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Identification of Differentially-expressed Genes in Intestinal Gastric Cancer by Microarray Analysis

Gastric cancer (GC) is one of the most frequent malignant tumors. In order to systematically characterize the cellular and molecular mechanisms of intestinal GC development, in this study, we used 22 K oligonucleotide microarrays and bioinformatics analysis to evaluate the gene expression profiles o...

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Autores principales: Zang, Shizhu, Guo, Ruifang, Xing, Rui, Zhang, Liang, Li, Wenmei, Zhao, Min, Fang, Jingyuan, Hu, Fulian, Kang, Bin, Ren, Yonghong, Zhuang, Yonglong, Liu, Siqi, Wang, Rong, Li, Xianghong, Yu, Yingyan, Cheng, Jing, Lu, Youyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4411479/
https://www.ncbi.nlm.nih.gov/pubmed/25500430
http://dx.doi.org/10.1016/j.gpb.2014.09.004
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author Zang, Shizhu
Guo, Ruifang
Xing, Rui
Zhang, Liang
Li, Wenmei
Zhao, Min
Fang, Jingyuan
Hu, Fulian
Kang, Bin
Ren, Yonghong
Zhuang, Yonglong
Liu, Siqi
Wang, Rong
Li, Xianghong
Yu, Yingyan
Cheng, Jing
Lu, Youyong
author_facet Zang, Shizhu
Guo, Ruifang
Xing, Rui
Zhang, Liang
Li, Wenmei
Zhao, Min
Fang, Jingyuan
Hu, Fulian
Kang, Bin
Ren, Yonghong
Zhuang, Yonglong
Liu, Siqi
Wang, Rong
Li, Xianghong
Yu, Yingyan
Cheng, Jing
Lu, Youyong
author_sort Zang, Shizhu
collection PubMed
description Gastric cancer (GC) is one of the most frequent malignant tumors. In order to systematically characterize the cellular and molecular mechanisms of intestinal GC development, in this study, we used 22 K oligonucleotide microarrays and bioinformatics analysis to evaluate the gene expression profiles of GC in 45 tissue samples, including 20 intestinal GC tissue samples, 20 normal appearing tissues (NATs) adjacent to tumors and 5 noncancerous gastric mucosa tissue samples. These profiles allowed us to explore the transcriptional characteristics of GC and determine the change patterns in gene expression that may be of clinical significance. 1519 and 1255 differentially-expressed genes (DEGs) were identified in intestinal GC tissues and NATs, respectively, as determined by Bayesian analysis (P < 0.001). These genes were associated with diverse functions such as mucosa secretion, metabolism, proliferation, signaling and development, which occur at different stages of GC development.
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spelling pubmed-44114792015-05-06 Identification of Differentially-expressed Genes in Intestinal Gastric Cancer by Microarray Analysis Zang, Shizhu Guo, Ruifang Xing, Rui Zhang, Liang Li, Wenmei Zhao, Min Fang, Jingyuan Hu, Fulian Kang, Bin Ren, Yonghong Zhuang, Yonglong Liu, Siqi Wang, Rong Li, Xianghong Yu, Yingyan Cheng, Jing Lu, Youyong Genomics Proteomics Bioinformatics Original Research Gastric cancer (GC) is one of the most frequent malignant tumors. In order to systematically characterize the cellular and molecular mechanisms of intestinal GC development, in this study, we used 22 K oligonucleotide microarrays and bioinformatics analysis to evaluate the gene expression profiles of GC in 45 tissue samples, including 20 intestinal GC tissue samples, 20 normal appearing tissues (NATs) adjacent to tumors and 5 noncancerous gastric mucosa tissue samples. These profiles allowed us to explore the transcriptional characteristics of GC and determine the change patterns in gene expression that may be of clinical significance. 1519 and 1255 differentially-expressed genes (DEGs) were identified in intestinal GC tissues and NATs, respectively, as determined by Bayesian analysis (P < 0.001). These genes were associated with diverse functions such as mucosa secretion, metabolism, proliferation, signaling and development, which occur at different stages of GC development. Elsevier 2014-12 2014-12-11 /pmc/articles/PMC4411479/ /pubmed/25500430 http://dx.doi.org/10.1016/j.gpb.2014.09.004 Text en © 2014 The Authors. Production and hosting by Elsevier B.V. on behalf of Beijing Institute of Genomics, Chinese Academy of Sciences and Genetics Society of China. http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
spellingShingle Original Research
Zang, Shizhu
Guo, Ruifang
Xing, Rui
Zhang, Liang
Li, Wenmei
Zhao, Min
Fang, Jingyuan
Hu, Fulian
Kang, Bin
Ren, Yonghong
Zhuang, Yonglong
Liu, Siqi
Wang, Rong
Li, Xianghong
Yu, Yingyan
Cheng, Jing
Lu, Youyong
Identification of Differentially-expressed Genes in Intestinal Gastric Cancer by Microarray Analysis
title Identification of Differentially-expressed Genes in Intestinal Gastric Cancer by Microarray Analysis
title_full Identification of Differentially-expressed Genes in Intestinal Gastric Cancer by Microarray Analysis
title_fullStr Identification of Differentially-expressed Genes in Intestinal Gastric Cancer by Microarray Analysis
title_full_unstemmed Identification of Differentially-expressed Genes in Intestinal Gastric Cancer by Microarray Analysis
title_short Identification of Differentially-expressed Genes in Intestinal Gastric Cancer by Microarray Analysis
title_sort identification of differentially-expressed genes in intestinal gastric cancer by microarray analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4411479/
https://www.ncbi.nlm.nih.gov/pubmed/25500430
http://dx.doi.org/10.1016/j.gpb.2014.09.004
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