Project description:Gastric cancers account for the fourth most frequent cancer death worldwide. Although many differential gene expression profiles are reported for gastric cancers, their variation at the post-transcriptional level has not been provided yet. In this study, we compared the gene expressions of normal stomach vs. stomach cancer in an exon-wise manner and compared alternatively spliced transcripts. The RNA from normal and cancer tissues of gastric cancer patients were subjected to Exon 1.0 ST microarrays. Transcriptome analysis of RNAs from normal and cancer tissues of human stomach by exon array. We analyzed 30 pairs of normal-cancer stomach tissues using the Affymetrix Human Exon 1.0 ST platform. Array data was processed by the Affymetrix Exon Array Computational Tool.
Project description:Gastric cancers account for the fourth most frequent cancer death worldwide. Although many differential gene expression profiles are reported for gastric cancers, their variation at the post-transcriptional level has not been provided yet. In this study, we compared the gene expressions of normal stomach vs. stomach cancer in an exon-wise manner and compared alternatively spliced transcripts. The RNA from normal and cancer tissues of gastric cancer patients were subjected to Exon 1.0 ST microarrays.
Project description:MicroRNA (miRNA) expression profiles for gastric cancers were examined to investigate the miRNA involvement in stomach carcinogenesis. miRNA microarray analysis identified statistical unique profiles, which could discriminate stomach cancers from noncancerous stomach tissues.
Project description:Gene expression profiling of apparently normal gastric tissue (obtained from patients undergoing gastric surgery for Non-gastric cancers), paired normals (obtained from the same stomach as the gastric cancer but confirmed by frozen section not to harbour any tumour cells) and gastric cancer, with an intent to identify genes involved in the malignant transformation of normal gastric mucosa and to identify genes which can be used as biomarkers for early diagnosis and potential targets for treatment Identification of novel prognostic markers using microarray gene expression studies. Keywords: Patient tissue samples Two-dye experiments using Universal control RNA (Stratagene) and RNA from tissues. Biological replicates: Apparently Normal = 5; Paired Normal = 20; Gastric cancers = 24. One replicate per array.
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
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.
Project description:Gene expression profiling of apparently normal gastric tissue (obtained from patients undergoing gastric surgery for Non-gastric cancers), paired normals (obtained from the same stomach as the gastric cancer but confirmed by frozen section not to harbour any tumour cells) and gastric cancer, with an intent to identify genes involved in the malignant transformation of normal gastric mucosa and to identify genes which can be used as biomarkers for early diagnosis and potential targets for treatment Identification of novel prognostic markers using microarray gene expression studies. Keywords: Patient tissue samples
Project description:The human gastric mucosa is the most active and functional layer that carries out food digestion and metabolic processes in physiological conditions and also the main origin of carcinogenesis in gastric cancer. Anatomically, the human stomach is divided into 7 regions with physiological functions, but the protein basis for cellular specialization is not well understood. Here we present a global analysis of protein profiles of 80 apparently normal mucosas obtained by endoscopic biopsy of stomach. We identified 11,597 proteins and provided an estimation of protein expression variations/ranges in the 7 regions of the human stomach. To our knowledge, this is the first region-resolved, near normal tissue proteome reference map obtained from living individuals. We also measured mucosa protein profiles of tumor and tumor nearby tissues (TNT) from 54 gastric cancer patients, allowing for comparisons between tumor, TNT, and normal tissues. These datasets provide a rich resource for the gastrointestinal tract research community to investigate the molecular basis for region specific functions in mucosa physiology and pathology including gastric cancer.