Project description:To determine the lncRNA and mRNA expression profile in SKOV3/SKOV3_DDP/IOSE80, we uesed lncRNA microArray analysis form Arraystar to examine the expression of lncRNAs and mRNAs in SKOV3/SKOV3_DDP/IOSE80.
Project description:To further development of the effects of β-HCG in ovarian cancer SKOV3 cells,we have employed lncRNA and mRNA microarray as a discovery platform to identify lncRNA and mRNA expression in β-HCG overexpressing ovarian cancer cells. SKOV3 cells were transfected with lentiviral vector with eGFP, encoding β-HCG and negative control vector (LV- β-HCG and LV-CON,) by using polybrene. The dysregulation of β-HCG was confirmed by using RT-PCR. RNA was extracted and detected by a lncRNA and mRNA microarray in LV-β-HCG and LV-CON SKOV3 cells. The different expression of lncRNA and mRNA in LV-β-HCG and LV-CON SKOV3 cells was analyzed to explore the mechanism that β-HCG affect ovarain cancer 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.
Project description:To further development of our lncRNA and mRNA expression approach to pancreatic ductal adenocarcinoma(PDAC), we have employed lncRNA and mRNA microarray expression profiling as a discovery platform to identify lncRNA and mRNA expression in pancreatic ductal adenocarcinoma.Human pancreatic ductal adenocarcinoma tissues and normal pancreatic tissues from PDAC donors and other duodenum diseases donors. analyze mRNA and lncRNA expression in pancreatic ductal adenocarcinoma (PDAC) by microarray platform
Project description:Primary outcome(s): Relationship with mRNA expression of B7 family molecules in blood of patients with colorectal cancer and clinicopathological factors
Project description:To investigate the differences in gene expression between parental SKOV3 cells and the two taxol-resistant cell lines SKOV3/Tx50 and SKOV3/Tx600.
Project description:To investigate the differences in gene expression between parental SKOV3 cells and the two taxol-resistant cell lines SKOV3/Tx50 and SKOV3/Tx600.
Project description:To investigate the differences in gene expression between parental SKOV3 cells and the two taxol-resistant cell lines SKOV3/Tx50 and SKOV3/Tx600.