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The Johns Hopkins Oncology Center, Baltimore, Maryland 21231 (M. T., N. A., M. O-T., S. B. B., J-P. J. I.); First Department of Internal Medicine, Sapporo Medical University, Sapporo 060, Japan (H. S., F. I., K. I), and Department of Leukemia, University of Texas M. D. Anderson Cancer Center, Houston, Texas 77030 (J-P. J. I.)
| ABSTRACT |
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| Introduction |
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The causes of promoter methylation in cancer remain unclear. It has previously been reported (20) that, in sporadic MSI+ colorectal cancer, methylation of multiple loci was detected frequently. Recently, hypermethylation of one of the mismatch repair genes, hMLH1, has been shown to play a major role in causing the MSI phenotype in sporadic colorectal cancer (16, 17, 18) , endometrial cancer (19) , and gastric cancer (7) . This hypermethylator phenotype in MSI+ colorectal cancers seems to be related to a new phenotype termed CIMP (21) . CIMP was identified by studying seven newly cloned CpG islands that are methylated exclusively in cancer. In colorectal cancer, CIMP+ tumors include most cases with hypermethylation of known genes such as p16, hMLH1, and THBS1. We now report that CIMP is also present in gastric cancers, in which it is an early event. CIMP in gastric cancer also affects inactivation of known tumor suppressor genes such as p16 and hMLH1. These results indicate that CIMP is one of the major pathways of tumorigenesis in gastric cancers, in which genetic alterations described to date are relatively infrequent.
| Materials and Methods |
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MSP and Bisulfite-PCR.
Both MSP and bisulfite-PCR take advantage of the fact that unmethylated cytosines are efficiently converted to uracil after 16 h of Na-bisulfite treatment, whereas methylated cytosines remain unchanged. Thus, after treatment, methylated alleles have a different sequence than unmethylated alleles, which can be used to design allele-specific PCR primers (for MSP; Ref. 23
). Alternatively, the primers can be designed to amplify both methylated and unmethylated alleles, with the discrimination obtained by digesting amplified fragments with restriction enzymes specific for the methylated alleles (24)
.
Genomic DNA was treated with Na-bisulfite as described previously (23) . Briefly, 2 µg of genomic DNA were denatured by 0.2 M NaOH for 10 min at 37°C. Thirty µl of 10 mM hydroquinone (Sigma) and 520 µl of 3 M Na-bisulfite (Sigma) at pH 5.0 were added and incubated at 50°C for 16 h. Treated DNA was subsequently purified using a PCR-purification system (Promega) and precipitated with ethanol. Two µl of treated DNA were used for each PCR reaction.
The methylation status of p16 was determined as described previously (23) . Briefly, 2 µl of genomic DNA treated with Na-bisulfite was amplified using primers that specifically amplify methylated or unmethylated alleles. PCR was performed in 50-µl reaction volumes containing 1x PCR buffer [67 mM Tris-HCl (pH 8.8), 6.6 mM MgCl2, 16.6 mM NH4SO4, and 10 mM 2-mercaptoethanol], 1.25 mM dNTP mixture, 1 µM of each primer, and 1 unit of Taq DNA polymerase (Sigma). Ten µl of PCR products were electrophoresed in 6% acrylamide gels and visualized by ethidium bromide staining.
The methylation status of hMLH1 and MINT1, 2, 4, 6, 12, 23, 25, 31, and 32 were determined by bisulfite-PCR followed by restriction digestion. Briefly, PCR primers were designed to amplify methylated alleles and unmethylated alleles equally. Two µl of DNA treated with Na-bisulfite were amplified as described previously (21) .4 Twenty to 50% of the PCR products were then digested with restriction enzymes specific to the methylated alleles by virtue of having CpG sites in their recognition sequence. After digestion, DNA was precipitated with ethanol, electrophoresed in a 6% polyacrylamide gel, and stained with ethidium bromide. The methylated alleles were evaluated by densitometry (Image Quant, Molecular Dynamics) as described previously (24) .5
Results
To examine the methylation status of multiple loci in gastric cancer, nine sequences that fulfill the criteria for CpG islands (25)
were selected for analysis. These MINT loci were originally recovered from a colorectal cancer cell line using methylated CpG island amplification, a PCR-based technique developed to clone differentially methylated DNA sequences (26)
. The methylation status of these nine loci was first examined for 27 gastric cancers and adjacent normal stomach mucosa by bisulfite-PCR (Fig. 1)
. In this analysis, DNA is first treated with Na-bisulfite for 16 h, which converts unmethylated C to U, leaving methylated C intact. After PCR amplification, the DNA is digested with restriction enzymes specific for the methylated alleles. Of the nine loci examined, four (MINT4, 6, 23, and 32) showed some degree of methylation in all of the normal stomach samples, and most of the tumors showed hypermethylation at these loci (examples in Fig. 1
, summarized in Table 1
). These results indicate that hypermethylation of these loci is a common event in gastric cancer. This pattern of methylation (termed Type A for aging) is identical to that observed in colorectal cancer, in which genes affected by age-related methylation in normal colon are almost always methylated in cancers as well (21
, 27) . By contrast to these loci, methylation of MINT1, 2, 12, 25, and 31 was exclusively detected in gastric cancers and was absent in most normal gastric mucosa samples (examples in Fig. 1
, summarized in Table 1
and Fig. 2
). This pattern of methylation was also observed in colorectal cancer and was termed Type C for cancer-specific (21)
. The CIMP phenotype in colorectal cancer was identified using such cancer-specific clones (21)
. Therefore, to study CIMP in gastric cancer, the methylation status of these five cancer-specific loci was further examined in a total of 56 cases.
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To establish whether there was an unusual clustering of methylation (or lack thereof), we determined the expected rates of concordance of methylation based on the measured rates of methylation at each of these five loci. If methylation was random in the 56 cases studied, we would have expected to see 2 cases with zero of five positive loci, 11 cases with one of five positive loci, 19 cases with two of five positive loci, 16 cases with three of five positive loci, 6 cases with four of five positive loci, and only 1 case in which all of the loci are methylated. The observed numbers were 9 cases with zero of five loci, 13 cases with one of five loci, 11 cases with two of five loci, 7 cases with three of five loci, 10 cases with four of five loci, and 6 cases with five of five loci methylated, respectively, which was significantly different from what was expected (P = 0.004 by
2 analysis performed by dividing the cases into three groups with zero of one, two of three, and four of five loci methylated). As shown in Fig. 2
, this difference is due to an excess of cases with high levels of methylation, as well as cases with no methylation at all. This indicates the presence of a hyper-methylator phenotype in gastric cancer similar to that seen in colorectal cancer and referred to as CIMP (21)
. The cases showing methylation at more than three loci were defined as CIMP+, those methylated at two loci called CIMP-I (intermediate), and the cases where less than two loci were methylated were defined as CIMP-. The above analyses and classification remain largely unchanged if we exclude MINT25. In fact, in the absence of MINT25, the distinction between the three CIMP groups becomes more pronounced.
To investigate whether CIMP affects the methylation of known genes in gastric cancers, the cyclin-dependent kinase inhibitor p16 on chromosome 9p21 (12, 13, 14)
and the mismatch repair gene hMLH1 on chromosome 3p21 (7
, 16, 17, 18, 19)
, which are known to be methylated in various cancers, were examined. Of 56 cases, 18 (32%) showed methylation of p16, and 3 (5%) showed methylation of hMLH1. Just like the MINT loci examined, methylation of p16 and hMLH1 clustered in CIMP+ cases (Fig. 2)
. p16 was methylated in 16 (70%) of 23 CIMP+ tumors, 1 (8%) of 12 CIMP-I tumors, and 1 (5%) of 21 CIMP- tumors (P < 0.0001 by Fishers exact test). All three of the gastric cancers that showed hMLH1 methylation were CIMP+. Next, we examined the relation between MSI status and CIMP. In total, 5 tumors were MSI-H, 4 tumors were MSI-L, and 47 tumors were microsatellite stable. Three (60%) of five MSI-H tumors were methylated at hMLH1, and all three of the cases were CIMP+. None of the other tumors had hMLH1 methylation. The other two MSI-H tumors were CIMP-.
Gastric cancer often arises from a background of dysplasia (28)
. To determine whether CIMP could precede cancer formation, we next examined the methylation status of multiple CpG islands in normal stomach mucosa adjacent to cancer. Although the methylation of cancer-specific loci was rarely detected in normal stomach mucosa, in five cases (Cases 17, 44, 60, 28, and 1151), the normal mucosa adjacent to CIMP+ tumors showed methylation of multiple loci, including p16 (examples in Fig. 3
). These data suggested the possibility that some CIMP+ gastric cancers arise from CIMP+ dysplasia. Interestingly, in one case (No. 44), the apparently normal CIMP+ tissue was unmethylated at hMLH1, whereas the adjacent cancer was in fact methylated at this locus (data not shown).
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| Discussion |
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The mechanism of this multiple CpG island methylation remains unclear. CIMP affects only a subset of tumors and a limited number of genes. The defect that leads to CIMP could be either aberrant de novo methylation (through a mutation in DNA-methyltransferase for example) or loss of protection against de novo methylation through the loss of a trans-activating factor (3133). These CIMP+ tumors may then develop through a pathway that heavily relies on this methylation defect, whereas others rarely show tumor suppressor gene methylation. An important question is whether the concordant methylation described here provides a growth advantage to affected cells or whether it just accompanies tumor development. Aberrant methylation often occurs in CpG islands outside of promoter regions (29) in which it may not affect gene transcription. Additional studies are necessary to clarify whether the genes methylated in cancer simply reflect the genome wide methylation defect or whether stochastic methylation of each CpG island results from selective pressures.
On the basis of a limited number of cases, we found that CIMP+ gastric cancers had a relatively earlier stage when compared with CIMP- tumors. It is somewhat surprising that six of six nonadvanced gastric cancers showed hypermethylation of multiple loci. Furthermore, CIMP was also detected in some cases in normal mucosa adjacent to cancer, where dysplasia is a common feature. These results indicate that methylation of the genes examined may not simply accumulate during tumor progression because they are very early events in some cases. Furthermore, it is possible that CIMP- tumors that probably evolve along more classical genetic pathways may progress rapidly and are, therefore, rarely found at early stages. Interestingly, MSI+ colorectal cancer, which are often CIMP+, have a better prognosis than MSI- colorectal cancer (34) . Additional studies are necessary to clarify the detailed clinicopathological features of tumors with and without CIMP using a large number of cases.
The methylation profiles that we show here may also be useful as potential diagnostic markers. Loss of heterozygosity is difficult to evaluate in gastric cancer because of the substantial amount of normal cell component in a subset of tumor tissues (35) . Detection of methylation can be done as a gain of signals unlike detecting loss of heterozygosity. Therefore, these loci may serve as good markers to detect tumor cells from biopsies, serum, gastric lavage, and so forth. Some tumor suppressor genes such as p16 have already been shown to be useful for such a purpose (36) . Here, we show a high frequency of methylation of MINT25 in gastric cancer, and this gene is rarely methylated in colorectal, lung, prostate, and brain tumors (data not shown). This CpG island may then be useful as a specific diagnostic marker in gastric cancer in which there is no perfect marker for noninvasive diagnosis. It may also be useful to combine some of these markers to detect circulating tumor cells in blood or predict the prognosis of patients. Moreover, methylation profiling may be useful to establish the epigenotype of each tumor to detect potential differences in sensitivity to chemotherapy, occurrence of metastasis, and overall prognosis.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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1 This work was supported by NIH Colon Cancer Spore Grant CA62924 and National Cancer Institute Grant CA77045 and by American Cancer Society Grant RPG9909801 MGO. M. T. is a postdoctoral fellow of the Japan Society for Promotion of Science. N. A. is supported by NIH Training Grant 1-T32-DK07713. J-P. I. is a Kimmel Foundation Scholar. ![]()
2 To whom requests for reprints should be addressed, at The M. D. Anderson Cancer Center, University of Texas, Box 061, 1515 Holcombe Boulevard, Houston, TX 77030. Phone: (713) 745-2260; Fax (713) 794-4297; E-mail: jissa{at}mdanderson.org ![]()
3 The abbreviations used are: MSI, microsatellite instability; CIMP, CpG island methylator phenotype; MSP, methylation-specific PCR; MINT, methylated in tumors. ![]()
4 Primer sequences and detailed cycling parameters are available at http://www.med.jhu.edu.methylation/primers.html. ![]()
5 Detailed protocols can also be found at http://www.med.jhu.edu/methylation. ![]()
Received 6/ 8/99. Accepted 9/20/99.
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