Unusual immunophenotypic shift in a patient with T-cell acute lymphoblastic leukemia.
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Publications and source records attributed to V H J van der Velden.
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BACKGROUND: The abundance of monoclonal antibodies (mAb) and the routine use of quadruple stainings in flow cytometry allow stepwise analysis of bone marrow (BM) samples that are suspected for abnormal hematopoiesis. A screening phase that precedes lineage-specific classification phases should be sufficient to assess whether the BM has a normal or abnormal composition, as well as to identify the abnormal differentiation lineage. METHODS: For a quick and easy flow cytometric screening of BM samples, we selected six quadruple immunostainings that cover multiple differentiation stages of the B-cell, monocytic, granulocytic, and erythroid lineages: TdT/CD20/CD19/CD10 and CD45/CD34/CD19/CD22 for B cells, CD34/CD117/CD45/CD13.33 for precursor granulocytic and precursor monocytic cells (myelo/monoblasts), CD14/CD33/CD45/CD34 for monocytic cells, CD16/CD13/CD45/CD11b for granulocytic cells, and CD71/CD235a/CD45/CD117 for erythroid cells. RESULTS: The six quadruple immunostainings reveal specific staining patterns in normal BM, which allow the recognition of various subpopulations of the respective lineages. These staining patterns can be used as a frame of reference for recognition of normal and abnormal BM development. Examples of normal (age-related) variations in these otherwise stable staining patterns are presented together with several abnormal differentiation patterns. CONCLUSIONS: Although alternative immunostainings can be used (e.g., including NK- and T-cell markers), we feel that the selected six stainings represent a comprehensive and easy screening phase for quick identification of shifts in the composition of the studied differentiation lineages, reflecting age-related changes or disease-induced BM abnormalities.
The t(12;21) translocation resulting in the TEL-AML1 gene fusion is found in 25% of childhood B-cell precursor (BCP) acute lymphoblastic leukemias (ALL). Since TEL-AML1 has been reported to induce cell cycle retardation and thus may influence somatic recombination, we analyzed 214 TEL-AML1-positive ALL by PCR for rearrangements of the immunoglobulin (Ig) and T-cell receptor (TCR) genes. As a control group, 174 childhood BCP ALL without a TEL-AML1 were used. The majority of TEL-AML1-positive leukemias had a higher number of Ig/TCR rearrangements than control ALL. They also had a more mature immunogenotype characterized by their high frequency of complete IGH, IGK-Kde, and TCRG rearrangements. While IGK-Kde and TCRG were more frequently rearranged on both alleles at higher age, IGH and TCRD rearrangements decreased in their incidence along with a decrease in biallelic IGH rearrangements. This suggests that the recombination process continues in these leukemias leading to ongoing rearrangements and possibly also deletions of antigen receptor genes. We here provide first evidence that somatic recombination of antigen receptor genes is affected by the TEL-AML1 fusion, and that further age-related differences are probably caused by the longer latency period of the prenatally initiated TEL-AML1-positive leukemias in older children.
Multicenter phase II trials with Gemtuzumab Ozogamicin (GO/Mylotarg), consisting of a CD33 antibody linked to the cytotoxic drug calicheamicin, have shown a 30% overall response rate in relapsed acute myeloid leukemia patients. However, no clear correlation was observed between CD33 expression on leukemic blasts and response to GO therapy. We analyzed the CD33 specificity of GO-induced cell death and the effect of GO on CD33-negative malignancies. We demonstrate that lysis induced by clinically relevant GO concentrations is partially CD33 mediated, and that efficient non-CD33-mediated GO uptake can occur via endocytosis. In agreement with these results, we observed GO-mediated death of human CD33-negative acute lymphoblastic leukemia cells both in vitro and in vivo in an NOD/SCID mouse model. Finally, sensitivity to GO-induced cell death was at least partially determined by the activation status of leukemic cells, with cells in activated phases of the cell cycle being most effective in both CD33-specific GO internalization, renewed expression of CD33 molecules, and non-CD33-mediated GO uptake via endocytosis. In conclusion, these data provide mechanistic insight into the efficacy of GO in CD33-positive as well as in CD33-negative malignancies with endocytic capacity, and provide a rationale for the use of GO in the treatment of malignancies with endocytic capacity.
Current MRD studies in T-cell acute lymphoblastic leukemia (T-ALL) mainly use T-cell receptor gamma, delta and SIL-TAL1 gene rearrangements as MRD-PCR targets. However, low frequency or limited diversity of these markers restricts the number of evaluable patients, particularly because two markers are recommended for MRD monitoring. Hence, we developed a new strategy implementing the TCR beta (TCRB) locus for MRD quantification. The frequency and characteristics of complete and incomplete TCRB rearrangements were investigated in 53 childhood and 100 adult T-ALL patients using the BIOMED-2 multiplex PCR assay. Clonal rearrangements were identified in 92% both childhood and adult T-ALL (Vbeta-Dbeta-Jbeta rearrangements in 80%, Dbeta-Jbeta rearrangements in 53%). Comparative sequence analysis of 203 TCRB recombinations revealed preferential usage of the 'end-stage' segment Jbeta2.7 in childhood T-ALL (27%), whereas Jbeta2.3 was most frequently involved in adult T-ALL (24%). In complete rearrangements, three downstream Vbeta segments (19-1/20-1/21-1) were preferentially used. Subsequently, a TCRB real-time quantitative PCR assay to quantify MRD with 13 germline Jbeta primer/probe combinations and allele-specific oligonucleotides was developed and applied to 60 clonal TCRB rearrangements. The assay allowed the detection of one leukemic cell within at least 10(4) polyclonal cells in 93% of cases and will be of high value for future MRD studies.
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Gemtuzumab ozogamicin (Mylotarg) induces remission in approximately 30% of relapsed AML patients. We previously demonstrated that gemtuzumab infusion results in near-complete CD33 saturation in peripheral blood, and that saturating gemtuzumab levels result in continuous binding and internalization of gemtuzumab due to renewed CD33 expression. We now demonstrate that a high CD33-antigen load in peripheral blood is an independent adverse prognostic factor, likely due to peripheral consumption of gemtuzumab. Indeed, CD33 saturation in bone marrow is significantly reduced (40-90% saturation) as compared with CD33 saturation in corresponding peripheral blood samples (>90%). In vitro, such reduced CD33 saturation levels were strongly related with reduced cell kill. Apparently, high CD33-antigen loads in blood consume gemtuzumab and thereby limit its penetration into bone marrow. Consequently, CD33 saturation in bone marrow is reduced, which hampers efficient cell kill. Therefore, gemtuzumab should be administered at higher or repeated doses, or, preferably, after reduction of the leukemic cell burden by classical chemotherapy.
Detection of minimal residual disease (MRD) in follow-up samples from patients with ALL is essential for evaluation of treatment response. We applied multicolor flow cytometry and real-time quantitative PCR (RQ-PCR) to compare MRD results in 71 follow-up samples from 22 children treated for ALL. When results obtained by flow cytometry and RQ-PCR were grouped into positive-negative categories, a significant level of agreement was found in 72% of samples (P<0.001). However, if a cutoff level of 0.01% was applied, the concordance was 89%. MRD could be quantified in 19 samples by both methods, showing a strong correlation (P<0.01). Nevertheless, MRD levels differed more than five-fold between both methods in 4/19 samples. In 20 (28%) samples, the two techniques showed discordant results. Most discordant results (17/20) were due to the limited sensitivity of flow cytometry analysis within the range 0.01-0.001%; remaining discordant results were due to the instable or subclonal IG/TCR gene rearrangements or a limited quantitative range of the applied RQ-PCR targets. Although concordant results could be obtained by flow cytometry and RQ-PCR analysis, MRD levels may differ. Therefore, MRD data obtained by these two techniques are not yet easily exchangeable.
Using the multiplex PCR tubes of the BIOMED-2 Concerted Action, TCRB gene rearrangements were detected in 35% of childhood (n=161) and adult (n=172) precursor-B-ALL patients (Vbeta-(Dbeta)-Jbeta in 25%; Dbeta-Jbeta in 15%). The presence of TCRB rearrangements showed a significant relation with age (highest frequency of 46% between 5 and 10 years of age) and the presence of TEL-AML1 transcripts, and was associated with relatively high frequencies of IGK-Kde, TCRG, and Vdelta2-Jalpha rearrangements. In 62 out of 65 patients with Southern blot-detected Vbeta-(Dbeta)-Jbeta and/or Dbeta-Jbeta rearrangements, at least one TCRB gene rearrangement was detected by PCR. Based on combined Southern blot and PCR analysis, oligoclonal TCRB gene rearrangements were observed in only 12% of patients. Analysis of paired diagnosis and relapse samples (n=26) showed that 20 out of 24 (83%) Vbeta-(Dbeta)-Jbeta rearrangements and eight out of 14 (57%) Dbeta-Jbeta rearrangements remained stable. Using real-time quantitative PCR, a quantitative range < or =10(-4) was obtained in 64% of TCRB gene rearrangements and in 86% of cases a sensitivity < or =10(-4) was obtained. In conclusion, TCRB gene rearrangements occur in 35% of precursor-B-ALL patients and are relatively stable and sensitive PCR targets for detection of minimal residual disease, particularly if this concerns complete Vbeta-(Dbeta)-Jbeta rearrangements.
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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.
Microarrays for gene expression profiling are rapidly becoming important research tools for the identification of novel markers, for example, for novel classification of leukemias and lymphomas. Here, we review the considerations and infrastructure for microarray experiments. These considerations are illustrated via a microarray-based comparison of gene expression profiles of paired diagnosis-relapse samples from patients with precursor-B acute lymphoblastic leukemia (ALL), who relapsed during therapy or after completion of treatment. Initial experiments showed that several seemingly differentially expressed genes were actually derived from contaminating non-leukemic cells, particularly myeloid cells and T-lymphocytes. Therefore, we purified the ALL cells of the diagnosis and relapse samples if their frequency was lower than 95%. Furthermore, we observed in earlier studies that extra RNA amplification leads to skewing of particular gene transcripts. Sufficient (non-amplified) RNA of purified and paired diagnosis-relapse samples was obtained from only seven cases. The gene expression profiles were evaluated with Affymetrix U95A chips containing 12 600 human genes. These diagnosis-relapse comparisons revealed only a small number of genes (n=6) that differed significantly in expression: mostly signaling molecules and transcription factors involved in cell proliferation and cell survival were highly upregulated at relapse, but we did not observe any increase in drug-resistance markers. This finding fits with the observation that tumors with a high proliferation index have a poor prognosis. The genes that changed between diagnosis and relapse are currently not in use as diagnostic or disease progression markers, but represent potential new markers for such applications. Leukemia (2003) 17, 1324-1332. doi:10.1038/sj.leu.2402974