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Quantitative detection of promoter hypermethylation of multiple genes in the tumor, urine, and serum DNA of patients with renal cancer.

Aberrant promoter hypermethylation of several known or putative tumor suppressor genes occurs frequently during the pathogenesis of human cancers and is a promising marker for cancer detection. We investigated the feasibility of detecting aberrant DNA methylation in the urine and serum samples of renal cancer patients. We examined the tumor and the matched urine and serum DNA for aberrant methylation of nine gene promoters (CDH1, APC, MGMT, RASSF1A, GSTP1, p16, RAR-beta2, and ARF) from 17 patients with primary kidney cancer by quantitative fluorogenic real-time PCR. An additional 9 urine samples (total, 26) and 1 serum sample (total, 18) also were tested from renal cancer patients. Urine from 91 patients without genitourinary cancer and serum from 30 age-matched noncancer individuals were used as controls. Promoter hypermethylation of at least two of the genes studied was detected in 16 (94%) of 17 primary tumors. Aberrant methylation in urine and serum DNA generally was accompanied by methylation in the matched tumor samples. Urine samples from 91 control subjects without evidence of genitourinary cancer revealed no methylation of the MGMT, GSTP1, p16, and ARF genes, whereas methylation of RAR-beta2, RASSF1A, CDH1, APC, and TIMP3 was detected at low levels in a few control subjects. Overall, 23 (88%) of 26 urine samples and 12 (67%) of 18 serum samples from cancer patients were methylation positive for at least one of the genes tested. By combination of urine or serum analysis of renal cancer patients, hypermethylation was detected in 16 of 17 patients (94% sensitivity) with high specificity. Our findings suggest that promoter hypermethylation in urine or serum can be detected in the majority of renal cancer patients. This noninvasive high-throughput approach needs to be evaluated in large studies to assess its value in the early detection and surveillance of renal cancer.

Adult↗

An improved method for the detection of Dcm methylation in DNA molecules.

The intrinsic insensitivity of EcoRII recognition sites in RF DNAs of phage M13 and vector M13mp18 towards this restriction endonuclease can be overcome by adding site-specific oligodeoxyribonucleotide duplexes to the restriction sample. Since Dcm- DNA but not Dcm(+)-methylated DNA becomes susceptible under these conditions, this procedure constitutes an improvement of the Dcm methylation assay.

Bacteriophages↗

A yeast one-hybrid system to detect methylation-dependent DNA-protein interactions.

We developed a method for site-selective CpG methylation of the budding yeast genome. The method recruits LexA-fused M.SssI DNA methyltransferase to LexA operator sequences integrated adjacent to the target site. Microarray analysis of methylated DNAs indicated that the tethered enzyme selectively methylates the region around the target site. Exploiting this method to methylate bait DNA in the one-hybrid system, we demonstrated methylation-dependent DNA binding of methyl-CpG binding proteins, MBD1 and Kaiso, in vivo. This methylation-dependent one-hybrid system would provide a versatile tool for the search and analysis of proteins that recognize methylated DNA to participate in epigenetic regulation.

Base Sequence↗

Detection of methylation damage in DNA of gastric cancer tissues using 32P postlabelling assay.

Gastric cancer is the most common cancer in Korea. The causes are still unknown but it has been speculated that gastric cancer is associated with consumption of foods rich in nitrates/nitrites or a high dietary intake of salt or pickled food. In the present study, we studied the level of alkylated DNA adducts formed in gastric cancer tissues in comparison with that in normal gastric mucosa. DNA was extracted from surgically removed gastric cancer tissues and patient-matched normal gastric mucosa. The level of N7-methyldeoxyguanosine was measured by 32P-postlabelling assay after high performance liquid chromatography (HPLC) enrichment. We found that the level of N7-methyldeoxyguanosine of gastric cancerous tissues was significantly higher than that of normal gastric mucosa (P=0.01685).

Adenocarcinoma↗

DNA methylation in adenovirus, adenovirus-transformed cells, and host cells.

DNAs of adenovirus type 2 and type 12 contain low amounts of methylated bases (0.01 and 0.02% N6-methyl-adenine per adenine, if any, and 0.04 and 0.06% 5-methylcytosine per cytosine for type 2 and type 12, respectively), whereas the DNA of the mammalian host cells contains much more 5-methylcytosine (3.57% for human KB cells). The DNA of hamster cells transformed by adenovirus type 12 contains 3.11 and 3.14% 5-methycytosine (HA12/7 and T627 cells, respectively), whereas the DNA from untransformed hamster cells (BHK21 cells) contains 2.22% 5-methylcytosine. In the DNA of human and hamster cells, little, if any, N6-methyladenine was detected. Methylation of DNA was determined by a sensitive method based on two consecutive steps of two-dimensional thin-layer chromatography of the radioactively labeled DNA bases. By this procedure the detection limits of 5-methylcytosine and N6-methyladenine could be lowered to 0.01% per main base.

Adenoviridae↗

Detection of promoter hypermethylation of multiple genes in the tumor and bronchoalveolar lavage of patients with lung cancer.

PURPOSE: Aberrant promoter hypermethylation of several known or putative tumor suppressor genes occurs frequently during the pathogenesis of lung cancers and is a promising marker for cancer detection. We investigated the feasibility of detecting aberrant DNA methylation in the bronchoalveolar lavage (BAL) samples of lung cancer patients. EXPERIMENTAL DESIGN: We examined the tumor and the matched BAL DNA for aberrant methylation of eight gene promoters (CDH1, APC, MGMT, RASSF1A, GSTP1, p16, RAR-beta 2, and ARF) from 31 patients with primary lung tumors by quantitative fluorogenic real-time PCR. BAL from 10 age-matched noncancer patients was used as a control. RESULTS: Promoter hypermethylation of at least one of the genes studied was detected in all 31 lung primary tumors; 27 (87%) CDH1, 17 (55%) APC, 14 (45%) RASSF1A, 12 (39%) MGMT, 7 (23%) p16, 3 (10%) GSTP1, 3 (10%) RAR-beta 2, and 0 (0%) ARF. Methylation was detected in CDH1 (48%), APC (29%), RASSF1A (29%), MGMT (58%), p16 (14%), GSTP1 (33%), RAR-beta 2 (0%), and ARF (0%) of BAL samples from matched methylation-positive primary tumors, and in every case, aberrant methylation in BAL DNA was accompanied by methylation in the matched tumor samples. BAL samples from 10 controls without evidence of cancer revealed no methylation of the MGMT, GSTP1, p16, ARF, or RAR-beta 2 genes whereas methylation of RASSF1, CDH1, and APC was detected at low levels. Overall, 21 (68%) of 31 BAL samples from cancer patients were positive for aberrant methylation. CONCLUSION: Our findings suggest that promoter hypermethylation in BAL can be detected in the majority of lung cancer patients. This approach needs to be evaluated in large early detection and surveillance studies of lung cancer.

Bronchoalveolar Lavage↗

Immunohistochemical study of DNA methylation dynamics during plant development.

DNA methylation represents one of the key processes that play an important role in the transcriptional control of gene expression. The role of cytosine methylation in plant development has been demonstrated by at least three different kinds of evidence: parent-specific expression of some genes in developing seeds, control of flowering time and floral morphogenesis, and correlation with silencing of intrusive DNA sequences (mobile genetic elements and transgenes). In this work global changes in DNA methylation during seed germination and shoot apical meristem development in Silene latifolia have been studied using an indirect immunohistochemical approach. The data presented show that a rapid decrease in global DNA methylation during seed germination occurs first in endosperm tissue and subsequently in the hypocotyl. Using 5-bromo-2'-deoxyuridine pulses, it has been demonstrated that these demethylation events occurred before cell division had begun. In the early post-germination period, a decrease in DNA methylation was detected in cotyledons, also before cell division was observed. Taken together, these results indicate that DNA demethylation takes place in a non-replicative way, probably by an active mechanism. The central zone of the shoot apical meristem remains highly methylated during the whole period of vegetative growth and in this region, only a low cell division activity was found. However, upon the transition of the shoot apical meristem to the floral bud, the meristem both decreased its high methylation status and its cells started to divide. These data indicate that the central zone of the shoot apical meristem can represent a relatively quiescent 'germ-line' which is activated upon flowering to form spores and gametes.

Cell Differentiation↗

Blocking histone deacetylation in Arabidopsis induces pleiotropic effects on plant gene regulation and development.

Histone acetylation and deacetylation play essential roles in eukaryotic gene regulation. Reversible modifications of core histones are catalyzed by two intrinsic enzymes, histone acetyltransferase and histone deacetylase (HD). In general, histone deacetylation is related to transcriptional gene silencing, whereas acetylation correlates with gene activation. We produced transgenic plants expressing the antisense Arabidopsis HD (AtHD1) gene. AtHD1 is a homolog of human HD1 and RPD3 global transcriptional regulator in yeast. Expression of the antisense AtHD1 caused dramatic reduction in endogenous AtHD1 transcription, resulting in accumulation of acetylated histones, notably tetraacetylated H4. Reduction in AtHD1 expression and AtHD1 production and changes in acetylation profiles were associated with various developmental abnormalities, including early senescence, ectopic expression of silenced genes, suppression of apical dominance, homeotic changes, heterochronic shift toward juvenility, flower defects, and male and female sterility. Some of the phenotypes could be attributed to ectopic expression of tissue-specific genes (e.g., SUPERMAN) in vegetative tissues. No changes in genomic DNA methylation were detected in the transgenic plants. These results suggest that AtHD1 is a global regulator, which controls gene expression during development through DNA-sequence independent or epigenetic mechanisms in plants. In addition to DNA methylation, histone modifications may be involved in a general regulatory mechanism responsible for plant plasticity and variation in nature.

Acetylation↗

Restriction landmark genome scanning for aberrant methylation in primary refractory and relapsed acute myeloid leukemia; involvement of the WIT-1 gene.

There is substantial evidence to suggest that aberrant DNA methylation in the regulatory regions of expressed genes may play a role in hematologic malignancy. In the current report, the Restriction Landmark Genomic Scanning (RLGS) method was used to detect aberrant DNA methylation (M) in acute myeloid leukemia (AML). RLGS-M profiles were initially performed using DNA from diagnostic, remission, and relapse samples from a patient with AML. Rp18, one of the eight spots found that was absent in the relapse sample, was cloned. Sequence analysis showed that the spot represented a portion of the WIT-1 gene on human chromosome 11p13. Rp18 was missing in the relapse sample due to a distinct DNA methylation pattern of the WIT-1 gene. Twenty-seven AML patients that entered CR after therapy (i.e., chemosensitive) were studied and only 10 (37%) of the diagnostic bone marrow (BM) samples showed methylation of WIT-1. However, seven of eight (87.5%) diagnostic BM samples from primary refractory AML (chemosensitive) showed methylation of WIT-1. The incidence of WIT-1 methylation in primary refractory AML was significantly higher than that noted in chemosensitive AML (P=0.018). Together, these results indicate that RLGS-M can be used to find novel epigenetic alterations in human cancer that are undetectable by standard methods. In addition, these results underline the potential importance of WIT-1 methylation in chemoresistant AML.

Acute Disease↗

Studies on the biological role of DNA methylation: V. The pattern of E.coli DNA methylation.

The distribution of the methylatable sites GATC and CCATGG was studied by analyzing the molecular average size of restriction fragments of E. coli DNA. Both sites were found to be randomly distributed, reflecting a random pattern of methylation. The methylation pattern of specific sequences such as the origin of replication and rRNA genes has been studied in wild type E. coli and a methylation deficient (dam- dcm-) mutant. These sequences were found to be methylated in wild type cells and unmethylated in the mutant indicating that there is no effect of the state of methylation of these sequences on their expression. Analysis of the state of methylation of GATC sites in newly replicating DNA using the restriction enzyme Dpn I (cleaves only when both strands are methylated) revealed no detectable hemimethylated DNA suggesting that methylation occurs at the replication fork. Taking together the results presented here and previously published data (5), we arrive at the conclusion that the most likely function of E. coli DNA methylations is probably in preventing nuclease activity.

Base Composition↗

Identifying DNA methylation biomarkers of cancer drug response.

In the last few years, DNA methylation has become one of the most studied gene regulation mechanisms in carcinogenesis as a result of the cumulative evidence produced by the scientific community. Moreover, advances in the technologies that allow detection of DNA methylation in a variety of analytes have opened the possibility of developing methylation-based tests. A number of studies have provided evidence that specific methylation changes can alter the response to different therapeutic agents in cancer and, therefore, be useful biomarkers. For example, the association of the methylation status of DNA repair genes such as MGMT and MLH1 illustrate the two main mechanisms of response to DNA damaging agents. Loss of methylation of MGMT, and the subsequent increase in gene expression, leads to a reduction in response to alkylating agents as a result of enhanced repair of drug-induced DNA damage. Conversely, the increase in methylation of MLH1 and its resulting loss of expression has been consistently observed in drug-resistant tumor cells. MLH1 encodes a mismatch repair enzyme activated in response to DNA damage; activation of MLH1 also induces apoptosis of tumor cells, and thus loss of its expression leads to resistance to DNA-damaging agents. Other methylation-regulated genes that could serve as biomarkers in cancer therapy include drug transporters, genes involved in microtubule formation and stability, and genes related to hormonal therapy response. These methylation markers have potential applications for disease prognosis, treatment response prediction, and the development of novel treatment strategies.

Antineoplastic Agents↗

Measurement of oxidized and methylated DNA bases by HPLC with electrochemical detection.

Oxidative DNA damage is thought to be an important contributor to cancer development and to be affected by dietary constituents, so its accurate measurement is important. DNA methylation is recognized as an important mechanism affecting gene expression. In the present paper we describe an HPLC-with-electrochemical-detection procedure that allows rapid and sensitive measurement of four oxidized (2,6-diamino-4-hydroxy-5-formamidopyrimidine, 5-hydroxyuracil, 8-hydroxyguanine, 8-hydroxyadenine) and three methylated (7-methylguanine, 1-methylguanine, O6-methylguanine) bases in acid hydrolysates of DNA. Guanine was also detected, but was clearly separated from the other bases.

Chromatography, High Pressure Liquid↗

Changes in methylation patterns identified by two-dimensional DNA fingerprinting.

Two-dimensional DNA fingerprinting (2-D fingerprinting) is a sensitive tool for genomic difference analysis between tumor DNA and constitutive DNA of glioma patients. Numerous differences were found even in low-grade gliomas. They can be interpreted as deletions, amplifications, rearrangements, HaeIII restriction site mutations, tandem repeat instabilities, or methylation differences. The influence of methyl groups on the melting behavior of double-stranded DNA fragments in a denaturing gradient gel was demonstrated by analyzing the migration of lambda-phage DNA fragments in 2-D fingerprint gels. A characteristic intensity shift between two neighboring spots in several glioma samples was identified and verified by rehybridization of 2-D filters with a cloned DNA fragment corresponding to the lower spot in 10 out of 11 pilocytic astrocytomas. We hypothesized that this shift may be related to an alteration in the methylation pattern of the tumor DNA. This was specifically tested by analyzing the underlying 750 bp genomic fragment (including 21 CpG dinucleotides) with bisulfite treatment of agarose-embedded DNA. A methylation grade of 88% in tumor DNA as compared to 96% in blood DNA was found. Although only one CpG is located in the melting domain of the cloned fragment, this particular CpG is methylated in all blood samples, but mostly demethylated in the tumor samples. In conclusion, we demonstrate that 2-D fingerprinting may be a powerful tool for the detection of DNA methylation changes in genomic difference analysis.

Astrocytoma↗

DNA of Drosophila melanogaster contains 5-methylcytosine.

It is commonly accepted that the DNA of Drosophila melanogaster does not contain 5-methylcytosine, which is essential in the development of most eukaryotes. We have developed a new, highly specific and sensitive assay to detect the presence of 5-methylcytosine in genomic DNA. The DNA is degraded to nucleosides, 5-methylcytosine purified by HPLC and, for detection by 1D- and 2D-TLC, radiolabeled using deoxynucleoside kinase and [gamma-(32)P]ATP. Using this assay, we show here that 5-methylcytosine occurs in the DNA of D. melanogaster at a level of approximately 1 in 1000-2000 cytosine residues in adult flies. DNA methylation is detectable in all stages of D.melanogaster development.

5-Methylcytosine↗

Aberrant methylation of p57KIP2 gene in lung and breast cancers and malignant mesotheliomas.

The p57KIP2 gene belongs to the Cip/Kip family of CDK inhibitors and has been demonstrated to be a tumor suppressor gene, being inactivated in various types of human cancers. We analyzed the methylation and expression status of p57KIP2 in lung and breast cancers, and in malignant mesotheliomas (MMs). The promoter region of p57KIP2 was determined by methylation-specific PCR (MSP) in samples of lung and breast cancer, and of MM. The expression of the gene in the cell lines was determined by RT-PCR and correlated with the methylation status. Aberrant methylation was detected by MSP in 9 of 27 (33%) and 25 of 78 (32%) lung cancer cell lines and tumors, respectively, 11 of 18 (61%) and 17 of 38 (45%) breast cancer cell lines and tumors, respectively, and 1 of 25 (4%) MM tumors. DNA methylation was detected but rarely in the corresponding non-malignant tissues. In addition, the gene expression was restored in the methylated cell lines following 5-aza-2'-deoxycytidine treatment, confirming that the methylation was indeed responsible for the gene down-regulation. We also examined the relationship between the p57KIP2 methylation status and the clinicopathological features of the primary tumors, and found that there was no relationship between the p57KIP2 methylation status and any of the examined clinicopathological features. In summary, our results demonstrate that p57KIP2 methylation associated with the gene down-regulation is frequently present in lung and breast cancers and plays an important role at the molecular level in the pathogenesis of these cancers.

Adenocarcinoma↗

The detection of extremely rare DNA modifications. Methylation in dam- and hsd- Escherichia coli strains.

DNA methylation in Escherichia coli plays a role in many key cellular processes, including DNA replication, repair, restriction, and transcription. However, several mutant bacterial strains exist which are deficient in DNA methylase activities. Thus, it has been suggested that methylation produced by the dam (DNA adenine methylase) gene is required for the viability of E. coli and that dam- strains still produce low levels of methylation. Current experimental methods are not sensitive enough to detect a few potentially essential methylated sites per genome. Here we describe a method for the detection of N6-methyladenine at specific sites with a sensitivity of one site in more than 10 megabases. We show that methylation produced by both the dam and hsd (EcoK) genes is not required for the growth of E. coli and identify the site of EcoK modification. Minor adaptations of the technique should enable the identification of other rare DNA modifications.

Base Sequence↗

Predicting methylation status of CpG islands in the human brain.

MOTIVATION: Over 50% of human genes contain CpG islands in their 5'-regions. Methylation patterns of CpG islands are involved in tissue-specific gene expression and regulation. Mis-epigenetic silencing associated with aberrant CpG island methylation is one mechanism leading to the loss of tumor suppressor functions in cancer cells. Large-scale experimental detection of DNA methylation is still both labor-intensive and time-consuming. Therefore, it is necessary to develop in silico approaches for predicting methylation status of CpG islands. RESULTS: Based on a recent genome-scale dataset of DNA methylation in human brain tissues, we developed a classifier called MethCGI for predicting methylation status of CpG islands using a support vector machine (SVM). Nucleotide sequence contents as well as transcription factor binding sites (TFBSs) are used as features for the classification. The method achieves specificity of 84.65% and sensitivity of 84.32% on the brain data, and can also correctly predict about two-third of the data from other tissues reported in the MethDB database. AVAILABILITY: An online predictor based on MethCGI is available at http://166.111.201.7/MethCGI.html CONTACT: mzhang@cshl.edu SUPPLEMENTARY INFORMATION: Supplementary data available at Bioinformatics online and http://166.111.201.7/help.html.

Algorithms↗