Project description:Metastasis is a complex process involving multiple steps. We were interested in the role of microRNAs (miRNAs) in the process of liver colonization by colorectal cancer cells. We hypothesized that the comparison between non-metastatic versus metastatic isogenic cell line should thus offer valuable insight to the molecular mechanisms involved in developing metastatic behavior. KM12C/KM12SM and SW480/SW620 are probably the best available models of isogenic cell lines differing in metastatic properties for colorectal cancer. Our first goal was to identify miRNAs that contribute to the metastatic traits of the isogenic colorectal cancer cell lines, KM12C/KM12SM and SW480/SW620. Total RNA was extracted from cells using the mirVana kit (Ambion). Total RNA (1 µg) from KM12C and SW480 (poorly metastatic) and KM12SM and SW620 (highly metastatic) cells was used to analyze the global miRNA expression profiling with TaqMan Megaplex human array A (v2.0) and B (v3.0) (Applied Biosystems).
Project description:We determined expression profiles of 667 miRNAs using TaqMan Low Density Arrays (TLDA-TaqMan Array Human MicroRNA Card Set v2.0, Applied Biosystems) in 8 samples of colorectal cancer tissues and 8 samples of paired non-tumoral colonic tissues.
Project description:Identification of differentially expressed microRNAs in Colorectal Cancer Distant metastasis is the major determinant of patient outcome in colorectal cancer and microRNAs have emerged as an increasingly important class of molecules which can regulate several steps of the metastatic cascade. By systematically analysing the miR expression profiles of resected metastasis-, corresponding primary tumor- and normal tissues of colorectal cancer patients, we were able to delineate a miR-signature indicative of the metastatically critical microRNA landscape.
Project description:Patients with metastatic colorectal cancer were enrolled for treatment with cetuximab monotherapy. Transcriptional profiling was conducted on RNA from pre-treatment metastatic site biopsies to identify genes whose expression correlates with best clinical responses. Keywords: comparison of disease control group versus non-responder group of patients
Project description:To identifythe the functional roles of circRNAs in human colorectal cancer, we analysed the differenial expression of circRNAs in 5 colorectal cancer tissues and the corresponding non-cancerous tissues. We used microarrays to detail the global programme of circRNA expression in human colorectal cancer tissues and correponding non-cancerous tissues.
Project description:Identification of differentially expressed microRNAs in Colorectal Cancer Distant metastasis is the major determinant of patient outcome in colorectal cancer and microRNAs have emerged as an increasingly important class of molecules which can regulate several steps of the metastatic cascade. By systematically analysing the miR expression profiles of resected metastasis-, corresponding primary tumor- and normal tissues of colorectal cancer patients, we were able to delineate a miR-signature indicative of the metastatically critical microRNA landscape. 9 colorectal cancer patients were profiled comprising 5 patients with tissues from the primary tumor, normal mucosa, secondary metastasis and the background tissue in which the metastasis ocurred. In the remaining 4 patients, one of these four tissue entitities is missing. One patient had two synchronous primary tumors, one in the colon and the other in the rectum.
Project description:Using Laser Microdissection System (Leica Microsystems), RNA samples specific for stroma or epithelium were separately collected from thirteen colorectal cancer tissues and four normal tissues. Both microRNA microarray and gene expression microarray were performed in these samples. Tissue samples from thirteen colorectal cancer tissues and four normal tissues were microdissected using Laser Microdissection System (Leica Microsystems), and RNA samples specific for stroma or epithelium were separately collected.MicroRNA and Gene expression profiles obtained from cancer stromal tissues were compared with that of normal colon stromal tissues. we used the commercially available Human Whole Genome Oligo DNA Microarray Kit (Agilent Technologies) for gene expresson analysis and microRNA array for microRNA analysis.
