ABSTRACT: Microarray gene-expression profiles of 45 matching pairs of pancreatic tumor and adjacent non-tumor tissues from 45 patients with pancreatic ductal adenocarcinoma
Project description:In order to identify biologically relevant tumor markers with prognostic significance, we set out to analyze gene expression profiling of tumor and adjacent non-tumor tissues from PDAC cases. We compared the microarray gene-expression profiles of 45 matching pairs of pancreatic tumor and adjacent non-tumor tissues. This data set were used to obtained genes that were differentially expressed and associated with survival. 51 genes were selected for further validation.
Project description:In order to identify biologically relevant tumor markers with prognostic significance, we set out to analyze gene expression profiling of tumor and adjacent non-tumor tissues from PDAC cases. We compared the microarray gene-expression profiles of 45 matching pairs of pancreatic tumor and adjacent non-tumor tissues. This data set were used to obtained genes that were differentially expressed and associated with survival. 51 genes were selected for further validation. 90 total samples were analyzed. We compared gene expression profile of 45 pairs of pancreatic tumor and adjacent non-tumor tissues using Affymetrix GeneChip Human Gene 1.0 ST arrays. Tumor gene expression profiles were distinctly different from non-tumor profiles. Using ANOVA in Partek®, 7352 independent genes were found to be differentially expressed in tumors (P<0.01). We next performed Cox-regression analysis and identified 928 of the differentially expressed genes that were associated with survival (P<0.1). The list of genes was then subjected to pathway and biomarker analyses using Ingenuity Pathways Analysis (IPA). Based on literatures supporting their roles in cancer, 51 genes were selected for further analyses
Project description:To explore the potential involvement of circular RNAs (circRNAs) in pancreatic ductal adenocarcinoma (PDAC) oncogenesis, we conducted circRNA profiling in six pairs of human PDAC and adjacent normal tissue by microarray. Our results showed that clusters of circRNAs were aberrantly expressed in PDAC compared with normal samples, and provided potential targets for future treatment of PDAC and novel insights into PDAC biology. Analyze circular RNA expression in pancreatic ductal adenocarcinoma (PDAC) by microarray platform.
Project description:Expression analysis of 36 pancreatic ductal adenocarcinoma tumors and matching normal pancreatic tissue samples from pancreatic cancer patients of the Clinical Institute Fundeni (ICF) using Affymetrix U133 Plus 2.0 whole-genome chips. Pairs of normal and tumor tissue samples were obtained at the time of surgery from resected pancreas of 36 pancreatic cancer patients. Gene expression was analyzed on Affymetrix U133 plus 2.0 whole genome microarrays. For three of the 36 normal-tumor sample pairs we carried out replicate microarray hybridizations in order to gauge the technical measurement errors. We thus performed 78 genechip hybridizations in total. A patient sample pair was excluded from further analysis since one of the samples did not meet the quality controls. The microarray data was subsequently normalized using the RMA algorithm.
Project description:Perineural invasion (PNI) is a prominent characteristic of pancreatic ductal adenocarcinoma (PDAC) and indicates poor prognosis. The invasion of the surrounding nerves by pancreatic cancer cells not only provides route for metastasis but also contributes to neural remodeling and changes in the neuronal milieu that can profoundly influenced the microenvironment of pancreatic cancer. To investigate the downstream molecules associated with PNI, the experiment analyzed mRNA expression of 50 pairs of pancreatic ductal adenocarcinoma tissue and paired adjacent non-tumor tissue, among which 28 pairs of cases diagnosed with PNI by experienced pathologist. Results provide new insight into molecular basis for the influence of PNI on the microenvironment of pancreatic cancer.
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:Transcriptomic analysis of cancer samples helps to identify the mechanism and molecular markers of cancer. However, transcriptomic analyses of pancreatic ductal adenocarcinoma from the Japanese population are lacking. We performed RNA sequencing of flesh or frozen pancreatic ductal adenocarcinoma tissues and adjacent normal pancreatic tissue from 12 Japanese patients to identify genes critical for the clinical pathology of pancreatic cancer among the Japanese population.
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.
Project description:To explore the potential involvement of circular RNAs (circRNAs) in pancreatic ductal adenocarcinoma (PDAC) oncogenesis, we conducted circRNA profiling in six pairs of human PDAC and adjacent normal tissue by microarray. Our results showed that clusters of circRNAs were aberrantly expressed in PDAC compared with normal samples, and provided potential targets for future treatment of PDAC and novel insights into PDAC biology.
Project description:To explore the potential involvement of lncRNAs in pancreatic ductal adenocarcinoma (PDAC) oncogenesis, we conducted lncRNA profiling in six pairs of human PDAC and adjacent normal tissue by microarray. Our results showed that clusters of lncRNAs were aberrantly expressed in PDAC compared with normal samples, and provided potential targets for future treatment of PDAC and novel insights into PDAC biology.
