Project description:To identify miRNAs differentially expressed in cholangiocarcinoma,3 human cholangiocarcinoma and their corresponding normal bile duct tissues were obtained from 3 patients after operation with postoperative pathological diagnosed perihilar or distal biliary cholangiocarcinoma
Project description:To investigate the role of miRNAs in the progression of colon cancer, we performed comprehensive miRMA microarray analysis on RNA derived from colon cancer tissues and normal colon tissues. We identified a novel set of colon cancer-related miRNAs.
Project description:MicroRNAs are biomarkers of prognosis and survival for many types of cancer. We evaluated whether microRNAs can predict the survival and efficacy of concurrent chemotherapy in nasopharyngeal carcinoma (NPC) patients. We retrospectively analyzed microRNA expression in 312 paraffin-embedded NPC specimens and 18 normal nasopharyngeal tissues using microarray. We found Forty-one microRNAs are differentially expressed between NPC and normal tissues, and a five-microRNA signature can predict survival independent of stage. NPC patients with the low-risk microRNA signature have a favorable response to concurrent chemotherapy.
Project description:To explore the circRNA expression profiles during the development and progression of cervical cancer, we performed RNA sequencing analysis with ribosomal RNA-depleted in HPV negative normal cervical epithelium, HPV16 positive normal cervical epithelium, HPV16 positive high-grade squamous intraepithelial lesion (HSIL), and HPV16 positive cervical squamous cell carcinoma tissues,6 cases in each group.Totally 66868 circRNAs were identified (Back-spliced junctions reads≥1)
Project description:Congenital development disorders with variable severity occur in trisomy 21. However, how these phenotypic abnormalities develop with variations remains elusive. We hypothesize that the difference in euploidy gene expression variation among trisomy 21 tissues are perturbed by the presence of an extra copy of chromosome 21 and this may contribute to the phenotypic variations in Down syndrome. Keywords: Disease state analysis