (generally triplicates) was plotted against the minimum and maximum CT value of the replicates. As can be seen, the variation in CT values is very low (<1.5) for mean CT values up to 35. However, at higher mean CT values the variation increases significantly, because the RQ-PCR analyses reach their maximal sensitivity.

Full figure and legend (78K)

The above proposed criteria are based on the experience we obtained during the last 5 years in our own laboratories as well as during international meetings with other experienced laboratories: I-BFM-SG MRD Task Force (ER Panzer-Grümayer et al, T Flohr et al), DCLSG ALL9 (CE van der Schoot et al), European pre-BMT MRD Study Group (J Trka et al, H Madsen et al, N Goulden et al, P Bader et al). The described criteria should not be regarded as strict rules, but can serve as guidelines. Common international agreements on such guidelines should be made in the future. This is one of the aims of our recently initiated European Study Group on MRD detection in ALL (ESG-MRD-ALL; coordinators: JJM van Dongen and VHJ van der Velden).

Several examples of dilution experiments, using either plasmids or diagnostic material, are shown in Figure 7. The obtained reproducible and maximal sensitivities are indicated. It should be stressed that the reproducible sensitivity should be used to determine whether the RQ-PCR assay reached the required sensitivity. However, in case of two or more Ig/TCR targets per patient, one could decide to apply less strict criteria (eg the maximum sensitivity) for the second MRD-PCR target.

Figure 7.
Figure 7 - Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the author

Sensitivity of RQ-PCR experiments. (a–f) show Delta examples of dilution experiments with different reproducible and maximal sensitivities. (a) MLL-AF4 plasmids. The 10 copies dilution shows good amplification curves and the difference in CT value between the replicates is <1.5. So, the reproducible sensitivity and the maximal sensitivity are 10 copies. (b) BV173 cell line with BCR-ABL transcripts. The 10-4 dilution shows good amplification with reproducible CT values (difference between replicates <1.5), therefore the reproducible sensitivity is 10-4. As also one of the 10-5 dilutions gives good amplification, the maximal sensitivity is 10-5. (c) T-ALL patient DCLSG 5303 with the SIL–TAL1 fusion gene (DNA level). The 10-4 dilution shows good amplification curves and the difference in CT value between the replicates is <1.5. So, the reproducible sensitivity and the maximal sensitivity are 10-4. (d) Precursor-B-ALL patient DCLSG 6300 with a VH1–JH6c rearrangement. The 10-4 dilution shows good amplification with reproducible CT values (difference between replicates <1.5), therefore the reproducible sensitivity is 10-4. As also one of the 10-5 dilutions gives good amplification, the maximal sensitivity is 10-5. (e) T-ALL patient DCLSG 6329 with a Vitalic gamma8–Jitalic gamma2.3 rearrangement. Although the 10-4 dilution shows good amplification, it is to close (less than 3 CT difference) to the nonspecific amplification observed in normal MNC DNA. Therefore, the reproducible sensitivity is 10-3; the maximal sensitivity is 10-4. (f) Precursor-B-ALL patient DCLSG 6285 with a VH3–JH5b rearrangement. Nonspecific amplification of normal MNC DNA is observed, but the lowest CT is more than 3 CT apart from the specific amplification of the 10-5 dilution. However, the difference in CT value of the two replicates of the 10-5 dilution is >1.5 CT. Therefore, the reproducible sensitivity is 10-4; the maximal sensitivity is 10-5.

Full figure and legend (236K)

Generally, the standard curve is constructed using the threshold suggested by the instrument. However, if the threshold appears to be positioned outside the linear part of the amplification curves, adjustments may be made in order to increase the reliability (and consequently the correlation coefficient). In addition, it may be necessary to standardize the way the standard curve is made, so that different experiments (either performed on different times in one laboratory or performed in different laboratories) can be compared more easily. Such standardization might particularly be important for MRD-PCR targets that are not patient specific, such as fusion-gene transcripts. If patient-specific MRD-PCR targets (such as Ig/TCR gene rearrangements or FLT3-ITD) are employed, standardization is less important as each individual target has its own standard curve. Standardization can be done by moving the threshold in such a way that the identical reference standards (eg a cell line) keep an identical CT value. Alternatively, the threshold can be fixed at a particular value so that also CT values can be compared. The latter method was used within the Europe Against Cancer Program (coordinator: J Gabert).163

Sensitivities of MRD-PCR targets

Using fusion-gene (transcripts) as MRD-PCR targets, detection limits of 10-4–10-6 can easily be reached in most patients because nonspecific amplification can be avoided by selection of appropriate primers and probes and because fusion genes are generally not found in normal cells. In contrast, the sensitivity of MRD-PCR analysis of junctional regions generally ranges from 10-3 to 10-5 and is dependent on several parameters (see below). In Table 5, an overview is given of the reproducible sensitivities that were obtained for Ig/TCR gene rearrangements in our laboratory (Erasmus MC, Rotterdam) using hydrolysis probes. It can be seen that generally sensitivities of at least 10-4 can be reached. For other MRD-PCR targets, such as FLT3-ITD,99,146 WT-1,116,117 and probably also HOX11L2 transcripts, generally sensitivities of at least 10-4 can be obtained.


Parameters that affect the sensitivity

The sensitivity that can be obtained in RQ-PCR analysis is dependent on several parameters. Parameters that are independent of the type of MRD-PCR target include the number of cells investigated, the total amount of DNA/RNA analyzed, the number of PCR cycles, and the use of a single or nested PCR approach.

The sensitivity of fusion genes as MRD-PCR target (DNA level) is mainly dependent on the potential presence of such fusion genes in normal cells. For example, the t(14;18) has been observed in healthy controls.78,181,188 At the RNA level, the main parameters affecting the sensitivity are the expression level of the fusion-gene transcript and the potential presence of such fusion-gene transcripts in normal cells. Several studies now have shown that the expression level of a particular fusion-gene transcript can vary up to 100-fold between patients.20,23,189 Furthermore, some fusion-gene transcripts have been found in healthy controls at very low levels190,191,192,193 or in patients in long-term complete remission,194,195 although these data are sometimes controversial.196,197,198 Nevertheless, the presence of fusion-gene transcripts in nonmalignant cells may hamper detection of MRD, if the sensitivity of the RQ-PCR assay is extremely high (<10-6).

When Ig/TCR gene rearrangements are used as MRD-PCR target, several parameters affect the sensitivity. Junctional regions of complete V–D–J rearrangements are extensive, whereas junctional regions of V–J rearrangements are generally three to four times smaller. Accordingly, the sensitivity of RQ-PCR-based MRD detection of complete IGH gene rearrangements is five to 10-fold more sensitive as compared to IGK–Kde targets (Table 5).143,147 We also observed that the sensitivity of TCRG gene rearrangements in RQ-PCR studies is related to the number of inserted nucleotides in the junctional region.132 The sensitivity of MRD-PCR analysis of Ig/TCR junctional regions is also influenced by the 'background' of normal lymphoid cells with comparable Ig or TCR gene rearrangements. For instance, Vdelta1–Jdelta1 rearrangements frequently occur in T-ALL, but also in a small fraction (0.1–2%) of normal peripheral blood T-cells.199,200 Vitalic gammaI–Jitalic gamma1.3 and Vitalic gammaI–Jitalic gamma2.3 joinings comprise 50–60% of TCRG gene rearrangements in ALL, but are also found in a large fraction (70–90%) of normal T lymphocytes. Taking into account the abundance of normal T lymphocytes with polyclonal Vitalic gamma–Jitalic gamma joinings, particularly in postinduction follow-up samples,133 it is not surprising that RQ-PCR analysis of short Vitalic gamma–Jitalic gamma junctional regions is generally less sensitive (10-2–10-4) than MRD-PCR analysis of long Vdelta1–Jdelta1 junctional regions (10-3–10-5). Similarly, IGH MRD-PCR targets involving the JH4, JH5, or JH6 gene segments result more often in nonspecific amplification of normal cells,143 as these JH gene segments are most frequently used in normal cells.201,202,203,204 If nonspecific amplification of normal cells is observed, increasing the annealing temperature may increase the specificity and thus the sensitivity. Alternatively, a shorter ASO primer could be designed.

The sensitivity of FLT3-ITD and HOX11L2 RQ-PCR analysis is mainly dependent on the selected primers and probe, as the sensitivity will not be affected by the presence of comparable sequences in normal cells. This is in contrast with RQ-PCR-based analysis of WT-1 transcripts, which are also expressed in normal cells, albeit at low levels.119,120,121,122,123

Top

CONTROL GENES

Selection of control genes

To obtain quantitative MRD-PCR data, it is crucial that control genes are included in the analysis to correct for the quantity and quality of the DNA or RNA/cDNA. When DNA sequences are used as MRD-PCR target, one should select a control gene that is located on a chromosome that is not frequently gained or lost in the studied type of malignancy. The albumin gene, located on chromosome 4, is often used,132,140,147,181,205 but other genes (eg beta-actin,141,177,206 beta-globin,139,152 and GAPDH 153,154) can be used as well.

Selection of an appropriate control gene for RNA/cDNA targets requires additional criteria. These include a similar expression level in different cell types, no relation with cell cycle or cell activation, a stability comparable to the MRD-PCR target, and an expression level comparable with the MRD-PCR target. Within the Europe Against Cancer Program, a detailed investigation has recently been performed for selection of control genes in leukemia studies.207 After extensive analysis of ABL, GUS, and B2M in a large series of fresh samples, ABL appeared to be most appropriate since its expression was stable and comparable between BM and PB and between normal and leukemic samples (Beillard et al, submitted). Other control genes that have been described in various assays include G6PD,27 GAPDH,17,22,25 TBP,175 PBGD,23,173 beta-actin,18,117,118 18S,20 and HPRT.208 Since genomic DNA frequently contaminates RNA preparations, it is essential to ensure that the primers employed are specific to cDNA. Although some groups have used beta-actin as a control gene, this is generally considered to be unsatisfactory in the context of MRD because of its high expression and the presence of multiple processed pseudogenes. Such processed pseudogenes are also known for GAPDH.209,210

Using control genes for quantitation

By analyzing a control gene, the MRD level as determined by the MRD-PCR target can be corrected for the amount and 'amplifiability' of DNA or RNA/cDNA in the sample. This can be done by two main methods: the standard curve method and the comparative CT method.

In the standard curve method, dilution series from a calibrator are prepared for both the target and the control gene. For each patient sample, the amount of target and control gene is determined from the appropriate standard curve. The target amount is subsequently divided by the control gene amount to obtain a normalized target value. The calibrator can be a plasmid, the diagnostic sample from the same patient, or any other positive sample (eg a cell line).

The comparative CT method uses absolute CT values to calculate the control-gene-normalized amount of target relative to a calibrator. First, the difference in CT (DeltaCT) between the target and the control gene is calculated for both the patient sample and the calibrator. Second, the difference in DeltaCT between the patient sample and calibrator is determined (DeltaDeltaCT=DeltaCTsample-DeltaCTcalibrator). Finally, the control-gene-normalized amount of target relative to a calibrator is calculated by using the formula 2-DeltaDeltaCT. For the DeltaDeltaCT calculation to be valid, the efficiency of the target RQ-PCR and the control gene RQ-PCR must be comparable. This can be determined by analyzing the DeltaCT for different dilutions of the template; if the efficiencies of the two RQ-PCRs are approximately equal, the plot of log input versus DeltaCT should have a slope less than 0.1.

If the control gene RQ-PCR shows a lower template amount than expected, special caution should be taken for several reasons. First, this lower value can be the result of inhibition, which can be found in a substantial number of BM or PB samples (5–10%).211 The degree of inhibition of the control gene RQ-PCR is, however, not always identical to the degree of inhibition in the MRD target RQ-PCR, and consequently an overestimation or underestimation of the MRD level can be made. We have recently found that bovine serum albumin (BSA) prevents inhibition and therefore recommend the routine addition of 0.04% BSA to all RQ-PCR reactions.211 Second, a lower input of template will result in loss of sensitivity. This especially will be relevant in follow-up samples that seem to be MRD negative. For such samples, it is important to estimate the maximal MRD level that can be detected. Such estimation can be made by calculating the difference in control gene CT values of the sample and the calibrator (DeltaCT), followed by multiplying the sensitivity obtained with the calibrator by 2-DeltaCT (eg if DeltaCT=2, the sensitivity will be four times lower). This estimation cannot be made when plasmids are used as the calibrator. Alternatively, one could establish acceptable ranges for control gene values and use these ranges for exclusion of poor samples.207

Top

EXPRESSION OF DATA

Possibilities for data expression

At present, at least three possibilities exist for the expression of MRD data. Firstly, MRD levels can be determined relative to the diagnostic sample. Secondly, MRD levels can be expressed relative to a calibrator, for example, a cell line. Thirdly, data can be expressed as copy numbers by using plasmid standard curves.

For tumor-specific MRD-PCR targets at the DNA level, such as Ig/TCR gene rearrangements55,132,137,140,144,205 and FLT3-ITD,146 expression of MRD data relative to the diagnostic sample is an often used and easy method, as no calibrators (either cell lines or plasmids) are routinely available. This method is also suitable for other MRD-PCR targets,172 the advantage being that different MRD-PCR targets analyzed within the same patient can easily be compared. Another advantage is that data are relatively easy to understand, as they are presented as percentage of malignant cells relative to the diagnostic sample. Nevertheless, several studies have used cloned rearrangements for preparation of the standard curve,55,151,152,154,155 which may especially be useful if diagnostic material is not or insufficiently available.

For MRD-PCR targets that are not patient specific, such as fusion-gene transcripts17,25,56,142,166,173,175,176 or WT-1 expression,116,117 a calibrator can be used. Such a calibrator can be a cell line known to express the MRD-PCR target of interest. By making a standard curve of the calibrator, the MRD level of an unknown sample can be determined relative to the calibrator. Although this method may work well within one laboratory, it seems to be less appropriate for multicenter studies. Furthermore, the obtained data are more difficult to interpret and as they are relative to an arbitrary calibrator and consequently do not directly reflect the percentage of malignant cells.

Expression of MRD data as (normalized) copy numbers is most frequently used for fusion-gene transcripts,18,19,20,22,23,26,27,57,162,165,168,169,171,174,212,213 but can also be used for other MRD-PCR targets.117,180 Plasmids have the advantage that they are stable and robust, and thus can be used for the analysis of intra- and interlaboratory RQ-PCR variations. On the other hand, using plasmids greatly increases the risk of contamination and thereby of false-positive results. Furthermore (normalized) copy numbers are more difficult to interpret, especially if it concerns RNA MRD-PCR targets. Firstly, expression levels of a particular fusion-gene transcript may vary between patients; secondly, expression levels of different fusion genes vary. Consequently, only experienced persons can interpret the obtained 'absolute' (copy number) data, because the result of RNA-based RQ-PCR MRD assays is dependent on both the number of residual tumor cells as well as the median expression level of the MRD-PCR target in the malignant cells. Nevertheless, the kinetics of response to therapy (ie MRD data obtained at multiple time points) are probably more important than absolute MRD data obtained at a single time point.

Quantitation of MRD data

Although RQ-PCR is a quantitative technique, it does not mean that the obtained data can be quantified in each case. In our opinion, data can only be quantified if the MRD level is within the reproducible range (ie higher or equal to the reproducible sensitivity). Outside that range, data are no longer fully reproducible and therefore cannot be quantified.

A sample can be considered as positive, if the CT value of one or more of the replicates of that sample is clearly outside the CT range of the negative controls (eg at least one cycle lower than the lowest CT value of the nonspecific amplification) and within certain distance (eg four cycles) from the final dilution step used for the maximal sensitivity. If plasmids are used as calibrators, a sample can be considered as positive if the CT value is lower than the CT value of the intercept (defining the detection of one molecule) plus one.163

A sample can be considered as negative, if no amplification is observed at all, if the lowest CT value of the target is within or close to the CT range of the negative controls (eg within one CT from the lowest CT value of the nonspecific amplification), or if all CT values are too far (eg more than four cycles) apart from the highest CT of the maximal sensitivity.

A positive sample with a CT value above the CT value of the reproducible sensitivity should be reported as positive, with a maximal MRD level lower than the reproducible sensitivity (eg +,<10-4). It should be noted that a correction for the sensitivity has to be made as described above, if the DNA/RNA quantity and quality as assessed by a control gene is not appropriate. A comparable approach has recently been described.175 Logically, very low MRD levels (below the reproducible sensitivity) should always be judged with caution; especially, if only one well of the replicates is positive and if the employed MRD-PCR target is not tumor-specific. In such case reanalysis of the doubtful sample(s) may be required.

Top

CONCLUSIONS AND FUTURE STEPS

Since their introduction in the late 1990s (1997/1998), RQ-PCR techniques have become rapidly implemented for MRD studies in patients treated for hematologic malignancies. Several RQ-PCR instruments are nowadays available and different principles and approaches can be used. The currently available MRD-PCR targets make it possible to detect MRD in most patients and for several diseases MRD monitoring is already used for therapy guidance in clinical protocols.

The introduction of RQ-PCR techniques for MRD detection in clinical treatment protocols needs the development of international guidelines and criteria for the data analysis and laboratory reports. Furthermore, quality control rounds are required to monitor the performance of the participating laboratories and to further improve and standardize RQ-PCR analyses. For these purposes, international collaboration is essential. In Europe, several networks have been established; the development of common guidelines and quality control rounds are essential parts of these networks. These networks include the Europe Against Cancer Program (RQ-PCR analysis of fusion gene transcripts; coordinator: J Gabert), the European Study Group on MRD detection in ALL (coordinators: JJM van Dongen and VHJ van der Velden), the MRD Task Force of the I-BFM-SG (coordinators: JJM van Dongen and M Schrappe), the International Study Group on Standardization of Residual Disease Detection in BCR–ABL positive leukemia (coordinator: A Hochhaus), and the International Collaborative Study for Characterization of a Reference Material for BCR–ABL (MBCR) RNA Nucleic Acid Quantification by Real-Time Amplification Assays (coordinators: J Saldanha and J Gabert). These collaborations should further facilitate the introduction of RQ-PCR-based MRD detection in multicenter clinical treatment protocols.

Top

References

  1. Szczepanski T, Orfao A, van der Velden VH, San Miguel JF, van Dongen JJ. Minimal residual disease in leukaemia patients. Lancet Oncol 2001; 2: 409–417. | Article | PubMed | ChemPort |
  2. Schultze JL, Gribben JG. Minimal residual disease in non-Hodgkin's lymphoma. Biomed Pharmacother 1996; 50: 451–458.
  3. Anderson KC. Novel biologically based therapies for myeloma. Cancer J 2001; 7: S19–S23.
  4. Sharp JG, Chan WC. Detection and relevance of minimal disease in lymphomas. Cancer Metast Rev 1999; 18: 127–142.
  5. van Dongen JJ, Seriu T, Panzer-Grumayer ER, Biondi A, Pongers-Willemse MJ, Corral L et al. Prognostic value of minimal residual disease in acute lymphoblastic leukaemia in childhood. Lancet 1998; 352: 1731–1738. | Article | PubMed | ISI | ChemPort |
  6. Pui CH, Campana D. New definition of remission in childhood acute lymphoblastic leukemia. Leukemia 2000; 14: 783–785. | Article | PubMed | ChemPort |
  7. Hochhaus A, Weisser A, La Rosee P, Emig M, Muller MC, Saussele S et al. Detection and quantification of residual disease in chronic myelogenous leukemia. Leukemia 2000; 14: 998–1005. | Article | PubMed | ISI | ChemPort |
  8. Lo Coco F, Diverio D, Falini B, Biondi A, Nervi C, Pelicci PG. Genetic diagnosis and molecular monitoring in the management of acute promyelocytic leukemia. Blood 1999; 94: 12–22. | PubMed |
  9. Schrappe M. Risk-adapted therapy: lessons from childhood acute lymphoblastic leukemia. Hematol J 2002; 3: 127–132.
  10. Stentoft J, Pallisgaard N, Kjeldsen E, Holm MS, Nielsen JL, Hokland P. Kinetics of BCR–ABL fusion transcript levels in chronic myeloid leukemia patients treated with STI571 measured by quantitative real-time polymerase chain reaction. Eur J Haematol 2001; 67: 302–308. | Article | PubMed | ISI | ChemPort |
  11. Merx K, Muller MC, Kreil S, Lahaye T, Paschka P, Schoch C et al. Early reduction of BCR-ABL mRNA transcript levels predicts cytogenetic response in chronic phase CML patients treated with imatinib after failure of interferon alpha. Leukemia 2002; 16: 1579–1583. | Article | PubMed | ISI | ChemPort |
  12. Maloney DG, Grillo-Lopez AJ, White CA, Bodkin D, Schilder RJ, Neidhart JA et al. IDEC-C2B8 (Rituximab) anti-CD20 monoclonal antibody therapy in patients with relapsed low-grade non-Hodgkin's lymphoma. Blood 1997; 90: 2188–2195. | PubMed | ISI | ChemPort |
  13. Rambaldi A, Lazzari M, Manzoni C, Carlotti E, Arcaini L, Baccarani M et al. Monitoring of minimal residual disease after CHOP and rituximab in previously untreated patients with follicular lymphoma. Blood 2002; 99: 856–862. | Article | PubMed | ISI | ChemPort |
  14. Sievers EL. Efficacy and safety of gemtuzumab ozogamicin in patients with CD33-positive acute myeloid leukaemia in first relapse. Exp Opin Biol Ther 2001; 1: 893–901. | Article | ChemPort |
  15. Grimwade D. The significance of minimal residual disease in patients with t(15;17). Best Pract Res Clin Haematol 2002; 15: 137–158.
  16. Willemse MJ, Seriu T, Hettinger K, d'Aniello E, Hop WC, Panzer-Grumayer ER et al. Detection of minimal residual disease identifies differences in treatment response between T-ALL and precursor B-ALL. Blood 2002; 99: 4386–4393. | Article | PubMed | ChemPort |
  17. Sugimoto T, Das H, Imoto S, Murayama T, Gomyo H, Chakraborty S. Quantitation of minimal residual disease in t(8;21)-positive acute myelogenous leukemia patients using real-time quantitative RT-PCR. Am J Hematol 2000; 64: 101–106. | PubMed |
  18. Marcucci G, Livak KJ, Bi W, Strout MP, Bloomfield CD, Caligiuri MA. Detection of minimal residual disease in patients with AML1/ETO-associated acute myeloid leukemia using a novel quantitative reverse transcription polymerase chain reaction assay. Leukemia 1998; 12: 1482–1489. | Article | PubMed | ISI | ChemPort |
  19. Buonamici S, Ottaviani E, Testoni N, Montefusco V, Visani G, Bonifazi F et al. 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. Blood 2002; 99: 443–449. | Article | PubMed | ChemPort |
  20. Marcucci G, Caligiuri MA, Dohner H, Archer KJ, Schlenk RF, Dohner K et al. Quantification of CBFbeta/MYH11 fusion transcript by real time RT-PCR in patients with INV(16) acute myeloid leukemia. Leukemia 2001; 15: 1072–1080. | Article | PubMed | ChemPort |
  21. Van Der Reijden BA, Simons A, Luiten E, Van Der Poel SC, Hogenbirk PE, Tonnissen E et al. Minimal residual disease quantification in patients with acute myeloid leukaemia and inv(16)/CBFB-MYH11 gene fusion. Br J Haematol 2002; 118: 411–418. | Article | PubMed | ISI | ChemPort |
  22. Slack JL, Bi W, Livak KJ, Beaubier N, Yu M, Clark M et al. Pre-clinical validation of a novel, highly sensitive assay to detect PML-RARalpha mRNA using real-time reverse-transcription polymerase chain reaction. J Mol Diagn 2001; 3: 141–149. | PubMed |
  23. Cassinat B, Zassadowski F, Balitrand N, Barbey C, Rain JD, Fenaux P et al. Quantitation of minimal residual disease in acute promyelocytic leukemia patients with t(15;17) translocation using real-time RT-PCR. Leukemia 2000; 14: 324–328. | Article | PubMed | ISI | ChemPort |
  24. Barragan E, Bolufer P, Moreno I, Martin G, Nomdedeu J, Brunet S et al. Quantitative detection of AML1-ETO rearrangement by real-time RT-PCR using fluorescently labeled probes. Leukemia Lymphoma 2001; 42: 747–756.
  25. Kondo M, Kudo K, Kimura H, Inaba J, Kato K, Kojima S et al. Real-time quantitative reverse transcription-polymerase chain reaction for the detection of AML1-MTG8 fusion transcripts in t(8;21)-positive acute myelogenous leukemia. Leukemia Res 2000; 24: 951–956.
  26. Wattjes MP, Krauter J, Nagel S, Heidenreich O, Ganser A, Heil G. Comparison of nested competitive RT-PCR and real-time RT-PCR for the detection and quantification of AML1/MTG8 fusion transcripts in t(8;21) positive acute myelogenous leukemia. Leukemia 2000; 14: 329–335. | Article | PubMed | ChemPort |
  27. Emig M, Saussele S, Wittor H, Weisser A, Reiter A, Willer A et al. Accurate and rapid analysis of residual disease in patients with CML using specific fluorescent hybridization probes for real time quantitative RT-PCR. Leukemia 1999; 13: 1825–1832. | Article | PubMed | ISI | ChemPort |
  28. Cross NC, Feng L, Chase A, Bungey J, Hughes TP, Goldman JM. Competitive polymerase chain reaction to estimate the number of BCR–ABL transcripts in chronic myeloid leukemia patients after bone marrow transplantation. Blood 1993; 82: 1929–1936. | PubMed | ISI | ChemPort |
  29. Hochhaus A, Reiter A, Saussele S, Reichert A, Emig M, Kaeda J et al. Molecular heterogeneity in complete cytogenetic responders after interferon-alpha therapy for chronic myelogenous leukemia: low levels of minimal residual disease are associated with continuing remission. German CML Study Group and the UK MRC CML Study Group. Blood 2000; 95: 62–66. | PubMed | ISI | ChemPort |
  30. Lin F, van Rhee F, Goldman JM, Cross NC. Kinetics of increasing BCR-ABL transcript numbers in chronic myeloid leukemia patients who relapse after bone marrow transplantation. Blood 1996; 87: 4473–4478. | PubMed | ISI | ChemPort |
  31. San Miguel JF, Almeida J, Mateo G, Blade J, Lopez-Berges C, Caballero D et al. Immunophenotypic evaluation of the plasma cell compartment in multiple myeloma: a tool for comparing the efficacy of different treatment strategies and predicting outcome. Blood 2002; 99: 1853–1856. | Article | PubMed | ISI |
  32. San Miguel JF, Martinez A, Macedo A, Vidriales MB, Lopez-Berges C, Gonzalez M. Immunophenotyping investigation of minimal residual disease is a useful approach for predicting relapse in acute myeloid leukemia patients. Blood 1997; 90: 2465–2470. | PubMed | ChemPort |
  33. Rawstron AC, Kennedy B, Evans PA, Davies FE, Richards SJ, Haynes AP et al. Quantitation of minimal disease levels in chronic lymphocytic leukemia using a sensitive flow cytometric assay improves the prediction of outcome and can be used to optimize therapy. Blood 2001; 98: 29–35. | Article | PubMed | ISI | ChemPort |
  34. Coustan-Smith E, Behm FG, Sanchez J, Boyett JM, Hancock ML, Raimondi SC et al. Immunological detection of minimal residual disease in children with acute lymphoblastic leukaemia. Lancet 1998; 351: 550–554. | Article | PubMed | ChemPort |
  35. Pongers-Willemse MJ, Seriu T, Stolz F, d'Aniello E, Gameiro P, Pisa P et al. Primers and protocols for standardized detection of minimal residual disease in acute lymphoblastic leukemia using immunoglobulin and T cell receptor gene rearrangements and TAL1 deletions as PCR targets: report of the BIOMED-1 CONCERTED ACTION: investigation of minimal residual disease in acute leukemia. Leukemia 1999; 13: 110–118. | Article | PubMed | ISI | ChemPort |
  36. Sykes PJ, Neoh SH, Brisco MJ, Hughes E, Condon J, Morley AA. Quantitation of targets for PCR by use of limiting dilution. Biotechniques 1992; 13: 444–449. | PubMed | ISI | ChemPort |
  37. Vescio RA, Han EJ, Schiller GJ, Lee JC, Wu CH, Cao J et al. Quantitative comparison of multiple myeloma tumor contamination in bone marrow harvest and leukapheresis autografts. Bone Marrow Transplant 1996; 18: 103–110. | PubMed | ChemPort |
  38. Cave H, Guidal C, Rohrlich P, Delfau MH, Broyart A, Lescoeur B et al. Prospective monitoring and quantitation of residual blasts in childhood acute lymphoblastic leukemia by polymerase chain reaction study of delta and gamma T-cell receptor genes. Blood 1994; 83: 1892–1902. | PubMed | ChemPort |
  39. Tobal K, Yin JA. Monitoring of minimal residual disease by quantitative reverse transcriptase-polymerase chain reaction for AML1-MTG8 transcripts in AML-M2 with t(8; 21). Blood 1996; 88: 3704–3709. | PubMed | ChemPort |
  40. Galimberti S, Brizzi F, Mameli M, Petrini M. An advantageous method to evaluate IgH rearrangement and its role in minimal residual disease detection. Leukemia Res 1999; 23: 921–929.
  41. Evans PA, Short MA, Owen RG, Jack AS, Forsyth PD, Shiach CR et al. Residual disease detection using fluorescent polymerase chain reaction at 20 weeks of therapy predicts clinical outcome in childhood acute lymphoblastic leukemia. J Clin Oncol 1998; 16: 3616–3627. | PubMed |
  42. Luthra R, McBride JA, Hai S, Cabanillas F, Pugh WC. The application of fluorescence-based PCR and PCR-SSCP to monitor the clonal relationship of cells bearing the t(14;18)(q32;q21) in sequential biopsy specimens from patients with follicle center cell lymphoma. Diagn Mol Pathol 1997; 6: 71–77. | Article | PubMed | ISI | ChemPort |
  43. Delabesse E, Burtin ML, Millien C, Madonik A, Arnulf B, Beldjord K et al. Rapid, multifluorescent TCRG Vgamma and Jgamma typing: application to T cell acute lymphoblastic leukemia and to the detection of minor clonal populations. Leukemia 2000; 14: 1143–1152. | Article | PubMed | ChemPort |
  44. Ririe KM, Rasmussen RP, Wittwer CT. Product differentiation by analysis of DNA melting curves during the polymerase chain reaction. Anal Biochem 1997; 245: 154–160. | Article | PubMed | ISI | ChemPort |
  45. Uehara H, Nardone G, Nazarenko I, Hohman RJ. Detection of telomerase activity utilizing energy transfer primers: comparison with gel- and ELISA-based detection. Biotechniques 1999; 26: 552–558. | PubMed | ISI | ChemPort |
  46. Holland PM, Abramson RD, Watson R, Gelfand DH. Detection of specific polymerase chain reaction product by utilizing the 5'–3' exonuclease activity of Thermus aquaticus DNA polymerase. Proc Natl Acad Sci USA 1991; 88: 7276–7280. | Article | PubMed | ChemPort |
  47. Kreuzer KA, Bohn A, Lupberger J, Solassol J, le Coutre P, Schmidt CA. Simultaneous absolute quantification of target and control templates by real-time fluorescence reverse transcription-PCR using 4-(4'-dimethylaminophenylazo)benzoic acid as a dark quencher dye. Clin Chem 2001; 47: 486–490.
  48. Wittwer CT, Ririe KM, Andrew RV, David DA, Gundry RA, Balis UJ. The LightCycler: a microvolume multisample fluorimeter with rapid temperature control. Biotechniques 1997; 22: 176–181. | PubMed | ISI | ChemPort |
  49. Tyagi S, Kramer FR. Molecular beacons: probes that fluoresce upon hybridization. Nat Biotechnol 1996; 14: 303–308. | Article | PubMed | ISI | ChemPort |
  50. Thelwell N, Millington S, Solinas A, Booth J, Brown T. Mode of action and application of Scorpion primers to mutation detection. Nucleic Acids Res 2000; 28: 3752–3761. | PubMed |
  51. de Kok JB, Wiegerinck ET, Giesendorf BA, Swinkels DW, Walburger DK, Afonina IA et al. Rapid genotyping of single nucleotide polymorphisms using novel minor groove binding DNA oligonucleotides (MGB probes): an improved real time PCR method for simultaneous detection of C282Y and H63D mutations in the HFE gene associated with hereditary hemochromatosis. Hum Mutat 2002; 19: 554–559. | Article | PubMed | ChemPort |
  52. Isacsson J, Cao H, Ohlsson L, Nordgren S, Svanvik N, Westman G et al. Rapid and specific detection of PCR products using light-up probes. Mol Cell Probes 2000; 14: 321–328. | Article | PubMed |
  53. Svanvik N, Stahlberg A, Sehlstedt U, Sjoback R, Kubista M. Detection of PCR products in real time using light-up probes. Anal Biochem 2000; 287: 179–182.
  54. Lion T. Chimerism testing after allogeneic stem cell transplantation: importance of timing and optimal technique for testing in different clinical–biological situations. Leukemia 2001; 15: 292. | Article | PubMed | ISI |
  55. Eckert C, Landt O, Taube T, Seeger K, Beyermann B, Proba J et al. Potential of LightCycler technology for quantification of minimal residual disease in childhood acute lymphoblastic leukemia. Leukemia 2000; 14: 316–323. | Article | PubMed | ISI | ChemPort |
  56. Elmaagacli AH, Beelen DW, Opalka B, Seeber S, Schaefer UW. The amount of BCR–ABL fusion transcripts detected by the real-time quantitative polymerase chain reaction method in patients with Philadelphia chromosome positive chronic myeloid leukemia correlates with the disease stage. Ann Hematol 2000; 79: 424–431. | Article | PubMed | ISI | ChemPort |
  57. Kreuzer KA, Lass U, Bohn A, Landt O, Schmidt CA. LightCycler technology for the quantitation of bcr/abl fusion transcripts. Cancer Res 1999; 59: 3171–3174. | PubMed | ISI | ChemPort |
  58. Davis MM, Bjorkman PJ. T-cell antigen receptor genes and T-cell recognition. Nature 1988; 334: 395–402. | Article | PubMed | ISI | ChemPort |
  59. Tonegawa S. Somatic generation of antibody diversity. Nature 1983; 302: 575–581. | Article | PubMed | ISI | ChemPort |
  60. van Dongen JJ, Wolvers-Tettero IL. Analysis of immunoglobulin and T cell receptor genes Part I: basic and technical aspects. Clin Chim Acta 1991; 198: 1–91. | Article | PubMed | ChemPort |
  61. Langerak AW, Szczepanski T, van der Burg M, Wolvers-Tettero IL, van Dongen JJ. Heteroduplex PCR analysis of rearranged T cell receptor genes for clonality assessment in suspect T cell proliferations. Leukemia 1997; 11: 2192–2199. | Article | PubMed | ISI | ChemPort |
  62. Linke B, Bolz I, Fayyazi A, von Hofen M, Pott C, Bertram J et al. Automated high resolution PCR fragment analysis for identification of clonally rearranged immunoglobulin heavy chain genes. Leukemia 1997; 11: 1055–1062. | Article | PubMed |
  63. Guidal C, Vilmer E, Grandchamp B, Cave H. A competitive PCR-based method using TCRD, TCRG and IGH rearrangements for rapid detection of patients with high levels of minimal residual disease in acute lymphoblastic leukemia. Leukemia 2002; 16: 762–764. | Article | PubMed |
  64. Szczepanski T, Willemse MJ, van Wering ER, van Weerden JF, Kamps WA, van Dongen JJ. Precursor-B-ALL with D(H)-J(H) gene rearrangements have an immature immunogenotype with a high frequency of oligoclonality and hyperdiploidy of chromosome 14. Leukemia 2001; 15: 1415–1423. | Article | PubMed | ChemPort |
  65. Szczepanski T, Langerak AW, Willemse MJ, Wolvers-Tettero IL, van Wering ER, van Dongen JJ. T cell receptor gamma (TCRG) gene rearrangements in T cell acute lymphoblastic leukemia refelct 'end-stage' recombinations: implications for minimal residual disease monitoring. Leukemia 2000; 14: 1208–1214. | Article | PubMed |
  66. Davies FE, Rawstron AC, Owen RG, Morgan GJ. Minimal residual disease monitoring in multiple myeloma. Best Pract Res Clin Haematol 2002; 15: 197–222.
  67. Beishuizen A, Hahlen K, Hagemeijer A, Verhoeven MA, Hooijkaas H, Adriaansen HJ et al. Multiple rearranged immunoglobulin genes in childhood acute lymphoblastic leukemia of precursor B-cell origin. Leukemia 1991; 5: 657–667. | PubMed | ISI | ChemPort |
  68. Beishuizen A, Hahlen K, van Wering ER, van Dongen JJM. Detection of minimal residual disease in childhood leukemia with the polymerase chain reaction. N Engl J Med 1991; 324: 772–775.
  69. de Haas V, Verhagen OJ, von dem Borne AE, Kroes W, van den Berg H, van der Schoot CE. Quantification of minimal residual disease in children with oligoclonal B-precursor acute lymphoblastic leukemia indicates that the clones that grow out during relapse already have the slowest rate of reduction during induction therapy. Leukemia 2001; 15: 134–140. | Article | PubMed | ChemPort |
  70. Moreira I, Papaioannou M, Mortuza FY, Gameiro P, Palmisano GL, Harrison CJ et al. Heterogeneity of VH-JH gene rearrangement patterns: an insight into the biology of B cell precursor ALL. Leukemia 2001; 15: 1527–1536. | Article | PubMed |
  71. Bird J, Galili N, Link M, Stites D, Sklar J. Continuing rearrangement but absence of somatic hypermutation in immunoglobulin genes of human B cell precursor leukemia. J Exp Med 1988; 168: 229–245. | Article | PubMed | ChemPort |
  72. Kitchingman GR. Immunoglobulin heavy chain gene VH-D junctional diversity at diagnosis in patients with acute lymphoblastic leukemia. Blood 1993; 81: 775–782. | PubMed |
  73. Steward CG, Goulden NJ, Katz F, Baines D, Martin PG, Langlands K et al. A polymerase chain reaction study of the stability of Ig heavy-chain and T-cell receptor delta gene rearrangements between presentation and relapse of childhood B-lineage acute lymphoblastic leukemia. Blood 1994; 83: 1355–1362. | PubMed | ISI | ChemPort |
  74. Beishuizen A, Verhoeven MA, van Wering ER, Hahlen K, Hooijkaas H, van Dongen JJ. Analysis of Ig and T-cell receptor genes in 40 childhood acute lymphoblastic leukemias at diagnosis and subsequent relapse: implications for the detection of minimal residual disease by polymerase chain reaction analysis. Blood 1994; 83: 2238–2247. | PubMed |
  75. Szczepanski T, Willemse MJ, Brinkhof B, van Wering ER, van der Burg M, van Dongen JJ. Comparative analysis of Ig and TCR gene rearrangements at diagnosis and at relapse of childhood precursor-B-ALL provides improved strategies for selection of stable PCR targets for monitoring of minimal residual disease. Blood 2002; 99: 2315–2323. | Article | PubMed | ISI | ChemPort |
  76. Szczepanski T, Willemse MJ, Kamps WA, van Wering ER, Langerak AW, van Dongen JJ. Molecular discrimination between relapsed and secondary acute lymphoblastic leukemia: proposal for an easy strategy. Med Pediatr Oncol 2001; 36: 352–358. | Article | PubMed | ChemPort |
  77. Szczepanski T, Flohr T, van der Velden VH, Bartram CR, van Dongen JJ. Molecular monitoring of residual disease using antigen receptor genes in childhood acute lymphoblastic leukaemia. Best Pract Res Clin Haematol 2002; 15: 37–57. | Article | PubMed | ChemPort |
  78. Summers KE, Goff LK, Wilson AG, Gupta RK, Lister TA, Fitzgibbon J. Frequency of the Bcl-2/IgH rearrangement in normal individuals: implications for the monitoring of disease in patients with follicular lymphoma. J Clin Oncol 2001; 19: 420–424. | PubMed | ISI | ChemPort |
  79. Breit TM, Beishuizen A, Ludwig WD, Mol EJ, Adriaansen HJ, van Wering ER et al. tal-1 deletions in T-cell acute lymphoblastic leukemia as PCR target for detection of minimal residual disease. Leukemia 1993; 7: 2004–2011. | PubMed |
  80. Gribben JG. Monitoring disease in lymphoma and CLL patients using molecular techniques. Best Pract Res Clin Haematol 2002; 15: 179–195.
  81. Yunis JJ, Oken MM, Kaplan ME, Ensrud KM, Howe RR, Theologides A. Distinctive chromosomal abnormalities in histologic subtypes of non-Hodgkin's lymphoma. N Engl J Med 1982; 307: 1231–1236. | PubMed | ISI | ChemPort |
  82. Tsujimoto Y, Yunis J, Onorato-Showe L, Erikson J, Nowell PC, Croce CM. Molecular cloning of the chromosomal breakpoint of B-cell lymphomas and leukemias with the t(11;14) chromosome translocation. Science 1984; 224: 1403–1406. | Article | PubMed | ISI | ChemPort |
  83. Breit TM, Mol EJ, Wolvers-Tettero IL, Ludwig WD, van Wering ER, van Dongen JJ. Site-specific deletions involving the tal-1 and sil genes are restricted to cells of the T cell receptor alpha/beta lineage: T cell receptor delta gene deletion mechanism affects multiple genes. J Exp Med 1993; 177: 965–977. | Article | PubMed | ISI | ChemPort |
  84. Hermans A, Gow J, Selleri L, von Lindern M, Hagemeijer A, Wiedemann LM et al. bcr–abl oncogene activation in Philadelphia chromosome-positive acute lymphoblastic leukemia. Leukemia 1988; 2: 628–633. | PubMed |
  85. Joos S, Haluska FG, Falk MH, Henglein B, Hameister H, Croce CM et al. Mapping chromosomal breakpoints of Burkitt's t(8;14) translocations far upstream of c-myc. Cancer Res 1992; 52: 6547–6552. | PubMed | ISI | ChemPort |
  86. Bernards A, Rubin CM, Westbrook CA, Paskind M, Baltimore D. The first intron in the human c-abl gene is at least 200 kilobases long and is a target for translocations in chronic myelogenous leukemia. Mol Cell Biol 1987; 7: 3231–3236.
  87. Joos S, Falk MH, Lichter P, Haluska FG, Henglein B, Lenoir GM et al. Variable breakpoints in Burkitt lymphoma cells with chromosomal t(8;14) translocation separate c-myc and the IgH locus up to several hundred kb. Hum Mol Genet 1992; 1: 625–632. | Article | PubMed | ChemPort |
  88. van Dongen JJ, Macintyre EA, Gabert JA, Delabesse E, Rossi V, Saglio G et al. Standardized RT-PCR analysis of fusion gene transcripts from chromosome aberrations in acute leukemia for detection of minimal residual disease. Report of the BIOMED-1 Concerted Action: investigation of minimal residual disease in acute leukemia. Leukemia 1999; 13: 1901–1928. | Article | PubMed | ISI | ChemPort |
  89. Reichel M, Gillert E, Breitenlohner I, Angermuller S, Fey GH, Marschalek R et al. Rapid isolation of chromosomal breakpoints from patients with t(4;11) acute lymphoblastic leukemia: implications for basic and clinical research. Leukemia 2001; 15: 286–288. | Article |
  90. Wiemels JL, Cazzaniga G, Daniotti M, Eden OB, Addison GM, Masera G et al. Prenatal origin of acute lymphoblastic leukaemia in children. Lancet 1999; 354: 1499–1503. | Article | PubMed | ISI | ChemPort |
  91. Akasaka T, Muramatsu M, Ohno H, Miura I, Tatsumi E, Fukuhara S et al. Application of long-distance polymerase chain reaction to detection of junctional sequences created by chromosomal translocation in mature B-cell neoplasms. Blood 1996; 88: 985–994. | PubMed | ChemPort |
  92. Wiemels JL, Leonard BC, Wang Y, Segal MR, Hunger SP, Smith MT et al. Site-specific translocation and evidence of postnatal origin of the t(1;19) E2A-PBX1 fusion in childhood acute lymphoblastic leukemia. Proc Natl Acad Sci USA 2002; 99: 15101–15106. | Article | PubMed | ChemPort |
  93. Gabert J. Detection of recurrent translocations using real time PCR; assessment of the technique for diagnosis and detection of minimal residual disease. Haematologica 1999; 84(Suppl EHA-4): 107–109. | Article | PubMed |
  94. Schlieben S, Borkhardt A, Reinisch I, Ritterbach J, Janssen JW, Ratei R et al. Incidence and clinical outcome of children with BCR/ABL-positive acute lymphoblastic leukemia (ALL). A prospective RT-PCR study based on 673 patients enrolled in the German pediatric multicenter therapy trials ALL-BFM-90 and CoALL-05-92. Leukemia 1996; 10: 957–963. | PubMed |
  95. Secker-Walker LM, Prentice HG, Durrant J, Richards S, Hall E, Harrison G. Cytogenetics adds independent prognostic information in adults with acute lymphoblastic leukaemia on MRC trial UKALL XA. MRC Adult Leukaemia Working Party. Br J Haematol 1997; 96: 601–610. | Article | PubMed | ChemPort |
  96. Deininger MW, Goldman JM, Melo JV. The molecular biology of chronic myeloid leukemia. Blood 2000; 96: 3343–3356. | PubMed | ISI | ChemPort |
  97. Yee HT, Ponzoni M, Merson A, Goldstein M, Scarpa A, Chilosi M et al. Molecular characterization of the t(2;5) (p23; q35) translocation in anaplastic large cell lymphoma (Ki-1) and Hodgkin's disease. Blood 1996; 87: 1081–1088. | PubMed | ISI | ChemPort |
  98. Gilliland DG, Griffin JD. Role of FLT3 in leukemia. Curr Opin Hematol 2002; 9: 274–281. | Article | PubMed |
  99. Nakao M, Janssen JW, Erz D, Seriu T, Bartram CR. Tandem duplication of the FLT3 gene in acute lymphoblastic leukemia: a marker for the monitoring of minimal residual disease. Leukemia 2000; 14: 522–524. | Article | PubMed | ChemPort |
  100. Kondo M, Horibe K, Takahashi Y, Matsumoto K, Fukuda M, Inaba J et al. Prognostic value of internal tandem duplication of the FLT3 gene in childhood acute myelogenous leukemia. Med Pediatr Oncol 1999; 33: 525–529. | Article | PubMed | ISI | ChemPort |
  101. Arrigoni P, Beretta C, Silvestri D, Rossi V, Rizzari C, Valsecchi MG et al. FLT3 internal tandem duplication in childhood acute myeloid leukemia: association with hyperleucocytosis in APL. Br J Haematol 2003; 120: 89–92. | Article | PubMed | ChemPort |
  102. Schnittger S, Schoch C, Dugas M, Kern W, Staib P, Wuchter C et al. 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. Blood 2002; 100: 59–66. | Article | PubMed | ISI | ChemPort |
  103. Meshinchi S, Woods WG, Stirewalt DL, Sweetser DA, Buckley JD, Tjoa TK et al. Prevalence and prognostic significance of Flt3 internal tandem duplication in pediatric acute myeloid leukemia. Blood 2001; 97: 89–94. | Article | PubMed | ISI | ChemPort |
  104. Kottaridis PD, Gale RE, Frew ME, Harrison G, Langabeer SE, Belton AA et al. The presence of a FLT3 internal tandem duplication in patients with acute myeloid leukemia (AML) adds important prognostic information to cytogenetic risk group and response to the first cycle of chemotherapy: analysis of 854 patients from the United Kingdom Medical Research Council AML 10 and 12 trials. Blood 2001; 98: 1752–1759. | Article | PubMed | ISI | ChemPort |
  105. Thiede C, Steudel C, Mohr B, Schaich M, Schakel U, Platzbecker U et al. Analysis of FLT3-activating mutations in 979 patients with acute myelogenous leukemia: association with FAB subtypes and identification of subgroups with poor prognosis. Blood 2002; 99: 4326–4335. | Article | PubMed | ISI | ChemPort |
  106. Liang DC, Shih LY, Hung IJ, Yang CP, Chen SH, Jaing TH et al. Clinical relevance of internal tandem duplication of the FLT3 gene in childhood acute myeloid leukemia. Cancer 2002; 94: 3292–3298. | Article | PubMed | ISI | ChemPort |
  107. Kottaridis PD, Gale RE, Langabeer SE, Frew ME, Bowen DT, Linch DC. Studies of FLT3 mutations in paired presentation and relapse samples from patients with acute myeloid leukemia: implications for the role of FLT3 mutations in leukemogenesis, minimal residual disease detection, and possible therapy with FLT3 inhibitors. Blood 2002; 100: 2393–2398. | Article | PubMed | ISI | ChemPort |
  108. Shih LY, Huang CF, Wu JH, Lin TL, Dunn P, Wang PN et al. Internal tandem duplication of FLT3 in relapsed acute myeloid leukemia: a comparative analysis of bone marrow samples from 108 adult patients at diagnosis and relapse. Blood 2002; 100: 2387–2392. | Article | PubMed | ISI | ChemPort |
  109. Gessler M, Poustka A, Cavenee W, Neve RL, Orkin SH, Bruns GA. Homozygous deletion in Wilms tumours of a zinc-finger gene identified by chromosome jumping. Nature 1990; 343: 774–778. | Article | PubMed | ISI | ChemPort |
  110. Niegemann E, Wehner S, Kornhuber B, Schwabe D, Ebener U. wt1 gene expression in childhood leukemias. Acta Haematol 1999; 102: 72–76. | Article | PubMed | ISI | ChemPort |
  111. Bergmann L, Maurer U, Weidmann E. Wilms tumor gene expression in acute myeloid leukemias. Leukemia Lymphoma 1997; 25: 435–443.
  112. Bergmann L, Miething C, Maurer U, Brieger J, Karakas T, Weidmann E et al. High levels of Wilms' tumor gene (wt1) mRNA in acute myeloid leukemias are associated with a worse long-term outcome. Blood 1997; 90: 1217–1225. | PubMed | ISI | ChemPort |
  113. Sugiyama H. Wilms tumor gene (WT1) as a new marker for the detection of minimal residual disease in leukemia. Leukemia Lymphoma 1998; 30: 55–61.
  114. Elmaagacli AH, Beelen DW, Trenschel R, Schaefer UW. The detection of wt-1 transcripts is not associated with an increased leukemic relapse rate in patients with acute leukemia after allogeneic bone marrow or peripheral blood stem cell transplantation. Bone Marrow Transplant 2000; 25: 91–96. | Article | PubMed | ISI | ChemPort |
  115. Siehl JM, Thiel E, Leben R, Reinwald M, Knauf W, Menssen HD. Quantitative real-time RT-PCR detects elevated Wilms tumor gene (WT1) expression in autologous blood stem cell preparations (PBSCs) from acute myeloid leukemia (AML) patients indicating contamination with leukemic blasts. Bone Marrow Transplant 2002; 29: 379–381. | Article | PubMed | ISI | ChemPort |
  116. Trka J, Kalinova M, Hrusak O, Zuna J, Krejci O, Madzo J et al. Real-time quantitative PCR detection of WT1 gene expression in children with AML: prognostic significance, correlation with disease status and residual disease detection by flow cytometry. Leukemia 2002; 16: 1381–1389. | Article | PubMed | ISI | ChemPort |
  117. Kreuzer KA, Saborowski A, Lupberger J, Appelt C, Na IK, le Coutre P et al. Fluorescent 5'-exonuclease assay for the absolute quantification of Wilms' tumour gene (WT1) mRNA: implications for monitoring human leukaemias. Br J Haematol 2001; 114: 313–318. | Article | PubMed | ISI | ChemPort |
  118. Kim SC, Yoo NC, Hahn JS, Lee S, Chong SY, Min YH et al. Monitoring of WT-1 gene expression in peripheral blood of patients with acute leukemia by semiquantitative RT-PCR; possible marker for detection of minimal residual leukemia. Yonsei Med J 1997; 38: 212–219.
  119. Hosen N, Sonoda Y, Oji Y, Kimura T, Minamiguchi H, Tamaki H et al. Very low frequencies of human normal CD34+ haematopoietic progenitor cells express the Wilms' tumour gene WT1 at levels similar to those in leukaemia cells. Br J Haematol 2002; 116: 409–420. | Article | PubMed | ISI | ChemPort |
  120. Maurer U, Weidmann E, Karakas T, Hoelzer D, Bergmann L. Wilms tumor gene (wt1) mRNA is equally expressed in blast cells from acute myeloid leukemia and normal CD34+ progenitors. Blood 1997; 90: 4230–4232. | PubMed |
  121. Baird PN, Simmons PJ. Expression of the Wilms' tumor gene (WT1) in normal hemopoiesis. Exp Hematol 1997; 25: 312–320. | PubMed | ISI | ChemPort |
  122. Inoue K, Ogawa H, Sonoda Y, Kimura T, Sakabe H, Oka Y et al. Aberrant overexpression of the Wilms tumor gene (WT1) in human leukemia. Blood 1997; 89: 1405–1412. | PubMed | ISI | ChemPort |
  123. Menssen HD, Renkl HJ, Rodeck U, Maurer J, Notter M, Schwartz S et al. Presence of Wilms' tumor gene (wt1) transcripts and the WT1 nuclear protein in the majority of human acute leukemias. Leukemia 1995; 9: 1060–1067. | PubMed | ISI | ChemPort |
  124. Bernard OA, Busson-LeConiat M, Ballerini P, Mauchauffe M, Della Valle V, Monni R et al. A new recurrent and specific cryptic translocation, t(5;14)(q35;q32), is associated with expression of the Hox11L2 gene in T acute lymphoblastic leukemia. Leukemia 2001; 15: 1495–1504. | Article | PubMed | ISI | ChemPort |
  125. Ballerini P, Blaise A, Busson-Le Coniat M, Su XY, Zucman-Rossi J, Adam M et al. HOX11L2 expression defines a clinical subtype of pediatric T-ALL associated with poor prognosis. Blood 2002; 100: 991–997. | Article | PubMed | ISI | ChemPort |
  126. Nakamura S, Yatabe Y, Seto M. Cyclin D1 overexpression in malignant lymphomas. Pathol Int 1997; 47: 421–429. | PubMed |
  127. Steinbach D, Hermann J, Viehmann S, Zintl F, Gruhn B. Clinical implications of PRAME gene expression in childhood acute myeloid leukemia. Cancer Genet Cytogenet 2002; 133: 118–123. | Article | PubMed | ISI | ChemPort |
  128. Matsushita M, Ikeda H, Kizaki M, Okamoto S, Ogasawara M, Ikeda Y et al. Quantitative monitoring of the PRAME gene for the detection of minimal residual disease in leukaemia. Br J Haematol 2001; 112: 916–926. | Article | PubMed |
  129. Watari K, Tojo A, Nagamura-Inoue T, Nagamura F, Takeshita A, Fukushima T et al. Identification of a melanoma antigen, PRAME, as a BCR/ABL-inducible gene. FEBS Lett 2000; 466: 367–371. | Article | PubMed | ChemPort |
  130. van Baren N, Chambost H, Ferrant A, Michaux L, Ikeda H, Millard I et al. PRAME, a gene encoding an antigen recognized on a human melanoma by cytolytic T cells, is expressed in acute leukaemia cells. Br J Haematol 1998; 102: 1376–1379. | Article | PubMed | ISI | ChemPort |
  131. Foroni L, Hoffbrand AV. Molecular analysis of minimal residual disease in adult acute lymphoblastic leukaemia. Best Pract Res Clin Haematol 2002; 15: 71–90. | Article | PubMed | ChemPort |
  132. van der Velden VH, Wijkhuijs JM, Jacobs DC, van Wering ER, van Dongen JJ. T cell receptor gamma gene rearrangements as targets for detection of minimal residual disease in acute lymphoblastic leukemia by real-time quantitative PCR analysis. Leukemia 2002; 16: 1372–1380. | Article | PubMed | ISI | ChemPort |
  133. van Wering ER, van der Linden-Schrever BE, van der Velden VH, Szczepanski T, van Dongen JJ. T-lymphocytes in bone marrow samples of children with acute lymphoblastic leukemia during and after chemotherapy might hamper PCR-based minimal residual disease studies. Leukemia 2001; 15: 1301–1303. | Article | PubMed | ISI | ChemPort |
  134. van Lochem EG, Wiegers YM, van den Beemd R, Hahlen K, van Dongen JJ, Hooijkaas H. Regeneration pattern of precursor-B-cells in bone marrow of acute lymphoblastic leukemia patients depends on the type of preceding chemotherapy. Leukemia 2000; 14: 688–695. | Article | PubMed | ISI | ChemPort |
  135. van Wering ER, van der Linden-Schrever BE, Szczepanski T, Willemse MJ, Baars EA, van Wijngaarde-Schmitz HM et al. Regenerating normal B-cell precursors during and after treatment of acute lymphoblastic leukaemia: implications for monitoring of minimal residual disease. Br J Haematol 2000; 110: 139–146. | Article | PubMed | ISI | ChemPort |
  136. Gleissner B, Rieder H, Thiel E, Fonatsch C, Janssen LA, Heinze B et al. Prospective BCR-ABL analysis by polymerase chain reaction (RT-PCR) in adult acute B-lineage lymphoblastic leukemia: reliability of RT-nested-PCR and comparison to cytogenetic data. Leukemia 2001; 15: 1834–1840. | Article | PubMed | ChemPort |
  137. Nakao M, Janssen JW, Flohr T, Bartram CR. Rapid and reliable quantification of minimal residual disease in acute lymphoblastic leukemia using rearranged immunoglobulin and T-cell receptor loci by LightCycler technology. Cancer Res 2000; 60: 3281–3289. | PubMed | ISI | ChemPort |
  138. Bohling SD, Wittwer CT, King TC, Elenitoba-Johnson KS. Fluorescence melting curve analysis for the detection of the bcl-1/JH translocation in mantle cell lymphoma. Lab Invest 1999; 79: 337–345.
  139. Bohling SD, King TC, Wittwer CT, Elenitoba-Johnson KS. Rapid simultaneous amplification and detection of the MBR/JH chromosomal translocation by fluorescence melting curve analysis. Am J Pathol 1999; 154: 97–103. | PubMed | ISI | ChemPort |
  140. Pongers-Willemse MJ, Verhagen OJ, Tibbe GJ, Wijkhuijs AJ, de Haas V, Roovers E et al. Real-time quantitative PCR for the detection of minimal residual disease in acute lymphoblastic leukemia using junctional region specific TaqMan probes. Leukemia 1998; 12: 2006–2014. | Article | PubMed | ISI | ChemPort |
  141. Rasmussen T, Poulsen TS, Honore L, Johnsen HE. Quantitation of minimal residual disease in multiple myeloma using an allele-specific real-time PCR assay. Exp Hematol 2000; 28: 1039–1045. | PubMed |
  142. Eder M, Battmer K, Kafert S, Stucki A, Ganser A, Hertenstein B. Monitoring of BCR–ABL expression using real-time RT-PCR in CML after bone marrow or peripheral blood stem cell transplantation. Leukemia 1999; 13: 1383–1389. | Article | PubMed | ISI | ChemPort |
  143. Verhagen OJ, Willemse MJ, Breunis WB, Wijkhuijs AJ, Jacobs DC, Joosten SA et al. Application of germline IGH probes in real-time quantitative PCR for the detection of minimal residual disease in acute lymphoblastic leukemia. Leukemia 2000; 14: 1426–1435. | Article | PubMed | ISI | ChemPort |
  144. Bruggemann M, Droese J, Bolz I, Luth P, Pott C, von Neuhoff N et al. Improved assessment of minimal residual disease in B cell malignancies using fluorogenic consensus probes for real-time quantitative PCR. Leukemia 2000; 14: 1419–1425. | Article | PubMed | ISI | ChemPort |
  145. Gerard CJ, Olsson K, Ramanathan R, Reading C, Hanania EG. Improved quantitation of minimal residual disease in multiple myeloma using real-time polymerase chain reaction and plasmid-DNA complementarity determining region III standards. Cancer Res 1998; 58: 3957–3964. | PubMed | ChemPort |
  146. Stirewalt DL, Willman CL, Radich JP. Quantitative, real-time polymerase chain reactions for FLT3 internal tandem duplications are highly sensitive and specific. Leukemia Res 2001; 25: 1085–1088. | Article |
  147. van der Velden VH, Willemse MJ, van der Schoot CE, Hahlen K, van Wering ER, van Dongen JJ. Immunoglobulin kappa deleting element rearrangements in precursor-B acute lymphoblastic leukemia are stable targets for detection of minimal residual disease by real-time quantitative PCR. Leukemia 2002; 16: 928–936. | Article | PubMed | ISI | ChemPort |
  148. Szczepanski T, van der Velden VH, van Dongen JJ. Real-time quantitative (RQ)-PCR for the detection of minimal residual disease in childhood acute lymphoblastic leukemia. Haematologica 2002; 87: 183–191.
  149. Jenner MJ, Summers KE, Norton AJ, Amess JA, Arch RS, Young BD et al. JH probe real-time quantitative polymerase chain reaction assay for Bcl-2/IgH rearrangements. Br J Haematol 2002; 118: 550–558. | Article | PubMed | ChemPort |
  150. Tarusawa M, Yashima A, Endo M, Maesawa C. Quantitative assessment of minimal residual disease in childhood lymphoid malignancies using an allele-specific oligonucleotide real-time quantitative polymerase chain reaction. Int J Hematol 2002; 75: 166–173. | PubMed | ChemPort |
  151. Pfitzner T, Engert A, Wittor H, Schinkothe T, Oberhauser F, Schulz H et al. A real-time PCR assay for the quantification of residual malignant cells in B cell chronic lymphatic leukemia. Leukemia 2000; 14: 754–766. | Article | PubMed | ISI | ChemPort |
  152. Pfitzner T, Reiser M, Barth S, Borchmann P, Schulz H, Schinkothe T et al. Quantitative molecular monitoring of residual tumor cells in chronic lymphocytic leukemia. Ann Hematol 2002; 81: 258–266.
  153. Ladetto M, Omede P, Sametti S, Donovan JW, Astolfi M, Drandi D et al. Real-time polymerase chain reaction in multiple myeloma: quantitative analysis of tumor contamination of stem cell harvests. Exp Hematol 2002; 30: 529–536. | Article | PubMed | ISI | ChemPort |
  154. Donovan JW, Ladetto M, Zou G, Neuberg D, Poor C, Bowers D et al. Immunoglobulin heavy-chain consensus probes for real-time PCR quantification of residual disease in acute lymphoblastic leukemia. Blood 2000; 95: 2651–2658. | PubMed | ISI | ChemPort |
  155. Ladetto M, Donovan JW, Harig S, Trojan A, Poor C, Schlossnan R et al. Real-time polymerase chain reaction of immunoglobulin rearrangements for quantitative evaluation of minimal residual disease in multiple myeloma. Biol Blood Marrow Transplant 2000; 6: 241–253. | Article | PubMed | ChemPort |
  156. Koiso H, Tsukamoto N, Miyawaki S, Shinonome S, Nojima Y, Karasawa M. Quantitative analysis of Cyclin D1 and CD23 expression in mantle cell lymphoma and B-chronic lymphocytic leukemia. Leukemia Res 2002; 26: 809–815.
  157. Medeiros LJ, Hai S, Thomazy VA, Estalilla OC, Romaguera J, Luthra R. Real-time RT-PCR assay for quantifying cyclin D1 mRNA in B-cell non-Hodgkin's lymphomas. Mod Pathol 2002; 15: 556–564. | Article |
  158. Bijwaard KE, Aguilera NS, Monczak Y, Trudel M, Taubenberger JK, Lichy JH. Quantitative real-time reverse transcription-PCR assay for cyclin D1 expression: utility in the diagnosis of mantle cell lymphoma. Clin Chem 2001; 47: 195–201. | PubMed | ISI | ChemPort |
  159. Peghini PE, Fehr J. Analysis of cyclin D1 expression by quantitative real-time reverse transcription-polymerase chain reaction in the diagnosis of mantle cell lymphoma. Am J Clin Pathol 2002; 117: 237–245.
  160. Suzuki R, Takemura K, Tsutsumi M, Nakamura S, Hamajima N, Seto M. Detection of cyclin D1 overexpression by real-time reverse-transcriptase-mediated quantitative polymerase chain reaction for the diagnosis of mantle cell lymphoma. Am J Pathol 2001; 159: 425–429. | PubMed | ISI | ChemPort |
  161. Elenitoba-Johnson KS, Bohling SD, Jenson SD, Lin Z, Monnin KA, Lim MS. Fluorescence PCR quantification of cyclin d1 expression. J Mol Diagn 2002; 4: 90–96. | PubMed | ISI | ChemPort |
  162. Gabert J, Beillard E, Bi W, Pallisgaard N, Gottardi E, Cazzaniga G et al. European standardization and quality control program of real the quantitative RT-PCR analysis of fusion gene transcripts for minimal residual disease detection in leukemia patients. Blood 2000; 96: 1343.
  163. Gabert J, Beillard E, van der Velden VHJ, Bi W, Grimwade D, Pallisgaard N et al. Standardization and quality control studies of "real-time" quantitative reverse transcriptase polymerase chain reaction (RQ-PCR) of fusion gene transcripts for minimal residual disease detection in leukemia – A Europe Against Cancer Program. Leukemia 2003 (in press).
  164. Curry J, McHale C, Smith MT. Low efficiency of the Moloney murine leukemia virus reverse transcriptase during reverse transcription of rare t(8;21) fusion gene transcripts. Biotechniques 2002; 32: 768, 770, 772, 754–765.
  165. Barbany G, Hagberg A, Olsson-Stromberg U, Simonsson B, Syvanen AC, Landegren U. Manifold-assisted reverse transcription-PCR with real-time detection for measurement of the BCR-ABL fusion transcript in chronic myeloid leukemia patients. Clin Chem 2000; 46: 913–920. | PubMed | ISI | ChemPort |
  166. Elmaagacli AH, Freist A, Hahn M, Opalka B, Seeber S, Schaefer UW et al. Estimating the relapse stage in chronic myeloid leukaemia patients after allogeneic stem cell transplantation by the amount of BCR–ABL fusion transcripts detected using a new real-time polymerase chain reaction method. Br J Haematol 2001; 113: 1072–1075.
  167. Amabile M, Giannini B, Testoni N, Montefusco V, Rosti G, Zardini C et al. Real-time quantification of different types of bcr-abl transcript in chronic myeloid leukemia. Haematologica 2001; 86: 252–259. | PubMed | ISI | ChemPort |
  168. Preudhomme C, Revillion F, Merlat A, Hornez L, Roumier C, Duflos-Grardel N et al. Detection of BCR-ABL transcripts in chronic myeloid leukemia (CML) using a 'real time' quantitative RT-PCR assay. Leukemia 1999; 13: 957–964. | Article | PubMed | ISI | ChemPort |
  169. Yokota H, Tsuno NH, Tanaka Y, Fukui T, Kitamura K, Hirai H et al. Quantification of minimal residual disease in patients with e1a2 BCR–ABL-positive acute lymphoblastic leukemia using a real-time RT-PCR assay. Leukemia 2002; 16: 1167–1175. | Article | PubMed |
  170. Hochhaus A. Minimal residual disease in chronic myeloid leukaemia patients. Best Pract Res Clin Haematol 2002; 15: 159–178. | Article | PubMed |
  171. Seeger K, Kreuzer KA, Lass U, Taube T, Buchwald D, Eckert C et al. Molecular quantification of response to therapy and remission status in TEL-AML1-positive childhood ALL by real-time reverse transcription polymerase chain reaction. Cancer Res 2001; 61: 2517–2522. | PubMed |
  172. Pallisgaard N, Clausen N, Schroder H, Hokland P. Rapid and sensitive minimal residual disease detection in acute leukemia by quantitative real-time RT-PCR exemplified by t(12;21) TEL-AML1 fusion transcript. Genes Chromosomes Cancer 1999; 26: 355–365. | Article | PubMed | ISI | ChemPort |
  173. Drunat S, Olivi M, Brunie G, Grandchamp B, Vilmer E, Bieche I et al. Quantification of TEL-AML1 transcript for minimal residual disease assessment in childhood acute lymphoblastic leukaemia. Br J Haematol 2001; 114: 281–289. | Article | PubMed | ChemPort |
  174. Bolufer P, Barragan E, Verdeguer A, Cervera J, Fernandez JM, Moreno I et al. Rapid quantitative detection of TEL-AML1 fusion transcripts in pediatric acute lymphoblastic leukemia by real-time reverse transcription polymerase chain reaction using fluorescently labeled probes. Haematologica 2002; 87: 23–32.
  175. Ballerini P, Landman PJ, Laurendeau I, Olivi M, Vidaud M, Adam M et al. Quantitative analysis of TEL/AML1 fusion transcripts by real-time RT-PCR assay in childhood acute lymphoblastic leukemia. Leukemia 2000; 14: 1526–1528. | Article | PubMed |
  176. Chen X, Pan Q, Stow P, Behm FG, Goorha R, Pui CH et al. Quantification of minimal residual disease in T-lineage acute lymphoblastic leukemia with the TAL-1 deletion using a standardized real-time PCR assay. Leukemia 2001; 15: 166–170. | Article | PubMed |
  177. Estalilla OC, Medeiros LJ, Manning Jr JT, Luthra R. 5'–3' exonuclease-based real-time PCR assays for detecting the t(14;18)(q32;21): a survey of 162 malignant lymphomas and reactive specimens. Mod Pathol 2000; 13: 661–666. | Article | PubMed | ISI | ChemPort |
  178. Hirt C, Dolken G. Quantitative detection of t(14;18)-positive cells in patients with follicular lymphoma before and after autologous bone marrow transplantation. Bone Marrow Transplant 2000; 25: 419–426. | Article | PubMed | ISI | ChemPort |
  179. Dolken L, Schuler F, Dolken G. Quantitative detection of t(14;18)-positive cells by real-time quantitative PCR using fluorogenic probes. Biotechniques 1998; 25: 1058–1064. | PubMed | ISI | ChemPort |
  180. Ladetto M, Sametti S, Donovan JW, Ferrero D, Astolfi M, Mitterer M et al. A validated real-time quantitative PCR approach shows a correlation between tumor burden and successful ex vivo purging in follicular lymphoma patients. Exp Hematol 2001; 29: 183–193. | Article | PubMed | ISI | ChemPort |
  181. Mandigers CM, Meijerink JP, Mensink EJ, Tonnissen EL, Hebeda KM, Bogman MJ et al. Lack of correlation between numbers of circulating t(14;18)-positive cells and response to first-line treatment in follicular lymphoma. Blood 2001; 98: 940–944. | Article | PubMed | ISI | ChemPort |
  182. Olsson K, Gerard CJ, Zehnder J, Jones C, Ramanathan R, Reading C et al. Real-time t(11;14) and t(14;18) PCR assays provide sensitive and quantitative assessments of minimal residual disease (MRD). Leukemia 1999; 13: 1833–1842. | Article | PubMed | ISI | ChemPort |
  183. Luthra R, Sarris AH, Hai S, Paladugu AV, Romaguera JE, Cabanillas FF et al. Real-time 5'--3' exonuclease-based PCR assay for detection of the t(11;14)(q13;q32). Am J Clin Pathol 1999; 112: 524–530. | PubMed | ISI | ChemPort |
  184. Andersen NS, Donovan JW, Zuckerman A, Pedersen L, Geisler C, Gribben JG. 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. Exp Hematol 2002; 30: 703–710.
  185. Wittwer CT, Herrmann MG, Moss AA, Rasmussen RP. Continuous fluorescence monitoring of rapid cycle DNA amplification. Biotechniques 1997; 22: 130–131, 134–138. | PubMed | ISI | ChemPort |
  186. Saussele S, Weisser A, Muller MC, Emig M, La Rosee P, Paschka P et al. Frequent polymorphism in BCR exon b2 identified in BCR–ABL positive and negative individuals using fluorescent hybridization probes. Leukemia 2000; 14: 2006–2010. | Article | PubMed |
  187. Cave H, van der Werff ten Bosch J, Suciu S, Guidal C, Waterkeyn C, Otten J et al. Clinical significance of minimal residual disease in childhood acute lymphoblastic leukemia. European Organization for Research and Treatment of Cancer – Childhood Leukemia Cooperative Group. N Engl J Med 1998; 339: 591–598. | Article | PubMed | ISI | ChemPort |
  188. Limpens J, Stad R, Vos C, de Vlaam C, de Jong D, van Ommen GJ, Gabert J, Beillard E, van der Velden VHJ, Grimwade D, Bi W, Pallisgaard N et al. Lymphoma-associated translocation t(14;18) in blood B cells of normal individuals. Blood 1995; 85: 2528–2536. | PubMed | ISI | ChemPort |
  189. Gabert J, Beillard E, van der Velden VHJ, Grimwade D, Bi WP et al. Expression of fusion gene transcripts in diagnostic leukemia samples assessed by a standardized real time quantitative PCR (RQ-PCR): a Europe Against Cancer program. Hematol J 2002; 3: 206–207. | Article | PubMed |
  190. Bose S, Deininger M, Gora-Tybor J, Goldman JM, Melo JV. The presence of typical and atypical BCR–ABL fusion genes in leukocytes of normal individuals: biologic significance and implications for the assessment of minimal residual disease. Blood 1998; 92: 3362–3367. | PubMed | ISI | ChemPort |
  191. Biernaux C, Loos M, Sels A, Huez G, Stryckmans P. Detection of major bcr-abl gene expression at a very low level in blood cells of some healthy individuals. Blood 1995; 86: 3118–3122. | PubMed | ISI | ChemPort |
  192. Kim-Rouille MH, MacGregor A, Wiedemann LM, Greaves MF, Navarrete C. MLL–AF4 gene fusions in normal newborns. Blood 1999; 93: 1107–1108. | PubMed |
  193. Quina AS, Gameiro P, Sa da Costa M, Telhada M, Parreira L. PML–RARA fusion transcripts in irradiated and normal hematopoietic cells. Genes Chromosomes Cancer 2000; 29: 266–275.
  194. Jurlander J, Caligiuri MA, Ruutu T, Baer MR, Strout MP, Oberkircher AR et al. Persistence of the AML1/ETO fusion transcript in patients treated with allogeneic bone marrow transplantation for t(8;21) leukemia. Blood 1996; 88: 2183–2191. | PubMed | ISI | ChemPort |
  195. 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. | PubMed | ChemPort |
  196. Trka J, Zuna J, Hrusak O, Michalova K, Muzikova K, Kalinova M et al. No evidence for MLL/AF4 expression in normal cord blood samples. Blood 1999; 93: 1106–1107; discussion 1108–1110. | PubMed |
  197. Kwong YL, Chan V, Wong KF, Chan TK. Use of the polymerase chain reaction in the detection of AML1/ETO fusion transcript in t(8;21). Cancer 1995; 75: 821–825. | PubMed |
  198. Satake N, Maseki N, Kozu T, Sakashita A, Kobayashi H, Sakurai M et al. Disappearance of AML1-MTG8(ETO) fusion transcript in acute myeloid leukaemia patients with t(8;21) in long-term remission. Br J Haematol 1995; 91: 892–898. | PubMed | ChemPort |
  199. Borst J, Wicherink A, Van Dongen JJ, De Vries E, Comans-Bitter WM, Wassenaar F et al. Non-random expression of T cell receptor gamma and delta variable gene segments in functional T lymphocyte clones from human peripheral blood. Eur J Immunol 1989; 19: 1559–1568. | PubMed | ISI | ChemPort |
  200. Casorati G, De Libero G, Lanzavecchia A, Migone N. Molecular analysis of human gamma/delta+ clones from thymus and peripheral blood. J Exp Med 1989; 170: 1521–1535. | Article | PubMed | ISI | ChemPort |
  201. Wasserman R, Galili N, Ito Y, Reichard BA, Shane S, Rovera G. Predominance of fetal type DJH joining in young children with B precursor lymphoblastic leukemia as evidence for an in utero transforming event. J Exp Med 1992; 176: 1577–1581. | PubMed |
  202. Sanz I. Multiple mechanisms participate in the generation of diversity of human H chain CDR3 regions. J Immunol 1991; 147: 1720–1729. | PubMed | ChemPort |
  203. Yamada M, Wasserman R, Reichard BA, Shane S, Caton AJ, Rovera G. Preferential utilization of specific immunoglobulin heavy chain diversity and joining segments in adult human peripheral blood B lymphocytes. J Exp Med 1991; 173: 395–407. | Article | PubMed | ISI | ChemPort |
  204. Steenbergen EJ, Verhagen OJ, van Leeuwen EF, Behrendt H, Merle PA, Wester MR et al. B precursor acute lymphoblastic leukemia third complementarity-determining regions predominantly represent an unbiased recombination repertoire: leukemic transformation frequently occurs in fetal life. Eur J Immunol 1994; 24: 900–908. | Article | PubMed | ChemPort |
  205. van der Velden VH, Joosten SA, Willemse MJ, van Wering ER, Lankester AW, van Dongen JJ et al. Real-time quantitative PCR for detection of minimal residual disease before allogeneic stem cell transplantation predicts outcome in children with acute lymphoblastic leukemia. Leukemia 2001; 15: 1485–1487. | Article | PubMed | ISI | ChemPort |
  206. Mandigers CM, Meijerink JP, Raemaekers JM, Schattenberg AV, Mensink EJ. Graft-versus-lymphoma effect of donor leucocyte infusion shown by real-time quantitative PCR analysis of t(14;18). Lancet 1998; 352: 1522–1523. | Article | PubMed | ISI | ChemPort |
  207. Pallisgaard N, Hokland P, Bi W, van der Velden VHJ, van Dongen JJM, Dee R et al. Selection of reference genes for the European standardization and quality control program of real-time quantitative RT-PCR analysis of fusion gene transcrips for minimal residual disease follow-up in leukemia patients. Blood 2001; 98: 4467.
  208. Dupont M, Goldsborough A, Levayer T, Savare J, Rey JM, Rossi JF et al. Multiplex fluorescent RT-PCR to quantify leukemic fusion transcripts. Biotechniques 2002; 33: 158–160, 162, 164.
  209. Lion T. Current recommendations for positive controls in RT-PCR assays. Leukemia 2001; 15: 1033–1037. | Article | PubMed |
  210. Lion T. Appropriate controls for RT-PCR. Leukemia 1996; 10: 1843. | PubMed |
  211. Moppett J, van der Velden VH, Wijkhuijs AJ, Hancock J, van Dongen JJ, Goulden N. Inhibition affecting RQ-PCR-based assessment of minimal residual disease in acute lymphoblastic leukemia: reversal by addition of bovine serum albumin. Leukemia 2003; 17: 268–270. | Article | PubMed | ChemPort |
  212. Guerrasio A, Pilatrino C, De Micheli D, Cilloni D, Serra A, Gottardi E et al. Assessment of minimal residual disease (MRD) in CBFbeta/MYH11-positive acute myeloid leukemias by qualitative and quantitative RT-PCR amplification of fusion transcripts. Leukemia 2002; 16: 1176–1181. | Article | PubMed | ISI | ChemPort |
  213. Bolufer P, Sanz GF, Barragan E, Sanz MA, Cervera J, Lerma E et al. Rapid quantitative detection of BCR–ABL transcripts in chronic myeloid leukemia patients by real-time reverse transcriptase polymerase-chain reaction using fluorescently labeled probes. Haematologica 2000; 85: 1248–1254. | PubMed | ChemPort |
  214. Cazzaniga G, Rossi V, Biondi A. Monitoring minimal residual disease using chromosomal translocations in childhood ALL. Best Pract Res Clin Haematol 2002; 15: 21–35. | Article | PubMed |
  215. Goulden N, Steward C. Clinical relevance of MRD in children undergoing allogeneic stem cell transplantation for ALL. Best Pract Res Clin Haematol 2002; 15: 59–70.
  216. Campana D, Coustan-Smith E. Advances in the immunological monitoring of childhood acute lymphoblastic leukaemia. Best Pract Res Clin Haematol 2002; 15: 1–19. | Article | PubMed |
  217. San-Miguel JF, Vidriales MB, Orfao A. Immunological evaluation of minimal residual disease (MRD) in acute myeloid leukaemia (AML). Best Pract Res Clin Haematol 2002; 15: 105–118. | Article | PubMed |
  218. Liu Yin JA. Minimal residual disease in acute myeloid leukaemia. Best Pract Res Clin Haematol 2002; 15: 119–135. | Article | PubMed |
  219. Costello R, Sainty D, Blaise D, Gastaut JA, Gabert J, Poirel H et al. Prognosis value of residual disease monitoring by polymerase chain reaction in patients with CBF beta/MYH11-positive acute myeloblastic leukemia. Blood 1997; 89: 2222–2223. | PubMed |
  220. Laczika K, Mitterbauer G, Mitterbauer M, Knobl P, Schwarzinger I, Greinix HT et al. Prospective monitoring of minimal residual disease in acute myeloid leukemia with inversion(16) by CBFbeta/MYH11 RT-PCR: implications for a monitoring schedule and for treatment decisions. Leukemia Lymphoma 2001; 42: 923–931.
  221. Boeckx N, Willemse MJ, Szczepanski T, van der Velden VH, Langerak AW, Vandekerckhove P et al. Fusion gene transcripts and Ig/TCR gene rearrangements are complementary but infrequent targets for PCR-based detection of minimal residual disease in acute myeloid leukemia. Leukemia 2002; 16: 368–375. | Article | PubMed | ChemPort |
  222. Inoue K, Sugiyama H, Ogawa H, Nakagawa M, Yamagami T, Miwa H et al. WT1 as a new prognostic factor and a new marker for the detection of minimal residual disease in acute leukemia. Blood 1994; 84: 3071–3079. | PubMed | ISI | ChemPort |
  223. Miwa H, Beran M, Saunders GF. Expression of the Wilms' tumor gene (WT1) in human leukemias. Leukemia 1992; 6: 405–409. | PubMed | ISI | ChemPort |
  224. Gaiger A, Linnerth B, Mann G, Schmid D, Heinze G, Tisljar K et al. Wilms' tumour gene (wt1) expression at diagnosis has no prognostic relevance in childhood acute lymphoblastic leukaemia treated by an intensive chemotherapy protocol. Eur J Haematol 1999; 63: 86–93. | PubMed | ISI | ChemPort |
  225. Im HJ, Kong G, Lee H. Expression of Wilms tumor gene (WT1) in children with acute leukemia. Pediatr Hematol Oncol 1999; 16: 109–118. | PubMed |
  226. Abu-Duhier FM, Goodeve AC, Wilson GA, Gari MA, Peake IR, Rees DC et al. FLT3 internal tandem duplication mutations in adult acute myeloid leukaemia define a high-risk group. Br J Haematol 2000; 111: 190–195. | Article | PubMed | ISI | ChemPort |
  227. Iwai T, Yokota S, Nakao M, Okamoto T, Taniwaki M, Onodera N et al. Internal tandem duplication of the FLT3 gene and clinical evaluation in childhood acute myeloid leukemia. The Children's Cancer and Leukemia Study Group, Japan. Leukemia 1999; 13: 38–43. | Article | PubMed | ISI | ChemPort |
  228. Xu F, Taki T, Yang HW, Hanada R, Hongo T, Ohnishi H et al. Tandem duplication of the FLT3 gene is found in acute lymphoblastic leukaemia as well as acute myeloid leukaemia but not in myelodysplastic syndrome or juvenile chronic myelogenous leukaemia in children. Br J Haematol 1999; 105: 155–162. | Article | PubMed | ISI | ChemPort |
  229. Yokota S, Kiyoi H, Nakao M, Iwai T, Misawa S, Okuda T et al. Internal tandem duplication of the FLT3 gene is preferentially seen in acute myeloid leukemia and myelodysplastic syndrome among various hematological malignancies. A study on a large series of patients and cell lines. Leukemia 1997; 11: 1605–1609. | Article | PubMed | ISI | ChemPort |
  230. Nakao M, Yokota S, Iwai T, Kaneko H, Horiike S, Kashima K et al. Internal tandem duplication of the flt3 gene found in acute myeloid leukemia. Leukemia 1996; 10: 1911–1918. | PubMed | ISI | ChemPort |
  231. van der Velden VH, Schoch C, Langerak AW, Schnittger S, Hoogeveen PG, van Dongen JJ. Low frequency of reverse transcription polymerase chain reaction-detectable chromosome aberrations in relapsed acute myeloid leukaemia: implications for detection of minimal residual disease. Br J Haematol 2001; 113: 1082–1083. | PubMed |
  232. Langerak AW, Wolvers-Tettero IL, van Gastel-Mol EJ, Oud ME, van Dongen JJ. Basic helix–loop–helix proteins E2A and HEB induce immature T-cell receptor rearrangements in nonlymphoid cells. Blood 2001; 98: 2456–2465. | Article | PubMed |