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Blood, Vol. 96 No. 2 (July 15), 2000: pp. 640-646

NEOPLASIA

High detection rate of T-cell receptor beta chain rearrangements in T-cell lymphoproliferations by family specific polymerase chain reaction in combination with the GeneScan technique and DNA sequencing

Chalid Assaf, Michael Hummel, Edgar Dippel, Sergij Goerdt, Hans-Henning Müller, Ioannis Anagnostopoulos, Constantin E. Orfanos, and Harald Stein

From the Institute of Pathology, Consultation and Reference Center for Lymph Node Pathology and Hematopathology and Department of Dermatology, University Medical Centre Benjamin Franklin, The Free University of Berlin, Berlin, Germany.


    Abstract
Top
Abstract
Introduction
Patients, materials, and...
Results
Discussion
References

The distinction between benign polyclonal and malignant monoclonal lymphoid disorders by morphology or immunophenotyping is frequently difficult. Therefore, the demonstration of clonal B-cell or T-cell populations by detecting identically rearranged immunoglobulin (Ig) or T-cell receptor (TCR) genes is often used to solve this diagnostic problem. Whereas the detection of rearranged Ig genes is well established, TCR gamma (gamma ) and beta (beta ) gene rearrangements often escape detection with the currently available polymerase chain reaction (PCR) assays. To establish a sensitive, specific, and rapid method for the detection of rearranged TCR-beta genes, we developed a new PCR approach with family-specific Jbeta primers and analyzed the resulting PCR products by high-resolution GeneScan technique. The superior efficiency of this new method was demonstrated by investigating 132 DNA samples extracted from lymph node and skin biopsy specimens (mostly formalin fixed) and blood samples of 62 patients who had a variety of T-cell lymphomas and leukemias. In all but 1 of the tumor samples (98.4%) a clonal amplificate was detectable after TCR-beta PCR and the same clonal T-cell population was also found in 15 of 18 (83%) of the regional lymph nodes and in 7 of 11 (64%) of the peripheral blood samples. Direct comparison of these results with those obtained currently by the most widely applied TCR-gamma PCR revealed an approximate 20% lower detection rate in the same set of samples than with the TCR-beta PCR method. These results indicate that the new TCR-beta PCR is most suitable for a rapid and reliable detection of clonal T-cell populations. (Blood. 2000;96:640-646)

© 2000 by The American Society of Hematology.


    Introduction
Top
Abstract
Introduction
Patients, materials, and...
Results
Discussion
References

The distinction between malignant lymphomas and reactive lymphoproliferative lesions is often difficult or impossible to make by conventional histology alone. This holds true especially for the identification of peripheral T-cell lymphomas consisting predominantly of small cells such as mycosis fungoides, or of a mixture of small and large cells like those in angioimmunoblastic or lymphoepitheloid T-cell lymphomas. Although the availability of several monoclonal antibodies has improved the recognition of T-cell subpopulations, the differentiation between non-neoplastic and neoplastic T cells still remains a problem. The configuration of the T-cell receptor (TCR) genes has often been proposed as the most valuable tool for identifying malignant T-cell proliferation. In normal and reactively proliferating T cells, these genes are rearranged differently (ie, polyclonal), whereas in T-cell lymphomas, the neoplastic cells contain identically rearranged monoclonal TCR genes.

Initially, the Southern blot technique was used to determine the clonality of the TCR gene rearrangements.1,2 For this purpose, the TCR-beta chain gene was most often analyzed, because all, or almost all, T cells harbor functionally rearranged TCR-beta genes as evidenced on the protein level.3-7 Although this assay may detect clonal T-cell populations in the vast majority of T-cell lymphomas, several drawbacks such as low sensitivity, the need for large amounts of fresh frozen tissue, and of radioactively labeled probes, will exclude this technique as a general diagnostic tool. Attempts to develop a polymerase chain reaction (PCR)-based method for the detection of clonally rearranged TCR-beta genes in DNA samples proved to be difficult, because primers capable of binding all different 65 variable (Vbeta ) and 13 joining (Jbeta ) segments8-13 require too many consensus positions.14,15 This leads to a low detection rate of T-cell malignancies, especially when applied to degraded DNA extracted from formalin-fixed tissue.16,17 To overcome this problem, most of the previous studies used RNA extracts in conjunction with reverse transcriptase (RT)-PCR.18,19 However, this approach is limited to the investigation of fresh frozen samples and not applicable to formalin-fixed tissue specimens.

Therefore, various PCR assays have often been designed for the detection of TCR-gamma gene rearrangements at the DNA level because of the simpler configuration of this gene and the greater homology within the various Vgamma and Jgamma gene segments.20,21 Although the TCR-gamma PCR is applicable to DNA extracted from formalin-fixed tissue specimens, it has the drawback that 10% to 50% of the T-cell lymphomas escape detection, irrespective of the proportion of tumor cells.22-30

Because of these limitations, there is a broad need for the development of a new technique that may allow the identification of clonal TCR rearrangements with a high detection rate, even in paraffin-embedded tissues. In this paper, we describe a TCR-beta PCR that overcomes these disadvantages by designing new family-specific Jbeta primers applied in combination with a previously published Vbeta consensus primer.31 With this assay, we investigated 132 samples obtained from 53 patients with T-cell non-Hodgin's lymphoma (T-NHL) and 9 patients with acute lymphoblastic leukemia (ALL). For control, 37 samples of reactive B-cell and T-cell lesions were included. For comparison, the 169 samples studied were also analyzed by a TCR-gamma PCR, covering all known Vgamma segments, and the results of both assays were compared using the high-resolution GeneScan technique. Most clonal PCR products were confirmed by direct sequencing. Clonal TCR-beta rearrangements were found in all but 1 of the T-cell malignancies (98.4%) investigated, whereas clonally rearranged TCR-gamma genes were detectable in only 80%. The results obtained recommend the TCR-beta PCR as a new valid technique for the detection of clonal T-cell populations in patients with T-lineage lymphomas and leukemias.


    Patients, materials, and methods
Top
Abstract
Introduction
Patients, materials, and...
Results
Discussion
References

Patient samples and cell lines

A total of 132 samples from 62 patients with malignant T-cell disease were selected from the files of the Institute of Pathology and the Department of Dermatology at the Free University of Berlin. The lymphomas were diagnosed using morphologic and immunohistologic criteria according to the revised European-American lymphoma (REAL) classification.32 The series included 96 samples (skin, blood, lymph node) from 23 patients with primary cutaneous T-cell lymphoma (CTCL) in advanced stages, 12 anaplastic large cell lymphomas of T-phenotype (ALCL-T), 11 peripheral unspecified T-cell lymphomas (PTCL), 9 acute T-lymphoblastic leukemias (T-ALL), 3 angioimmunoblastic T-cell lymphomas (AILD-TCL), and 11 samples from 4 patients with intestinal T-cell lymphoma (ITCL) (Table 1). Furthermore, 16 skin biopsy specimens from patients with non-neoplastic skin disease, including 4 biopsies from subacute or chronic dermatitis and 12 biopsies from psoriasis vulgaris, were also investigated. The majority of the samples (102 of 148) were formalin-fixed and embedded in paraffin.

                              
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Table 1. Results of the TCR-beta and TCR-gamma rearrangement analysis

Positive controls consisted of 8 T-cell lines (Hut 102, MOLT 4, Jurkat, DHL-1, PEER, Karpas, Del, MO-T) and 18 peripheral T-cell lymphomas with known and sequenced clonal TCR-gamma gene rearrangements. As negative controls, 15 B-cell lymphomas, as well as 11 lymph node specimens from unspecific lymphadenopathies, and 10 peripheral blood samples from healthy donors were included (Table 1).

Immunohistology

Four-micrometer sections of paraffin-embedded tissues were immunostained using the immunoalkaline phosphatase (APAAP) method.33 The primary antibodies were directed against T-cell receptor beta -chain (clone beta F1), CD3 (polyclonal CD3), CD4 (1F6), CD8 (C8-144), CD103 (Ber-ACT8), CD45RO (OPD4), CD30 (Ber-H2), and TdT (terminal desoxynucleotidyltransferase; polyclonal TdT). With the exception of beta F1, which was from T-Cell Sciences (Cambridge, MA) and CD4 from Novocastra (Newcastle upon Tyne, UK), all other antibodies were purchased from DAKO (Glostrup, Denmark). To unmask antigen epitopes, deparaffinized tissue sections were subjected to high-pressure cooking before applying primary antibody.

DNA extraction

DNA used for PCR was extracted from 25 µm paraffin sections after dewaxing and proteinase K digestion using a QIAGEN DNA extraction kit (Qiagen, Hilden, Germany). DNA from the mononuclear cell fraction after Ficoll-Hypaque gradient of blood samples as well as from frozen tissue samples was extracted according to standard procedures.

Polymerase chain reaction for the detection of TCR-beta rearrangements

For the detection of TCR-beta gene rearrangements, 200 ng of genomic DNA was subjected to a seminested PCR. The first round of amplification was performed as 2 separate reactions involving the same Vbeta consensus primer31 (Vbeta pan: 5'-CTCGAATTCT(T/G)T(A/T) (C/T)TGGTA(C/T)C (G/A)(T/A)CA-3'; 200 ng) and 2 different primer sets (200 ng each set) consisting of 6 (Jbeta 1 family; Jbeta FS1A) and 7 (Jbeta 2 family; Jbeta FS2A) Jbeta family-specific primers, respectively (Table 2). Thirty cycles were carried out with a primer annealing temperature of 60°C (40 seconds) for the initial 5 cycles and 57°C (40 sec) for the remaining 25 cycles. For reamplification, an aliquot (1%) of the first 2 reactions was used as a template in 2 additional, separate PCRs, comprising 40 cycles each with the same annealing temperature profile as described above. The same Vbeta primer (200 ng) was used in combination with 2 nested family-specific Jbeta primer mixes (Jbeta FS1 and Jbeta FS2; 200 ng each set; Table 2). The conditions for denaturation (96°C, 15 seconds) and primer extension (72°C, 40 seconds) remained constant through all cycles of the first and second PCR, whereas the concentration of MgCl2 was 2.5 mmol/L in the first and 1.5 mmol/L in the second amplification. All reactions were carried out in a final volume of 100 µL with 0.8 mmol/L of dNTPs (200 µmol/L each) and 2.5 units Taq polymerase (Perkin Elmer, Weiterstadt, Germany) in a thermal cycler (TC9600, Perkin Elmer, Weiterstadt, Germany). It is worth noting that the application of high-quality high-performance liquid chromatographic (HPLC)-purified oligonucleotides is a decisive factor for successfully performing the TCR-beta PCR.

                              
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Table 2. Sequences of the family-specific Jbeta primers used for TCR-beta PCR


                              
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Table 3. Sequence analysis of the clonal TCR-beta rearrangements obtained from various T-cell lymphomas

Polymerase chain reaction for the detection of TCR-gamma rearrangements

TCR-gamma gene rearrangements of the Vgamma I subgroup were detected by a seminested PCR using 200 ng of genomic DNA as a template.30 The same Jgamma -specific primers were used for both rounds of amplification, whereas 2 nested Vgamma primers were subjected to the first and second PCR. The first amplification consisted of 2 separate reactions (25 cycles each), one using the Jgamma primer JGT1/223 and the other JGT323 (200 ng each), both in conjunction with Vgamma 11-8 (5'-TGCAGCCAGTCAGAAATCTTCC-3'). The reamplification was carried out in 2 separate reactions using a nested Vgamma primer (Vgamma 21-8 5'-ACAGCGTCTTC(AT)GTACTATGAC-3') and the same Jgamma -specific primers (JGT1/2 and JGT3). The cycle conditions remained constant through all PCRs being 96°C, 15 seconds for denaturation; 60°C, 30 seconds for primer annealing and 72°C, 40 seconds for primer extension. The buffer conditions were the same as those described for the reamplification of the TCR-beta PCR.

In those T-cell lymphoma cases in which no clonal TCR-gamma rearrangements were detectable with the primers for the Vgamma I subgroup, additional PCRs for the detection of rearrangements involving V segments of the Vgamma II (Vgamma 9) and Vgamma III (Vgamma 10,11) subgroups were performed as previously described23 with one exception: instead of using a conventional Taq polymerase (ie, AmpliTaq; Perkin-Elmer), we used TaqGold (Perkin-Elmer) for amplification. We found the use of TaqGold crucial for the elimination of unwanted additional PCR products (generated by the Vgamma 9-11 primers), which may cause erroneous detection of clonality.

GeneScan

For GeneScan analysis of the PCR products, the Vbeta and Vgamma primers of the reamplification were replaced by fluorescence primers of the same sequence labeled at their 5'-end with 5-carboxyflourescein (FAM). Aliquots of PCR products (1-2 µL) were mixed with loading buffer (2 µL formamide, 0.5 µL EDTA), and 0.5 µL of the internal size standard (Genescan-500) were included for precise determination of the length of the amplificates. After denaturation for 2 minutes at 90°C, the products were separated on sequencing gel and analyzed by automatic fluorescence quantification and size determination, using the computer program GENESCAN 672 (ABI 373A, Applied Biosystems, Weiterstadt, Germany).

Direct sequencing

The clonal PCR products of most T-cell lymphomas and of all T-cell lines were directly sequenced. For this purpose, reaction mixtures were separated on 6% polyacrylamid gels and stained with ethidium bromide (Figure 1). The most dominant band was cut out, and the gel slice was incubated in 25 µL distilled water for at least 24 hours. Five microliters of the supernatant were subjected to fluorescence dye terminator cycle sequencing, and the sequencing reactions were analyzed on a 377A DNA sequencer (Applied Biosystems) after removal of the unincorporated fluorescence dye. Each sequencing reaction was carried out in both directions using the primers Vbeta pan and Jbeta FS1 or Jbeta FS2.


    Results
Top
Abstract
Introduction
Patients, materials, and...
Results
Discussion
References

Primer testing, specificity, and sensitivity of the TCR-beta and TCR-gamma polymerase chain reaction

The newly designed TCR-beta PCR was established and optimized by applying DNA extracted from 8 different T-cell lines. As expected, all cell lines gave rise to single distinct PCR products that harbored the expected DNA sequences, as confirmed by DNA sequencing (Table 3). Similarly, all 18 peripheral T-cell lymphomas with known TCR-gamma rearrangements gave rise to 1 or 2 (biallelic) amplificates after application of TCR-beta PCR (Figure 2). The primers of the TCR-gamma PCR were tested as described elsewhere,23,30 demonstrating the presence of clonal PCR products in all T-cell lines analyzed so far.


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Fig 1. Ethidium bromide stained 6% polyacrylamid gel of representative TCR-beta PCR products. (S) DNA size marker. (1) Normal tonsillar tissue. (2) Lesional skin, CTCL (case 18). (3) Infiltrated lymph node, CTCL (case 18). (4) Peripheral T-cell lymphoma (case 29). (5) T-ALL (case 41). (6) Anaplastic large-cell lymphoma (case 58). (7) Intestinal T-cell lymphoma (case 53). (8) Cell line Hut102. (9) B-cell lymphoma. PCR products in lanes 1, 2, 8, and 9 were generated from DNA of frozen material, and those in lanes 3, 4, 5, 6, and 7, from DNA extracted from paraffin-embedded specimens.



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Fig 2. Comparison of the fluorescence-labeled TCR-beta and TCR-gamma PCR products by GeneScan analysis. The x-axes represent molecular size (base pairs) and the y-axes fluorescence intensity. Samples A-D were produced by TCR-beta PCR and samples E-H by TCR-gamma PCR. (A, E) Normal tonsillar tissue. (B, F) Cutaneous T-cell lymphoma (case 23). (C, G) Psoriasis. (D) T-cell line HUT102 (243 bp). (H) T-cell line HUT102 (205 bp). Note: TCR-beta PCR products regularly differ by 3 base pairs, indicating the presence of functional TCR-beta rearrangements. TCR-gamma PCR products differ by only 1 base pair, indicating frequent out-of-frame rearrangements.

The specificity of the TCR-beta and TCR-gamma PCR technique was determined by investigating 11 normal lymph nodes, 10 peripheral blood samples from healthy donors, and 15 B-cell lymphomas. In addition, 16 inflammatory dermatoses were also investigated (Table 1, Figure 2). All normal lymph node and blood samples gave rise to a polyclonal rearrangement pattern, whereas most of the remaining samples displayed an oligoclonal pattern sometimes comprising only a few dominant clones. However, repeated independent PCR assays clearly demonstrated that the dominant clones differed from each other among the various PCRs.

The sensitivity of both PCR techniques was determined by serial dilution of T-cell lines in normal tonsillar DNA. All PCR assays were able to detect between 0.5% and 1% of clonally rearranged T-cells in a polyclonal background (0.5 ng to 1 ng T-cell line DNA in 100 ng of tonsillar DNA). The use of more PCR cycles did not increase the sensitivity.

Detection of clonal T-cell populations in T-cell lymphomas and leukemias

A total of 62 histologically and clinically well-diagnosed T-cell lymphomas and leukemias, including 23 CTCLs, 12 ALCLs, 11 unspecified PTCLs, 9 T-ALLs, 4 ITCLs, and 3 AILDs, were investigated with both the TCR-beta and TCR-gamma PCR techniques (Table 1). Monoclonal T-cell populations were detectable in all but 1 of the tumor samples (61 of 62; 98%) by TCR-beta PCR, irrespective of the use of frozen or formalin-fixed material (Figure 1). Moreover, the same clonal TCR-beta rearrangement detected in the primary skin tumor was also found in 15 of 18 (83%) and 7 of 11 (64%) of the excised regional lymph nodes and the peripheral blood samples of 23 patients with CTCL (Table 4). Furthermore, multiple samples of 13 patients who had biopsies over a period of up to 3 years, all contained the same TCR-beta gene rearrangement. The presence of the same clonal TCR-beta rearrangement was confirmed in each case by repeated independent analysis, including PCR, GeneScan analysis, and DNA sequencing of most amplificates.

                              
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Table 4. TCR-beta and TCR-gamma analysis in skin, lymph node, and peripheral blood samples of 23 CTCL patients

The application of the TCR-gamma PCR using primers for the Vgamma subgroups I, II, and III to the same set of samples led to the detection of monoclonally rearranged T-cell populations in 80% (50 of 62) of the tumor samples (Table 1, Figure 3). The investigation of corresponding lymph nodes and blood samples of the patients with CTCL revealed monoclonality in only 63% and 44 %, respectively (Table 4). All but 2 of the clonal TCR-gamma rearrangements displayed involvement of segments of the Vgamma I subgroup (Vgamma 1-8), whereas 1 of the remaining 2 patients (case 12) had a clonal Vgamma 10, and the other (case 32), a biallelic Vgamma 9/Vgamma 10 rearrangement.


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Fig 3. Comparison of results. Comparison of TCR-beta (A-C) and TCR-gamma (D-F) PCR results obtained in 3 T-cell lymphomas with clonal TCR-beta rearrangements and poly/oligoclonal TCR-gamma rearrangements by GeneScan analysis. (A, D) Anaplastic large cell lymphoma (case 53). (B, E) Peripheral T-cell lymphoma, unspecified (case 34). (C, F) Intestinal T-cell lymphoma (case 50).



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Fig 4. Follow-up by GeneScan analysis in a patient with cutaneous T-cell lymphoma (case 12) by TCR-beta PCR. (A) Plaque-stage at the time of first diagnosis. (B) Lymph node involvement half year later. (C) Peripheral blood at the time of lymph node involvement. (D) Skin lesion 2 years after chemotherapy; relapse. Note: The same clonal TCR-beta rearrangement (250 bp) is detectable in all tissue specimens, but not in the peripheral blood sample.

GeneScan analysis

Application of high-resolution separation techniques such as GeneScan analysis appeared best suited for determining the presence of clonal T-cell populations. The high resolution allowed the identification of PCR products that differed by only 1 base pair (bp) in length. Furthermore, the use of internal standards enables a precise determination of the size of the PCR products, irrespective of gel-to-gel variations or gel shift artifacts often associated with other techniques. This allows monitoring of lymphoma patients by direct comparison of the results obtained at various points in time without reanalyzing the previous samples (Figure 4).31,34,35

GeneScan analysis of normal lymphoid samples displayed a Gaussian-like distribution of the sizes of the TCR-beta amplificates ranging from 234 to 261 bp (Jbeta FS1) and 237 to 264 bp (Jbeta FS2) and of TCR-gamma PCR products ranging from 192 to 220 bp (JGT1/2 primer set) and from 210 to 238 bp (JGT3 primer set). Noteworthy, the products of the TCR-gamma PCR differed by only 1 base pair in size (Figure 2E,G), indicating frequent presence of out-of-frame rearrangements, whereas the reading frame is conserved in most TCR-beta rearrangements (Figure 2A,C). T-cell lymphomas or T-cell lines were characterized by 1 or 2 dominant peaks in the GeneScan profile, indicating the presence of a clonal T-cell population. Application of both TCR PCRs to reactive T-cell proliferations, especially those in extranodal origin, resulted in some cases the appearance of few dominant PCR products. However, in contrast to the monoclonal amplificates encountered in T-cell neoplasias, these products were not reproducible in independently performed PCR assays, thus representing the presence of oligoclonal T-cell populations in these lesions.

DNA sequencing of TCR-beta polymerase chain reaction products

For investigation of the specificity of the TCR-beta PCR, we sequenced 28 amplificates derived from various T-cell lymphomas and T-cell lines (Table 3). Sequence information was obtained by direct sequencing without additional subcloning of the PCR products. All sequences of the rearranged Vbeta and Jbeta segments could be identified by comparing them with databank sequences. In contrast to the TCR-gamma locus the junctional TCR-beta -CDR3 region showed extensive diversity due to the addition of N-region nucleotides between the Vbeta -Dbeta and Dbeta -Jbeta junctions and seemed ideally suited as clone-specific identification sequence. As an independent test of the PCR results, a comparison of the junctional regions obtained for the cell lines Jurkat, MOLT4, Hut 102, and PEER revealed complete agreement with published sequences. The sizes of the sequenced CDR3 regions were in direct correlation to the length of the PCR fragments, as demonstrated by the GeneScan analysis.

Immunohistology

In all T-cell lymphoma cases, immunohistology disclosed a T-cell phenotype with the expression of CD3 by the atypical cells. Predominance of CD4+ or CD8+ subpopulations was verified in several cases, underscoring the presence of a monoclonal T-cell population. An expression of the beta -chain was detected in most cases. ALC-T cases characteristically expressed CD30. ITCL cases were characterized by the presence of atypical CD103-positive T-lymphocytes within the epithelium. T-ALL cases, in addition to T-cell antigen expression, showed an intranuclear positivity for TdT.


    Discussion
Top
Abstract
Introduction
Patients, materials, and...
Results
Discussion
References

The adjunct of PCR technology for the detection of clonally rearranged TCR genes has greatly contributed to the distinction between benign polyclonal and neoplastic monoclonal T-cell populations, and thus, to the diagnosis of T-cell lymphomas. However, in a significant proportion of malignant T-cell proliferations the tumor T-cell clone escapes detection with currently available TCR-gamma PCR methods.24-30,36 Attempts to establish a technique for detection of clonally rearranged TCR-beta genes on DNA level suitable for investigation of formalin-fixed biopsies failed so far.16-19,37,38 An interesting and promising attempt to simplify the TCR-beta PCR was the use of highly degenerated Jbeta consensus primers by Kneba and colleagues.15 This method detected only large T-cell clones,15,39 and, in our hands, produced high background and was difficult to reproduce when applied to routine formalin-fixed biopsy specimens. However, the results obtained encouraged us to develop a new TCR-beta PCR suitable for the application in the daily diagnostic work.

To overcome the shortcomings of previous TCR-beta methods, we designed family-specific Jbeta primers. These primers consist exclusively of oligonucleotides with complete homology to their target genes therefore obtain several advantages over degenerated consensus primers, as already shown for the detection of clonal immunoglobulin (Ig) rearrangements.40 As a result, application of family-specific Jbeta primers led to amplification of largely background-free TCR-beta specific PCR products. This seems especially important for detection of small clonal T-cell populations present in early CTCL or in minimal lymph node involvement, where polyclonal background signals can superimpose clonality. Moreover, combination of TCR-beta PCR with the high-resolution GeneScan technique enables a precise and reliable interpretation of the PCR data and exact monitoring between different lesions of the same patient.30,34,35

The sensitivity, specificity, and reliability of the new TCR-beta PCR assay were tested by investigating a large number of histologically and clinically proven T- and B-cell lymphomas, as well as reactive lymphoid lesions and normal lymphoid tissues. Monoclonal T-cell populations were demonstrable in all but 1 of the 62 T-cell lymphomas investigated, irrespective of the use of fresh-frozen or formalin-fixed paraffin-embedded specimens. Moreover, identical TCR-beta gene rearrangements were detectable in the corresponding blood and lymph node samples from 64% (7 of 11) and 83% (15 of 18) of the patients and multiple lymphoma samples from 13 patients, who had biopsies over a period of up to 3 years, contained all the same TCR-beta gene rearrangement.

The investigation of the same set of T-cell lymphomas with the TCR-gamma PCR technique using primers for the Vgamma subgroups I, II, and III revealed a clonal TCR-gamma gene rearrangement in only 80% of the cases (50 of 62). This is in line with most previous publications.24-30,41-45 No significant differences were observed between the type of the lymphoma, its location, or the proportion of tumor cells, with the exception of precursor T-lymphoblastic lymphomas, where all tumors displayed clonal a TCR-gamma rearrangement. These results clearly indicate that the failure to detect clonal T-cell populations in a significant proportion of cases (12 of 62; 20%) was not due to a limited sensitivity of the TCR-gamma PCR, but to a true absence of appropriate TCR-gamma rearrangements. Therefore, other possibilities are required to explain the nondetectability of clonal TCR-gamma rearrangements in these cases, such as a germ line configuration of the TCR-gamma gene, incomplete or deleterious rearrangement within the TCR-gamma locus,46 or transrearrangement between V-segments of the gamma -chain and J-segments of the delta -chain.47 However, because the vast majority of the rearranged TCR-gamma genes are not expressed, these nonfunctional rearrangements are without any consequence for the survival of the T-cells.

The specificity of the TCR-beta and TCR-gamma PCR assays was determined by investigating DNA extracted from 15 B-cell lymphomas, 11 normal lymph nodes, and 10 normal peripheral blood samples. Neither the TCR-beta nor the TCR-gamma PCR showed clonal rearrangements in any of these samples, confirming the specificity of both assays. Interestingly, application of both PCR systems to inflammatory skin lesions disclosed poly/oligoclonal gene rearrangements with clear dominance of 1 or only a few clones in some instances (pseudoclonal). However, these dominant PCR products were shown to possess different sizes in independently performed PCR assays. This pseudoclonality is explainable by the cellular composition of these lesions. T cells proliferating in the skin are not embedded in a background of many nonclonal lymphoid cells, leading to only a few or even single amplificates of various sizes after TCR-beta or TCR-gamma PCR. Especially for investigations of skin or other extranodal tissue, we recommend to perform 2 independent PCRs and to consider only those cases as clonal if complete size concordance of the dominant PCR product occurs in both assays.

In conclusion, the TCR-beta PCR technique described in this article is reliable and highly suitable for the detection of small populations of clonal T cells, not only in frozen tissues but also in formalin-fixed paraffin-embedded specimens. This underscores its value as a new and highly sensitive diagnostic tool for routine biopsy material. Further, the low background of the TCR-beta PCR products enables direct sequencing. This may be useful for generating clone-specific primers for investigation of minimal residual disease, thus allowing detection of tumor cell specific TCR-beta rearrangements in the follow-up of T-cell lymphoma/leukemia patients.


    Acknowledgments

We are particularly indebted to H. Lammert and H. Hempel for excellent technical assistance.


    Footnotes

Submitted November 9, 1999; accepted February 29, 2000.

Supported by the Deutsche Krebshilfe, Grant 70-2202-Mü3.

This work contains parts of the doctoral thesis of C.A.

Reprints: Michael Hummel, Institute of Pathology, University Medical Centre Benjamin Franklin, The Free University of Berlin, Hindenburgdamm 30, 12200 Berlin, Germany; e-mail: hummel{at}ukbf.fu-berlin.de.

The publication costs of this article were defrayed in part by page charge payment. Therefore, and solely to indicate this fact, this article is hereby marked "advertisement" in accordance with 18 U.S.C. section 1734.


    References
Top
Abstract
Introduction
Patients, materials, and...
Results
Discussion
References

1. Weiss LM, Hu E, Wood GS, et al. Clonal rearrangements of T-cell receptor genes in mycosis fungoides and dermatopathic lymphadenopathy. N Engl J Med. 1985;313:539[Abstract].

2. Griesser H, Feller A, Lennert K, et al. The structure of the T-cell gamma chain gene in lymphoproliferative disorders and lymphoma cell lines. Blood. 1986;68:592[Abstract/Free Full Text].

3. Griesser H, Feller A, Lennert K, Minden M, Mak TW. Rearrangement of the beta chain of the T-cell antigen receptor and immunoglobulin genes in lymphoproliferative disorders. J Clin Invest. 1986;78:1179.

4. Weiss LM, Wood GS, Hu E, Abel EA, Hoppe RT, Sklar J. Detection of clonal T-cell receptor gene rearrangements in the peripheral blood of patients with mycosis fungoides/sezary syndrome. J Invest Dermatol. 1989;92:601[Medline] [Order article via Infotrieve].

5. Weiss LM, Picker LJ, Grogan TM, Warnke RA, Sklar J. Absence of clonal beta and gamma T-cell receptor gene rearrangements in a subset of peripheral T-cell lymphomas. Am J Pathol. 1988;130:436[Abstract].

6. O'Connor N, Crick JA, Wainscoat JS, et al. Evidence for monoclonal T lymphocyte proliferation in angioimmunoblastic lymphadenopathy. J Clin Pathol. 1986;39:1229[Abstract/Free Full Text].

7. O'Connor N, Wainscoat JS, Weatherall DJ, et al. Rearrangement of the T-cell receptor beta-chain gene in the diagnosis of lymphoproliferative disorders. Lancet. 1985;1:1295[Medline] [Order article via Infotrieve].

8. Sims JE, Tunnacliffe A, Smith WJ, Rabbitts TH. Complexity of human T-cell antigen receptor beta-chain constant- and variable-region genes. Nature. 1984;312:541[Medline] [Order article via Infotrieve].

9. Kimura N, Toyonaga B, Yoshikai Y, et al. Sequences and diversity of human T-cell receptor beta chain variable-region genes. J Exp Med. 1986;164:739[Abstract/Free Full Text].

10. Tillinghast JP, Behlke MA, Loh DY. Structure and diversity of the human T-cell receptor beta-chain variable region genes. Science. 1986;233:879[Abstract/Free Full Text].

11. Rowen L, Koop BF, Hood L. The complete 685-kilobase DNA sequence of the human beta T-cell receptor locus. Science. 1996;272:1755[Abstract].

12. Toyonaga B, Yoshikai Y, Vadasz V, Chin B, Mak TW. Organisation and sequences of the diversity, joining, and constant region genes of the human T-cell receptor beta chain. Proc Natl Acad Sci U S A. 1985;82:862.

13. Tunnacliffe A, Rabbitts TH. Sequence of the D beta 2-J beta 2 region of the human T-cell receptor beta-chain locus. Nucleic Acid Res. 1985;13:6651[Abstract/Free Full Text].

14. McCarthy KP, Sloane JP, Kabarowski JH, Matutes E, Wiedemann LM. The rapid detection of clonal T-cell proliferations in patients with lymphoid disorders. Am J Pathol. 1991;138:821[Abstract].

15. Kneba M, Bolz I, Linke B, Hiddemann W. Analysis of rearranged T-cell receptor beta -chain genes by polymerase chain reaction (PCR), DNA sequencing and automated high resolution PCR fragment analysis. Blood. 1995;86:3930[Abstract/Free Full Text].

16. Slack DN, McCarthy KP, Wiedemann LM, Sloane JP. Evaluation of sensitivity, specificity, and reproducibility of an optimized method for detecting clonal rearrangements of immunoglobulin and T-cell receptor genes in formalin-fixed, paraffin-embedded sections. Diagn Mol Pathol. 1993;2:223[Medline] [Order article via Infotrieve].

17. Diss TC, Watts M, Pan LX, Burke M, Linch D, Isaacson PG. The polymerase chain reaction in the demonstration of monoclonality in T-cell lymphomas. J Clin Pathol. 1995;48:1045[Abstract/Free Full Text].

18. Obata F, Tsunoda M, Ito K, et al. A single universal primer for the T-cell receptor (TCR) variable genes enables enzymatic amplification and direct sequencing of TCRbeta cDNA of various T-cell clones. Hum Immunol. 1993;36:163[Medline] [Order article via Infotrieve].

19. Kono DH, Baccala R, Balderas RS, et al. Application of a multiprobe RNase protection assay and junctional sequences to define Vbeta gene diversity in Sezary syndrome. Am J Pathol. 1992;140:823[Abstract].

20. Hayday AC, Saito H, Gillies SD, et al. Structure, organization, and somatic rearrangement of T-cell gamma genes. Cell. 1985;40:259[Medline] [Order article via Infotrieve].

21. Kranz DM, Saito H, Heller M, et al. Limited diversity of the rearranged T-cell gamma gene. Nature. 1985;313:752[Medline] [Order article via Infotrieve].

22. Bourguin A, Tung R, Galili N, Sklar J. Rapid, nonradioactive detection of clonal T-cell receptor gene rearrangements in lymphoid neoplasms. Proc Natl Acad Sci U S A. 1990;87:8536[Abstract/Free Full Text].

23. Trainor K, Brisco M, Wan J, Neoh S, Grist S, Morley A. Gene rearrangement in B- and T-lymphoproliferative disease detected by polymerase chain reaction. Blood. 1991;78:192[Abstract/Free Full Text].

24. Bottaro M, Berti E, Biondi A, Migone N, Crosti L. Heteroduplex analysis of T-cell receptor gamma gene rearrangements for diagnosis and monitoring of cutaneous T-cell lymphomas. Blood. 1994;83:3271[Abstract/Free Full Text].

25. Wood GS, Tung RM, Haeffner AC, et al. Detection of clonal T-cell receptor gamma gene rearrangements in early mycosis fungoides/sezary syndrome by polymerase chain reaction and denaturing gradient gel electrophoresis (PCR/DGGE). J Invest Dermatol. 1994;103:34[Medline] [Order article via Infotrieve].

26. Kneba M, Bolz I, Linke B, Bertram J, Rothaupt D, Hiddemann W. Characterization of clone-specific rearrangement T-cell receptor gamma-chain genes in lymphomas and leukemias by the polymerase chain reaction and DNA sequencing. Blood. 1994;84:574[Abstract/Free Full Text].

27. Theodorou I, Delfau Larue MH, Bigorgne C, et al. Cutaneous T-cell infiltrates: analysis of T-cell receptor gamma gene rearrangement by polymerase chain reaction and denaturing gradient gel electrophoresis. Blood. 1995;86:305[Abstract/Free Full Text].

28. Greiner TC, Raffeld M, Lutz C, Dick F, Jaffe ES. Analysis of T-cell receptor-gamma gene rearrangements by denaturing gradient gel electrophoresis of GC-clamped polymerase chain reaction products: correlation with tumor-specific sequences. Am J Pathol. 1995;146:46[Abstract].

29. Ashton-Key M, Diss T, Du M, Kirkham N, Wotherspoon A, Isaacson P. The value of the polymerase chain reaction in the diagnosis of cutaneous T-cell infiltrates. Am J Surg Pathol. 1997;21:743[Medline] [Order article via Infotrieve].

30. Dippel E, Assaf C, Hummel M, et al. Clonal T-cell receptor gamma -chain gene rearrangement by PCR-based GeneScan analysis in advanced cutaneous T-cell lymphoma: a critical evaluation. J Pathol. 1999;188:146[Medline] [Order article via Infotrieve].

31. Lessin SR, Rook AH, Rovera G. Molecular diagnosis of cutaneous T-cell lymphoma: polymerase chain reaction amplification of T-cell antigen receptor beta-chain gene rearrangements. J Invest Dermatol. 1991;96:299[Medline] [Order article via Infotrieve].

32. Harris NL, Jaffe ES, Stein H, et al. A revised European-American classification of lymphoid neoplasms: a proposal from the international lymphoma study group. Blood. 1994;84:1361[Free Full Text].

33. Cordell JL, Falini B, Erber WN, et al. Immunoenzymatic labelling of monoclonal antibodies using immune complexes of alkaline phosphatase and monoclonal anti-alkaline phosphatase (APAAP complexes). J Histochem Cytochem. 1984;32:219