ABSTRACT: Microarray gene-expression profiles of 69 pancreatic tumors and 61 adjacent non-tumor tissue from patients with pancreatic ductal adenocarcinoma
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:Cell conditioned medium from human pancreatic cancer cell lines MiaPaCa-2, AsPC-1, primary pancreatic cell lines as well as human FFPE tissue samples from pancreatic ductal adenocarcinoma (PDAC), chronic pancreatitis (CP), ampullary cancer, non-malignant adjacent pancreas and normal pancreas were analyzed via targeted (SRM, PRM) and/or explorative (DIA) mass spectrometry.
Project description:Pancreatic ductal adenocarcinoma (PDAC) remains a lethal disease with a 5-year survival of 4%. A key hallmark of PDAC is extensive stromal involvement, which makes capturing precise tumor-specific molecular information difficult. Here, we have overcome this problem by applying blind source separation to a diverse collection of PDAC gene expression microarray data, which includes primary, metastatic, and normal samples. By digitally separating tumor, stroma, and normal gene expression, we have identified and validated two tumor-specific subtypes including a “basal-like†subtype which has worse outcome, and is molecularly similar to basal tumors in bladder and breast cancer. Furthermore, we define 'normal' and 'activated' stromal subtypes which are independently prognostic. Our results provide new insight into the molecular composition of PDAC which may be used to tailor therapies or provide decision support in a clinical setting where the choice and timing of therapies is critical. Analysis of the landscape of gene expression in pancreatic adenocarcinoma. Data include 145 primary and 61 metastatic PDAC tumors, 17 cell lines, 46 pancreas and 88 distant site adjacent normal samples. Arrays represent distinct samples. The SPOT column in the raw data file (linked to each sample record) contains Agilent feature extraction numbers (included in the 'GPL4133-20424.txt' linked to the platform records).
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:Solid-pseudopapillary neoplasm of pancreas (SPN), ductal adenocarcinoma (PCA), neuroendocrine tumor (NET) and non-neoplastic pancreas. comparison with gene expression of tumors and non-tumors To investigate the specific microRNA expression of SPN compared to other types of pancreatic tumor, we analyzed large-scale microRNA expressioin analysis to identify the molecular signature that may affect SPN tumorigenesis with mRNA expression profiles. Differentially expressed microRNAs were analyzed on SPNs, PCAs, NETs and Non-neoplastic tissues.
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: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:Gene expression analyses of pancreatic adenocarcinoma and adjacent ductal epithelia from the same patient using bulk vs LCM dissected samples. Our results indicate that laser capture microdissection (LCM) is necessary to identify differentially expressed genes that discriminate between PDAC and healthy pancreatic ductal tissue. Pancreatic tissues were collected at time of surgery and snap frozen in liquid nitrogen for RNA extraction and Affymetrix GeneChip Expression analyses.
Project description:Microarray gene-expression profiles of 45 matching pairs of pancreatic tumor and adjacent non-tumor tissues from 45 patients with pancreatic ductal adenocarcinoma