Project description:In this dataset, we include the expression data obtained from gastric cancer tissues and gastric normal tissues to determine the differentially expressed genes in gastric cancer tissues 10 tissues (5 paired of gastric cancer vs.normal tissues) were analysed. We generated the following pairwise comparisons:C1 VS.N1;C2 VS.N2;C3 VS.N3;C4 VS.N4;C5 VS.N5; genes with a fold-change ≥2 were selected

2014-04-16 | E-GEOD-56807 | biostudies-arrayexpress

Differentially expressed genes in normal gastric mucosa and gastric cancer tissues

Project description:Differentially expressed genes in normal gastric mucosa and gastric cancer tissues

| PRJNA487176 | ENA

Characteristics of microRNAs Profile in Five Pairs of Early Gastric Cancer Tissues and Matched Adjacent Normal Mucosa Tissues.

Project description:Gastric cancer is one of the most common malignant tumors. Asia has a high incidence of gastric cancer globally. South Korea, Mongolia, Japan and China are the four countries with the highest incidence of gastric cancer in the world. Gansu province in China has the estimated age-standardized incidence rates and mortality rates by Chinese standard population of 62.34/100,000 and 36.94/100,000, respectively, in 2012, which are much higher than the average level of China (22.06/100,000 and 15.16/100,000) in the same year. As a high incidence area of gastric cancer in China, Wuwei city in Gansu province has the prevalence of gastric cancer almost 5 times higher than the average level nationwide. In this study, the cancer tissues and matched adjacent normal mucosa tissues of 5 patients with early gastric cancers who were treated with ESD in Gansu Wuwei Tumor Hospital and the First Hospital of Lanzhou University were collected. All of the patients are from Gansu, China. MicroRNA array was used to find the differences in microRNAs expression profile between the early gastric cancer tissues and the para-cancer normal tissues. It is expected to explore the reasons of the abnormal high incidence of gastric cancer in Gansu Province, China, from the aspect of microRNAs expression profile characteristics.

2021-07-01 | GSE158315 | GEO

RNA-seq for gastric cancer and normal tissues/cells

Project description:We performed RNA-seq experiments to identify differentially expressed intergenic transcripts between gastric cancer and normal tissues/cells. Three primary cell culture samples from gastric cancer tissues, three gastric cancer cell lines and two normal tissue samples were used for the experiments.

2013-10-10 | E-GEOD-41476 | biostudies-arrayexpress

mRNA expression of gastric cancer and paracancerous tissues

Project description:mRNA expression for gastric cancer and paracancerous tissues

2020-10-11 | GSE158662 | GEO

mRNA expression of gastric cancer and paracancerous tissues

Project description:mRNA expression of gastric cancer and paracancerous tissues

| PRJNA666150 | ENA

Transcriptomic analysis of human gastric cancer and normal epithelial tissues

Project description:Small nucleolar RNAs (snoRNAs) are a highly conserved category of non-coding RNAs that play emerging roles in tumorigenesis and aggressiveness. However, the functions and underlying mechanisms of snoRNAs in regulating gastric cancer progression remain elusive. We identify SNORA37 as a driver of alternative splicing and gastric cancer progression. To explore the expression profiles of snoRNAs, we employed the Illumina HiSeq X Ten as a discovery platform to analyze the transcriptome profiling in three pairs of gastric cancer and corresponding normal epithelial specimens. The results showed 15 differentially expressed snoRNAs in gastric cancer tissues, including 9 up-regulated and 6 down-regulated snoRNAs. Meanwhile, 2204 alternative splicing events were also discovered in gastric cancer tissues compared to those in adjacent normal epithelial tissues. Furthermore, we validated the RNA-seq results by real-time RT-PCR with high identity. Overall, our results provided fundamental information about the transcriptomic changes in human gastric cancer tissues, and these findings will help us understand the pathogenesis of cancer progression.

2025-01-22 | GSE285296 | GEO

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