Leukemia (2004) 18, 1687–1692 & 2004 Nature Publishing Group All rights reserved 0887-6924/04 $30.00 www.nature.com/leu DNA methylation changes in multiple myeloma

O Galm1, S Wilop1, J Reichelt1, E Jost1, G Gehbauer1, JG Herman2 and R Osieka1

1Medizinische Klinik IV, Universitaetsklinikum Aachen, 52074 Aachen, Germany; and 2The Sidney Kimmel Comprehensive Center at Johns Hopkins, Baltimore, MD 21231, USA

Using a candidate approach, we analyzed the methylation It could be demonstrated that there are specific methylation status of the -associated CpG islands of 11 well- patterns in various types of human malignancies.13 Unlike characterized tumor suppressor by methylation-specific genetic alterations in cancer, epigenetic changes are potentially polymerase chain reaction in five multiple myeloma (MM) cell 0 lines and 56 patients with malignant plasma cell disorders. The reversible. Demethylating agents such as 5-aza-2 -deoxycyti- frequency of aberrant methylation among the patient samples dine are capable of reactivating tumor suppressor genes that are was 46.4% for SOCS-1, 35.7% for , 21.4% for E-cadherin, silenced by promoter hypermethylation.4,14 Characterization of 12.5% for DAP kinase and , 1.8% for p15, MGMT as well as the methylation profile of candidate tumor suppressor genes that RARb, and 0% for TIMP-3, RASSF1A and hMLH1. We found at have been established to play a role in tumorigenesis may least one hypermethylated gene in 80.4% of the primary patient samples, while 33.9% harbored two or more hypermethylated provide significant insight into the molecular pathogenesis of genes. For the first time, we show that p73 may be hypermethy- MM. Furthermore, methylation patterns may be predictive for 15,16 lated in MM and thus be involved in the pathogenesis of plasma clinical behavior and response to therapy. cell disorders. Hypermethylation of p16 at diagnosis was To gain further insight into specific pathways that are relevant associated with a poorer prognosis. In patients with plasma in the multistep transformation process of normal plasma cells to cell leukemia, we found frequent simultaneous hypermethyla- MM, we have therefore applied methylation analysis of 11 tion of p16, E-cadherin and DAP kinase. We conclude that aberrant methylation of tumor suppressor genes is a common candidate genes to five MM cell lines and 56 samples from event in malignant plasma cell disorders and that there is a patients with plasma cell disorders as well as 20 nonmalignant correlation between methylation patterns and clinical charac- bone marrow samples. The list of tumor suppressor genes teristics in MM patients. includes the regulators p15, p16 and p73, the tissue Leukemia (2004) 18, 1687–1692. doi:10.1038/sj.leu.2403434 inhibitor of matrix metalloproteinases-3 (TIMP-3), E-cadherin, Published online 19 August 2004 the DNA repair genes O6-methylguanine DNA methyltransfer- Keywords: DNA methylation; tumor suppressor genes; multiple myeloma; ; tumor marker; methylation profile ase (MGMT) and hMLH1, DAP kinase, RASSF1A, the retinoic acid b (RARb) and the cytokine regulator SOCS-1. It could be shown that each of these genes may be affected by aberrant CpG island methylation in association with transcrip- Introduction tional silencing in various types of human malignancies.17–27 Multiple myeloma (MM) is a B-cell neoplasm that is character- ized by the accumulation of malignant plasma cells in the bone Material and methods marrow. Previous molecular studies have largely focused on acquired genetic aberrations in MM. Important changes in DNA Human tissue samples sequence include chromosomal translocations involving the immunoglobulin heavy chain on 14q32 and Bone marrow (BM) and peripheral blood (PB) specimens were various partner genes such as D1, , fibroblast obtained during routine clinical assessment of 53 MM patients receptor 3 and c-, as well as mutations of N- and three patients with monoclonal gammopathy of undeter- ras and K-ras.1–3 The accumulation of genetic events is thought mined significance (MGUS), who presented at the University to be crucial for the malignant transformation of plasma cells.1 Hospital Aachen, Germany, between 1995 and 2002. MM There is increasing evidence that in addition to genetic diagnosis and staging classification were made in accordance aberrations epigenetic processes play a major role in carcino- with standard criteria.28 The main clinical characteristics of the genesis. Aberrant methylation of gene promoter regions is the patient cohort are summarized in Table 1. Control BM samples most widely studied epigenetic abnormality in human malig- were aspirated from 20 patients with nonmetastatic solid tumors nancies and is associated with loss of gene function. This or malignant lymphoma without BM infiltration or hematopoie- epigenetic event acts as an alternative to mutations and tic dysfunction as part of the routine staging procedures. deletions to disrupt function.4,5 It was Informed consent was obtained from all patients following reported previously that hypermethylation of the cell cycle institutional guidelines. Normal PB samples were collected from inhibitors p15 and p16,6–9 the regulator DAP kinase10 healthy volunteers. Mononuclear cells from BM and PB were and the tumor suppressor RASSF1A11 may occur in MM separated by density gradient centrifugation prior to further patients. Additionally, we have recently identified hypermethy- analysis. lation-associated silencing of the suppressor of cytokine signal- ing-1 (SOCS-1) gene to be a frequent epigenetic aberration in 12 MM. Cell lines

Correspondence: Dr O Galm, Medizinische Klinik IV, Universitaets- We obtained the MM cell lines U266, OPM-2, RPMI8226 and klinikum Aachen, Pauwelsstrasse 30, 52074 Aachen, Germany; Fax: þ 49 241 8082449; E-mail: [email protected] LP-1 from the German Collection of Microorganisms and Cell Received 25 March 2004; accepted 11 June 2004; Published online Cultures (Braunschweig, Germany). XG1 cells were kindly 19 August 2004 provided by PC Heinrich (RWTH Aachen, Germany). DNA methylation in multiple myeloma O Galm et al 1688 Table 1 Patient characteristics specific for either the methylated or the unmethylated sequence. Primers for MSP analysis are designed to discriminate between Number of patients 56 methylated and unmethylated alleles after bisulfite treatment Median age, years (range) 65.5 (40–81) and to anneal only to DNA that has been bisulfite-converted. A purification of plasma cells prior to further analysis was not Gender (n) performed because of the high sensitivity of the MSP technique Male 35 Female 21 with a detection limit of approximately 0.1% of methylated DNA present in an otherwise unmethylated sample.29 Paraprotein isotype (n) Genomic DNA was isolated from cell lines and primary IgA 12 tissues using standard methods. Approximately 1 mg of DNA was IgG 33 sodium bisulfite-modified and subjected to MSP as described IgM 1 previously.29 A detailed list of MSP primers that specifically Light chain only 6 Nonsecretory 4 recognize either unmethylated (U) or methylated (M) gene sequences is given in Table 2. Reactions were hot-started at Stage (n) 951C for 5 min and held at 801C before addition of 0.625 U of MGUS 3 Taq polymerase (Sigma, St Louis, MO, USA). Temperature I2conditions for PCR for all genes except TIMP-3 were as follows: II 12 35 cycles of 951C for 30 s, 601C for 30 s and 721C for 30 s, III 39 followed by one cycle of 721C for 5 min. For TIMP-3 analysis, Plasma cell leukemia (n) 5 conditions were 35 cycles of 951C for 30 s, 591C for 30 s and 721C for 30 s, followed by one cycle of 721C for 5 min. PCR Lytic bone lesions (n) products were separated on 2.5% agarose gels and visualized by Yes 44 ethidium bromide staining. No 12

At diagnosis (n)36 During follow-up (n) 20 Statistical methods WBC, G/l (range) 6.2 (0.9–63.4) Hb, g/l (range) 113.5 (57–192) Overall survival curves were plotted according to the method of PLT, G/l (range) 225.5 (22–479) Kaplan and Meier, and compared using the log-rank test. LDH, U/l (range) 185.5 (63–908) Survival was calculated from the date of diagnosis until the Creatinine, mg/dl (range) 1.1 (0.3–6.9) patients’ death or last visit. Correlation between variables was Serum calcium, mmol/l (range) 2.3 (2.04–4.41) estimated using the Fisher’s exact two-sided test. All calculations were performed using the SAS statistical software (version 8.02, SAS Institute, Cary, NC, USA). Methylation-specific polymerase chain reaction (MSP)

MSP29 was used for qualitative analysis of the methylation status Results of the 11 tumor suppressor genes. After bisulfite treatment of genomic DNA, which converts all unmethylated cytosines to We determined the methylation status of 11 tumor suppressor uracils, the subsequent PCR amplification is performed in two genes in five MM cell lines, 56 patients with neoplastic plasma separate reactions with two different primer pairs that are cell disorders and 20 nonmalignant BM specimens. Figure 1

Table 2 Primer sets for MSP analysis

Gene Forward primer (50- 30) Reverse primer (50-30)

p15 U: GGTTGGTTTTTTATTTTGTTAGAGTGAGGT AACCACTCTAACCACAAAATACAAACACA M GGTTTTTTATTTTGTTAGAGCGAGGC TAACCGCAAAATACGAACGCG p16 U: TTATTAGAGGGTGGGGTGGATTGT CAACCCCAAACCACAACCATAA M: TTATTAGAGGGTGGGGCGGATCGC GACCCCGAACCGCGACCGTAA TIMP-3 U: TTTTGTTTTGTTATTTTTTGTTTTTGGTTTT CCCCCAAAAACCCCACCTCA M: CGTTTCGTTATTTTTTGTTTTCGGTTTC CCGAAAACCCCGCCTCG E-cadherin U: TGGTTGTAGTTATGTATTTATTTTTAGTGGTGTT ACACCAAATACAATCAAATCAAACCAAA M: TGTAGTTACGTATTTATTTTTAGTGGCGTC CGAATACGATCGAATCGAACCG MGMT U: TTTGTGTTTTGATGTTTGTAGGTTTTTGT AACTCCACACTCTTCCAAAAACAAAACA M: TTTCGACGTTCGTAGGTTTTCGC GCACTCTTCCGAAAACGAAACG p73 U: AGGGGATGTAGTGAAATTGGGGTTT ATCACAACCCCAAACATCAACATCCA M: GGACGTAGCGAAATCGGGGTTC ACCCCGAACATCGACGTCCG DAP kinase U: GGAGGATAGTTGGATTGAGTTAATGTT CAAATCCCTCCCAAACACCAA M: GGATAGTCGGATCGAGTTAACGTC CCCTCCCAAACGCCGA RASSF1A U: GGGGTTTGTTTTGTGGTTTTGTTT AACATAACCCAATTAAACCCATACTTCA M: GGGTTCGTTTTGTGGTTTCGTTC TAACCCGATTAAACCCGTACTTCG RARb U: TTGGGATGTTGAGAATGTGAGTGATTT CTTACTCAACCAATCCAACCAAAACAA M: TGTCGAGAACGCGAGCGATTC CGACCAATCCAACCGAAACGA hMLH1 U: TTTTGATGTAGATGTTTTATTAGGGTTGT ACCACCTCATCATAACTACCCACA M: ACGTAGACGTTTTATTAGGGTCGC CCTCATCGTAACTACCCGCG SOCS-1 U: TTATGAGTATTTGTGTGTATTTTTAGGTTGGTT CACTAACAACACAACTCCTACAACAACCA M: TTCGCGTGTATTTTTAGGTCGGTC CGACACAACTCCTACAACGACCG

Leukemia DNA methylation in multiple myeloma O Galm et al 1689 two or more hypermethylated gene loci (Po0.05, two-sided Fisher’s exact). Aberrant methylation of p16 was associated with lower Hb levels (P ¼ 0.04, two-sided Fisher’s exact), higher LDH levels (P ¼ 0.02, two-sided Fisher’s exact) and higher creatinine (P ¼ 0.02, two-sided Fisher’s exact). Furthermore, hypermethy- lation of E-cadherin and DAP kinase was associated with a lower platelet count (P ¼ 0.01 and 0.03, respectively; two-sided Fisher’s exact). There were no correlations between the methylation status of the other eight genes and any of the clinical parameters analyzed. For survival analysis only those 36 patients, from whom material was obtained at diagnosis, were included. We found that in these patients, hypermethylation of p16 was correlated with a poorer survival (P ¼ 0.03, log-rank test; Figure 3), while the methylation status of any of the other 10 genes had no prognostic impact.

Discussion

Figure 1 Representative MSP analysis of patient samples. Lanes U: The aim of this study was to determine the methylation patterns amplified products with primers recognizing the unmethylated gene of patients with malignant plasma cell disorders and explore sequence. Lanes M: amplified products with primers recognizing the possible correlations between aberrant methylation and clinical methylated gene sequence. Peripheral blood (PB) from healthy parameters. To our knowledge, this study is the first to analyze volunteers, in vitro methylated DNA (IVD) and water served as the methylation status of multiple promoter-associated CpG controls. islands from a cohort of patients with MM and MGUS. Our data provide evidence that a variety of genes regulating different pathways may be affected by aberrant methylation in MM. shows representative MSP results of the 11 genes analyzed. An We found a higher methylation frequency in MM cell lines overview of the methylation profile of the five MM cell lines and compared to the patient samples. There was aberrant methyla- the 56 patient samples is given in Figure 2. tion of up to eight of the 11 tumor suppressor genes analyzed, In MM cell lines, multiple epigenetic changes could be and all genes except p15 and hMLH1 were hypermethylated in demonstrated. Aberrant methylation of up to eight of the 11 at least one MM cell line. These findings are in accordance with genes per cell line was observed. All genes except p15 and data obtained from solid tumors,30 indicating that cancer cell hMLH1 were hypermethylated in at least one MM cell line. lines tend to exhibit higher levels of CpG island hypermethyla- We then analyzed 56 samples from patients with plasma cell tion than the primary malignancies they represent. disorders. The frequency of aberrant methylation among the The majority of the 56 patients (80.4%) exhibited hyper- patient samples was 46.4% (26/56) for SOCS-1, 35.7% (20/56) methylation of at least one of the 11 candidate genes. The genes for p16, 21.4% (12/56) for E-cadherin, 12.5% (7/56) for DAP most frequently affected by aberrant methylation were SOCS-1, kinase and p73, 1.8% (1/56) for p15, MGMT as well as RARb, p16, E-cadherin, DAP kinase and p73. Hypermethylation of and 0% (0/56) for TIMP-3, RASSF1A and hMLH1. At least one MGMT, p15 and RARb were rare events, while there was no hypermethylated gene was found in 80.4% (45/56) of the methylation of TIMP-3, hMHL1 and RASSF1A. These methyla- primary patient samples, while 33.9% (19/56) harbored two or tion patterns in malignant plasma cell disorders differ from more aberrantly methylated genes. Among the 11 candidate previously reported data in other hematopoietic malignancies. genes analyzed, SOCS-1 was most often affected by hyper- In acute leukemias, aberrant methylation of p15, E-cadherin, methylation in our patient cohort. In patients with plasma cell SOCS-1, DAP kinase and p7313,31–33 are the most common leukemia (PCL), there was frequent simultaneous hypermethyla- events, while in non-Hodgkin’s lymphomas DAP kinase, p16, tion of p16, E-cadherin and DAP kinase. For the first time, we MGMT, RARb and p7313,34 are predominantly affected by CpG demonstrate that p73 may be hypermethylated in MM. MSP for island hypermethylation. p15 was additionally performed using alternative primer pairs We found a significantly higher methylation frequency of p16, for MSP analysis,29 yielding identical results in all patient DAP kinase and E-cadherin as well as a higher total number of samples and cell lines. In contrast to the results from patients hypermethylated genes in PCL. These data from the PCL samples with MM and MGUS, no methylation of any of the 11 tumor indicate that the accumulation of epigenetic events affecting suppressor genes was found in 20 nonmalignant BM samples. genes regulating cell cycle control, cell adhesion and apoptosis We have then explored possible correlations between may in addition to genetic aberrations contribute to a more methylation data and clinical parameters of the 56 patients. aggressive phenotype in MM or reflect a molecular progression Factors analyzed included age, gender, white blood cell count from MM with few silenced genes. PCL is a distinct clinical MM (WBC), hemoglobin levels (Hb), platelet counts (PLT), creati- subgroup that appears to have a characteristic methylation nine, serum calcium levels, serum lactate dehydrogenase (LDH), profile. paraprotein isotype, disease stage and presence of lytic bone The role of p16 in MM pathogenesis has been discussed lesions. Hypermethylation of p16 (Po0.01, two-sided Fisher’s controversially. Previous reports have already shown that exact), DAP kinase (P ¼ 0.01, two-sided Fisher’s exact) and E- hypermethylation of p16 is a common phenomenon in MM cadherin (Po0.01, two-sided Fisher’s exact) was associated and MGUS.6–9,35 While two studies found a correlation of with PCL. Among PCL samples, there was a higher incidence of aberrant p16 methylation with a poorer outcome,8,9 Guillerm

Leukemia DNA methylation in multiple myeloma O Galm et al 1690

Figure 2 Methylation profile of 11 tumor suppressor gene promoter regions in five MM cell lines and 56 patients with plasma cell disorders. Gray grid squares indicate methylated sites, open grid squares indicate unmethylated sites.

Leukemia DNA methylation in multiple myeloma O Galm et al 1691 Acknowledgements

We thank Sandra Mellen and Ingeborg Wiegand for expert technical assistance and Albert Esser for help with the statistical analysis. This work was supported by a grant from the Rheinisch- Westfaelische Technische Hochschule Aachen (START program) and the Samuel Waxman Cancer Research Foundation. JGH is a paid consultant to and receives research support from Onco- Methylome Sciences. The terms of this arrangement are being managed by the Johns Hopkins University in accordance with its conflict of interest policies.

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Leukemia