Project description:The purpose of this study is to identify lncRNAs involved in the pathology of colorectal cancer (CRC) progression and investigate their underlying mechanisms. The differentially expressed lncRNAs were identified between 15 CRC tissues and 15 adjacent normal tissues by Arraystar lncRNA microarrays
Project description:To determine the lncRNA expression profile in ectopic APC overexpressed CRC cell lines and control cells, we uesed lncRNA microArray analysis form Arraystar to examine lncRNA expression profile in ectopic APC overexpressed CRC cell lines and control cells.
Project description:ArrayStar Human LncRNA/mRNA Expression Microarray Version 3.0 was used to detect lncRNA expression in CRC tissues compared with their matched non-tumoral tissues. Here we report significantly up-regulated as well as down-regulated lncRNAs in CRC tissues compared with their matched non-tumoral tissues.
Project description:The purpose of this study is to identify lncRNAs involved in the pathology of colorectal cancer (CRC) liver metastasis and investigate their underlying mechanisms. A total of 439 miRNAs were identified to be differentially expressed between 7 primary CRC tissues with liver metastases and 8 CRC tissues without liver metastases from 15 patients by Arraystar lncRNA microarrays
Project description:We evaluated the profile of lncRNA and mRNA expression in 6 colorectal adenoma (CRA), 6 colorectal adenoma (CRC) and 6 matched normal mucosa (NOR) using the Exiqon miRCURY lncRNA and mRNA array,7th generation. We found that global dysregulated lncRNA and mRNAs between colorectal lesions and normal mucosa. Our findings implicates that dysregulation of lncRNA and mRNAs may play important role in the carcinogenesis and present therapeutic targets for CRC.
Project description:To further study the mechnisms behind CRC metastasis, we employed microarray expression profiling as a discovery platform to identify differential expressed lncRNAs and mRNAs in non-metastastic and metastastic CRC tissues. Eight non-metastic CRC tissues and eight metastatic CRC tissues are collected and total RNA were extracted and purified. Differential lncRNA and mRNA expression profiles of non-metastatic and metastatic CRC tissues were obtained.
Project description:HILEC from CRC tissues isolated from human patients underwent RNA sequencing to define their expression profile by comparison with healthy cells.
Project description:Our team has constructed a prediction model based on the expression level of lncRNA (lncRNA-UCID、NEAT1、ciRS-7) to predict the chronicization of radiation-induced acute intestinal injury (RAII) and verified the predictive efficacy of the system in retrospective studies. This clinical study intends to further prospectively verify the accuracy of this prediction model in rectal cancer patients. In this study, we plan to enroll 200 patients diagnosed with locally advanced rectal cancer by pathology and MRI, who undergo neoadjuvant chemoradiotherapy (NCRT) and total mesorectal excision (TME) and develop RAII during NCRT or within 1 month. We will follow up the occurrence and progression of radiation-induced intestinal injury within 1 year after TME. Expression levels of lncRNA will be detected in pathological tissue after TME and applied to the prediction model to predict the chronicization of RAII. Based on the clinical diagnosis of chronic radiation-induced intestinal injury, the area under curve (AUC), accuracy, precision, specificity, and sensitivity of this prediction model in predicting the chronicization of RAII will be evaluated. The main outcome hypothesis is that the AUC of chronicization of RAII predicted by the prediction model based on the expression level of lncRNA is more than 0.8.
