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PLA2G2A and human gastric cancers

ABSTRACT: We analyzed gene expression patterns in human gastric cancers by using cDNA microarrays representing approximately 30,300 genes. Expression of PLA2G2A, a gene previously implicated as a modifier of the Apc(Min/+) (multiple intestinal neoplasia 1) mutant phenotype in the mouse, was significantly correlated with patient survival. We confirmed this observation in an independent set of patient samples by using quantitative RT-PCR. Beyond its potential diagnostic and prognostic significance, this result suggests the intriguing possibility that the activity of PLA2G2A may suppress progression or metastasis of human gastric cancer. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set

ORGANISM(S): Homo sapiens

PROVIDER: GSE4007 | GEO | 2006/01/11

SECONDARY ACCESSION(S): PRJNA95227

REPOSITORIES: GEO

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PLA2G2A and human gastric cancers

Project description:We analyzed gene expression patterns in human gastric cancers by using cDNA microarrays representing approximately 30,300 genes. Expression of PLA2G2A, a gene previously implicated as a modifier of the Apc(Min/+) (multiple intestinal neoplasia 1) mutant phenotype in the mouse, was significantly correlated with patient survival. We confirmed this observation in an independent set of patient samples by using quantitative RT-PCR. Beyond its potential diagnostic and prognostic significance, this result suggests the intriguing possibility that the activity of PLA2G2A may suppress progression or metastasis of human gastric cancer. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set Using regression correlation

2006-01-10 | E-GEOD-4007 | biostudies-arrayexpress

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Homo sapiens

Project description:PLA2G2A and human gastric cancers

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Array CGH of Mexican Patient Isolates and BCS100 Strain

Project description:Array CGH of human H. pylori isolates from natrually infected Mexican patients and BCS-100 strain used for experimental infection of humans which is labeled as OVX-34 in this sample set(Graham et al., 2004, Gut, 53:1235-1243). Each Mexican isolate has a three digit number indicating the patient, a letter indicating biopsy site location and number indicating single colony clone number. Patient 249,259 and 251 are adults and patient 291,293,612 and 653 are children. Multiple single clonies were isolated from 2-4 gastric biopsy sites (a- antrum, c-corpus, f- fundus, i-incisura angularis). Genomic DNA prepared from each experimental strain (500 ng) was labeled with Cy5 (red channel) and co-hybridized with an equimolar mixture of genomic DNA from the reference strains 26659 and J99 (500 ng). Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set Computed

2007-08-08 | E-GEOD-7618 | biostudies-arrayexpress

Transcription profiling of human gastric cancers, cell lines and controls

Project description:This SuperSeries is composed of the following subset Series:; GSE15455: GEMINI (Gastric Encyclopedia of Molecular Interactions and Nodes for Intervention) Phases A-C; GSE15456: Primary Gastric Cancer Expression Profiles (UK Patient Cohort); GSE15459: Gastric Cancer Project '08 (Singapore Patient Cohort); GSE15537: GEMINI (Gastric Encyclopedia of Molecular Interactions and Nodes for Intervention) Phases A-C, normal skin fibroblasts Experiment Overall Design: Refer to individual Series

2009-04-10 | E-GEOD-15460 | biostudies-arrayexpress

Ovarian cancers

Project description:Schaner M., et al.; Mol Biol Cell. 2003 Nov;14(11):4376-86. Figure 1 Unsupervised hierarchical clustering of ovarian cell lines and ovarian cancers. Cell lines were not co-clustered with the tumor specimens, because these cell lines have a very prominent proliferation cluster (Perou et al., 1999; Ross et al., 2000) that significantly influences the clustering of the tumor samples if the two sample sets are not analyzed separately. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set

2006-02-25 | GSE4198 | GEO

Gene expression patterns in human liver cancers

Project description:All the array experiments published in "Gene expression patterns in human liver cancers" by Chen X, et al. Hepatocellular carcinoma (HCC) is a leading cause of death worldwide. Using cDNA microarrays to characterize patterns of gene expression in HCC, we found consistent differences between the expression patterns in HCC compared with those seen in nontumor liver tissues. The expression patterns in HCC were also readily distinguished from those associated with tumors metastatic to liver. The global gene expression patterns intrinsic to each tumor were sufficiently distinctive that multiple tumor nodules from the same patient could usually be recognized and distinguished from all the others in the large sample set on the basis of their gene expression patterns alone. The distinctive gene expression patterns are characteristic of the tumors and not the patient; the expression programs seen in clonally independent tumor nodules in the same patient were no more similar than those in tumors from different patients. Moreover, clonally related tumor masses that showed distinct expression profiles were also distinguished by genotypic differences. Some features of the gene expression patterns were associated with specific phenotypic and genotypic characteristics of the tumors, including growth rate, vascular invasion, and p53 overexpression. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set

2005-10-25 | GSE3500 | GEO

Hyperinfectivity study

Project description:Hyperinfectivity study. A=patient A, B=patient B, C=patient C, stationary phase=stationary phase vibrio for comparison, and numbers represent technical replicates of the denoted sample. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set

2005-08-11 | GSE3104 | GEO

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Project description:To investigated the molecular distinction and functional correlation among different histopathological types of gastric neoplasia, the whole genome expression profiling of gastric early-stage carcinoma(EGC) and high-grade and low-grade intraepithelial neoplasia (HGIN and LGIN) were explored. This research will provide biological evidence for the clinical application in different gastric early-stage neoplasia.

2017-08-29 | GSE55696 | GEO

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