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From the Department of Pediatrics Hematology/Oncology,
*
New York Medical College, Valhalla, New York; the Department of Pediatrics Hematology/Oncology,
University of Wisconsin, Madison, Wisconsin; and the Experimental Transplantation and Immunology Branch,
Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
| Abstract |
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| Introduction |
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Real-time polymerase chain reaction (PCR) analysis of CSF (with clone-specific primers derived from the same patients bone marrow at diagnosis) may be sensitive enough to detect or confirm low levels of CNS leukemic involvement. Real-time PCR could also permit a rapid throughput of large numbers of specimens in a highly standardized format. To implement real-time PCR analysis of genomic DNA from CSF samples in multi-institutional studies, an examination of the factors affecting DNA stability in CSF is necessary. Minimizing the extent of DNA degradation would allow the use a single core molecular diagnostics facility to which CSF specimens are shipped. Our goals were to study the relative merits of various methods of preserving CSF for PCR, to develop a real-time PCR assay for quantifying CNS leukemia, and to evaluate the feasibility of detecting CNS leukemia in pediatric ALL patients in a multi-institutional study.
| Patients and Methods |
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Stability of CSF Genomic DNA and CSF Storage Optimization
Sixty CSF samples were each divided into four equal aliquots of 0.5 ml. For the first group of 20 samples, aliquot 1 was processed within 1 hour for a baseline control, aliquot 2 was incubated for 2 days before processing, and aliquots 3 and 4 were shipped to the University of Wisconsin overnight, shipped back to New York Medical College overnight, then processed 2 days (aliquot 3) or 7 days (aliquot 4) after procurement. The remaining 40 specimens were allocated the same except that aliquots 2 to 4 were stored in 25% ethanol for specimens 21 to 40, and in an equal volume of serum-free RPMI tissue culture medium for specimens 41 to 60. All incubations and shipping conditions were at room temperature.
CSF DNA Extraction
CSF samples were centrifuged for 10 minutes at 10,000 x g and cell pellets were washed once in 1 ml of 25% ethanol. We optimized the DNA extraction method using several protocols until one method (described here) provided suitable yield for PCR analysis. CSF cell pellets were air-dried and lysed in 15 µl of cell lysis buffer containing 1x PCR buffer II without MgCl2 (Perkin Elmer-Cetus, Foster City, CA), 0.1% Igepal (Sigma-Aldrich Co., St Louis, MO), 0.1% Tween 20 (Sigma-Aldrich Co.), and 17 ng/µl of proteinase K (Fisher Scientific, Springfield, NJ). The lysates were incubated for 1 hour at 56°C, and denatured for 10 minutes at 95°C. The final volumes were adjusted to 30 µl with nuclease-free water, and DNA was stored at 20°C until used. Because of low volume and DNA content, DNA quantitation by spectrophotometry was only performed when possible. DNA amount and quality were normalized by amplification of the human ß-globin gene by real-time PCR as described below.
Quantitative Amplification of CSF DNA by Real-Time PCR
The number of amplifiable genome targets was assessed by real-time PCR amplification of the human ß-globin gene using the LightCycler (Roche Diagnostics, Indianapolis, IN), run software version 5.32 as described in detail.10
The standard curve comprised of human genomic DNA (Roche Diagnostics) with 500, 200, 50, and 10 starting templates/reaction, which were each tested in duplicates. All patient CSF DNA samples (4 µl each) were tested in triplicates. Each DNA sample set (aliquots 1 to 4) was amplified by real-time PCR simultaneously to avoid interassay error. Water replaced DNA in the negative control. Standard and melting curve analyses and results from amplification of the CSF samples were generated at the end of the reaction using the LightCycler data analysis software version 3.5.28 (Roche Diagnostics).
Sequencing Leukemia Clone-Specific Antigen Receptor Gene Rearrangements
Peripheral blood or bone marrow aspirates were drawn at the time of diagnosis, and mononuclear cells were isolated using Histopaque 1077 (Sigma-Aldrich Co.). DNA was extracted from samples that were drawn in heparin using the High Pure kit (Roche Diagnostics), and from samples that were collected in ethylenediaminetetraacetic acid using a standard phenol/chloroform method. Clonal IgH, TCR
, and TCR
gene rearrangements were amplified by PCR and up to two stable monoclonal PCR targets were sequenced as previously described.11, 12
Clone-specific primers were designed using Oligo Primer Analysis software version 4.0 (National Biosciences, Plymouth, MN) following stringent guidelines explained in detail.11
Detection of CNS Leukemia in ALL Patients by Real-Time PCR
Sixty CSF DNA samples (at diagnosis and the end of induction) from 30 ALL patients enrolled on COG-1991 were analyzed for CNS leukemia by real-time PCR using the LightCycler (Roche Diagnostics). Use of SYBRGreen dye master mix (Sigma Aldrich Co.) obviated the need for designing and optimizing patient-specific fluoresceinated primers and probes and enabled utilization of the same patient-specific primers used for detection of residual leukemia in remission bone marrow samples. Procedures for quantification of copy number and evaluation of intra- and interassay precision and reproducibility have been previously reported.10
Standard curves comprised of leukemia DNA diluted to 1000 (5%), 500 (2.5%), and 50 (0.25%) DNA targets per reaction, tested in duplicates, and 5 (0.025%) and 1 (0.01%) DNA targets per reaction, tested in triplicates. The diluant was human genomic DNA from nonleukemia cell lines so that each reaction contained 20,000 total genomic copies (based on the conversion of 1 µg DNA = 130,000 human genomic DNA). The blast percentage in the samples from which the leukemia DNA was derived was normalized to 100% before the DNA dilutions. Patient CSF DNA samples (4 µl each) were tested in triplicates. Negative controls were DNA from pooled normal bone marrow from 20 children who were PCR-negative for residual leukemia and water. Percentage of positive blasts in the CSF was calculated by an automated comparison of the average real-time PCR result to the standard curve, divided by the normalized ß-globin value for that CSF sample. The sensitivity limit was 1 x 104. The entire assay required less than 1 hour of bench time for each patient.
Cytology
Patient CSF samples were classified into either CNS-1, -2, or -3, or traumatic lumbar puncture (TLP) with or without blasts according to criteria set forth by the Childrens Oncology Group. Specifically, CNS-1 was defined as fewer than 5 white blood cells (WBCs)/µl and fewer than 10 red blood cells (RBCs)/µl with no blasts detected on the cytospin. CNS-2 was defined as fewer than 5 WBCs/µl and fewer than 10 RBCs/µl, with blasts detected on the cytospin. A sample was classified as CNS-3 if any one of the following criteria was met: 5 or more WBCs/µl and fewer than 10 RBCs/µl with blasts present on the cytospin; or clinical signs of CNS disease were present, such as cranial nerve palsy, hypothalamic syndrome, spinal cord compression, or coma. A TLP was defined as the presence of 10 or more RBCs/µl in the CSF.
Data Analysis
To compare the real-time PCR results of samples at each incubation time to the samples processed immediately, the paired two-tailed Students t-test was used (Excel, Microsoft, Redwood, WA).
| Results |
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Representative data from two CSF sample sets are shown in Figure 1
. Real-time PCR analysis on a sample set of CSF samples stored in 1:1 RPMI showed similar amplification efficiency of the ß-globin gene up to 7 days of storage with shipping, compared to the CSF aliquot that was processed immediately. Storage of CSF without preservatives for 7 days with shipping resulted in a decrease to 25 ß-globin copies compared to 100 ß-globin copies from the aliquot processed immediately (Figure 1A)
. PCR analysis on a representative CSF sample set stored in 25% ethanol resulted in progressively decreased numbers of starting ß-globin DNA targets from 630 (processed immediately and stored 2 days) to 490 (2 days and shipping), and to 285 (7 days and shipping), as shown in Figure 1B
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, and 5 TCR
, were sequenced from material obtained at initial diagnosis from 30 ALL patients. A single clonal rearrangement was sequenced in 15 patients, and two rearrangements were sequenced in the remaining 15 patients. Table
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2-D
3 clone-specific primers. There was not enough DNA from this patient to quantify further. Patient 12 was positive at levels of 12% and 15% leukemic cells in the CSF, using primers specific to clonal TCR V
2-D
2 and TCR D
2-D
3, respectively. Patient 15 was positive for CNS leukemia at levels of 46% and 47% using TCR V
2-D
3 and IgH-specific primers, respectively. Patient 28 was positive for leukemia in the CSF at levels of 3.4% and 4.4% using primers specific to IgH and TCR V
2-D
3 rearrangements, respectively. The remaining 11 patients for whom two clonal rearrangements were tested by real-time PCR were negative for both PCR targets.
Specificity of Real-Time PCR Detection of CNS Leukemia
High-resolution melting curve analysis of all positive clone-specific PCR products displayed distinct profiles of the antigen receptor gene rearrangement fragments. The melting peak patterns from all six positive CSF samples (10 clonal PCR targets) were the same as the leukemic DNA, supporting the positive identity of leukemia cells in the CSF. Analysis of the water and pooled normal bone marrow DNA PCR products revealed no peaks, confirming the specificity of the reactions. Direct automated sequence analysis of the positive clone-specific PCR products was performed to confirm the identity of the leukemic clonal gene rearrangement sequence, except for patient 1, whose PCR products were not saved, and patient 15 IgH, in which the PCR product size was too small (51 bp). The PCR products from the remaining patients (seven clonal PCR targets) had the same unique DNA sequence as the leukemic clone.
| Discussion |
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Quantitative detection of residual leukemia in the bone marrow by real-time PCR has been demonstrated in previous studies.10, 13 Our present study, however, is the first to show that real-time PCR can be used to detect low levels of leukemic DNA in the CSF. Although a larger prospective study combined with patient follow-up will be necessary to determine the predictive value of outcome, this study demonstrates the ability of real-time PCR analysis to precisely detect occult CNS leukemia DNA. All 15 patients who had two characterized PCR targets in the diagnostic marrow showed concordance between both PCR targets from the CSF. Specificity of the reaction was excellent in this group of patients evidenced by the positive identity of patient-specific PCR products after sequencing. If a high standard of quality control is used, including confirmation that the negative controls do not amplify and the melting peak patterns of the positive sample matches the positive controls, then real-time PCR may have suitable clinical applications.
Real-time PCR improves our ability to detect occult CNS leukemia. In this study, 3 of the 23 CNS-1 patients at diagnosis were positive by PCR. This is not surprising given the higher sensitivity of real-time PCR (1 x 104). Because the majority of isolated CNS relapses occur in patients who have no clinical or cytomorphological evidence of CNS disease at diagnosis,4 the PCR-positive CNS-1 subgroup of patients may represent those at a higher risk of relapsing in the CNS. However, a plausible explanation for the discrepancy of results between PCR and cytomorphology could be related to the ordering of the vials used for both tests. In this study, the ordering of CSF tubes sent for PCR analysis was not specified. If the first-drawn CSF vial was used for PCR, peripheral blood (with blasts) contamination from slight trauma could be higher than in subsequent vials allocated for cytology and cytospin. Standardization of vial allocation for PCR studies may be necessary for clinically useful results.
PCR analysis may be used to clarify the diagnosis when the findings by cytomorphology are equivocal. Flow cytometry and TdT staining, although useful in some cases, are difficult to rely on when the cells are few. The frequency with which conventional CSF analysis yields erroneous results is not known. In this study, only one of four of the CNS-2 patients at diagnosis was PCR-positive. All three PCR-negative samples had 1 or 0 WBC/µl in the CSF. Poor sensitivity of the assay is an unlikely explanation because in all three cases the sensitivity of the assay was higher than the reported blast percentage in the CSF (Table 1)
. However, it is possible that poor yield during sample processing and DNA extraction, the presence of PCR inhibitors or other technical problems could have caused false-negative PCR results. A possibility that the blasts identified by morphology were normal immature lymphocytes cannot be ruled out. The discordance between PCR detection of blasts and cytomorphology may partially explain conflicting reports in the literature4, 5, 6
regarding the clinical significance of blasts in CSF with fewer than 5 WBCs/µl.
PCR-based analysis of CSF may help refine the detection of blasts introduced into the CSF during a TLP. Two patients in this study experienced a TLP at the start of therapy. Although both samples were reported as TLP without blasts by cytology, one was positive for CNS leukemia by PCR. We are currently analyzing a larger cohort of patients and following them during and after therapy to determine whether CNS-2 and TLP status refined by real-time PCR analysis can be a better predictor of outcome than cytomorphology alone.
We conclude that preserving CSF in RPMI maintains DNA stability up to 7 days. In addition, real-time PCR analysis of CSF is a quick and reliable tool to assess CNS involvement in patients with ALL, and could possibly be used to detect CNS involvement in other malignancies. A larger study is in progress to determine the frequency of CNS leukemia at diagnosis and during therapy by PCR, as well as to determine whether PCR analysis can refine CNS classification and aid in outcome prediction.
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| Footnotes |
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Supported by the Childrens Cancer Fund (grant to S.P.).
Work was performed at the Department of Pediatrics Hematology/Oncology, New York Medical College, Valhalla, NY.
Accepted for publication August 18, 2004.
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