Project description:Aim of the study was the distinction of adeoncarcinomas at the gastroesophageal junction by their expression profile. Differential gene expression analysis between tumours of different Siewert type did not reveal relevant results. Stratification into three intrinsic subgroups was done by an diagonal distribution model using the mclust package in R. Clinicopathological and demographic parameters showed a similar distribution within the subgroups. Genes set ernichment analysis revealed different biological features for each subgroup that were also reflected by significant differences in the prognostic outcome for the patients, mainly overall survival and recurrence free survival.
Project description:Aim of the study was the distinction of adeoncarcinomas at the gastroesophageal junction by their expression profile. Differential gene expression analysis between tumours of different Siewert type did not reveal relevant results. Stratification into three intrinsic subgroups was done by an diagonal distribution model using the mclust package in R. Clinicopathological and demographic parameters showed a similar distribution within the subgroups. Genes set ernichment analysis revealed different biological features for each subgroup that were also reflected by significant differences in the prognostic outcome for the patients, mainly overall survival and recurrence free survival.
Project description:Exosomes were purified from 250 ul serum using ExoQuickTm. The presence of particles consistent in size with exosomes (60-150nm) was confirmed using a Nanosight LM10. miRNA was extracted from exosomes using an miRNeasy Serum/Plasma kit (Qiagen, #217184). miRNA was reversed transcribed using a TaqMan® microRNA Reverse Transcription Kit (Life technologies, #4366596). miRNA profiling was performed with a high throughput TaqMan® OpenArray® Human microRNA panel (Life technologies, #4461104). The panel consisted of probes for 754 human miRNAs that are based on miRNA sequences derived from Sanger miRBase v14. MegaplexTM Primer Human Pool A v2.1 and Human Pool B v2.0 or v3.0 The poor prognosis and rising incidence of oesophageal adenocarcinoma highlight the need for improved methods for detection of this cancer. Molecular biomarkers offer potential for this. The potential for circulating miRNAs as biomarkers in some other cancers has been shown, but circulating miRNAs have not been well characterized in oesophageal adenocarcinoma. This study investigated whether circulating miRNAs could be used to detect oesophageal adenocarcinoma.
Project description:Differential gene expression analysis of oesophageal cells stimulated with a low pH environment. Study designed to identify pathways involved in progression of gastro-oesophageal reflux disease through Barrett's oesophagus to adenocarcinoma. Identified many subsets of genes with involvement in pathogenesis. Keywords = GORD Keywords = Barrett's Oesophagus Keywords = Oesopageal Adenocarcinoma. Keywords: time-course
Project description:Methylation profiling was performed of human germ cell cancers of testicular and ovarian origin. The main goal of the study was to investigate chromosomal copy numbers and to assess differential methylation patterns.
Project description:The Illumina Infinium HumanMethylation450 BeadChip arrays were performed on a collection of primary oesophageal cancer-associated myofibroblasts (CAM) and their patient-matched adjacent tissue myofibroblasts (ATM). CAM and ATM samples were obtained from patients with oesophageal adenocarcinomas undergoing cancer surgery.