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Molecular Oncology, Markers, Clinical Correlates |
Departments of Leukemia [G. G-M., J. D., J. W., H. M. K., J-P. J. I.] and Hematopathology [C. B-R.], University of Texas M. D. Anderson Cancer Center, Houston, Texas 77030
| ABSTRACT |
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Experimental Design: Genes studied included the estrogen receptor (ER), multidrug resistance gene 1 (MDR1), p73, p15, and p16. DNA was extracted from paraffin-embedded bone marrow biopsies. DNA methylation was analyzed using PCR of bisulfite-modified DNA.
Results: Results indicate that methylation at the time of relapse was stable in 92% of patients for p73, 88% for ER, 80% for p16, 72% for MDR1, and 60% for p15. Only one case had p16 methylation at initial presentation, whereas 6 patients (P = 0.0001) had methylation at relapse. Three cases had concomitant methylation of p15 and p16 at relapse. The degree of MDR1 methylation inversely correlated with the presence of MDR1 expression as detected by immunohistochemistry. Eighteen patients (72%) had acquired no or one methylation change, whereas the rest (28%) had methylation changes in two or three genes. No clinical-biological correlations were found between methylation of any particular gene or pattern.
Conclusions: In summary, DNA methylation patterns are stable in a majority of patients with relapsed ALL, but a subset of patients acquire new methylation changes, in particular affecting cell cycle regulatory genes.
| INTRODUCTION |
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Methylation of several genes has been associated with poor prognosis in patients with acute leukemia. Hypermethylation of the calcitonin gene has been associated with poor prognosis and disease progression in ALL3 (8, 9, 10) . This phenomenon has also been observed for HIC1 (11) and WT-1 (12) in AML. In contrast, hypermethylation of ER has been associated with a better prognosis in AML (13) , although abnormal methylation of this gene is also found at the time of relapse (14) . In bladder cancer, hypomethylation of the MDR1 gene has been associated with protein reexpression and a chemoresistant phenotype at relapse (15) . p15 and p16, two cell cycle regulatory genes, are considered tumor suppressor genes. Diverse abnormalities of these two genes, including p15 methylation, have been shown to be acquired at the time of relapse in pediatric ALL (16) . Methylation of p15 has been shown to confer poor prognosis and to predict the risk of relapse in patients with acute leukemias (17 , 18) . Methylation of p16, a rare event in human leukemias (6 , 19) , has been associated with disease progression in adult T-cell leukemia (20) . Other lymphoid neoplasms, such as non-Hodgkins lymphomas, also are characterized by abnormal methylation of these two genes, a phenomenon also associated with relapse (21) . These findings suggest that aberrant methylation may have a role in leukemic relapse. Knowledge of the dynamics of methylation patterns at the time of relapse may have important implications, including the understanding of cellular clonal changes during disease progression, the development of assays to detect MRD, and the development of targeted therapies using hypomethylating agents for high-risk patients.
We have previously studied the methylation status of ER, MDR1, p73, p15, p16, THBS1, THBS2, CD10, c-abl, and Myod in 80 patients with ALL (6) . We have selected five of them, ER, MDR1, p73, p15, and p16, to study the methylation patterns both at the time of initial presentation and at relapse in 25 patients with relapsed ALL who had achieved complete remission after initial induction chemotherapy. Our results indicate that the methylation patterns of patients with relapsed ALL are stable in a majority of patients, but that a subgroup of patients acquire new methylation changes, in particular of genes involved in cell cycle regulation.
| MATERIALS AND METHODS |
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Bisulfite Modification of DNA.
Methods for bisulfite modification of DNA and subsequent PCR techniques used in this study are described in detail.4
Bisulfite induces deamination of unmethylated cytosines, converting unmethylated CpG sites to UpG without modifying methylated sites. This allows their differentiation by allele specific PCR (MSP), restriction digestion (COBRA) or sequencing. Bisulfite treatment of genomic DNA was performed as described (23)
. DNA was extracted using standard phenol-chloroform methods after samples had been deparaffinized using xylene and ethanol followed by digestion with proteinase K. After extraction, 2 µg of DNA were used for bisulfite treatment. DNA was denatured in 0.2 N NaOH at 37°C for 10 min and incubated with 3 M sodium bisulfite at 50°C for 16 h. DNA was then purified using the Wizard cleanup system (Promega) and desulfonated with 0.3 N NaOH at 25°C for 5 min. DNA was then precipitated with ammonium acetate and ethanol, washed with 70% ethanol, dried, and resuspended in H2O.
Primer Design.
Primer sequences, coordinates, GenBank accession numbers, number of expected restriction fragments, and PCR conditions are shown in Table 1
. For p73 and p16, we used MSP as described elsewhere (19
, 24)
. For p15, MDR1, and ER, we used COBRA (25)
. To minimize overestimation of methylated alleles when using this method, the following points were followed: (a) primers were designed to contain a minimum number of CpG dinucleotides in their sequence to avoid biased amplification of methylated alleles. If primers contained CpG sites, they were designed to amplify methylated and unmethylated equally (with a mixture of C or T used for the sense strand or G or A for antisense primers); (b) primers were designed to contain a maximum number of thymidines converted from cytosines to avoid amplification of the nonconverted genomic sequence; (c) amplification of genomic DNA not treated with bisulfite was always carried out to monitor lack of nonspecific amplification; (d) primers were designed to be within 300 bp of known transcription start sites; and (e) for each set of primers, we tested: (i) multiple restriction enzymes to confirm the methylation status and sequence of the fragment analyzed; and (ii) performed mixing experiments (using methylated and unmethylated templates mixed at a known ratios) to exclude any potential amplification bias.
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Immunocytochemistry.
Immunohistochemical staining for MDR was performed on formalin-fixed, paraffin-embedded tissue sections of bone marrow biopsy or aspiration clot sections, an avidin-biotin-peroxidase complex method, and an automated immunostainer (Dako, Carpinteria, CA). All tissue sections underwent heat-induced epitope retrieval using citrate buffer (pH 6.0). After rinsing in PBS, an anti-MDR1 antibody (1:25 dilution of C-19 goat polyclonal IgG; Santa Cruz Biotechnology, Santa Cruz, CA) was applied as primary antibody for 1 h at room temperature. The detection system used was LSAB2 detection kit (Dako). Negative and positive controls were also run.
Statistical Analyses.
Criteria for stable, increased, or decreased methylation were defined based on the technique used. For MSP (used for p73 and p16), stable methylation was considered if the samples at original presentation and relapse were either methylated or unmethylated at both endpoints, increased methylation if the bone marrow at presentation showed no methylation but there was evidence of methylation at relapse, and decreased methylation if only the initial presentation sample showed evidence of methylation. For COBRA (used in ER, p15, and MDR1), methylation was stable if the samples had a density of methylation of 02% at both endpoints or more than that at both endpoints, increased methylation if the initial sample had a density of 02% and >5% at relapse, and decreased methylation if the sample had a density of methylation >5% at initial presentation and <2% at relapse. Methylation patterns refer to the number of methylated or unmethylated genes in a single patient. For those genes for which COBRA was used to measure methylation, and thus a qualitative analysis could be performed, we used a t test for dependent samples to compare the methylation status at initial presentation and at relapse. For those two genes where MSP was used (p73 and p16) and only a qualitative analysis could be performed, we used the McNemar
2 test. Correlation coefficients were computed using Spearman rank correlation coefficients. Variables analyzed include individual gene methylation values and the patient characteristics age, gender, WBC, hemoglobin, platelet counts, albumin, ß2-microglobulin, cytogenetics, immunophenotype, and systemic and central nervous system risk at presentation (22)
. Definition of CR and disease-free survival have been described elsewhere (22)
. Estimated 5-year disease-free survival and overall survival were based on the Kaplan-Meier method, and differences were tested using the log-rank test.
| RESULTS |
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For all these genes, except for p73, we have analyzed four to five normal bone marrow specimens, none of which showed significant (>2%) methylation (data not shown). p73 has been shown not to be methylated in normal marrow (24)
. Fig. 1
shows representative examples of methylation for each gene. Table 3
summarizes the distribution of methylation densities for each individual gene both at initial presentation and at relapse. Definitions for stable, increased, and decreased methylation are given above. ER methylation remained stable in 22 cases (88%) of cases, increased in 2 (8%), and decreased in 1 (4%). MDR1 methylation was stable in 18 cases (72%), increased in 4 (16%), and decreased in 3 (12%), and p15 remained stable in 15 (60%), increased in 7 (28%), and decreased in 3 (12%). The methylation status of p73 and p16 was analyzed using MSP; therefore, no quantitative analysis could be performed. For p73, 23 cases remained stable (92%), whereas 1 increased and 1 decreased (4% each). p16 remained stable in 20 cases (80%) but increased in 5 (20%; P = 0.0001; Fig. 2
). No case of p16 demethylation was observed.
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Clinical and Pathological Correlates.
Using Spearman Rank correlation analysis, we have explored possible correlations between methylation of a particular locus or methylation pattern with clinical and pathological characteristics and known prognostic factors in ALL. Methylation patterns analyzed included patients with 01 methylation changes versus more than one gene and patients with concomitant p15 and p16 methylation. Factors analyzed included age, gender, WBC, hemoglobin, platelet counts, albumin, ß2-microglobulin, cytogenetics, immunophenotype, and systemic and central nervous system risk at presentation. No significant association was found between methylation of any of the genes studied, any of the above patterns, and any of the studied clinical characteristics. Next, we studied the impact of gene-specific methylation and methylation patterns on second CR rate, duration of first and second remission, and overall survival. No correlation with second CR rate, duration of first and second remission, or overall survival was observed.
| DISCUSSION |
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This is the first study to simultaneously analyze the methylation status of multiple genes both at initial presentation and relapse in an homogeneously treated cohort of patients. ER is frequently methylated in acute leukemias and has been shown to track with disease activity in ALL (14) . Although ER methylation has been shown to confer good prognosis to patients with AML (13) , we were unable to demonstrate such observation in a large series of ALL patients (6) . ER methylation remains stable at relapse in close to 90% of the cases studied. Unfortunately, its role in disease prognostication and in MRD evaluation is limited because ER methylation is observed in nonneoplastic tissues (27) . p73 is a p53 homologue that has been shown to be selectively methylated in lymphoid malignancies but not in normal tissues (24 , 26) . No prior information exists regarding its methylation frequency in relapsed ALL. In our series, this gene remains stable in >90% of cases, suggesting that evaluation of p73 methylation could have a role in studies of MRD in ALL. Expression of MDR1 has been shown to correlate with a poorer prognosis in elderly patients with AML (28) . Methylation of MDR1 has been shown to correlate with the level of expression and resistance in leukemia cell lines and in chronic lymphocytic leukemia (29) . In bladder cancer, methylation of MDR1 has been shown to inversely correlate with MDR1 overexpression, an effect promoted by exposure to chemotherapy. In our series, MDR1 methylation remained stable in 72% of cases, the rest of cases affected both by demethylation and hypermethylation of the gene. These changes in methylation density correlated with the level of MDR1 protein expression. Several studies have analyzed the role of p15 and p16 abnormalities in relapse ALL. In a study of pediatric ALL (16) , p16 was shown to be deleted at relapse in 5 of 18 samples (30%). The same study also evaluated p15 deletion and methylation at relapse; 3 of 18 (16%) cases acquired p15 deletion at relapse. All 3 cases had also acquired concomitant p16 deletion. Four of these cases were evaluated for p15 methylation both at initial presentation and at relapse; in 2 cases, methylation appeared at relapse; 1 case remained unmethylated; and 1 case was demethylated.
There are several limitations to our study. The first one is related to the number of patients and genes studied. Obviously, by increasing the number of patients, we could have observed relevant clinical-biological associations not found presently. Also, by studying more genes, we could have found other important genes aberrantly methylated at relapse. The second limitation is related to the techniques used to study methylation. In this study, we used archival paraffin-embedded biopsies, the only relapse material available to us. The source and small quantity of DNA obtained precluded the use Southern blot as done in prior studies. Bisulfite sequencing of PCR fragments, the current gold standard for methylation analyses, would have required close to 2500 sequencing reactions to conduct a comprehensive analysis of the cohort studied here. To circumvent these issues, we have used two different methods, depending on the genes studied. Both techniques, COBRA and MSP, exploit the modification of DNA by bisulfite. By specifically deaminating nonmethylated cytosines, it allows the design of specific primers for unmethylated and methylated sequences (MSP) or the use of specific restriction enzymes (COBRA). Because we are comparing the methylation patterns at both endpoints, the results obtained should be representative of the methylation changes occurring in the promoter areas of the genes analyzed.
It is important to emphasize that in the present study, we have not attempted to evaluate the role of p15 and p16 deletions in relapse ALL, nor have we attempted to clarify whether the methylation changes are acquired in the initial dominant malignant cell or whether they represent a shift toward a selected cellular clone at relapse.
To our knowledge, this is the most extensive study of DNA methylation at the time of relapse in ALL. It is important to note that all patients studied here were treated homogeneously with the same chemotherapy program. Although these results need to be confirmed in prospective larger scale studies, this work has important implications in the understanding of relapse mechanisms in leukemia. The results suggest that relapse in ALL is dominated by the original cellular malignant clone in a majority of patients, but a subgroup of patients acquires methylation changes at relapse. The frequency of concomitant methylation of p16 and p15, together with the high rate of deletions reported by other groups (30) , confirms the important role of these two genes in relapsed leukemia. The fact that we have not found any defining clinical or biological characteristic of this subgroup of patients is probably a result of the relatively few patients studied. These results have implications in the development of methylation techniques to study MRD in ALL. Genes such as p73 and p16 could be used to monitor disease progression in patients with ALL. The information obtained could be used to treat patients still in morphological remission with hypomethylating agents. The use of 5-aza-2-deoxycytidine could also be explored for remission maintenance in patients with known methylation patterns.
In summary, our results indicate that methylation patterns at relapse in ALL are stable in a majority of patients and confirm the importance of p15 and p16 in relapsed leukemia.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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1 This study was supported in part by a Translational Research Grant from the Leukemia and Lymphoma Society of America and Research Grant RPG-99-098-01 from the American Cancer Society (to J-P. J. I.). G. G-M. is the recipient of a Career Development Award from the American Society of Clinical Oncology and the Peggy Howard Memorial Fund. ![]()
2 To whom requests for reprints should be addressed, at Department of Leukemia, Box 428, University of Texas M. D. Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030. Phone: (713) 745-3428; Fax: (713) 794-4297; E-mail: ggarciam{at}mdanderson.org ![]()
3 The abbreviations used are: ALL, acute lymphocytic leukemia; AML, acute myeloid leukemia; MRD, minimal residual disease; ER, estrogen receptor; MDR1, multidrug resistance 1; CR, complete remission; MSP, methylation-specific PCR; COBRA, combined bisulfite restriction analysis. ![]()
4 Internet address: http://www.mdanderson.org/leukemia/methylation. ![]()
Received 11/15/01; accepted 3/14/02.
| REFERENCES |
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