Project description:We analyzed, by last-generation high-resolution SNP arrays, colorectal adenocarcinoma samples and matched normal colonic tissues in order to determine the number of tumor-associated copy number abnormalities (CNAs) and copy neutral-loss of heterozygosity (CN-LOH) regions per patient and to identify possible recurring genomic abnormalities.
Project description:Colorectal cancer (CRC) is the third most common cancer worldwide. Colorectal polyps are recognised pre-cursors of CRC, however hyperplastic polyps lack malignant potential. The purpose of this study was to identify differences in gene expression between normal colonic mucosa, hyperplastic and adenomatous polyps from disease-free individuals. By comparing polyps believed to have malignant potential (adenomatous polyps) with hyperplastic polyps it is hoped that new insights into colorectal carcinogenesis can be achieved. 24 colonic samples comprising 8 normal colonic mucosa, 8 hyperplastic polyps and 8 adenomatous polyps.
Project description:Purpose: Examine H3K27ac enhancer and super-enhancer landscape differences between primary colorectal carcinoma and adjacent normal mucosa towards the identification of novel downstream targets. Methods: H3K27ac ChIP-seq and RNA-seq were performed on fresh primary colorectal carcinoma samples and normal colonic mucosa, from human patient samples. Results: We identified 2026 total super-enhancers in our cohort, between primary colorectal and normal mucosa. We quantified differences in H3K27ac signal within this space, between tumor and normal, and identified putative downstream target genes through integration with sample matched RNA-seq using a positive linear correlation model to identifty putative target genes.
Project description:These samples have been analyzed for global alternative splicing variation on exon-level expression data using the FIRMA algorithm. We have identified and described transcriptome instability as a genome-wide, pre-mRNA splicing related characteristic of solid cancers. This Series consists of 19 normal colonic mucosa samples from colorectal cancer patients, and is an amendment to a larger series of colorectal cancer and adjacent normal colonic mucosa samples analyzed for gene expression at the exon-level (GSE24550).
Project description:Comparing to matched normal mucosa, WTX was lost in most of human colorectal cancers (Zhang et al., 2016). We analyzed the microRNA expression profiling among WTX low human colorectal cancer tissues and matched adjacent WTX high normal colorectal mucosa. The aimed to identify the unique signature of miRNAs which related to WTX loss in human colorectal cancers.
Project description:Comparing to matched normal mucosa, WTX was lost in most of human gastric cancers (Zhang et al., 2016). We analyzed the microRNA expression profiling among WTX low human colorectal cancer tissues and matched adjacent WTX high normal colorectal mucosa. The aimed to identify the unique signature of miRNAs which related to WTX loss in human colorectal cancers.
