Project description:To understand the molecular basis of the acquisition of 5-FU resistance in gastric cancer stem cells, we established 5-FU-resistant gastric cancer organoids. We used microarrays to detail the global program of gene expression underlying 5-FU resistance and maintenance of stem cell properties in gastric cancer.
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:Gastric cancer is a most prevalent cancer with high mortality and strong invasiveness. Presently, there are many kinds of diagnosis and treatment methods, but the diagnosis rate of early gastric cancer is still not high, with a low five-year survival rate. Although the gastric cancer mechanism has been extensively studied, but the entire regulatory networks of gastric cancer is still unclear. We used microarrays to detect gene expression in NOL6 normal and knockdown gastric cancer cells a, and to identify differentially expressed genes in this program.
Project description:Human embryonic stem cells (WA01) were differentiated in a step-wise manner into three-dimensional human gastric organoids (hGOs). At day 34 of differentiation, the hGOs were collected and analyzed by RNA-sequencing.
Project description:Gastric cancer (GC) is a challenging malignant disease among gastrointestinal tumors. The clinical treatments for GC include surgery, neoadjuvant therapy and adjuvant chemotherapy. As patients’ response to chemotherapeutic drugs varies, an approach to predict the efficacy of chemotherapeutic treatment is urgently needed. Here, a biorepository of 17 human gastric tumor organoids (GTOs) and 9 normal organoids (GNOs) derived from GC patients was established, which contains the intestinal, diffuse and mixed-type of GC. GTOs retained morphologic, histopathological and genetic features of the tumors from which they were derived, and patient-derived organoid xenograft model indicated tumorigenicity of organoids. GTOs responses to clinically respective chemotherapy treatment positively correlated with the individual patient’s clinical response. Meanwhile, GNOs, which maintained original characteristics of corresponding tissues, could be separated from GTOs. The use of GNOs predicted the cytotoxic effect of chemotherapy on the organism. Our study implies that patient-derived organoids predict GC patient responses to chemotherapy and provide a solution for personalized treatment.