MIR129-2 has been shown to be a tumor suppressor microRNA hypermethylated in epithelial cancers.
Patients and methods
Epigenetic inactivation of MIR129-2 was studied by methylation-specific PCR (MSP) in 13 cell lines (eight myeloma and five lymphoma), 15 normal controls and 344 primary samples including acute myeloid leukemia (AML), acute lymphoblastic leukemia (ALL), chronic myeloid leukemia (CML), chronic lymphocytic leukemia (CLL), non-Hodgkin’s lymphoma (NHL), multiple myeloma (MM) at diagnosis, MM at relapse/progression, and monoclonal gammopathy of undetermined significance (MGUS). Expression of MIR129 and its target, SOX4, in cell lines was measured before and after hypomethylating treatment and MIR129 overexpression. MIR129 expression was correlated with MIR129-2 methylation status in primary lymphoma samples. Tumor suppressor function of MIR129 was demonstrated by MTT and trypan blue exclusion assay after MIR129 overexpression.
The sensitivity of the methylated-MSP was one in 103. Different MSP statuses, including complete methylation, partial methylation, and complete unmethylation, were verified by quantitative bisulfite pyrosequencing. All five lymphoma and seven of eight myeloma cell lines showed complete and partial MIR129-2 methylation. In primary samples, MIR129-2 methylation was absent in AML and CML, but detected in 5% ALL, 45.9% CLL, 49.5% MM at diagnosis, and 59.1% NHL. In CLL, MIR129-2 methylation adversely impacted on survival (p=0.004). In MM, MIR129-2 methylation increased from 27.5% MGUS to 49.5% MM at diagnosis and 41.5% at relapse/progression (p=0.023). In NHL, MIR129-2 methylation was associated with MIR124-1 and MIR203 methylation (p<0.001), and lower MIR129 expression (p=0.009). Hypomethylation treatment of JEKO-1, homozygously methylated for MIR129-2, led to MIR129-2 demethylation and MIR129 re-expression, with downregulation of SOX4 mRNA. Moreover, MIR129 overexpression in both mantle cell lines, JEKO-1 and GRANTA-519, inhibited cellular proliferation and enhanced cell death, with concomitant SOX4 mRNA downregulation.
MIR129-2 is a tumor suppressive microRNA frequently methylated in lymphoid but not myeloid malignancies, leading to reversible MIR129-2 silencing. In CLL, MIR129-2 methylation was associated with an inferior survival. In MM, MIR129-2 methylation might be acquired during progression from MGUS to symptomatic MM. In NHL, MIR129-2 methylation might collaborate with MIR124-1 and MIR203 methylation in lymphomagenesis.
DNA methylation, which adds a methyl group to the number 5 carbon of a cytosine ring of a CpG dinucleotide, is catalyzed by DNA methyltransferase [1, 2]. Cancers are characterized by a global DNA hypomethylation and locus-specific hypermethyla-tion of tumor suppressor gene (TSG). Based on a pathway-specific approach, multiple TSGs in pathways including cell cycle regulation, Janus kinase/signal transducer and activator of transcription (JAK/STAT) signaling, wingless-type MMTV intergration site family (WNT) signaling, and death-associated protein (DAP) kinase-associated intrinsic tumor suppression, have been shown to be inactivated by gene hypermethylation in leukemia, lymphoma and multiple myeloma (MM) [1, 3].
MicroRNAs are short sequences (22–25 nucleotides) of non-coding RNA molecules that regulate a range of biological processes by inducing RNA degradation and/or translation inhibition of targeted mRNAs . Precise microRNA expression is commonly dysregulated in human diseases, including cancers. In carcinogenesis, of these aberrantly expressed microRNAs in malignant cells, those upregulated microRNAs which lead to targeting of tumor suppressor genes are known as oncomiRs. On the other hand, those downregulated microRNAs which originally may inactivate oncogenes are known as tumor suppressive microRNAs [5, 6]. Recently, DNA methylation has emerged as an important mechanism in the regulation of microRNA expression, in particular, hypermethylation of microRNA gene promoters may lead to inactivation of tumor suppressive microRNAs in cancers .
In human, MIR129 is transcribed from MIR129-1 and MIR129-2 located on chromosome 7q32 and 11p11 respectively. A CpG island is present in the proximity of MIR129-2 but not MIR129-1 promoter. Moreover, loss of MIR129 expression by MIR129-2 methylation has been reported in gastric, endometrial, and colorectal cancers [8–10], leading to upregulation of oncogenes including cyclin-dependent kinase 6 (CDK6) and sex determining region Y-box 4 (SOX4) mRNAs, thereby illustrating the tumor suppressive effect of MIR129[9–12].
We therefore investigated the role of MIR129-2 methylation and MIR129-mediated tumor suppression in a range of hematological malignancies including acute myeloid leukemia (AML), chronic myelogenous leukemia (CML), acute lymphoblastic leukemia (ALL), chronic lymphocytic leukemia (CLL), non-Hodgkin's lymphoma (NHL), and multiple myeloma (MM), together with monoclonal gammopathy of undetermined significance (MGUS), the precursor stage of MM, and MM at relapse/progression.
Methylation-specific PCR: MIR129-2 methylation in controls and cell lines
Direct sequencing analysis of M-MSP products of a methylated positive control showed expected conversion of unmethylated cytosine to uracil (turned into thymidine after PCR) while leaving methylated cytosine unchanged, which indicated complete bisulfite conversion and MSP specificity (Figure 1A). Sensitivity of the MIR129-2 M-MSP was one in 103 (Figure 1B). None of the 15 healthy donor samples showed aberrant MIR129-2 methylation (Figure 1C). On the other hand, 7 of 8 MM cell lines showed partial MIR129-2 methylation (Figure 1D). Moreover, all of the 5 lymphoma cell lines showed complete MIR129-2 methylation (Figure 1E). Quantitative bisulfite pyrosequencing confirmed the methylation statuses (MM, MU, UU) of the cell lines detected by MSP (Additional file 1: Figure S1A and B). Furthermore, of these completely or partially methylated cell lines, complete methylation of the MIR129-2 was associated with a trend of lower MIR129 expression than those with partial methylation (Additional file 1: Figure S2).
Methylation-specific PCR: MIR129-2 methylation in primary samples at diagnosis
There was no MIR129-2 methylation detected in any of the AML and CML patients (Figure 2A). In ALL, MIR129-2 methylation was detected in only 1 (5%) of 20 patients. In CLL, MIR129-2 methylation occurred in 28 (45.9%) patients (Figure 2A). MIR129-2 methylation was not correlated with mean or median hemoglobin level, lymphocyte and platelet counts. Moreover, there was no correlation between MIR129-2 methylation and age, gender, Rai stage (≥stage 2), or high-risk karyotypic aberrations. In 50 CLL patients with concomitant data on MIR34A, MIR124-1, MIR196B and MIR203 methylation, there was no association with MIR129-2 methylation with methylation of these microRNAs (data not shown). On the other hand, the median survivals were significantly inferior in patients with MIR129-2 methylation than those without (49 versus 111 months, p=0.004; Figure 2B).
Amongst NHL samples, MIR129-2 was methylated in 41 (60.3%) cases, including four NK/T-cell lymphoma (50.0%), 31 B-cell lymphomas (68.9%), and six T-cell lymphomas (40.0%). Methylation of MIR129-2 was not correlated with age, gender, extranodal disease or Ann Arbor staging. On the other hand, MIR129-2 methylation was associated with methylation of MIR124-1 (N=68; p<0.001), MIR203 (N=43; p<0.001) but not that of MIR34A or MIR196B (Figure 3A). Finally, in 25 primary lymphoma samples (follicular lymphoma, N=12; diffuse large B-cell lymphoma, N=13) with both DNA and RNA available, 20 samples displayed methylated MSP signals and 5 were completely unmethylated (Figure 3B), which were verified by quantitative pyrosequencing in selected cases (Additional file 1: Figure S3A and B). Importantly, samples with methylation of MIR129-2 was associated with a lower level of mature MIR129 expression, and hence a higher ΔCt (CtMIR129 - CtSNORD48) than those completely unmethylated samples (p=0.009) (Figure 3C).
In MM, MIR129-2 was methylated in 47 patients (49.5%) at diagnosis and 12 patients (41.4%) at relapse (p=0.590). Methylation of MIR129-2 was more frequent in IgD immunoglobulin isotype, occurring in 3 (100%) of IgD, 34 (59.5%) of IgG, 8 (34.8%) of IgA, and 2 (18.2%) of light chain but none of non-secretary MM (p=0.013). However, there was no association of MIR129-2 methylation with gender, ISS, median OS, or methylation of MIR34A, MIR124-1, MIR196B or MIR203. Interestingly, MIR129-2 methylation was only detected in 11 (27.5%) patients with MGUS. Therefore, MIR129-2 methylation was more frequent in MM at diagnosis than patients with MGUS (p=0.023).
5-azadC treatment and MIR129 overexpression in lymphoma cell lines
To investigate if the MIR129-2 methylation might lead to low MIR129 expression, JEKO-1 with homozygously methylated MIR129-2 was treated with different concentrations of 5-azadC for 3 days and tested for MSP and stem-loop RT-qPCR. On treatment with 5-azadC, MIR129-2 was demethylated (Figure 4A; Additional file 1: Figure S4), with a corresponding increase in MIR129 expression (Figure 4B) and downregulation of SOX4 mRNA (Figure 4C), which has been shown to be a direct target of MIR129. To validate the tumor suppressive effect of MIR129, MIR129 was overexpressed in JEKO-1 cells (Figure 5A). Upregulation of MIR129 led to SOX4 downregulation (p=0.036, Figure 5Aii). Furthermore, MIR129 expression resulted in reduction of cellular proliferation as measured by MTT assay (p=0.018, Figure 5Aiii) and an increase of dead cells as measured by trypan blue exclusion assay (p=0.017, Figure 5Aiv). The tumor suppressive effect of MIR129 in the inhibition of cell proliferation and enhancement of cell death was further demonstrated in GRANTA-519 cells, which is also completely methylated for MIR129-2 (Figure 5B).
In this study, we demonstrated that MIR129-2 was hypermethylated in NHL and MM cell lines but not in normal blood or mononuclear cells, illustrating a methylation pattern similar to other epigenetically silenced tumor suppressor microRNAs, such as MIR34A, MIR34B/C, MIR124, and MIR203, in hematological cancers [13–17]. This is in contrast to some methylated microRNAs, such as MIR127 and MIR373, which show a tissue-specific methylation pattern, with methylation occurring in both tumor cells and their normal counterparts . Moreover, methylation leading to reversible gene silencing was illustrated here with re-expression of MIR129 upon hypomethylation of MIR129-2. Furthermore, overexpression of MIR129 led to decreased cell proliferation with increased cell death. These results were consistent with a tumor suppressor role of MIR129 in lymphoma cells, similar to its effects on other epithelial cancers [9–11, 19]. In particular, SOX4, a known target of MIR129, facilitates differentiation of lymphocytes, and has been shown upregulated in various human cancers . Indeed, herein, downregulation of SOX4 was shown associated with upregulation of MIR129 upon either hypomethylating treatment or overexpression in GRANTA-519 and JEKO-1 lymphoma cell lines. Taken together, the findings indicate that hypermethylation of MIR129-2 led to reversible inactivation of tumor suppressive MIR129 in hematological cancers. Lastly, in cell lines which showed complete methylation of MIR129-2, there is no deletion of the MIR129-2 locus, i.e. chromosome 11p11 , and hence complete methylation in these cells suggests biallelic MIR129-2 methylation.
Secondly, we found that MIR129-2 methylation was frequent and appeared to be associated with poor survival in CLL patients, which warrants future prospective studies with larger number of patients. In CLL, apart from ZAP-70 gene hypermethylation being a favourable prognostic marker, there is little information on the role of DNA methylation in the pathogenesis and clinical outcome of the disease [22–26]. Furthermore, understanding of the prognostic value of microRNA and microRNA methylation in CLL remains preliminary [14–16, 27–29]. Hence, our observation of MIR129-2 methylation adversely impacting on survival in CLL is a novel finding. In order to establish the prognostic significance of MIR129-2 methylation in CLL, a multivariate analysis together with Rai stage, lymphocyte counts and high-risk karyotype is required. However, the small number of patients in this cohort precluded a multivariate analysis.
In NHL, in contrast to MIR34A, MIR124-1, and MIR203, which were frequently methylated in NK- or B-cell lymphoma, MIR129-2 methylation was frequent but comparable among B-, T- or NK-cell lymphomas. However, an interesting observation was that methylation of MIR129-2, which is localized to chromosome 11p11, was associated with methylation of MIR124-1 (localized to 8p23) and MIR203 (localized to 14q32). As MIR124-1 targets CDK6 mRNA and MIR203 targets ABL and CREB mRNAs, the strong association of methylation of these microRNAs suggested collaboration of silencing of multiple microRNAs for oncogenesis [14, 16]. Moreover, in lymphoma samples, in which both DNA and RNA were available, significantly lower expression of MIR129 was demonstrated in primary lymphoma samples with MIR129-2 methylation than those without, further testifying the association of microRNA silencing with microRNA hypermethylation.
In MM, MIR129-2 methylation was more frequent in MM patients at diagnosis or relapse/progression than patients with MGUS, and hence might be an important event implicated in transformation of MGUS to symptomatic MM. Despite that these samples were not CD138-sorted, the mean and median of plasma cell percentage of these MGUS samples were 4.78 and 5 respectively, and hence well within the limit of detection by the M-MSP. However, MSP performed on CD138-sorted plasma cells would be ideal, and hence the current finding warrants further studies using CD138-sorted samples. On the other hand, there was no impact of MIR129-2 methylation on OS. However, this cohort of patients was heterogeneously-treated, and hence the prognostic impact of MIR129-2 methylation remains to be verified in a cohort of uniformly-treated patients.
In summary, MIR129 is a putative tumor suppressive microRNA, and methylated in a tumor-specific manner, leading to reversible microRNA silencing. MIR129-2 methylation was frequent in lymphoid but uncommon in myeloid neoplasms. In CLL, MIR129-2 methylation adversely impacted on survival. In NHL, MIR129-2 methylation was associated with methylation of other tumor suppressor microRNAs. In MM, MIR129-2 methylation was probably associated with progression from MGUS to symptomatic MM. Therefore, MIR129-2 methylation is important in the pathogenesis, disease progression and prognostication in lymphoid neoplasms. The implication of MIR129-2 methylation with methylation of other tumor suppressive microRNAs in lymphomas warrants further study.
Diagnostic bone marrow or tissue samples were obtained in 20 ALL, 20 AML, 11 CML in chronic phase, 61 CLL, 68 NHL, 40 MGUS, 95 MM at diagnosis, and 29 MM at relapse/progression. Patient demographics were listed in Table 1.
ALL (N = 20)
Median age (range)
35 (13–62) years
MIC type (C/PB/EPB/T)
AML (N = 20)
Median age (range)
41.5 (20–72) years
FAB type (M1/M2/M4/M5)
CLL (N = 61)
Median age (range)*
65 (37–91) years
Rai stage (<2/≥2)*
Median lymphocyte count (range)*
18.5 (10–236) × 109/L
High-risk [del(17p)/trisomy 12]‡
Low-risk [del(13)/normal karyotype/ other karyotype abnormalities]‡
CML (N = 11)
Median age (range)
41 (22–87) years
MM (N = 95)
Median age (range)
62 (29–91) years
Ig type (G/A/D/LC/NS)
ISS stage (I/II/III)†
NHL (N = 68)
Median age (range)
Ann Arbor stage (I/II/III/IV)^
Type (ALCL/ AITL/ PTCL,NOS/ NK-T/ FL/ MZL/ MCL/ DLBCL)
2/ 4/ 9/ 8/ 21/ 7/ 2/ 15
Keys: *, from 59 patients with clinical data; ‡, from 37 patients with cytogenetic data; †, from 79 patients with sufficient data; ^, from 29 patients with Ann Arbor stage data; A, IgA type; AITL, angioimmunoblastic T-cell lymphoma; ALCL, anaplastic large-cell lymphoma; C, common ALL; D, IgD type; DLBCL, diffuse large B-cell lymphoma; EBP, early B precursor; FAB, French-American-British; FL, follicular lymphoma of grade ≤ 2; G, IgG type; ISS, International Staging System for myeloma; LC, light chain myeloma; MCL, mantle cell lymphoma; MIC, morphologic-immunophentypic-classification; MZL, marginal zone lymphoma; NK-T, NK/T-cell lymphoma (nasal or extranasal type); NS, non-secretary myeloma; PB, precursor B ALL; PTCL,NOS, peripheral T-cell lymphoma, not otherwise specified; T, precursor T ALL.
Diagnosis of leukemia and lymphoma were made according to the French-American-British Classification and WHO Classification of Tumors respectively [30–33].
In the CLL group, median overall survival (OS) was 81 months for the whole group, and 102 months in those with limited, and 54 months in those with advanced Rai stage (p=0.009). Median OS of CLL patient with low/standard-risk and high-risk karyotypes were 111 months and 21 months (p<0.001).
In the NHL group, of 36 patients with data available at clinical presentation, 23 had nodal and 13 had extranodal involvement. Correlation between microRNA methylation and expression was studied in 25 primary lymphoma samples (follicular lymphoma, N=12; diffuse large B-cell lymphoma, N=13), in which both DNA and RNA were available.
The diagnosis of MGUS and MM was based on standard criteria . Complete staging work-up included bone marrow examination, skeletal survey, serum and urine protein electrophoresis, and serum immunoglobulin (IgG, IgA, and IgM) levels. In this cohort, the median OS was 44 months, and projected 10-year OS was 19.9%. The median OS were 83 months, 60 months and 23 months in those with ISS I, II and III disease respectively (p<0.001). Definitions of relapse and disease progression followed the criteria of European Group for Blood and Marrow Transplantation Registry . Briefly, “relapse” from complete remission (CR) was defined as the reappearance of the same paraprotein detected by serum/urine protein electrophoresis, appearance of new bone lesion or extramedullary plasmacytoma, or unexplained hypercalcaemia. The definition of “disease progression” from plateau phase/stable disease was the same as the definition of relapse except that “a >25% increase in paraprotein level” replaced “reappearance of the same paraprotein”. The study has been approved by Institutional Review Board of Queen Mary Hospital, and written informed consent was obtained from the patient for publication of this report and any accompanying data or images.
MM cell lines LP-1 & RPMI-8226 were kindly provided by Dr Robert Orlowski (Department of Lymphoma/Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA) and WL-2 by Prof. Andrew Zannettino (Myeloma Research Programme, The University of Adelaide, Australia). NCI-H929 was purchased from American Type Culture Collection (Manassas, VA, USA). Other MM (KMS-12-PE, MOLP-8, OPM-2 and U-266) and lymphoma (SU-DHL-6, SU-DHL-16, GRANTA-519, MINO & JEKO-1) cell lines were purchased from Deutsche Sammlung von Mikroorganismen und Zellkulturen (DSMZ) (Braunschweig, Germany). Cell cultures were maintained in RPMI-1640 (IMDM for LP-1), supplemented with 10% (15% for lymphoma cell lines) fetal bovine serum, 50 U/ml of penicillin and 50 ug/ml streptomycin in a humidified atmosphere of 5% CO2 at 37°C. All cell culture reagents were purchased from Invitrogen (Carlsbad, CA, USA).
DNA and RNA extractions
DNA was extracted from primary samples, 8 MM cell lines (KMS-12-PE, LP-1, MOLP-8, NCI-H929, OPM-2, RPMI-8226, U-266 and WL-2) and 5 lymphoma cell lines (SU-DHL-6, SU-DHL-16, GRANTA-519, MINO and JEKO-1), using QIAamp DNA Blood Mini (Qiagen, Hilden, Germany). Total RNA were harvested using mirVana™ miRNA Isolation Kit (Ambion Austin, TX, USA).
DNA samples were treated to convert unmethylated cytosine to uracil by EpiTect Bisulfite Kit (Qiagen, Hilden, Germany). Primers and conditions for methylated-MSP (M-MSP) and unmethylated-MSP (U-MSP) of MIR129-2 were listed in Table 2. Primers and conditions of MSP for MIR124-1 and MIR203 were previously described [14, 16]. Mononuclear cell DNA from 15 healthy donors [8 bone marrow, 3 peripheral blood, 3 CD19-sorted peripheral blood, and 1 CD138-sorted bone marrow (AllCells, CA, USA)] were used as negative control, and an enzymatically methylated control DNA purchased from CpGenome Universal Methylated DNA (Chemicon/Millipore, Billerica, MA, USA) was used as positive control in all the experiments. Amplified products were then visualized by 6% non-denaturing polyacrylamide gel stained by ethidium bromide.
(II) Reverse transcription-polymerase chain reaction (RT-PCR)
Keys: M-MSP, MSP for the methylated allele; Tm, annealing temperature; U-MSP, MSP for the unmethylated allele.
Sensitivity of the M-MSP
To establish the sensitivity of the MIR129-2 M-MSP, 1 μg of methylated control DNA was 10-fold serially diluted in buffer, bisulfite-treated and amplified with MIR129-2 M-MSP primers.
Quantitative bisulfite pyrosequencing
Bisulfite-treated DNA was used as template. Methylation-unbiased primer set was used to amplify the promoter region, which overlapped with the amplicon of the MSP. Forward: 5’-AGA GGG ATA GGA TAG GTA GG-3’; reverse: 5’-AAC CCT AAA ACC CAA CAA ACT AAA TCT-3’; condition: 2 mM/55°C/50X. A stretch DNA with 9–12 adjacent CpG dinucleotides was pyrosequenced by sequencing primer: 5’-GGT TTG GAG AAA TGG A-3’.
JEKO-1 was homozygously methylated for MIR129-2. Cells were seeded in six-well plates at a density of 1x106 cells/ml and cultured with 0.5–1uM of 5-aza-2’-deoxycytidine (5-azadC) (Sigma–Aldrich) for 3 days.
Short mature microRNA transcripts were quantified using stem-loop RT-qPCR which is a sensitive, specific and widely-used method designed for microRNA studies . For MIR129, RT was performed using Taqman® MicroRNA RT Kit and Taqman® MicroRNA Assay Kit (ABI, Foster City, CA, USA), according to the manufacturer’s instructions. Total RNA was reverse transcribed in 1 mmol/l dNTPs, 50 U MultiScribe™ Reverse Transcriptase, 1× RT Buffer, 3·8 U RNase Inhibitor, and 1× stem-loop RT primer at following thermal cycling condition: 16°C for 30 min, 42°C for 30 min, and 85°C for 5 min. RT-qPCR of MIR129 was performed using 1·33 μl of 1:15 diluted RT product in 1× Taqman® Universal PCR Master Mix, and 1× Taqman® Assay at 95°C for 10 min, followed by 40 cycles of 95°C for 15 s and 60°C for 1 min. SNORD48 was used as reference for data analysis with the 2-ΔΔCt method . Conventional RT-qPCR was used for SOX4 transcript, RT was performed using QuantiTect Reverse Transcription Kit (Qiagen), according to the manufacturer’s instructions. RT-qPCR was performed by iQ SYBR Green Supermix (Bio-Rad), using GAPDH as endogenous control for data analysis with the 2-ΔΔCt method . Primers for detecting SOX4 and GAPDH were summarized in Table 2.
MIR129 overexpression in JEKO-1 cells
Cells at log phase were transfected with 150nM of either negative control mimic or MIR129 oligo mimic (Ambion) at a density of 106 cell/mL using X-tremeGENE siRNA transfection reagent (Roche), according to the manufacturer’s instructions.
Cell proliferation was determined by colorimetric quantification of purple formazan formed from the reduction of yellow tetrazolium MTT (3-(4, 5-dimethylthiazolyl-2)-2, 5-diphenyltetrazolium bromide) by proliferating cells. Briefly, cells were seeded in a 96-well microtitre plate at 5 × 105 /well in 100 μl of medium. At the assay time point, each well was added 10 μl of 5 mg/ml MTT reagent (Sigma-Aldrich), followed by 6-hour incubation, after which 100 μl of DMSO was added. The absorbance reading at 550 nm with reference to 650 nm was recorded. Relative abundances of proliferative viable cells from three independent experiments were calculated.
Trypan blue exclusion assay
Dead cells were visualized by trypan blue staining and five random microscopic fields were counted for each sample. Dead cells (%) = (total number of dead cells per microscopic field/ total number of cells per microscopic field) X 100. Percentages of dead cells from three independent experiments were calculated.
Correlation between MIR129-2 methylation with continuous (mean age) and categorical variables (gender, histological subtypes, lineage [B, T or NK/T] and nodal/extranodal presentation) were studied in these 68 patients by Student’s t-test and Chi-square test (or Fisher Exact test) respectively. Overall survival (OS) was measured from the date of diagnosis to the date of last follow‐up or death. Survival was plotted by the Kaplan‐Meier method, and compared by the log‐rank test. Moreover, in 25 primary B-cell NHL samples in which both DNA and RNA were available, the mean expression of MIR129 in methylated and unmethylated lymphoma was compared by the Student’s t-test. Association between MIR129-2 methylation and other previously studied tumor suppressive microRNA methylation, including MIR34A, MIR124-1, MIR203 and MIR196B[14–16], in MM, NHL and CLL patients were studied by Χ2 test. The mean results from triplicate experiments after MIR129 transfection were compared by Student’s t-test. All p-values were 2-sided.
This work was supported by The University of Hong Kong Seed Funding Programme for Basic Research (Project Code: 201011159064), and the Hong Kong Research Grants Council General Research Fund (Ref. 763409M) awarded to C.S.C. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Department of Medicine, Queen Mary Hospital, The University of Hong Kong
Department of Pathology, United Christian Hospital
Department of Pathology, Kwong Wah Hospital
Department of Pathology, Pamela Youde Nethersole Eastern Hospital
Department of Biochemistry, The University of Hong Kong
Chim CS, Liang R, Kwong YL: Hypermethylation of gene promoters in hematological neoplasia. Hematol Oncol. 2002, 20: 167-176. 10.1002/hon.694.View ArticlePubMed
Herman JG, Baylin SB: Gene silencing in cancer in association with promoter hypermethylation. N Engl J Med. 2003, 349: 2042-2054. 10.1056/NEJMra023075.View ArticlePubMed
Chim CS, Kwong YL, Liang R: Gene hypermethylation in multiple myeloma: lessons from a cancer pathway approach. Clin Lymphoma Myeloma. 2008, 8: 331-339. 10.3816/CLM.2008.n.048.View ArticlePubMed
Esquela-Kerscher A, Slack FJ: Oncomirs - microRNAs with a role in cancer. Nat Rev Cancer. 2006, 6: 259-269.View ArticlePubMed
Chen C-Z: MicroRNAs as oncogenes and tumor suppressors. N Engl J Med. 2005, 353: 1768-1771. 10.1056/NEJMp058190.View ArticlePubMed
Calin GA, Croce CM: MicroRNA signatures in human cancers. Nat Rev Cancer. 2006, 6: 857-866. 10.1038/nrc1997.View ArticlePubMed
Kunej T, Godnic I, Ferdin J, Horvat S, Dovc P, Calin GA: Epigenetic regulation of microRNAs in cancer: an integrated review of literature. Mutat Res Fundam Mol Mech Mutagen. 2011, 717: 77-84. 10.1016/j.mrfmmm.2011.03.008.View Article
Bandres E, Agirre X, Bitarte N, Ramirez N, Zarate R, Roman-Gomez J, Prosper F, Garcia-Foncillas J: Epigenetic regulation of microRNA expression in colorectal cancer. Int J Cancer. 2009, 125: 2737-2743. 10.1002/ijc.24638.View ArticlePubMed
Huang Y-W, Liu JC, Deatherage DE, Luo J, Mutch DG, Goodfellow PJ, Miller DS, Huang THM: Epigenetic repression of microRNA-129-2 leads to overexpression of SOX4 oncogene in endometrial cancer. Cancer Res. 2009, 69: 9038-9046. 10.1158/0008-5472.CAN-09-1499.PubMed CentralView ArticlePubMed
Shen R, Pan S, Qi S, Lin X, Cheng S: Epigenetic repression of microRNA-129-2 leads to overexpression of SOX4 in gastric cancer. Biochem Biophys Res Commun. 2010, 394: 1047-1052. 10.1016/j.bbrc.2010.03.121.View ArticlePubMed
Dyrskjot L, Ostenfeld MS, Bramsen JB, Silahtaroglu AN, Lamy P, Ramanathan R, Fristrup N, Jensen JL, Andersen CL, Zieger K: Genomic profiling of microRNAs in bladder cancer: miR-129 is associated with poor outcome and promotes cell death in vitro. Cancer Res. 2009, 69: 4851-10.1158/0008-5472.CAN-08-4043.View ArticlePubMed
Wu J, Qian J, Li C, Kwok L, Cheng F, Liu P, Perdomo C, Kotton D, Vaziri C, Anderlind C: miR-129 regulates cell proliferation by downregulating Cdk6 expression. Cell Cycle. 2010, 9: 1809-1818. 10.4161/cc.9.9.11535.View ArticlePubMed
Agirre X, Vilas-Zornoza A, Jimenez-Velasco A, Martin-Subero JI, Cordeu L, Garate L, San Jose-Eneriz E, Abizanda G, Rodriguez-Otero P, Fortes P: Epigenetic silencing of the tumor suppressor MicroRNA Hsa-miR-124a Regulates CDK6 expression and confers a poor prognosis in acute lymphoblastic leukemia. Cancer Res. 2009, 69: 4443-4453. 10.1158/0008-5472.CAN-08-4025.View ArticlePubMed
Chim CS, Wong KY, Leung CY, Chung LP, Hui PK, Chan SY, Yu L: Epigenetic inactivation of the hsa-miR-203 in haematological malignancies. J Cell Mol Med. 2011, 15: 2760-2767. 10.1111/j.1582-4934.2011.01274.x.PubMed CentralView ArticlePubMed
Chim CS, Wong KY, Qi Y, Loong F, Lam WL, Wong LG, Jin DY, Costello JF, Liang R: Epigenetic inactivation of the miR-34a in hematological malignancies. Carcinogenesis. 2010, 31: 745-750. 10.1093/carcin/bgq033.View ArticlePubMed
Wong KY, So CC, Loong F, Chung LP, Lam WWL, Liang R, Li GKH, Jin D-Y, Chim CS: Epigenetic inactivation of the miR-124-1 in haematological malignancies. PLoS One. 2011, 6: e19027-10.1371/journal.pone.0019027.PubMed CentralView ArticlePubMed
Wong KY, Yim RLH, So CC, Jin D-Y, Liang R, Chim CS: Epigenetic inactivation of the MIR34B/C in multiple myeloma. Blood. 2011, 118: 5901-5904. 10.1182/blood-2011-06-361022.View ArticlePubMed
Lujambio A, Esteller M: CpG island hypermethylation of tumor suppressor microRNAs in human cancer. Cell Cycle. 2007, 6: 1455-1459.View ArticlePubMed
Tsai K-W, Wu C-W, Hu L-Y, Li S-C, Liao Y-L, Lai C-H, Kao H-W, Fang W-L, Huang K-H, Chan W-C, Lin W-C: Epigenetic regulation of miR-34b and miR-129 expression in gastric cancer. Int J Cancer. 2011, 129: 2600-2610. 10.1002/ijc.25919.View ArticlePubMed
Penzo-Méndez AI: Critical roles for SoxC transcription factors in development and cancer. Int J Biochem Cell Biol. 2010, 42: 425-428. 10.1016/j.biocel.2009.07.018.PubMed CentralView ArticlePubMed
Drexler HG: Guide to Leukemia-Lymphoma Cell Lines. 2010, Braunschweig: DSMZ – German Collection of Microorganisms and Cell Cultures, 2
Corcoran M, Parker A, Orchard J, Davis Z, Wirtz M, Schmitz O, Oscier D: ZAP-70 methylation status is associated with ZAP-70 expression status in chronic lymphocytic leukemia. Haematologica. 2005, 90: 1078-1088.PubMed
Chim CS, Fung T, Wong K, Lau J, Law M, Liang R: Methylation of INK4 and CIP/KIP families of cyclin-dependent kinase inhibitor in chronic lymphocytic leukaemia in Chinese patients. J Clin Pathol. 2006, 59: 921-10.1136/jcp.2005.035089.PubMed CentralView ArticlePubMed
Chim CS, Fung TK, Wong KF, Lau JS, Liang R: Frequent DAP kinase but not p14 or Apaf-1 hypermethylation in B-cell chronic lymphocytic leukemia. J Hum Genet. 2006, 51: 832-838. 10.1007/s10038-006-0029-x.View ArticlePubMed
Chim CS, Pang R, Liang R: Epigenetic dysregulation of the Wnt signalling pathway in chronic lymphocytic leukaemia. J Clin Pathol. 2008, 61: 1214-1219. 10.1136/jcp.2008.060152.View ArticlePubMed
Liu T-H, Raval A, Chen S-S, Matkovic JJ, Byrd JC, Plass C: CpG island methylation and expression of the secreted frizzled-related protein gene family in chronic lymphocytic leukemia. Cancer Res. 2006, 66: 653-658. 10.1158/0008-5472.CAN-05-3712.View ArticlePubMed
Calin GA, Ferracin M, Cimmino A, Di Leva G, Shimizu M, Wojcik SE, Iorio MV, Visone R, Sever NI, Fabbri M: A MicroRNA signature associated with prognosis and progression in chronic lymphocytic leukemia. N Engl J Med. 2005, 353: 1793-1801. 10.1056/NEJMoa050995.View ArticlePubMed
Borkhardt A, Fuchs U, Tuschl T: MicroRNA in chronic lymphocytic leukemia. N Engl J Med. 2006, 354: 524-525. author reply 524–525View ArticlePubMed
Chng WJ: MicroRNA in chronic lymphocytic leukemia. N Engl J Med. 2006, 354: 524-525. author reply 524–525View ArticlePubMed
Bennett JM, Catovsky D, Marie-Theregse D, Flandrin G, Galton DAG, Gralnick HR, Sultan C: Proposals for the classification of the acute leukaemias French-American-British (FAB) Co-operative Group. Br J Haematol. 1976, 33: 451-458. 10.1111/j.1365-2141.1976.tb03563.x.View ArticlePubMed
Hallek M, Cheson BD, Catovsky D, Caligaris-Cappio F, Dighiero G, Dohner H, Hillmen P, Keating MJ, Montserrat E, Rai KR, Kipps TJ: Guidelines for the diagnosis and treatment of chronic lymphocytic leukemia: a report from the International Workshop on Chronic Lymphocytic Leukemia updating the National Cancer Institute-Working Group 1996 guidelines. Blood. 2008, 111: 5446-5456. 10.1182/blood-2007-06-093906.PubMed CentralView ArticlePubMed
Swerdlow SH, Campo E, Harris NL, Jaffe ES, Pileri SA, Stein H, Thiele J, Vardiman JW: WHO Classification of Tumours of Haematopoietic and Lymphoid Tissues. 2008, Lyon: International Agency for Research on Cancer, 4
Van den Berghe H: Morphologic, immunologic and cytogenetic (MIC) working classification of the acute myeloid leukaemias. Br J Haematol. 1988, 68: 487-494. 10.1111/j.1365-2141.1988.tb04242.x.View Article
International Myeloma Working Group: Criteria for the classification of monoclonal gammopathies, multiple myeloma and related disorders: a report of the International Myeloma Working Group. Br J Haematol. 2003, 121: 749-757.View Article
Blade JSD, Reece D: Criteria for evaluating disease response and progression in patients with multiple myeloma treated by high-dose therapy and haemopoietic stem cell transplantation. Br J Haematol. 1998, 102: 1115-1123. 10.1046/j.1365-2141.1998.00930.x.View ArticlePubMed
Chen C, Ridzon DA, Broomer AJ, Zhou Z, Lee DH, Nguyen JT, Barbisin M, Xu NL, Mahuvakar VR, Andersen MR: Real-time quantification of microRNAs by stem–loop RT–PCR. Nucleic Acids Res. 2005, 33: e179-10.1093/nar/gni178.PubMed CentralView ArticlePubMed
Livak KJ, Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2-[Delta][Delta]CT method. Methods. 2001, 25: 402-408. 10.1006/meth.2001.1262.View ArticlePubMed
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