Literature DB >> 19043668

Implementation of the standard strategy for identification of Ig/TCR targets for minimal residual disease diagnostics in B-cell precursor ALL pediatric patients: Polish experience.

Małgorzata Dawidowska1, Justyna Jółkowska, Tomasz Szczepański, Katarzyna Derwich, Jacek Wachowiak, Michał Witt.   

Abstract

INTRODUCTION: Minimal residual disease (MRD), detected based on immunoglobulin and T-cell receptor (Ig/TCR) gene rearrangements as markers of residual leukemic cells, is currently the most reliable prognostic factor in acute lymphoblastic leukemia (ALL). A feasibility study is presented of the standard strategy for the identification of Ig/TCR targets for MRD diagnostics in Polish ALL patients by identifying Ig/TCR gene rearrangement pattern using standard primer sets and protocols.
MATERIALS AND METHODS: The PCR-heteroduplex approach based on BIOMED-1 and BIOMED-2 protocols (recommended as the European standard) was used to detect IGH, IGK-Kde, TCRD, TCRG, and TCRB rearrangements in 58 Polish B-cell precursor ALL patients. Sequencing and homology analysis between the obtained and germline Ig/TCR sequences enabled identification of the rearrangements. The U-Gauss test was used for statistical analysis of the Ig/TCR rearrangement pattern in Polish patients compared with relevant data on other nationalities.
RESULTS: The following pattern was identified: IGH: 83% (VH-JH: 74%, DH-JH: 9%), IGK-Kde: 41%, TCRD: 78% (incomplete TCRD: 55%, Vdelta2-Ddelta3: 45%, Ddelta2-Ddelta3: 21%, Vdelta2-Jalpha: 35%), TCRG: 50%, and TCRB: 13%. Considerable convergence of the Ig/TCR pattern in Polish patients and those of other nationalities (mainly West Europeans) was demonstrated. Statistically relevant differences were only found between the incidence of DH-JH in Polish (9%) and Dutch patients (24%; p<0.05) and Polish and Italian patients (19%; p<0.05), VH-JH in Polish (74%) and Chilean patients (100%; p<0.05), and TCRG in Polish (50%) and Brazilian patients (69%; p<0.05).
CONCLUSIONS: The convergence of Ig/TCR patterns in Polish and European patients indicates that the strategy for Ig/TCR target identification based on standard primers and protocols might be directly used for the construction of Polish standards and recommendations for MRD diagnostics.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 19043668      PMCID: PMC2805919          DOI: 10.1007/s00005-008-0045-y

Source DB:  PubMed          Journal:  Arch Immunol Ther Exp (Warsz)        ISSN: 0004-069X            Impact factor:   4.291


Introduction

The level of residual leukemic cells (minimal residual disease, MRD) is currently the most reliable prognostic factor in acute lymphoblastic leukemia (ALL). Detection and quantitative assessment of MRD performed at fixed time-points during ALL treatment enables precise stratification of patients into risk groups and appropriate adjustment of treatment intensity. The clinical significance of MRD assessment in risk-adapted management of ALL is already well documented [7, 26, 31]. Molecular diagnostics of MRD is currently most widely performed with the use of the real-time quantitative polymerase chain reaction approach (RQ-PCR) and rearranged immunoglobulin (Ig) and T-cell receptor (TCR) genes as patient-specific “fingerprint-like” markers of residual leukemic cells [25]. Protocols for MRD diagnostics (including the identification of Ig/TCR rearrangements and RQ-PCR MRD assessment) as well as guidelines for interpreting the quantitative data have been highly standardized through international collaboration, mainly within the confines of the BIOMED-1 Concerted Action, the BIOMED-2 Concerted Action, and the European Study Group on MRD Detection in ALL [14, 24, 30]. These standards are routinely applied, particularly in Western Europe, for the MRD-based stratification of ALL treatment. However, in some countries ALL therapeutic protocols are still being applied in which MRD diagnostics is not obligatory for risk-group assessment, such as the ALL-IC-BFM 2002 protocol. In these countries, like in Poland, an urgent need for the development of routine MRD diagnostics is indicated. The introduction of MRD assessment into clinical practice might be performed in a reasonably cost- and laboreffective manner through direct implementation of the existing European standards. European collaboration implies that these standards were based on the rearrangements most commonly identified in patients from West European countries. However, according to some authors, the frequencies of Ig/TCR gene rearrangements might differ significantly in various populations [16-18]. Scrideli et al. [17] posed an hypothesis concerning socio-economic-based diversity of Ig and TCR gene rearrangement patterns (the frequency of rearrangements in individual loci and the utilization of Ig/TCR genes in the rearrangements), which might have implications for the choice of primers for MRD diagnostics. Therefore, for those aiming to implement MRD assessment in routine molecular diagnostics, it appears justified to assess the applicability of the chosen protocols and primer sets for efficient detection of MRD markers. Characterization of the rearrangement pattern, particularly the identification of distinctive features of the pattern in the target population, enables modification of the protocols to ensure successful selection of MRD markers. Since MRD diagnostics is currently being developed in Poland, we performed a feasibility study of the standard strategy for the identification of Ig/TCR MRD targets in Polish patients. We also evaluated the need for modifying European standards due to the specificity of the Polish pattern. To address these goals we performed an identification of the Ig/TCR gene rearrangement pattern using standard primer sets and protocols and compared the identified pattern with those reported for patients of other, mainly European, nationalities. We previously reported our preliminary results on the identification of the antigen receptor gene rearrangement pattern in a group of 23 Polish pediatric B-cell precursor ALL patients (BCP-ALL) [9]. In the present study we identified the rearrangement pattern in a larger cohort of 58 BCP-ALL children (including the 23 patients from our previous study), which enabled verification of our preliminary observations using statistical methods. We demonstrated convergence of the Ig/TCR rearrangement pattern identified in Polish patients with the results published for other European cohorts. This finding supports the idea of direct implementation of the standard strategy into MRD diagnostics in our country. Moreover, in the present study we assessed the efficacy of detecting Ig and TCR gene rearrangements using exclusively the singleplex PCR approach vs. a combined singleplex-multiplex approach, which might be applied for the design of a cost- and labor-effective MRD diagnostic approach. Our results might be useful for other countries undertaking the development of MRD diagnostics based on available European standards.

Materials and Methods

Patients

We studied 58 consecutive patients with newly diagnosed BCP-ALL being treated according to the ALL IC BFM 2002 protocol, recruited (based on written informed consent and the availability of biological material of suitable amount and quality) between 2003–2006 in two hematological centers, Poznań and Bydgoszcz. The group was representative of the country in view of the considerable homogeneity of the Polish population. The cohort of patients consisted of 27 females and 31 males aged 1.1–16.7 years at the time of diagnosis (mean age: 6.9 years). Diagnosis of BCP-ALL was based on the French-American-British classification and flow cytometric immunophenotyping with the use of a standard set of monoclonal antibodies [15].

Material

Bone marrow samples obtained before the commencement of treatment were subjected to Ficoll-Paque (Pharmacia Biotech, Sweden) or Gradisol L (Aqua-Medica, Poland) density gradient centrifugation for mononuclear cell (MNC) separation. Three methods were used for DNA extraction; the majority of DNA extractions were performed using QIAamp DNA Blood Mini Kit (Qiagen, Germany), some using the NaCl precipitation-based protocol (salting-out method), and a few MNC samples were processed by boiling in Qiagen PCR buffer (1 × containing 1.5 mM MgCl2, 95°C, 10 min).

Detection of Ig/TCR gene rearrangements by PCR amplification

Detection of Ig/TCR rearrangements was performed with the use of the BIOMED-1 and BIOMED-2 protocols and standard primers, including BIOMED-1 and BIOMED-2 primers. In all 58 patients a singleplex PCR approach using the BIOMED-1 primers was applied for amplification of the rearrangements IGK-Kde, incomplete TCRD (Vδ2-Dδ3, Dδ2-Dδ3), and TCRG [14]. Complete IGH rearrangements [33] and TCRD/A (Vδ2-Jα29) rearrangements were also detected with the singleplex approach using standard “non-BIOMED” primers [20]. Moreover, in 23 of these patients a multiplex approach was applied for detection of rearranged TCRB genes using BIOMED-2 primers [30]. Incomplete IGH [22] and Vδ2-Jα [20] rearrangements were also detected in these 23 patients with the multiplex approach using standard “non-BIOMED” primers. Amplification was performed in a 50-µl volume containing 50 ng of genomic DNA, 200 µM of each dNTP, 7 and 14 pmol of the 5′ and 3′ oligonucleotide primers (Sigma/Oligo, Poland) in singleplex reactions or 10 pmol of the 5′ and 3′ primers (Sigma-Aldrich, USA) in the multiplex approach, 1.5 and 1.5–3 mM MgCl2 (in the singleplex and multiplex approach, respectively), 0.5 U of TaqGold (Applied Biosystems, USA) or 0.65 U of HotStar-Taq (Qiagen, Germany) polymerase in singleplex reactions, and 1–2 U TaqGold (Applied Biosystems, USA) polymerase in the multiplex approach. In each PCR, negative and relevant positive controls were amplified. The cycling conditions were 95°C for 7 min, 35 × (94°C for 45 s, 60°C for 90 s, and 72°C for 2 min), and 72°C for 10 min. Standard agarose gel electrophoresis was used to select the PCR products containing the specific amplicons for further analysis.

Heteroduplex analysis

Heteroduplex analysis for discriminating between monoclonal and polyclonal PCR products derived from clonal leukemic cells and polyclonal reactive lymphocytes, respectively, was performed according to a standard protocol [11]. Briefly, the PCR products were denaturated (94°C, 5 min) and subsequently renaturated (4°C, 1 h) to allow duplex formation. The samples were immediately loaded onto 6% non-denaturating polyacrylamide gel, run in 0.5×TBE buffer, and stained with ethidium bromide. Detection of homoduplexes (renaturation of identical DNA single strands) indicated monoclonality. Detection of heteroduplexes (renaturation of DNA strands of partially different sequence corresponding to the junction between the rearranged genes) was interpreted according to the migration pattern as a biclonal/biallelic rearrangement (mostly two homoduplex and two heteroduplex bands, alternatively co-migrating) or oligoclonality (more than two homoduplex and heteroduplex bands, a “PCR product ladder”). A smear of PCR products indicated polyclonality.

Identification of rearrangements via sequence analysis

Monoclonal PCR products were processed with the QIAquick PCR Purification Kit (Qiagen, Germany) or were sequenced directly. Excision of the appropriate homoduplex or heteroduplex bands followed by DNA elution and precipitation was performed if more than one amplicon was detected in a single PCR (biclonal/biallelic rearrangement or multiplex PCR). Sequencing with the use of amplification primers [14, 20, 22, 30, 33] was carried out in both directions. The identification of rearranged genes was performed by comparison of the obtained sequences with germline sequences available in the databases IMGT® (http://imgt.cines.fr; European Bioinformatics Institute, Montpellier, France) and VBASE (http://www.mrccpe.cam.ac.uk; Center for Protein Engineering, Cambridge, UK). Homology between the sequences was analyzed with the use of DNAPLOT (W. Müller, H-H. Althaus, University of Cologne, Germany) and SeqMan II Lasergene v. 6 software (DNASTAR Inc., Madison, WI, USA).

Results

To determine the pattern of the rearrangements, i.e. the frequency of the rearrangements in individual Ig/TCR loci and the utilization of V (variable), D (diversity), and J (joining) genes, the rearrangements detected in the group studied were identified and characterized. Moreover, to address the efficacy of detection of Ig/TCR gene rearrangements with the use of the singleplex PCR vs. the combined singleplex and multiplex approach, relevant results obtained in the group of 58 patients were compared with those obtained for the subgroup of 23 patients, respectively.

Detection and identification of Ig/TCR gene rearrangements

In total, 211 clonal Ig/TCR gene rearrangements were detected (see Table 1 for a summary) comprising 60 IGH rearrangements (58 complete VH-(DH)-JH and 2 incomplete DH-JH), 33 IGK rearrangements (24 Vκ-Kde and 9 Intron-Kde), 48 incomplete TCRD rearrangements (34 Vδ2-Dδ3 and 14 Dδ2-Dδ3), 15 TCRD/A rearrangements (Vδ2-(Dδ3)-Jα), 51 TCRG rearrangements, and 4 TCRB rearrangements (3 complete Vβ-(Dβ)-Jβ and 1 incomplete Dβ-Jβ).
Table 1

Ig/TCR gene rearrangements found in the group of Polish B-cell precursor ALL patients

PatientIGHIGK-KdeIncomplete TCRDVδ2-JαTCRGTCRBTotal
1.1VH3.66-DH1.26-JH3Vδ2-Dδ33
Vδ2-Dδ3
3.1VH4.39-JH6Vκ3d20-KdeVδ2-Dδ3-Jα29Vγ9-Jγ1.36
Vγ4-Jγ1.3
VγI-Jγ1.3/2.3a
5.1VH3.21-DH2.8-JH6Dδ2-Dδ32
7.1VH3.9-DH5.5-JH42
DH-JHa
10.1VH1.17-DH2.2-JH5Vδ2-Dδ3Vγ4-Jγ2.16
Vδ2-Dδ3ψVγ11-Jγ2.1
Dδ2-Dδ3
15.1Vκ1.16-KdeVγ4-Jγ2.33
Vκ2.30-Kde
18.1Vδ2-Dδ32
Dδ2-Dδ3
19.1Vγ5-Jγ2.31
20.1VH2.26-JH6Vκ1.37-KdeVδ2-JαaVγ8-Jγ2.15
Vγ9-Jγ2.3
22.1VH2.5-DH2.8-JH6Vδ2-Dδ3Vγ3-Jγ1.14
VγI-Jγ1.3/2.3b
23.1VH1.3-JH61
34.1VH1.3-DH6.13-JH3Vκ2.24-KdeVδ2-Dδ3Vδ2-Jα48Vγ3-Jγ1.18
VH2.5-DH2.15-JH4Vκ2.30-KdeVγ4-Jγ1.1
37.1VH2.26-DH3.9-JH4Vκ2.30-KdeDδ2-Dδ3Vγ2-Jγ2.36
VH4.30-JH2Vγ9-Jγ2.3
40.1VH3.13-DH2.2-JH3Vδ2-Dδ3-Jα482
42.1VH1.8-DH4.4-JH4Vδ2-JαaψVγ11-Jγ2.35
VH6.1-JH5Vδ2-Jαa
43.1VH3.13-DH3.3-JH4Vδ2-Dδ32
44.1VH2.5-DH2.8-JH6Dδ2-Dδ3Vγ3-Jγ2.17
VH4/6-JHaVγ5-Jγ2.3
VH4/6-JHaVγI-Jγ1.3/2.3a
45.1Vκ2.30-KdeVδ2-Dδ3Vδ2-Dδ3-Jα29Vγ3-Jγ2.3Dβ2-Jβ2.76
Vγ9-Jγ1.3
46.1VH1.3-DH6.6-JH2Vδ2-Dδ3Vγ5-Jγ2.35
Vδ2-Dδ3
Dδ2-Dδ3
47.1VH3.21-DH3.9-JH4Vκ1.33-KdeDδ2-Dδ3Vδ2-JαaVγ2-Jγ2.37
Intron-KdeDδ2-Dδ3
48.1VH3.7-DH6.13-JH62
DH-JHa
49.1VH3.49-DH3.22-JH4Vκ1.16-KdeDδ2-Dδ3Vδ2-Jα29Vβ-(Dβ)-Jβa6
Vβ-(Dβ)-Jβa
50.1VH1.2-DH6.6-JH4Vδ2-Dδ3Vγ9-Jγ2.3Vβ-(Dβ)-Jβa5
VH4.31-DH2.2-JH4
51.1VH1.69-DH1.14-JH4Vκ1.8-KdeVδ2-Dδ3-Jα298
VH4.59-DH4.17-JH4Vκ3.15-KdeVδ2-Jα29
VH3-JHa
VH3-JHa
52.1VH3.64-DH5.24-JH4Intron-KdeVδ2-Dδ3Vγ2-Jγ1.16
VH6.1-DH6.19-JH4Vγ9-Jγ2.3
54.1VH4.61-JH6Dδ2-Dδ32
57.1VH3-JHaVγ4-Jγ2.33
VH3-JHa
58.1Intron-KdeVδ2-Dδ32
60.1VH4/6-JHb1
61.1VH4.39-DH3.22-JH4Vδ2-Dδ32
64.1VH3.7-JH4Vδ2-Dδ32
68.1Vκ2.30-KdeVδ2-Dδ3Vγ5-Jγ1.15
Intron-KdeVδ2-Dδ3
69.1VH3.53-DH3.3-JH6Vδ2-Dδ3Vδ2-Jα29Vγ2-Jγ1.15
Vγ3-Jγ1.3
70.1VH3.21-JH4Vκ1.33-KdeVδ2-Dδ35
Intron-KdeVδ2-Dδ3
72.1VH3.23-JH4Vκ1.17-KdeVδ2-Jα298
Vκ3.20-Kde
73.1VH4.61-DH2.2-JH6Intron-KdeψVγ11-Jγ2.33
74.1VH3-JHbIntron-KdeDδ2-Dδ3Vδ2-Jα29Vγ9-Jγ2.36
Vδ2-Dδ3
75.10
77.1VH3.23-DH2.8-JH5Vκ1.27-KdeVγ9-Jγ1.34
VH6.1-DH3.3-JH5
78.1Vγ9-Jγ1.12
ψVγ11-Jγ2.3
79.1VH3.30-DH4.4-JH4Vκ1.9-KdeVδ2-Dδ3Vγ9-Jγ2.36
VκI-KdeaVγ2-Jγ2.3
80.1VH1.8-DH2.8-JH4Vκ1.33-Kdee3
Vκ2.24-Kde
84.1VγIV-Jγ1.1/2.1a4
VγIV-Jγ1.1/2.1a
VγI-Jγ1.3/2.3a
VγI-Jγ1.3/2.3a
85.1Vδ2-Dδ3Vγ2-Jγ2.35
Dδ2-Dδ3VγI-Jγ1.1/2.1a
VγI-Jγ1.1/2.1a
86.1VH1.3-DH2.2-JH21
91.1Vδ2-Dδ31
94.1Vκ4.1-KdeVδ2-Dδ3Vδ2-Jα293
95.1VH3.23-DH1.7-JH41
96.1Vκ2.30-KdeVγ2-Jγ2.33
Vγ9-Jγ2.3
97.1VγI-Jγ1.1/2.1a2
VγI-Jγ1.1/2.1a
100.1VH5.51-DH1.26-JH4Vκ2.30-KdeVδ2-Dδ3Vγ5-Jγ2.37
VH1.46-DH1.26-JH4Vδ2-Dδ3VγI-Jγ1.3/2.3a
102.1VH3-JHaVδ2-Dδ34
VH3-JHaVδ2-Dδ3
103.1VH2.26-DH6.13-JH6Dδ2-Dδ34
Dδ2-Dδ3
Vδ2-Dδ3
104.1VH6.1-JH4Vδ2-Dδ3Vγ9-Jγ2.33
106.10
108.1VH2.26-DH6.13-JH42
VH3.13-DH3.10-JH4
110.1VH3.23-JH6Intron-KdeVδ2-Dδ34
Vδ2-Dδ3
113.1VH3.43-DH3.3-JH4Intron-Kde2

a Clonal rearrangements (based on heteroduplex analysis) not identified due to substantial proximity of migrating duplexes; it was impossible to cut the separate bands from the gel for further sequencing.

b Monoclonal rearrangements (based on heteroduplex analysis); V(D)J genes not unequivocally identified despite repeated sequencing.

Ig/TCR gene rearrangements found in the group of Polish B-cell precursor ALL patients a Clonal rearrangements (based on heteroduplex analysis) not identified due to substantial proximity of migrating duplexes; it was impossible to cut the separate bands from the gel for further sequencing. b Monoclonal rearrangements (based on heteroduplex analysis); V(D)J genes not unequivocally identified despite repeated sequencing. In the singleplex PCR approach, at least one clonal rearrangement was detected in 97% (56/58) of the BCP-ALL patients and at least two in 86% (50/58) of the patients. Insufficient quality of the DNA samples was excluded by amplification of the 100-, 200-, 400-, and 600-bp DNA fragments in multiplex PCR (BIOMED-2 Control Gene tube) in the case of the two patients in whom no PCR products were detected [30]. The number of rearrangements detected per patient ranged from 0 to 8, both cases occurring with a frequency of 3% (2/58), with 2 rearrangements as the most frequent number of rearrangements/patient (mode) occurring with a frequency of 24% (14/58). The mean number of rearrangements/patient was 3.6. In the case of the 23 patients (singleplex-multiplex approach), at least one clonal rearrangement was detected in 100% of the patients and at least two in 91% (21/23) of the patients. The number of rearrangements/patient ranged from 1 (2/23, 9%) to 8 (1/23, 4%), with a mode of rearrangements of 2 (6/23, 26%) and a mean of 4.2. The distributions of the number of rearrangements/patient detected in the groups of 58 and 23 patients are presented in Fig. 1.

Distribution of the number of rearrangements per patient detected in a total group of 58 patients (in a singleplex PCR approach) and in a subgroup of 23 patients (in a combined singleplex and multiplex PCR approach).

Distribution of the number of rearrangements per patient detected in a total group of 58 patients (in a singleplex PCR approach) and in a subgroup of 23 patients (in a combined singleplex and multiplex PCR approach). In total, 179 rearrangements were identified, comprising 48 IGH rearrangements (37 VH-DH-JH and 11 VH-JH), 32 IGK rearrangements (23 Vκ-Kde and 9 Intron-Kde), 48 incomplete TCRD rearrangements (34 Vδ2-Dδ3 and 14 Dδ2-Dδ3), 11 TCRD/A rearrangements (6 Vδ2-Jα29, 3 Vδ2-Dδ3-Jα29, 1 Vδ2-Jα48, and 1 Vδ2-Dδ3-Jα48), 39 TCRG rearrangements, and 1 TCRB (Dβ-Jβ) rearrangement. In Table 1 are listed the Ig/TCR gene rearrangements found in the total group of patients.

Pattern of Ig/TCR gene rearrangements

The pattern of the frequencies of rearrangements detected in the individual Ig/TCR loci is presented in Table 2. The frequencies are depicted either for the total group of 58 patients (Ig/TCR loci screened in the singleplex approach) or for the subgroup of 23 patients (rearrangements detected in the multiplex approach, e.g. DH-JH, or in the combined singleplex-multiplex approach, e.g. total frequency for the IGH locus).
Table 2

The pattern of the frequency of the rearrangements detected in Ig/TCR loci in Polish B-cell precursor ALL patients

Number of patientsFrequency of rearrangements
subjected to PCR screeningwith at least one rearrangement detected
IgIGHVH-(DH)-JH584374%
DH-JH2329%
total IGH58a, 23b43a, 19b74%a, 83%b
IGK-KdeVκ-Kde581831%
Intron-Kde58916%
total IGK-Kde582441%
Total Ig58a, 23b49a, 21b84%a, 91%b
TCRTCRDincompleteVδ2-Dδ3582645%
Dδ2-Dδ3581221%
total inc. TCRD583255%
Vδ2-JαVδ2-(Dδ3)-Jα2958814%
Vδ2-(Dδ3)-Jα23522%
total Vδ2-Jα58a, 23b13a, 8b22%a, 35%b
Total TCRD58a, 23b38a, 18b66%a, 78%b
TCRGVγ-Jγ582950%
TCRBVβ-(Dβ)-Jβ2329%
Dβ-Jβ2314%
total TCRB23313%
Total TCR58a, 23b47a, 20b81%a, 87%b
Total Ig/TCR58a, 23b56a, 23b97%a, 100%b

a, b Refer to groups of patients in whom particular rearrangements were screened for in either the singleplex or the combined singleplex-multiplex PCR approach.

The pattern of the frequency of the rearrangements detected in Ig/TCR loci in Polish B-cell precursor ALL patients a, b Refer to groups of patients in whom particular rearrangements were screened for in either the singleplex or the combined singleplex-multiplex PCR approach. Moreover, the frequencies of variable, diversity, and joining genes in the rearrangements identified in the individual Ig/TCR loci were studied to determine the pattern of V(D)J utilization. The most relevant results follow. Rearrangements in the IGH locus most frequently involved the VH3, VH1, VH2, and VH4 family members in 40% (19/48), 21% (10/48), 15% (7/48), and 15% of the IGH rearrangements, respectively, DH2 (30%, 11/37), DH3 (24%, 9/37), and DH6 (19%, 7/37) family members, and JH4 (54%, 26/48), and JH6 (25%, 12/48) genes. Of the rearrangements in IGK locus, Vκ1 (43%, 10/23) and Vκ2 (39%, 9/23) family members were most frequently identified. In the TCRD locus, Vδ2-Dδ3 (71%, 34/48) rearrangements were predominantly identified over Dδ2-Dδ3 (29%, 14/48). In TCRD/A rearrangements, Vδ2 or Vδ2-Dδ3 genes were found to be rearranged with only two of the Jα genes, Jα29 in 82% (9/11) and Jα48 in 18% (2/11), of the rearrangements. In the TCRG locus the rearrangements most frequently involved VγI (59%, 23/39) and VγII (31%, 12/39) family member genes and Jγ2.3 (59%, 23/39) gene.

Comparison of Ig/TCR rearrangement pattern in Polish patients and other nationalities

The frequencies of the rearrangements detected in individual Ig/TCR loci in the group of Polish patients were compared with the data obtained (using the PCR approach) in patients of other, mainly European, nationalities. The results of the analysis are presented in Table 3. The U-Gauss test was used to verify the statistical significance of the differences observed between the frequencies of the rearrangements in the studied group and those of other nationalities. The only statistically relevant differences (p values <0.05) were found between the incidence of DH-JH rearrangements in Polish (9%), Dutch (24%), and Italian patients (19%; p<0.05 in both tests), the frequency of VH-JH rearrangements in Polish (74%) and Chilean patients (100%; p<0.05), and the frequency of rearrangements in the TCRG locus in Polish (50%) and Brazilian patients (69%; p<0.05). In the remaining tests the p values were greater than 0.05.
Table 3

Comparison of Ig/TCR gene rearrangement patterns in Polish patients and other nationalities identified by the PCR-heteroduplex approach

StudyCountryNumber of patientsFrequency of rearrangements in Ig/TCR loci [%]
VH-JHDH-JHIGHIGK-Kdeincomplete TCRDVδ2-JαTCRDTCRGTCRB
Present studyPoland58a74a9b83b41a55a35b78b50a13b
23b45a (Vδ2-Dδ3)
21a (Dδ2-Dδ3)
van der Velden et al. [27]The Netherlands2718224884340 (Vδ2-Dδ3)467258
14 (Dδ2-Dδ3)
Germano et al. [10]Italy53771983426262
Meleshko et al. [13]Belarus677863
51 (Vδ2-Dδ3)45
36 (Dδ2-Dδ3)
Barriga et al. [1]Chile32100
Scrideli et al. [17]Brazil7969
Szczepański et al. [20]The Netherlands33941
Brumpt et al. [4]France74c92c43d (Vδ2-Dδ3)66c
23d
Cavé et al. [7]France and Belgium1886157
van der Velden et al. [23]The Netherlands16133

a, b, c, d Refer to groups of patients in whom particular rearrangements were screened for; frequencies depicted in bold mean that p<0.05 was obtained in the U-Gauss test.

Comparison of Ig/TCR gene rearrangement patterns in Polish patients and other nationalities identified by the PCR-heteroduplex approach a, b, c, d Refer to groups of patients in whom particular rearrangements were screened for; frequencies depicted in bold mean that p<0.05 was obtained in the U-Gauss test.

Discussion

The current standards for MRD diagnostics in lymphoproliferative disorders are based on analyses performed in patients from Western European countries. Thus the standard primers are aimed at the detection of the Ig and TCR gene rearrangements most frequently identified in these patients. However, there are data on inter-population diversity in the pattern of rearrangements and the existence of “population-specific” characteristics of the pattern [16, 17]. The impact of ethnic or socio-economic factors (e.g. earlier or greater exposure to bacterial and viral antigens) on the frequency of the rearrangements has been suggested [17]. Although this hypothesis still needs verification, it is beyond doubt that the determination of a specific Ig/TCR gene rearrangement pattern in a given population might have implications for the choice of primers for detecting the rearrangements. Therefore, this paper might be of particular interest for those aiming at introducing the European standards into molecular diagnostics of MRD. Considerable convergence of the rearrangement pattern in Polish patients and those identified in European nationalities (mainly West Europeans) is demonstrated by comparison of the frequencies of the rearrangements in the Ig/TCR loci (Table 3). Except for the lower incidence of DH-JH rearrangements in the present study compared with those in Dutch [27] and Italian [10] patients (9% vs. 24% and 19%, respectively, p<0.05 in both tests), no statistically significant differences are observed between the rearrangement patterns in Polish and European patients. The lower frequency of DH-JH rearrangements detected in the group studied is rather unlikely to be Polish specific. It is most probably due to the fact that DH-JH rearrangements are detected in BCP-ALL patients at a relatively low frequency combined with the small group of patients in whom these rearrangements were studied (a subgroup of 23 patients). We interpret the frequency of TCRB rearrangements, in the present study lower (though not significantly) than that reported for Dutch patients [23], similarly. In contrast, the statistically significant difference found between the frequencies of rearrangements in the TCRG locus in Polish and Brazilian patients might support the hypothesis by Scrideli et al. [17] of the socio-economic/ethnic-based diversity of rearrangements patterns. However, more studies with patients of different populations (from both “well-developed” and “low-resources” countries) need to be conducted to unequivocally determine the impact of these factors on the rearrangement patterns. To provide more detailed insight into the pattern of Ig/TCR gene rearrangements in Polish patients, we also analyzed utilization of the VH, DH, JH, Vκ, Jα, Vγ, Jγ genes in the identified rearrangements and the profiles of Vκ-Kde vs. intron-Kde and Vδ2-Dδ3 vs. Dδ2-Dδ3 rearrangements. Comparison of our results with published data further confirms the convergence of the rearrangement patterns of Polish patients and other populations [2, 3, 5, 6, 8, 12, 13, 19, 20, 27–29, 32]. Moreover, to provide information potentially useful for the design of a cost-effective MRD diagnostic approach, we evaluated the efficiency of detecting Ig/TCR gene rearrangements based on the singleplex PCR approach and combined singleplex-multiplex approach. Our data show that use of exclusively singleplex PCRs (encompassing a broad gene rearrangement panel: complete IGH, IGK-Kde, Vδ2-Dδ3, Dδ2-Dδ3, Vδ2-Jα29, and TCRG) enables detection of at least one clonal rearrangement in 97% of BCP-ALL patients. Application of additional multiplex reactions (for incomplete IGH, Vδ2-Jα, and TCRB rearrangements) results in the detection of at least one rearrangement in 100% of patients. The mean number of rearrangements detected per patient reaches 3.6 in the singleplex approach and 4.2 in the singleplex-multiplex approach. Our results are in concordance with those reported by other groups analyzing a comparably broad panel of rearrangements (Table 4).
Table 4

Frequency of detection of at least one and at least two clonal Ig/TCR gene rearrangements in Polish patients and in comparable studies of patients of other nationalities (based on the PCR-heteroduplex approach)

StudyCountryNumber of patientsRearrangements included in PCR screening
VH-JHDH-JHIGK-KdeincompleteVδ2-JαcompleteTCRGTCRBFrequency of rearrangements [%]Mean number of rearrangements
TCRDTCRDmin 1min 2
Present studyPoland58a++++a+97863.6
23b++b+100914.2
van der Velden et al. [27]The Netherlands271++++++>9595
Germano et al. [10]Italy53++++++1004
Szczepański et al. [21]The Netheretlands89+++++984

− Relevant results were either not obtained or not reported in the cited papers.

a In the total group of 58 patients, Vδ2-Jα29 was the only Vδ2-Jα rearrangement screened for in the singleplex PCR approach.

b In the subgroup of 23 patients, Vδ2-Jα29 was screened for in the singleplex PCR approach; other Vδ2-Jα rearrangements were screened for in the multiplex-PCR approach.

Incomplete TCRD (Vδ2-Dδ3, Dδ2-Dδ3), complete TCRD (Vδ1-Jδ1, Vδ2-Jδ1, Dδ2-Jδ1).

Frequency of detection of at least one and at least two clonal Ig/TCR gene rearrangements in Polish patients and in comparable studies of patients of other nationalities (based on the PCR-heteroduplex approach) − Relevant results were either not obtained or not reported in the cited papers. a In the total group of 58 patients, Vδ2-Jα29 was the only Vδ2-Jα rearrangement screened for in the singleplex PCR approach. b In the subgroup of 23 patients, Vδ2-Jα29 was screened for in the singleplex PCR approach; other Vδ2-Jα rearrangements were screened for in the multiplex-PCR approach. Incomplete TCRD (Vδ2-Dδ3, Dδ2-Dδ3), complete TCRD (Vδ1-Jδ1, Vδ2-Jδ1, Dδ2-Jδ1). However, it should be stressed that according to current standards for MRD diagnostics [24, 25], the use of at least two clonal rearrangements for detecting a malignant clone is recommended to avoid false-negative results as a consequence of the loss of an MRD marker due to secondary and ongoing Ig/TCR rearrangements and clonal evolution (described elsewhere) [21]. Our data show that at least two clonal rearrangements are detected in 86% of patients and in 91% of patients using the singleplex and singleplex-multiplex approaches, respectively. In a study by van der Velden et al. [27], at least two MRD markers were detected in 95% of patients in a combined singleplex-multiplex approach. This is more than the frequency detected in the present study, which might be because the cohort of Dutch patients substantially outnumbered that of the Polish patients (a subgroup of 23 patients for whom the combined singleplex-multiplex approach was used). Detection of at least one clonal rearrangement in nearly 100% of patients and at least two rearrangements in 86% of patients (with the singleplex approach) contrasted with the efficiency obtained in the singleplex-multiplex approach (100 and 91%, respectively) indicates the need for MRD diagnostics based on a broad panel of rearrangements (detected preferably with both the singleplex and multiplex approach). However, if cost is a concern, it might be reasonable to perform singleplex PCRs (encompassing a broad gene rearrangement panel) as the basic PCR screening for all patients and, in cases of unsatisfactory results of Ig/TCR-MRD marker selection, to broaden the PCR screening with multiplex PCRs. In conclusion, the considerable convergence in the rearrangements patterns (frequencies of rearrangements and profiles of V(D)J gene utilization) demonstrated in Polish and European patients, including West European nationalities, indicates no Polish-specific characteristics of the rearrangement pattern. This enables us to conclude that in the case of Polish BCP-ALL patients, the strategy for detecting Ig/TCR gene rearrangements based on standard primers and protocols might be directly applied in the molecular diagnostics of MRD. Comparison of the efficiencies of detecting Ig/TCR rearrangements in a given population with singleplex and singleplex-multiplex PCR might be helpful in choosing a cost- and labor-effective Ig/TCR-PCR screening approach. It might be reasonable for other countries aiming to introduce European MRD-standards to perform similar feasibility studies of the standard primers and protocols in their particular populations of patients to identify or exclude population-specific characteristics of Ig/TCR rearrangement patterns and design an optimal diagnostic setting for MRD analysis.
  32 in total

1.  Real-time quantitative PCR for detection of minimal residual disease before allogeneic stem cell transplantation predicts outcome in children with acute lymphoblastic leukemia.

Authors:  V H van der Velden; S A Joosten; M J Willemse; E R van Wering; A W Lankester; J J van Dongen; P M Hoogerbrugge
Journal:  Leukemia       Date:  2001-09       Impact factor: 11.528

Review 2.  Detection of minimal residual disease in hematologic malignancies by real-time quantitative PCR: principles, approaches, and laboratory aspects.

Authors:  V H J van der Velden; A Hochhaus; G Cazzaniga; T Szczepanski; J Gabert; J J M van Dongen
Journal:  Leukemia       Date:  2003-06       Impact factor: 11.528

3.  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.

Authors:  V H J van der Velden; M J Willemse; C E van der Schoot; K Hählen; E R van Wering; J J M van Dongen
Journal:  Leukemia       Date:  2002-05       Impact factor: 11.528

4.  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.

Authors:  Tomasz Szczepański; Marja J Willemse; Bas Brinkhof; Elisabeth R van Wering; Mirjam van der Burg; Jacques J M van Dongen
Journal:  Blood       Date:  2002-04-01       Impact factor: 22.113

5.  T cell receptor gamma (TCRG) gene rearrangements in Brazilian children with acute lymphoblastic leukemia: analysis and implications for the study of minimal residual disease.

Authors:  Carlos A Scrideli; Rosane G P Queiróz; Simone Kashima; Bianca O M Sankarankutty; Luiz G Tone
Journal:  Leuk Res       Date:  2004-03       Impact factor: 3.156

6.  Age-related patterns of immunoglobulin and T-cell receptor gene rearrangements in precursor-B-ALL: implications for detection of minimal residual disease.

Authors:  V H J van der Velden; T Szczepanski; J M Wijkhuijs; P G Hart; P G Hoogeveen; W C J Hop; E R van Wering; J J M van Dongen
Journal:  Leukemia       Date:  2003-09       Impact factor: 11.528

7.  Vdelta2-Jalpha rearrangements are frequent in precursor-B-acute lymphoblastic leukemia but rare in normal lymphoid cells.

Authors:  Tomasz Szczepanski; Vincent H J van der Velden; Patricia G Hoogeveen; Maaike de Bie; Daniëlle C H Jacobs; Elisabeth R van Wering; Jacques J M van Dongen
Journal:  Blood       Date:  2003-12-04       Impact factor: 22.113

Review 8.  Design and standardization of PCR primers and protocols for detection of clonal immunoglobulin and T-cell receptor gene recombinations in suspect lymphoproliferations: report of the BIOMED-2 Concerted Action BMH4-CT98-3936.

Authors:  J J M van Dongen; A W Langerak; M Brüggemann; P A S Evans; M Hummel; F L Lavender; E Delabesse; F Davi; E Schuuring; R García-Sanz; J H J M van Krieken; J Droese; D González; C Bastard; H E White; M Spaargaren; M González; A Parreira; J L Smith; G J Morgan; M Kneba; E A Macintyre
Journal:  Leukemia       Date:  2003-12       Impact factor: 11.528

9.  Clonality profile in relapsed precursor-B-ALL children by GeneScan and sequencing analyses. Consequences on minimal residual disease monitoring.

Authors:  G Germano; L del Giudice; S Palatron; E Giarin; G Cazzaniga; A Biondi; G Basso
Journal:  Leukemia       Date:  2003-08       Impact factor: 11.528

10.  T cell receptor gamma gene rearrangements as targets for detection of minimal residual disease in acute lymphoblastic leukemia by real-time quantitative PCR analysis.

Authors:  V H J van der Velden; J M Wijkhuijs; D C H Jacobs; E R van Wering; J J M van Dongen
Journal:  Leukemia       Date:  2002-07       Impact factor: 11.528

View more
  5 in total

1.  Immunoglobulin and T cell receptor gene high-throughput sequencing quantifies minimal residual disease in acute lymphoblastic leukemia and predicts post-transplantation relapse and survival.

Authors:  Aaron C Logan; Nikita Vashi; Malek Faham; Victoria Carlton; Katherine Kong; Ismael Buño; Jianbiao Zheng; Martin Moorhead; Mark Klinger; Bing Zhang; Amna Waqar; James L Zehnder; David B Miklos
Journal:  Biol Blood Marrow Transplant       Date:  2014-04-24       Impact factor: 5.742

Review 2.  Current Strategies for the Detection of Minimal Residual Disease in Childhood Acute Lymphoblastic Leukemia.

Authors:  Juliana Maria Camargos Rocha; Sandra Guerra Xavier; Marcelo Eduardo de Lima Souza; Juliana Godoy Assumpção; Mitiko Murao; Benigna Maria de Oliveira
Journal:  Mediterr J Hematol Infect Dis       Date:  2016-04-10       Impact factor: 2.576

3.  Minimal residual disease detection in Tunisian B-acute lymphoblastic leukemia based on immunoglobulin gene rearrangements.

Authors:  S Besbes; W S Hamadou; M L Boulland; Y B Youssef; B Achour; H Regaieg; A Khelif; T Fest; Z Soua
Journal:  Braz J Med Biol Res       Date:  2017-01-16       Impact factor: 2.590

4.  Experience with the BIOMED-2 standardized polymerase chain reaction protocol for immunoglobulin and T- cell receptor clonality analysis in the Instituto Nacional de Cancerología, Colombia

Authors:  Nicolás Villamizar-Rivera; Natalia Olaya
Journal:  Biomedica       Date:  2022-05-01       Impact factor: 1.173

5.  Clonality analysis of lymphoid proliferations using the BIOMED-2 clonality assays: a single institution experience.

Authors:  Ira Kokovic; Barbara Jezersek Novakovic; Petra Cerkovnik; Srdjan Novakovic
Journal:  Radiol Oncol       Date:  2014-04-25       Impact factor: 2.991

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.