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Stephen J Meltzer

Publications and source records attributed to Stephen J Meltzer.

44 records · Page 3Linked to original sources
PubMed2002

Aberrant methylation of the CDH13 (H-cadherin) promoter region in colorectal cancers and adenomas.

Expression of the cadherin family member CDH13 (H-cadherin) is reduced in several human tumors, and it has been hypothesized that this gene functions as a tumor suppressor gene. Previously, we reported that the 5' region of CDH13 is frequently methylated in breast and lung cancers. Here we confirmed the promoter activity of 5' region of CDH13 by luciferase assay and examined its aberrant methylation in colorectal cancers, cell lines, and adenomas. Methylation status was investigated by methylation-specific PCR (MSP) and by bisulfite DNA sequencing of cloned DNA of PCR amplicons. In cell lines, we examined the correlation between methylation status and mRNA expression by reverse transcription-PCR. Aberrant methylation of CDH13 was present in 7 of 13 (54%) cell lines, and expression was absent in 6 of 13 (46%) cell lines. CDH13 expression was present in six cell lines that showed only the unmethylated form by MSP and in one cell line that showed both the methylated and unmethylated forms. Treatment with 5-aza-2'-deoxycytidine restored CDH13 expression in methylated cell lines. In surgically resected samples, 17 of 35 (49%) cases of primary colorectal cancer, 2 of 33 (6%) cases of corresponding nonmalignant colorectal mucosa, and 8 of 19 (42%) adenomas were methylated. Sequence data after bisulfite treatment indicated that primary cancers and two cell lines with loss of expression were highly methylated compared with nonmalignant colorectal epithelial cells, especially at the attachment sites of primers for MSP, although there was heterogeneity in methylation status. Our results suggest that CDH13 expression is frequently silenced by aberrant methylation in colorectal cancers and adenomas and that methylation of CDH13 commences at an early stage of multistep colorectal tumorigenesis.

Adenoma↗
PubMed2002

Artificial neural networks and gene filtering distinguish between global gene expression profiles of Barrett's esophagus and esophageal cancer.

cDNAmicroarrays, combined with bioinformatics analyses, are becomingincreasingly used in current medical research. Existing analytic methods,particularly those that are unsupervised, often have difficulty recognizing subtle differences among predefined subgroups. In contrast, supervised methods, such as Artificial Neural Networks (ANNs), are able to recognize subtly different biological entities. We applied ANNs in a proof-of-principle study of cDNA microarray data in esophageal cancer (CA) and premalignancy. cDNA microarrays, each containing 8064 clones, were hybridized to RNAs from 22 esophageal lesions, including 14 Barrett's esophagus (BA) metaplasias and 8 esophageal carcinomas (3 squamous cell carcinomas and 5 adenocarcinomas). Scanned cDNA microarray data were analyzed using the bioinformatics software Cluster/TreeView, Significance Analysis of Microarrays (SAM), and ANNs. Cluster analysis based on all 8064 clones on the microarrays was unable to correctly distinguish BA specimens from CA specimens. SAM then selected 160 differentially expressed genes between Barrett's and cancer. Cluster analysis based on this reduced set still misclassified 2 Barrett's as cancers. The ANN was trained on 12 samples and tested against the remaining 10 samples. Using the 160 selected genes, the ANN correctly diagnosed all 10 samples in the test set. Finally, the 160 genes selected by SAM may merit further study as biomarkers of neoplastic progression in the esophagus, as well as in elucidating pathological mechanisms underlying BA and CA.

Adenocarcinoma↗
PubMed2002

Hypermethylation of the p14(ARF) gene in ulcerative colitis-associated colorectal carcinogenesis.

The p14(ARF) protein directly inhibits the MDM-2 oncoprotein, which mediates degradation of the p53 protein. It has been shown that p14(ARF) expression is frequently down-regulated by p14(ARF) gene hypermethylation in colorectal cancer. To determine whether p14(ARF) inactivation was involved in ulcerative colitis (UC)-associated carcinogenesis, the frequency and timing of p14(ARF) methylation was investigated in four different histological stages of UC-associated carcinogenesis. Methylation-specific PCR and bisulfite sequencing were used to determine the prevalence of p14(ARF) gene methylation. p14(ARF) methylation was observed in 19 of 38 (50%) adenocarcinomas, 4 of 12 (33%) dysplasias, and 3 of the 5 (60%) nonneoplastic UC mucosae. In contrast, 3 of 40 (3.7%) normal tissues showed p14(ARF) methylation (chi(2) test: P = 0.0003). Bisulfite sequencing was used to analyze 28 CpGs of p14(ARF) gene in 20 samples. The number of methylated CpGs ranged from 0 to 4, 0 to 20, and 0 to 28 in the normal, dysplastic, and carcinomatous samples, respectively (Kruskall-Wallis test: P = 0.0005). Densely methylated alleles were detected only in carcinomas by bisulfite sequencing. In conclusion, our data suggest that methylation of p14(ARF) is a relatively common early event in UC-associated carcinogenesis. p14(ARF) offers potential as a biomarker for the early detection of cancer or dysplasia in UC. Finally, analyses of p14(ARF) methylation in other organs should explore not only frank cancers but other premalignant lesions.

Base Sequence↗
PubMed2002

Activation of the esophagin promoter during esophageal epithelial cell differentiation.

Esophagin is a member of the small proline-rich protein family of cell envelope precursor proteins, which are expressed during squamous cell differentiation. Esophagin is expressed at high levels in normal esophageal epithelium, but its expression is absent from esophageal squamous cell carcinomas and adenocarcinomas. Moreover, loss of esophagin expression is present in areas of dysplasia or normal mucosa adjacent to carcinomas, suggesting that absence of esophagin may constitute a harbinger of early esophageal malignant transformation. A greater understanding of transcriptional control of esophagin may provide valuable insights into esophageal malignancy. Therefore, this study was undertaken in order to isolate and carry out initial characterization of a functional promoter for esophagin. A genomic clone containing esophagin was isolated and sequenced, including 2.7 kb of the esophagin promoter region. Esophagin expression was studied in response to various treatments of primary cultured human esophageal epithelial cells and squamous cell carcinoma cell lines. Calcium was the strongest inducer of the endogenous esophagin promoter, with induction occurring at 12-72 hours. In primary cultured esophageal epithelial cells, a region spanning 116 bp upstream of the transcriptional start site to 45 bp downstream was sufficient to direct low, basal, in vitro esophagin expression. However, responsiveness of primary esophageal cells to calcium required inclusion of promoter elements 1688 bp upstream of the transcriptional start site. Site-directed mutagenesis studies suggested a putative role for C/EBP-beta, OCT-1, and OCT-3 transcription factor binding sites in the minimal promoter region. In conjunction with published human in vivo studies, these data support the hypothesis that esophagin is a biomarker of esophageal squamous cell differentiation and provide an in vitro model to evaluate regulatory factors involved in this differentiation process.

Epithelium↗
PubMed2002

Analysis of genetic and epigenetic alterations of the PTEN gene in gastric cancer.

The PTEN tumor suppressor gene on 10q23.3, responsible for the Cowden and Bannayan-Zonana syndromes, encodes a dual-specificity phosphatase able to dephosphorylate both tyrosine phosphate and serine/threonine phosphate residues. Mutational inactivation of PTEN has been reported in various malignancies, including endometrial cancers, ovarian cancers, and glioblastomas. In this study, we investigated PTEN gene mutations in 10 gastric cancer cell lines and 58 primary gastric cancers by polymerase chain reaction single strand conformation polymorphism (PCR-SSCP). Hypermethylation of promoter region CpG islands, an alternative mechanism of gene inactivation to coding region mutations, was also evaluated by methylation specific PCR (MSP). Only one (1.7%) of the 58 primary tumors carried a somatic 5-bp deletion in intron 7 of PTEN, which did not alter the mRNA sequence, and no mutations were detected in any of the cell lines. Similar levels of PTEN mRNA expression were observed in all cell lines and primary tumors studied by RT-PCR, and PTEN promoter CpG islands remained unmethylated. Therefore, we conclude that PTEN does not participate in gastric carcinogenesis as a tumor suppressor gene.

Adenocarcinoma↗
PubMed2002

Pharmacologic unmasking of epigenetically silenced tumor suppressor genes in esophageal squamous cell carcinoma.

We performed a comprehensive survey of commonly inactivated tumor suppressor genes in esophageal squamous cell carcinoma (ESCC) based on functional reactivation of epigenetically silenced tumor suppressor genes by 5-aza-2'-deoxycytidine and trichostatin A using microarrays containing 12599 genes. Among 58 genes identified by this approach, 44 (76%) harbored dense CpG islands in the promoter regions. Thirteen of twenty-two tested gene promoters were methylated in cell lines, and ten in primary ESCC accompanied by silencing at the mRNA level. Potent growth suppressive activity of three genes including CRIP-1, Apolipoprotein D, and Neuromedin U in ESCC cells was demonstrated by colony focus assays. Pharmacologic reversal of epigenetic silencing is a powerful approach for comprehensive identification of tumor suppressor genes in human cancers.

Azacitidine↗
PubMed2002

Artificial neural networks distinguish among subtypes of neoplastic colorectal lesions.

BACKGROUND & AIMS: There is a subtle distinction between sporadic colorectal adenomas and cancers (SAC) and inflammatory bowel disease (IBD)-associated dysplasias and cancers. However, this distinction is clinically important because sporadic adenomas are usually managed by polypectomy alone, whereas IBD-related high-grade dysplasias mandate subtotal colectomy. The current study evaluated the ability of artificial neural networks (ANNs) based on complementary DNA (cDNA) microarray data to discriminate between these 2 types of colorectal lesions. METHODS: We hybridized cDNA microarrays, each containing 8064 cDNA clones, to RNAs derived from 39 colorectal neoplastic specimens. Hierarchical clustering was performed, and an ANN was constructed and trained on a set of 5 IBD-related dysplasia or cancer (IBDNs) and 22 SACs. RESULTS: Hierarchical clustering based on all 8064 clones failed to correctly categorize the SACs and IBDNs. However, the ANN correctly diagnosed 12 of 12 blinded samples in a test set (3 IBDNs and 9 SACs). Furthermore, using an iterative process based on the computer programs GeneFinder, Cluster, and MATLAB, we reduced the number of clones used for diagnosis from 8064 to 97. Even with this reduced clone set, the ANN retained its capacity for correct diagnosis. Moreover, cluster analysis performed with these 97 clones now separated the 2 types of lesions. CONCLUSIONS: Our results suggest that ANNs have the potential to discriminate among subtly different clinical entities, such as IBDNs and SACs, as well as to identify gene subsets having the power to make these diagnostic distinctions.

Adenoma↗