Project description:This SuperSeries is composed of the following subset Series: GSE33335: Expression data from gastric tissues: Cancer Samples vs. Matched Adjacent Noncancerous Samples GSE33428: Copy number variation profiling of gastric tissues: Cancer Samples vs. Matched Adjacent Noncancerous Samples Refer to individual Series
Project description:Copy number variation profiling of gastric tissues comparing gastric cancer tissues with matched adjacent noncancerous tissues. Goal was to determine the effects of chromosomal imbalances on gene expression and carcinogenesis or progression. 27 pairs of gastric tissues: gastric cancer tissues vs. matched adjacent noncancerous tissues.
Project description:To elucidate gene expression associated with copy number changes, we performed a genome-wide copy number and expression microarray analysis of 25 pairs of gastric tissues. 25 pairs of gastric tissues: gastric cancer tissues vs. matched adjacent noncancerous tissues.
Project description:Copy number variation profiling of gastric tissues comparing gastric cancer tissues with matched adjacent noncancerous tissues. Goal was to determine the effects of chromosomal imbalances on gene expression and carcinogenesis or progression.
Project description:We implemented lncRNA microarray analysis in 5 paired gastric cancer tissues and adjacent noncancerous tissues to identify differential expression of lncRNAs and mRNAs in gastric cancer.
Project description:Total RNA was extracted from human gastric cancer tissues (n=4) and matched adjacent normal tissues (n=4) . RNA samples were analyzed by RNA sequencing based on the manufacturer’s protocols. Briefly, Illumina HiSeq 4000 platform was used to sequence the RNA samples for the subsequent generation of raw data. R package was utilized to select lncRNAs with significantly differential expression based on fold change >2 or <1/2, p value <0.05 between human gastric cancer tissues and matched adjacent normal tissues, and the top 10 upregulated lncRNAs were selected for further study.
Project description:To gain molecular understanding of carcinogenesis, progression, and diversity of gastric cancer, 22 primary human advanced gastric cancer tissues and 8 noncancerous gastric tissues were analyzed by high-density oligonucleotide microarray in this study. Based on expression analysis of approximately 6800 genes, a two-way clustering algorithm successfully distinguished cancer tissues from noncancerous tissues. Subsequently, genes that were differentially expressed in cancer and noncancerous tissues were identified; 162 and 129 genes were highly expressed (P < 0.05) >2.5-fold in cancer tissues and noncancerous tissues, respectively. In cancer tissues, genes related to cell cycle, growth factor, cell motility, cell adhesion, and matrix remodeling were highly expressed. In noncancerous tissues, genes related to gastrointestinal-specific function and immune response were highly expressed. Furthermore, we identified several genes associated with lymph node metastasis including Oct-2 or histological types including Liver-Intestine Cadherin. These results provide not only a new molecular basis for understanding biological properties of gastric cancer, but also useful resources for future development of therapeutic targets and diagnostic markers for gastric cancer. Keywords: other
