Project description:Clinical heterogeneity of gastric cancer reflected in unequal outcome of treatment is poorly defined in molecular level, and molecular subtypes and their associated biomarkers have not been established to improve prognostification and treatment of gastric cancer. Using microarray technologies, we analyzed gene expression profiling data from patients with advanced gastric cancer and uncovered potential prognostic subtypes and identify gene expression signature associated with prognosis. Using microarray technologies, we analyzed gene expression profiling data from patients with advanced gastric cancer and uncovered potential prognostic subtypes and identify gene expression signature associated with prognosis.
Project description:Clinical heterogeneity of gastric cancer reflected in unequal outcome of treatment is poorly defined in molecular level, and molecular subtypes and their associated biomarkers have not been established to improve prognostification and treatment of gastric cancer. Using microarray technologies, we analyzed gene expression profiling data from gastric cancer patients and uncovered potential prognostic subtypes and identify gene expression signature associated with prognosis and response to adjuvant chemotherapy.
Project description:Clinical heterogeneity of gastric cancer reflected in unequal outcome of treatment is poorly defined in molecular level, and molecular subtypes and their associated biomarkers have not been established to improve prognostification and treatment of gastric cancer. Using microarray technologies, we analyzed gene expression profiling data from patients with advanced gastric cancer and uncovered potential prognostic subtypes and identify gene expression signature associated with prognosis.
Project description:Molecular characterization of 7 peritoneally-metastatic gastric cancer cell lines and primary cancer cells established from a patients’ ascites. We performed comprehensive transcriptome analyses using microarrays of our established gastric cancer cell lines and primary cancer cells.
Project description:Establishment and molecular characterization of 49 peritoneally-metastatic gastric cancer cell lines from 18 patients’ ascites. We performed comprehensive transcriptome analyses using microarrays of our established gastric cancer cell lines.
Project description:Clinical heterogeneity of gastric cancer reflected in unequal outcome of treatment is poorly defined in molecular level, and molecular subtypes and their associated biomarkers have not been established to improve prognostification and treatment of gastric cancer. Using microarray technologies, we analyzed gene expression profiling data from gastric cancer patients and uncovered potential prognostic subtypes and identify gene expression signature associated with prognosis and response to adjuvant chemotherapy.
Project description:We analyzed expression profiles of microRNAs from 22 paired gastric cancer and normal tissues and identified differentially expressed microRNAs. RNA from paired normal and tumor specimens in 22 gastric cancer patients were extracted and treated for microRNA microarray analysis.
Project description:We analyzed expression profiles of microRNAs from 22 paired gastric cancer and normal tissues and identified differentially expressed microRNAs.