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Tim Hui-Ming Huang

Publications and source records attributed to Tim Hui-Ming Huang.

13 recordsLinked to original sources

Genetic unmasking of epigenetically silenced tumor suppressor genes in colon cancer cells deficient in DNA methyltransferases.

Hypermethylation associated silencing of the CpG islands of tumor suppressor genes is a common hallmark of human cancer. Here we report a functional search for hypermethylated CpG islands using the colorectal cancer cell line HCT-116, in which two major DNA methyltransferases, DNMT1 and DNMT3b, have been genetically disrupted (DKO cells). Using two molecular screenings for differentially methylated loci [differential methylation hybridization (DMH) and amplification of inter-methylated sites (AIMS)], we found that DKO cells, but not the single DNMT1 or DNMT3b knockouts, have a massive loss of hypermethylated CpG islands that induces the re-activation of the contiguous genes. We have characterized a substantial number of these CpG island associated genes with potentially important roles in tumorigenesis, such as the cadherin member FAT, or the homeobox genes LMX-1 and DUX-4. For other genes whose role in transformation has not been characterized, such as the calcium channel alpha1I or the thromboxane A2 receptor, their re-introduction in DKO cells inhibited colony formation. Thus, our results demonstrate the role of DNMT1 and DNMT3b in CpG island methylation associated silencing and the usefulness of genetic disruption strategies in searching for new hypermethylated loci.

Cadherins↗

Triple analysis of the cancer epigenome: an integrated microarray system for assessing gene expression, DNA methylation, and histone acetylation.

We developed a novel microarray system to assess gene expression, DNA methylation, and histone acetylation in parallel, and to dissect the complex hierarchy of epigenetic changes in cancer. An integrated microarray panel consisting of 1507 short CpG island tags located at the 5'-end regions (including the first exons) was used to assess effects of epigenetic treatments on a human epithelial ovarian cancer cell line. Treatment with methylation (5-aza-2'-deoxycytidine) or deacetylation (trichostatin A) inhibitors alone resulted in up-regulation of 1.9 or 1.1% of the genes analyzed; however, the combined treatment resulted in synergistic reactivation of more genes (10.4%; P < 0.001 versus either treatment alone). On the basis of either primary or secondary responses to the treatments, genes were identified as methylation-dependent or -independent. Synergistic reactivation of the methylation-dependent genes by 5-aza-2'-deoxycytidine plus trichostatin A revealed a functional interaction between methylated promoters and deacetylated histones. Increased expression of some methylation-independent genes was associated with enhanced histone acetylation, but up-regulation of most of the genes identified using this technology was because of events downstream of the epigenetic cascade. We demonstrate proof of principle for using the triple microarray system in analyzing the dynamic relationship between transcription factors and promoter targets in cancer genomes.

Acetylation↗

Epigenetic gene silencing in cancer initiation and progression.

Hypermethylation of CpG islands, an epigenetic event that is not accompanied by changes in DNA sequence, represents an alternative mechanism to deletions or mutations to inactivate tumor suppressor genes. Recent evidence supports the notion that CpG island hypermethylation, by silencing key cancer-related genes, plays a major causal role in cancer. However, a long-standing issue in the field is the sequence of molecular events leading to epigenetic gene silencing. A new model has been proposed that chromatin remodeling, as a result of histone deacetylation and methylation, is the primary event in abrogating transcriptional initiation; subsequently, CpG island hypermethylation establishes a permanent state of gene silencing. Accumulating evidence indicates that CpG island hypermethylation is an early event in cancer development and, in some cases, may precede the neoplastic process. Because of their heritable nature, hypermethylated CpG islands leave 'molecular footprints' in evolving cancer cells and can be used as molecular markers to reconstruct epigenetic progression during tumorigenesis. Furthermore, hypermethylated CpG islands are proving to be useful for molecular classification of different cancer types.

CpG Islands↗

Oligonucleotide-based microarray for DNA methylation analysis: principles and applications.

Gene silencing via promoter CpG island hypermethylation offers tumor cells growth advantages. This epigenetic event is pharmacologically reversible, and uncovering a unique set of methylation-silenced genes in tumor cells can bring a new avenue to cancer treatment. However, high-throughput tools capable of surveying the methylation status of multiple gene promoters are needed for this discovery process. Herein we describe an oligonucleotide-based microarray technique that is both versatile and sensitive in revealing hypermethylation in defined regions of the genome. DNA samples are bisulfite-treated and PCR-amplified to distinguish CpG dinucleotides that are methylated from those that are not. Fluorescently labeled PCR products are hybridized to arrayed oligonucleotides that can discriminate between methylated and unmethylated alleles in regions of interest. Using this technique, two clinical subtypes of non-Hodgkin's lymphomas, mantle cell lymphoma, and grades I/II follicular lymphoma, were further separated based on the differential methylation profiles of several gene promoters. Work is underway in our laboratory to extend the interrogation power of this microarray system in multiple candidate genes. This novel tool, therefore, holds promise to monitor the outcome of various epigenetic therapies on cancer patients.

CpG Islands↗

Methylation target array for rapid analysis of CpG island hypermethylation in multiple tissue genomes.

Hypermethylation of multiple CpG islands is a common event in cancer. To assess the prognostic values of this epigenetic alteration, we developed Methylation Target Array (MTA), derived from the concept of tissue microarray, for simultaneous analysis of DNA hypermethylation in hundreds of tissue genomes. In MTA, linker-ligated CpG island fragments were digested with methylation-sensitive endonucleases and amplified with flanking primers. A panel of 468 MTA amplicons, which represented the whole repertoire of methylated CpG islands in 93 breast tumors, 20 normal breast tissues, and 4 breast cancer cell lines, were arrayed on nylon membrane for probe hybridization. Positive hybridization signals detected in tumor amplicons, but not in normal amplicons, were indicative of aberrant hypermethylation in tumor samples. This is attributed to aberrant sites that were protected from methylation-sensitive restriction and were amplified by PCR in tumor samples, while the same sites were restricted and could not be amplified in normal samples. Hypermethylation frequencies of the 10 genes tested in breast tumors and cancer cell lines were 60% for GPC3, 58% for RASSF1A, 32% for 3OST3B, 30% for HOXA5, 28% for uPA, 25% for WT1, 23% for BRCA1, 9% for DAPK1, and 0% for KL. Furthermore, hypermethylation of 5 to 7 loci of these genes was significantly correlated with hormone receptor status, clinical stages, and ages at diagnosis of the patients analyzed. This novel approach thus provides an additional avenue for assessing clinicopathological consequences of DNA hypermethylation in breast cancer.

Breast Neoplasms↗

Ribosomal DNA methylation in patients with endometrial carcinoma: an independent prognostic marker.

BACKGROUND: Surgery is curative for the majority of patients with endometrial carcinoma: Consequently, the use of adjuvant therapy has been controversial. More effective methods to identify patients who are at risk for recurrence and who would benefit from adjuvant therapy are needed. The objective of this study was to investigate the prognostic significance of ribosomal DNA (rDNA) methylation in patients with endometrial carcinoma. METHODS: rDNA methylation was assessed in 215 endometrial tumors by Southern blot analysis of HpaII-digested DNA using a probe corresponding to the 5.8 and 28S ribosomal subunits. Tumor rDNA methylation status was correlated with patient outcome. RESULTS: The majority of tumors demonstrated high levels of rDNA methylation (rDNA-high; 74%). Both disease free survival and overall survival were significantly worse for patients with low-level rDNA methylation (rDNA-low; P < 0.0001). African-American patients were more likely to have rDNA-low tumors than Caucasian patients (P = 0.002). Among the subpopulation of patients with endometrial carcinoma for whom the use of adjuvant therapy is most controversial (148 women with Stage I-II endometrioid tumors), survival was significantly worse for the patients with rDNA-low tumors (P < 0.0001); and, using multivariate analyses, tumor rDNA level was the only significant prognostic factor for both disease free survival and overall survival (hazard ratios, 11.0 and 26.3, respectively; P < 0.01 for both). CONCLUSIONS: rDNA methylation is an independent prognostic indicator for patients with endometrial carcinoma that may serve to identify women with early-stage disease at who are at high risk for recurrence. Racial differences in DNA methylation may explain the historically observed disparity in survival between African-American patients and Caucasian patients.

Adenocarcinoma, Clear Cell↗

Expressed CpG island sequence tag microarray for dual screening of DNA hypermethylation and gene silencing in cancer cells.

We present a novel concept by using expressed CpG island sequence tags (ECISTs)for dual analysis of DNA methylation and gene expression in cancer cells. ECISTs are present in the genome and are DNA fragments expected to be located in the promoter and first exon region of genes. Their GC-rich segments can be used for screening hypermethylated CpG sites in cancer cells, and their exon-containing portions can be used for measuring levels of the corresponding transcripts. A total of 1162 loci met the criteria of ECISTs from an initial screening of 7776 CpG island tags. This ECIST panel was used to analyze the breast cancer cell line MDA-MB-231, which was treated with a demethylating agent. Microarray profile analysis identified 30 methylation-silenced genes, the expression of which could be directly reactivated by demethylation. An additional group of 96 up-regulated genes was also identified but appeared to be downstream from this epigenetic cascade. Thus, this study shows that the ECIST microarray can be used to differentiate the primary and secondary causes of demethylation and provides an effective tool to elucidate the mechanisms of aberrant DNA methylation in cancer.

25-Hydroxyvitamin D3 1-alpha-Hydroxylase↗

Isolating human transcription factor targets by coupling chromatin immunoprecipitation and CpG island microarray analysis.

Previously, identification of promoters regulated by mammalian transcription factors has relied upon overexpression studies. Here we present the identification of a large set of promoters that are bound by E2F in physiological conditions. Probing a human CpG microarray with chromatin immunoprecipitated using an antibody to E2F4, we have identified 68 unique target loci; 15% are bidirectional promoters and 25% recruit E2F via a mechanism distinct from the defined consensus site. Interestingly, although E2F has been shown previously to regulate genes involved in cell cycle progression, many of the new E2F target genes encode proteins involved in DNA repair or recombination. We suggest that human CpG microarrays, in combination with chromatin immunoprecipitation, will allow rapid identification of target promoters for many mammalian transcription factors.

Base Sequence↗

Genistein alters methylation patterns in mice.

In this study we examine the effect of the phytoestrogen genistein on DNA methylation. DNA methylation is thought to inhibit transcription of genes by regulating alterations in chromatin structure. Estrogenic compounds have been reported to regulate DNA methylation in a small number of studies. Additionally, phytoestrogens are believed to affect progression of some human diseases, such as estrogen-dependent cancers, osteoporosis and cardiovascular disease. Specifically, our working hypothesis is that certain soy phytoestrogens, such as genistein, may be involved in preventing the development of certain prostate and mammary cancers by maintaining a protective DNA methylation profile. The objective of the present study is to use mouse differential methylation hybridization (DMH) arrays to test for changes in the methylation status of the cytosine guanine dinucleotide (CpG) islands in the mouse genome by examining how these methylation patterns are affected by genistein. Male mice were fed a casein-based diet (control) or the same diet containing 300 mg genistein/kg according to one of four regimens: control diet for 4 wk, genistein diet for 4 wk, control diet for 2 wk followed by genistein diet for 2 wk and genistein diet for 2 wk followed by control diet for 2 wk. DNA from liver, brain and prostate were then screened with DMH arrays. Clones with methylation differences were sequenced and compared with known sequences. In conclusion, consumption of genistein diet was positively correlated with changes in prostate DNA methylation at CpG islands of specific mouse genes.

Animals↗

Applications of CpG island microarrays for high-throughput analysis of DNA methylation.

Differential methylation hybridization (DMH) is a high-throughput microarray technique designed to identify changes in DNA methylation patterns commonly observed in cancer and other disease states. The DMH methodology comprises three fundamental components: the arraying of CpG island clones on glass slides, the preparation of the sample amplicons under investigation, and the hybridization of amplicon targets onto the CpG island microarray. Herein, we outline the DMH protocol and illustrate its utility and the validation approaches used in analyzing the hypermethylation profile of breast tumor and normal samples.

CpG Islands↗

Methylation-specific oligonucleotide microarray: a new potential for high-throughput methylation analysis.

Oligonucleotide microarray-based hybridization is an emerging technology for genome-wide detection of DNA variations. We have extended this principle and developed a novel approach, called methylation-specific oligonucleotide (MSO) microarray, for detecting changes of DNA methylation in cancer. The method uses bisulfite-modified DNA as a template for PCR amplification, resulting in conversion of unmethylated cytosine, but not methylated cytosine, into thymine within CpG islands of interest. The amplified product, therefore, may contain a pool of DNA fragments with altered nucleotide sequences due to differential methylation status. A test sample is hybridized to a set of oligonucleotide (19-23 nucleotides in length) arrays that discriminate methylated and unmethylated cytosine at specific nucleotide positions, and quantitative differences in hybridization are determined by fluorescence analysis. A unique control system is also implemented to test the accuracy and reproducibility of oligonucleotides designed for microarray hybridization. This MSO microarray was applied to map methylated CpG sites within the human estrogen receptor alpha (ERalpha) gene CpG island in breast cancer cell lines, normal fibroblasts, breast tumors, and normal controls. Methylation patterns of the breast cancer cell lines, determined by MSO microarray, were further validated by bisulfite nucleotide sequencing (P <0.001). This proof-of-principle study shows that MSO microarray is a promising technique for mapping methylation changes in multiple CpG island loci and for generating epigenetic profiles in cancer.

Base Sequence↗

Methylation microarray analysis of late-stage ovarian carcinomas distinguishes progression-free survival in patients and identifies candidate epigenetic markers.

PURPOSE: The purpose of this study was to profile methylation alterations of CpG islands in ovarian tumors and to identify candidate markers for diagnosis and prognosis of the disease. EXPERIMENTAL DESIGN: A global analysis of DNA methylation using a novel microarray approach called differential methylation hybridization was performed on 19 patients with stage III and IV ovarian carcinomas. RESULTS: Hierarchical clustering identified two groups of patients with distinct methylation profiles. Tumors from group 1 contained high levels of concurrent methylation, whereas group 2 tumors had lower tumor methylation levels. The duration of progression-free survival after chemotherapy was significantly shorter for patients in group 1 compared with group 2 (P < 0.001). Differential methylation in tumors was independently confirmed by methylation-specific PCR. CONCLUSIONS: The data suggest that a higher degree of CpG island methylation is associated with early disease recurrence after chemotherapy. The differential methylation hybridization assay also identified a select group of CpG island loci that are potentially useful as epigenetic markers for predicting treatment outcome in ovarian cancer patients.

Biomarkers, Tumor↗