Project description:Despite the development of diagnostic and advanced treatment strategies, the prognosis of patients with osteosarcoma remains poor. A limited understanding of the pathogenesis of osteosarcomas has impeded any improvement in patient outcomes over the past 4 decades. It is thus urgent to identify novel effective targets and treatment regimens for osteosarcoma patients. In this study we delineated the super-enhancer landscape in osteosarcoma cells on the basis of H3K27ac signal intensity by ChIP-Seq and found that super-enhancer-associated genes contribute to the malignant potential of osteosarcoma. THZ2, a novel small molecular inhibitor, shows a powerful anti-osteosarcoma ability through suppress super-enhancer-associated genes selectively. Utilizing the characteristics of super-enhancers in cancer cells, we identified 5 critical super-enhancer-associated oncogenes. With the comparative and retrospective analysis in large numbers of human specimens from patients, these 5 oncogenes were observed closely related with patient prognosis. Our findings determined that targeting super-enhancer-associated oncogenes with transcriptional inhibitor, THZ2, was a promising therapeutic strategy in osteosarcoma, and provided novel candidate targets for patients with osteosarcoma.
Project description:By using gene chip technology, we can screen esophageal cancer invasion associated genes to understand esophageal squamous carcinoma invasion related mechanisms. Using the Transwell invasion chamber technology to establish human esophageal squamous carcinoma Eca109 and Eca109 - T4 cell lines with different invasion ability. Extracting Eca109 and Eca109-T4 total RNA, reverse transcribed into cDNA probes which labeled with Cy5 and Cy3 fluorescence, then it were hybridized with the Affymetrix gene chip. Using the Genechip- Scanner 3000 scan hybridization signal, and using the SAM 3.0 software analysis and process data.
Project description:This study was designed to identify genes aberrantly expressed in esophageal squamous cell carcinoma (ESCC) cells. Three esophageal squamous cell carcinoma-derived cell lines and one normal human esophageal squamous cell line were analyzed.
Project description:Profiles of esophageal squamous cell carcinoma and normal esophageal normal epithelium normal cell line. Analysis provides validation of novel microRNA targets prediction algorithms. esophageal squamous cell carcinoma:14, normal epithelium cell:2
