Project description:Pineoblastoma is a rare and aggressive embryonal tumor of childhood. The molecular heterogeneity within has not been systematically evaluated. In this study, we used methylation profiling to compare the signatures of pineoblastoma and other pineal parenchymal tumors to a reference cohort of brain tumor entities (GSE90496) , clinically relevant epigenomic subgroups with characteristics genomic/transcriptomic features are described.
Project description:Epigenomics is developing a colon cancer screening assay based on differential methylation of specific CpG sites for the detection of early stage disease. A genome-wide methylation analysis and oligonucleotide array study using DNA from various stages of colon cancer and normal tissue have been completed to obtain candidate CpG markers. Based on results obtained in the above studies, Epigenomics has moved to the final stages of feasibility with a specific, highly sensitive real-time marker assay that is able to detect colon cancer DNA in blood plasma.
Project description:Introduction: Colorectal cancer (CRC) has the third highest incidence rate and the fourth mortality rate in the world. Traditional colonoscopy as an invasive examination method cannot be widely used in screening for colorectal neoplasia. The fecal immunochemical test has some limitations in sensitivity. Also, race and regional differences may affect results. Abnormality in the composition of the gut microbiota has been implicated as a potentially important etiologic factor in the initiation and progression of colorectal cancer. Analyzing fecal flora and exfoliated cell genes may represent a new screening tool for colorectal cancer.This research aims to use 16S rRNA to compare differences in fecal flora between colorectal cancer patients and healthy controls. These data combined with DNA findings of fecal exfoliated cells may further clarify this difference to build a model for screening early colorectal cancer in Chinese people.
Methods and analysis: In total, 300 patients with positive colonoscopy results and 200 health controls will be recruited. All participants will complete an information form and questionnaires. Fecal samples will be examined by 16S rRNA analysis. Gene methylation levels will be detected in fecal exfoliated cells. Models of related intestinal microbiota and methylation genes will be built. Receiver operating characteristic (ROC) curve analysis will be used to select some models with appropriate sensitivity and specificity.The models will be further validated by multicenter studys.