Literature DB >> 12809678

Analysis of gene expression profiles of gastric normal and cancer tissues by SAGE.

Ji-Yeon Lee1, Eun-Mi Eom, Dae-Sik Kim, Young Mie Ha-Lee, Dong-Hee Lee.   

Abstract

In an attempt to understand the molecular bases of gastric cancer progression, we have analyzed the differentially expressed genes in gastric cancer by SAGE. Four SAGE cDNA tag libraries were constructed from two sets of gastric cancer and normal tissues and 241,127 tags were obtained. By comparing the tags from cancer and normal tissues, 414 differentially expressed tags, representing 383 genes, were identified in cancer tissues (p </= 0.01). Of the 414 tags, 50 tags were previously unidentified and potentially novel genes. Although each gastric cancer tissue revealed more than 200 differentially expressed genes compared to the respective normal tissue, the number of genes with consistent regulation patterns in both cancer tissues was 51: 12 up-regulated and 39 down-regulated genes. The genes that showed consistent regulation patterns included well-known genes such as Trefoil factor 3, RegIV, gastric intrinsic factor, and lactotransferrin as well as a few novel candidates. Interestingly, the expression of several genes, such as osteoglycin, prostate stem cell antigen, and histone deacetylase 3, was variable in the two normal tissues but similar in the cancer tissues. The expression profiles of these genes in normal tissues, possibly due to genetic background, could greatly affect individual sensitivity to cancer development and/or progression. The genes identified in this study will provide useful target genes for diagnosis and molecular treatment of gastric cancer.

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Year:  2003        PMID: 12809678     DOI: 10.1016/s0888-7543(03)00098-3

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  19 in total

1.  Osteoinductive factor is a novel biomarker for the diagnosis of early diabetic nephropathy.

Authors:  Suijun Wang; Yanfang Wang; Ruizhi Zheng; Zhigang Zhao; Yuehua Ma
Journal:  Int J Clin Exp Pathol       Date:  2015-03-01

2.  Transcriptome analysis of human gastric cancer.

Authors:  Jung-Hwa Oh; Jin Ok Yang; Yoonsoo Hahn; Mi-Rang Kim; Sang-Soon Byun; Yeo-Jin Jeon; Jeong-Min Kim; Kyu-Sang Song; Seung-Moo Noh; Sangsoo Kim; Hyang-Sook Yoo; Yong Sung Kim; Nam-Soon Kim
Journal:  Mamm Genome       Date:  2005-12-08       Impact factor: 2.957

3.  Trefoil factor family-3 is associated with aggressive behavior of colon cancer cells.

Authors:  Xianyang Yio; Jie-yu Zhang; Mark Babyatsky; Anli Chen; Jing Lin; Qui-Xiang Fan; J Lawrence Werther; Steven Itzkowitz
Journal:  Clin Exp Metastasis       Date:  2005       Impact factor: 5.150

4.  Quantitative tissue proteomics of esophageal squamous cell carcinoma for novel biomarker discovery.

Authors:  Harsh Pawar; Manoj Kumar Kashyap; Nandini A Sahasrabuddhe; Santosh Renuse; H C Harsha; Praveen Kumar; Jyoti Sharma; Kumaran Kandasamy; Arivusudar Marimuthu; Bipin Nair; Sudha Rajagopalan; Jagadeesha Maharudraiah; Chennagiri Shrinivasamurthy Premalatha; Kariyanakatte Veeraiah Veerendra Kumar; M Vijayakumar; Raghothama Chaerkady; Thotterthodi Subrahmanya Keshava Prasad; Rekha V Kumar; Rekha V Kumar; Akhilesh Pandey
Journal:  Cancer Biol Ther       Date:  2011-09-15       Impact factor: 4.742

5.  Gastric transcription profile of Helicobacter pylori infection in the rhesus macaque.

Authors:  Jennifer L Huff; Lori M Hansen; Jay V Solnick
Journal:  Infect Immun       Date:  2004-09       Impact factor: 3.441

6.  Trefoil factor-3 expression in human colon cancer liver metastasis.

Authors:  Mark Babyatsky; Jing Lin; Xianyang Yio; Anli Chen; Jie-yu Zhang; Yan Zheng; Christina Twyman; Xiuliang Bao; Myron Schwartz; Swan Thung; J Lawrence Werther; Steven Itzkowitz
Journal:  Clin Exp Metastasis       Date:  2008-11-02       Impact factor: 5.150

7.  Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data.

Authors:  Enrico Glaab; Jaume Bacardit; Jonathan M Garibaldi; Natalio Krasnogor
Journal:  PLoS One       Date:  2012-07-11       Impact factor: 3.240

8.  Effect of myeloid differentiation primary response gene 88 on expression profiles of genes during the development and progression of Helicobacter-induced gastric cancer.

Authors:  Ivonne Lozano-Pope; Arnika Sharma; Michael Matthias; Kelly S Doran; Marygorret Obonyo
Journal:  BMC Cancer       Date:  2017-02-15       Impact factor: 4.430

Review 9.  Genetic alteration and gene expression modulation during cancer progression.

Authors:  Cathie Garnis; Timon P H Buys; Wan L Lam
Journal:  Mol Cancer       Date:  2004-03-22       Impact factor: 27.401

10.  Differential protein expression in perfusates from metastasized rat livers.

Authors:  Yang Zhang; Menglin Li; Lilong Wei; Lisi Zhu; Siqi Hu; Shuzhen Wu; Sucan Ma; Youhe Gao
Journal:  Proteome Sci       Date:  2013-07-29       Impact factor: 2.480

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