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Peter W Laird

Publications and source records attributed to Peter W Laird.

At least 19 recordsLinked to original sources
PubMed2006

Epigenetic stem cell signature in cancer.

Embryonic stem cells rely on Polycomb group proteins to reversibly repress genes required for differentiation. We report that stem cell Polycomb group targets are up to 12-fold more likely to have cancer-specific promoter DNA hypermethylation than non-targets, supporting a stem cell origin of cancer in which reversible gene repression is replaced by permanent silencing, locking the cell into a perpetual state of self-renewal and thereby predisposing to subsequent malignant transformation.

Cell Differentiation↗
PubMed2006

Smad3 deficiency promotes tumorigenesis in the distal colon of ApcMin/+ mice.

Colorectal cancer, one of the most common human malignancies in the Western world, is often subdivided based on tumor location in either the distal or proximal colon. Several mouse models have been developed to study human colorectal cancer, but few display this clear distinction between the two colonic locations. By crossing Apc(Min/+) and Smad3 mutant mice, we showed that combined activation of the Wnt pathway and attenuation of the transforming growth factor-beta (TGF-beta) pathway causes high multiplicity and rapid onset of invasive tumorigenesis almost exclusively in the distal colon, closely mimicking the familial adenomatous polyposis (FAP) disease and consisting with distinct colorectal cancer etiologies based on tumor location. Transcriptional profiling revealed higher expression of several TGF-beta activators in the normal distal mucosa than in proximal mucosa, suggesting a stronger reliance on TGF-beta-mediated growth control in the distal than in the proximal colon. Apc(Min/+)Smad3(-/-) mice provide an alternative model to Apc(Min/+) mice to study FAP and distal sporadic colorectal cancer. This model will be useful in dissecting mechanistic and etiologic differences between proximal and distal colonic cancer, whereas the confinement of tumorigenesis to the distal colon offers unique advantages in monitoring tumor progression by in vivo imaging.

Adenomatous Polyposis Coli↗
PubMed2006

Cluster analysis for DNA methylation profiles having a detection threshold.

BACKGROUND: DNA methylation, a molecular feature used to investigate tumor heterogeneity, can be measured on many genomic regions using the MethyLight technology. Due to the combination of the underlying biology of DNA methylation and the MethyLight technology, the measurements, while being generated on a continuous scale, have a large number of 0 values. This suggests that conventional clustering methodology may not perform well on this data. RESULTS: We compare performance of existing methodology (such as k-means) with two novel methods that explicitly allow for the preponderance of values at 0. We also consider how the ability to successfully cluster such data depends upon the number of informative genes for which methylation is measured and the correlation structure of the methylation values for those genes. We show that when data is collected for a sufficient number of genes, our models do improve clustering performance compared to methods, such as k-means, that do not explicitly respect the supposed biological realities of the situation. CONCLUSION: The performance of analysis methods depends upon how well the assumptions of those methods reflect the properties of the data being analyzed. Differing technologies will lead to data with differing properties, and should therefore be analyzed differently. Consequently, it is prudent to give thought to what the properties of the data are likely to be, and which analysis method might therefore be likely to best capture those properties.

Artificial Intelligence↗
PubMed2006

CpG island methylator phenotype underlies sporadic microsatellite instability and is tightly associated with BRAF mutation in colorectal cancer.

Aberrant DNA methylation of CpG islands has been widely observed in human colorectal tumors and is associated with gene silencing when it occurs in promoter areas. A subset of colorectal tumors has an exceptionally high frequency of methylation of some CpG islands, leading to the suggestion of a distinct trait referred to as 'CpG island methylator phenotype', or 'CIMP'. However, the existence of CIMP has been challenged. To resolve this continuing controversy, we conducted a systematic, stepwise screen of 195 CpG island methylation markers using MethyLight technology, involving 295 primary human colorectal tumors and 16,785 separate quantitative analyses. We found that CIMP-positive (CIMP+) tumors convincingly represent a distinct subset, encompassing almost all cases of tumors with BRAF mutation (odds ratio = 203). Sporadic cases of mismatch repair deficiency occur almost exclusively as a consequence of CIMP-associated methylation of MLH1 . We propose a robust new marker panel to classify CIMP+ tumors.

Colorectal Neoplasms↗
PubMed2006

Breast cancer DNA methylation profiles in cancer cells and tumor stroma: association with HER-2/neu status in primary breast cancer.

The HER-2/neu gene is amplified and overexpressed in 20% to 30% of invasive breast carcinomas and is associated with increased metastatic potential and less tamoxifen sensitivity. We generated the DNA methylation profiles of 143 human breast tumors and found significant differences in HER-2/neu expression and DNA methylation of five genes. For three of these five genes [PGR (coding for the progesterone receptor), HSD17B4 (coding for type 4 17-beta-hydroxysteroid dehydrogenase, an enzyme that mainly degrades active 17-beta-estradiol into inactive metabolites), and CDH13 (coding for H-cadherin)] a higher prevalence of DNA methylation in HER-2/neu-positive cancers was confirmed in an independent set of microdissected primary breast cancers. DNA methylation was not only present in cancer cells but also in the tumor stroma fraction. Of the isolated fractions in HER-2/neu-positive versus -negative cancers, 27.1% versus 10.5%, respectively, showed DNA methylation of the five genes (P = 0.011, Fisher's exact test). In Her-2++/+++ breast cancers, HSD17B4 mRNA expression was inversely associated with HSD17B4 methylation (P = 0.04). These data support the view that in addition to HER-2/neu-associated signaling, epigenetic changes in cancer as well as in tumor stroma cells might attribute to the specific biological features of HER-2/neu-positive cancers.

17-Hydroxysteroid Dehydrogenases↗
PubMed2006

Correlation of pathologic features with CpG island methylator phenotype (CIMP) by quantitative DNA methylation analysis in colorectal carcinoma.

Extensive gene promoter methylation in colorectal carcinoma has been termed the CpG island methylator phenotype (CIMP). Previous studies on CIMP used primarily methylation-specific polymerase chain reaction (PCR), which, unfortunately, may detect low levels of methylation that has little or no biological significance. Utilizing quantitative real-time PCR (MethyLight), we measured DNA methylation in a panel of 5 CIMP-specific gene promoters (CACNA1G, CDKN2A (p16), CRABP1, MLH1, and NEUROG1) in 459 colorectal carcinomas obtained from 2 large prospective cohort studies. CIMP was defined as tumors that showed methylation in >or=4/5 promoters. CIMP was significantly associated with the presence of mucinous or signet ring cell morphology, marked Crohn's-like lymphoid reaction, tumor infiltrating lymphocytes, marked peritumoral lymphocytic reaction, tumor necrosis, tumor cell sheeting, and poor differentiation. All these features have previously been associated with microsatellite instability (MSI). Therefore, we divided the 459 colorectal carcinomas into 6 subtypes, namely, MSI-high (MSI-H)/CIMP, MSI-H/non-CIMP, MSI-low (MSI-L)/CIMP, MSI-L/non-CIMP, microsatellite stable/CIMP, and micro satellite sstable/non-CIMP. Compared with MSI-H/non-CIMP, MSI-H/CIMP was associated with marked tumor infiltrating lymphocytes, tumor necrosis, sheeting, and poor differentiation (all P<or=0.05). Compared with MSI-L/non-CIMP, MSI-L/CIMP was associated with tumors that had <50% signet ring cell component, marked tumor infiltrating lymphocytes, and poor differentiation (all P<0.05). In conclusion, several pathologic features that have previously been shown to be associated with MSI are also significantly associated with CIMP. Both MSI and CIMP appear to play a role in the pathogenesis of specific morphologic patterns of colorectal carcinoma.

Cell Differentiation↗
PubMed2006

Modeling exposures for DNA methylation profiles.

We extend the finite mixture model to estimate the association between exposure and latent disease subtype measured by DNA methylation profiles. Estimates from this model are compared with those obtained from the simpler two-phase approach of first clustering the DNA methylation data followed by associating exposure with disease subtype using logistic regression. The two models are fit to data from a study of colorectal adenomas and are compared in a simulation study. Depending on the analytic approach, we obtain different estimates of the odds ratio (OR) and its 95% confidence interval (95% CI) for the association of RBC folate and DNA methylation subtype in colorectal adenomas (OR, 0.31; 95% CI, 0.08-1.26 from the extended finite mixture model; OR, 0.44; 95% CI, 0.15-1.28 from the two-phase approach; n = 58 case subjects). Although our results could be a chance occurrence due to fluctuations from small sample size, we did a simulation study using larger samples and found that differences between the two approaches emerge when there is noise in the cluster analysis. In the naive two-phase approach, the estimate of the OR is biased towards the null, and its SE is underestimated when there is error in the cluster assignment. Estimates from the extended mixture model are unbiased and have the correct SE estimate but may require larger sample sizes for convergence. Thus, when the clusters are not identified with certainty, the extended mixture model is preferred for valid estimation of the OR and CI.

Adenoma↗
PubMed2006

Rapid and quantitative method of allele-specific DNA methylation analysis.

Several biological phenomena depend on differential methylation of chromosomal strands. While understanding the role of these processes requires information on allele-specific methylation, the available methodologies are not quantitative or labor-intensive. We describe a novel, rapid method to quantitate allele-specific DNA methylation based on the combination of bisulfite PCR and Pyrosequencing. In this method, DNA is first treated with sodium bisulfite, which converts cytosine but not 5-methylcytosine to uracil. Genes of interest are subsequently amplified using PCR. Allele-specific methylation can then be determined by pyrosequencing each allele individually using sequencing primers that incorporate single nucleotide polymorphisms (SNPs) that allow differentiation between the two parental alleles. This allele-specific methylation methodology can potentially afford quantitative analyses relevant to the regulation of X chromosome inactivation, allele-specific expression of genes in the immune system, repetitive elements, and genomic imprinting. As an illustration of our new method, we quantitated allele-specific methylation of the differentially methylated region of the H19 gene, which is imprinted. Although we could reliably determine allele-specific methylation with our technique, additional studies will be required to confirm the ability of our assay to measure loss of imprinting.

Alleles↗
PubMed2006

Precision and performance characteristics of bisulfite conversion and real-time PCR (MethyLight) for quantitative DNA methylation analysis.

Assays to measure DNA methylation, which are important in epigenetic research and clinical diagnostics, typically rely on conversion of unmethylated cytosine to uracil by sodium bisulfite. However, no study has comprehensively evaluated the precision and performance characteristics of sodium bisulfite conversion and subsequent quantitative methylation assay. We developed quantitative real-time polymerase chain reaction (MethyLight) to measure percentage of methylated reference (PMR, ie, degree of methylation) for the MGMT, MLH1, and CDKN2A (p16) promoters. To measure the precision of bisulfite conversion, we bisulfite-treated seven different aliquots of DNA from each of four paraffin-embedded colon cancer samples. To assess run-to-run variation, we repeated MethyLight five times. Bisulfite-to-bisulfite coefficient of variation (CV) of PMR ranged from 0.10 to 0.38 (mean, 0.21), and run-to-run CV of PMR ranged from 0.046 to 0.60 (mean, 0.31). Interclass correlation coefficients were 0.74 to 0.84 for the three loci, indicating good reproducibility. DNA mixing study with methylated and unmethylated DNA showed good linearity of the assay. Of 272 colorectal cancers evaluated, most showed PMR either <1 or >10, and promoter methylation (PMR >4) was tightly associated with loss of respective protein expression (P < 10(-16)). In conclusion, sodium bisulfite conversion and quantitative MethyLight assays have good precision and linearity and can be effectively used for high-throughput DNA methylation analysis on paraffin-embedded tissue.

Adaptor Proteins, Signal Transducing↗
PubMed2005

Analysis of repetitive element DNA methylation by MethyLight.

Repetitive elements represent a large portion of the human genome and contain much of the CpG methylation found in normal human postnatal somatic tissues. Loss of DNA methylation in these sequences might account for most of the global hypomethylation that characterizes a large percentage of human cancers that have been studied. There is widespread interest in correlating the genomic 5-methylcytosine content with clinical outcome, dietary history, lifestyle, etc. However, a high-throughput, accurate and easily accessible technique that can be applied even to paraffin-embedded tissue DNA is not yet available. Here, we report the development of quantitative MethyLight assays to determine the levels of methylated and unmethylated repeats, namely, Alu and LINE-1 sequences and the centromeric satellite alpha (Satalpha) and juxtacentromeric satellite 2 (Sat2) DNA sequences. Methylation levels of Alu, Sat2 and LINE-1 repeats were significantly associated with global DNA methylation, as measured by high performance liquid chromatography, and the combined measurements of Alu and Sat2 methylation were highly correlative with global DNA methylation measurements. These MethyLight assays rely only on real-time PCR and provide surrogate markers for global DNA methylation analysis. We also describe a novel design strategy for the development of methylation-independent MethyLight control reactions based on Alu sequences depleted of CpG dinucleotides by evolutionary deamination on one strand. We show that one such Alu-based reaction provides a greatly improved detection of DNA for normalization in MethyLight applications and is less susceptible to normalization errors caused by cancer-associated aneuploidy and copy number changes.

Alu Elements↗
PubMed2005

Sex differential in methylation patterns of selected genes in Singapore Chinese.

To date there have been few reports of a gender difference in methylation levels of genes. When examining the methylation levels of four autosomal genes (ESR1, MTHFR, CALCA and MGMT) in the white blood cells of a random sample of Singapore Chinese Health Study cohort participants (n = 291), we encountered an unexpected gender differential. Using MethyLight technology, we calculated a gene-specific percentage of methylated reference (PMR) value, which quantified the relative level of gene methylation for each study subject (134 males and 157 females). Two summary methylation indices were constructed by assigning gene-specific rank scores. We then used ANCOVA to compare logarithmically transformed individual PMR values and summary methylation indices by age and gender simultaneously. Adjustment was made for plasma homocysteine. For ESR1, for which a large proportion of subjects were negative for methylation, we also used polytomous regression to compare methylation across age and gender. Increasing age and the male gender independently predicted increasing PMR values for CALCA and MGMT. For the MTHFR gene, male gender was associated with higher PMR values (P = 0.002), while age was not (P = 0.75). Neither age nor gender had any statistically significant influence on the PMR values for ESR1 (P = 0.13 and 0.96, respectively). Our data suggest that gender is at least as strong a predictor of methylation level in the four genes under study as age, with males showing higher PMRs.

Age Factors↗
PubMed2005

Cancer epigenetics.

The field of cancer epigenetics is evolving rapidly on several fronts. Advances in our understanding of chromatin structure, histone modification, transcriptional activity and DNA methylation have resulted in an increasingly integrated view of epigenetics. In response to these insights, epigenetic therapy is expanding to include combinations of histone deacetylase inhibitors and DNA methyltransferase inhibitors. Zebularine, an orally administerable DNA methyltransferase inhibitor, has been a very promising recent addition to our arsenal of potentially useful drugs for epigenetic therapy. Aberrant DNA methylation patterns provide three powerful diagnostic applications as classification markers, sensitive detection markers, and risk assessment markers. Classification studies continue to increase in marker complexity, now incorporating microarrays, high-throughput bisulfite genomic sequencing and mass spectrometry, as the field moves to human epigenome projects. Sensitive detection technology has expanded from primarily blood-based cancer detection to include applications on a wide diversity of sample sources and is now also making inroads as a molecular risk assessment tool.

Antineoplastic Agents↗
PubMed2005

Distinct DNA methylation profiles in malignant mesothelioma, lung adenocarcinoma, and non-tumor lung.

DNA methylation markers provide a powerful tool to make diagnoses based on genetic material obtained directly from tumors or from "remote" locations such as sputum, pleural fluid, or serum. In particular when limited cell numbers are available, amplifyable DNA markers can provide a very sensitive tool for cancer detection and classification. Malignant mesothelioma (MM), an aggressive cancer strongly associated with asbestos exposure, can be difficult to distinguish from adenocarcinoma of the lung when limited material is available. In an attempt to identify molecular markers for MM and adenocarcinoma, we examined the DNA methylation status of 14 loci. Analysis of methylation levels in 10 MM and 8 adenocarcinoma cell lines showed that methylation of APC was significantly elevated in adenocarcinoma compared to MM cell lines (P=0.0003), while methylation of CDH1 was higher in MM (P<0.02). Subsequent examination of the methylation status of the 14 loci in 6 MM and 7 adenocarcinoma primary tumors, which yielded similar methylation profiles, supported these observations. Comparison of methylation in MM cell lines and tumors versus non-tumor lung tissue indicated that APC exhibits less methylation in MM (P=0.003) while RASSF1, PGR1, ESR1, and CDH1 show more methylation in MM, the latter two showing the most significant difference between the two tissue types (P< or = 0.0001). Comparison of methylation in adenocarcinoma cell lines and tumors versus non-tumor lung tissue showed methylation of ESR1, PGR1 and RASSF1 to be significantly elevated in adenocarcinoma, with RASSF1 being most significant (P=0.0002). Thus, with the examination of 14 loci, we have identified 5 candidates that show potential for distinguishing between MM, adenocarcinoma and/or non-cancer lung. Our observations support the strong potential of methylation markers as tools for accurate diagnosis of neoplasms in and around the lung.

Adenocarcinoma↗
PubMed2005

The mutagenic potential of duodenoesophageal reflux.

SUMMARY BACKGROUND DATA: Duodenogastric-esophageal reflux disease is directly linked to Barrett's esophagus and to the development of esophageal adenocarcinoma. Despite this link, little is known about the mutagenic potential of refluxed material on the esophageal mucosa. We hypothesize that the reflux of gastric and duodenal content causes mutations in esophageal mucosa in vivo. METHODS: Seven Sprague Dawley/Big Blue F1 lacI transgenic rats underwent esophagoduodenostomy (ED) to surgically create duodeno-gastric-esophageal reflux. Fourteen nonoperated rats served as negative (n = 7) and as positive (n = 7/methyl-N-amyl-nitrosamine [MNAN] intraperitoneally) controls. The animals were killed 16 weeks after operation or injection, the entire esophageal mucosa was harvested, and mutation frequency was determined through standard Big Blue Mutagenesis Assay. RESULTS: Gross esophagitis was evident in all operated animals. The frequency of lacI mutations in esophageal mucosal cells of animals with ED was significantly higher, nearly 1.5-fold, than that of nonoperated animals. Nitrosamine administration resulted in a nearly 20-fold increase of lacI mutation frequency. Thirteen mutations were successfully sequenced, 46% occurred at CpG dinucleotide sites and 61% were either C to T or G to A transitions. CONCLUSIONS: The data provide preliminary evidence of the mutagenic potential of bile reflux on esophageal epithelium. The specific mutations are markedly higher than would be expected by chance and are similar to that found in p53 mutations of human esophageal adenocarcinoma, providing a link to human esophageal cancer.

Adenocarcinoma↗
PubMed2005

Gene-specific methylation and subsequent risk of colorectal adenomas among participants of the polyp prevention trial.

Hypermethylation of tumor suppressor and other regulatory genes is thought to play an important role in colorectal neoplasia and tumorigenesis. This study examined the association between gene methylation status in baseline adenomas and subsequent adenoma recurrence in a randomized dietary intervention study, the Polyp Prevention Trial. The methylation status of four genes [CDKN2A (p16), PTGS2 (COX2), ESR1 (ER-alpha), and PGR(PR)] was determined by MethyLight in 284 baseline adenomas from 196 trial participants. The association of gene methylation with recurrence was determined using logistic regression models. Gene methylation was evaluated as percent of methylated reference, a measure of methylation of each gene relative to control DNA. ESR1methylation status was inversely associated with adenoma recurrence, odds ratio = 0.36 (95% confidence interval, 0.15-0.88; P = 0.02) for the highest compared with the lowest quartile of the ESR1methylation. Further, ESR1 methylation status was inversely associated with the recurrence of multiple adenomas, advanced adenomas, and the recurrence of adenomas in the proximal but not distal bowel. No association between CDKN2A, PTGS2, or PGR methylation and adenoma recurrence was observed. These data suggest that ESR1 methylation may play a role in subsequent adenoma recurrence.

Adenoma↗
PubMed2004

Dnmt1 deficiency leads to enhanced microsatellite instability in mouse embryonic stem cells.

DNA hypomethylation is frequently seen in cancer and imparts genomic instability in mouse models and some tissue culture systems. However, the effects of genomic DNA hypomethylation on mutation rates are still elusive. We have developed a model system to analyze the effects of DNA methyltransferase 1 (Dnmt1) deficiency on DNA mismatch repair (MMR) in mouse embryonic stem (ES) cells. We generated sibling ES cell clones with and without functional Dnmt1 expression, containing a stable reporter gene that allowed us to measure the slippage rate at a mononucleotide repeat. We found that Dnmt1 deficiency led to a 7-fold increase in the microsatellite slippage rate. Interestingly, the region flanking the mononucleotide repeat was unmethylated regardless of Dnmt1 status, suggesting that it is not the local levels of DNA methylation that direct the increase in microsatellite instability (MSI). The enhanced MSI was associated with higher levels of histone H3 acetylation and lower MeCP2 binding at regions near the assayed microsatellite, suggesting that Dnmt1 loss may decrease MMR efficiency by modifying chromatin structure.

Animals↗
PubMed2004

DNA hypomethylation and ovarian cancer biology.

Hypomethylation of some portions of the genome and hypermethylation of others are very frequent in human cancer. The hypomethylation often involves satellite 2 (Sat2) DNA in the juxtacentromeric (centromere-adjacent) region of chromosome 1. In this study, we analyzed methylation in centromeric and juxtacentromeric satellite DNA in 115 ovarian cancers, 26 non-neoplastic ovarian specimens, and various normal somatic tissue standards. We found that hypomethylation of both types of satellite DNA in ovarian samples increased significantly from non-neoplastic toward cancer tissue. Furthermore, strong hypomethylation was significantly more prevalent in tumors of advanced stage or high grade. Importantly, extensive hypomethylation of Sat2 DNA in chromosome 1 was a highly significant marker of poor prognosis (relative risk for relapse, 4.1, and death, 9.4) and more informative than tumor grade or stage. Also, comparing methylation of satellite DNA and 15 5' gene regions, which are often hypermethylated in cancer or implicated in ovarian carcinogenesis, we generally found no positive or negative association between methylation changes in satellite DNA and in the gene regions. However, hypermethylation at two loci, CDH13 (at 16q24) and RNR1 (at 13p12), was correlated strongly with lower levels of Sat2 hypomethylation. The CDH13/Sat2 epigenetic correlation was seen also in breast cancers. We conclude that satellite DNA hypomethylation is an important issue in ovarian carcinogenesis as demonstrated by: (a) an increase from non-neoplastic tissue toward ovarian cancer; (b) an increase within the ovarian cancer group toward advanced grade and stage; and (c) the finding that strong hypomethylation was an independent marker of poor prognosis.

Adult↗