Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Transcription profiling of human chinese gastric cancer samples vs. adjacent samples


ABSTRACT: We used microarrays to detail the global program of gene expression between Chinese gastric cancer and its adjacent noncancer tissues and identified some key differential expression genes in cancer. Gene expression profiling is a valuable tool for identifying differentially expressed genes in studies of gastric cancer. However, it remains difficult to assign biological significance to the vast number of genes. There is an increasing awareness of gene expression profile as an important part of the contextual molecular network at play in cancer initiation and progression. The key pathways or genes might be the target for our clinical curement. Experiment Overall Design: This study analysed the transcriptional profiles commonly activated at different stages of gastric cancers using an integrated approach combining gene expression profiling of 12 adjacent normal/tumor-matched gastric tissues to form a gene regulatory coexpression map. We sought to obtain homogeneous populations of cancer tissues at each TNM stage in order to increase the accurateness of expression profiles.In addition we performed this test in 3 normal tissues in order to get data for further study.

ORGANISM(S): Homo sapiens

SUBMITTER: Zhihai Peng 

PROVIDER: E-GEOD-19826 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Upregulated INHBA expression is associated with poor survival in gastric cancer.

Wang Quan Q   Wen Yu-Gang YG   Li Da-Peng DP   Xia Jun J   Zhou Chong-Zhi CZ   Yan Dong-Wang DW   Tang Hua-Mei HM   Peng Zhi-Hai ZH  

Medical oncology (Northwood, London, England) 20101204 1


Expression microarrays are widely used for investigating the candidate molecular targets in human cancer. While genome-wide expression signatures screened by gene set enrichment analysis (GSEA) were not performed in Chinese gastric cancer (GC). To gain new molecular targets for GC, GSEA analysis was performed. In the present study, GSEA were used to pick out differentially expressed gene sets of our database. Total RNA of paired tissue samples (n = 48) and a tissue microarray containing 132 pair  ...[more]

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