Pancreatic cancer
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB40742 | ENA |
REPOSITORIES: ENA
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Project description:Metabolomics analysis of serum exosomes isolated from pancreatic cancer patients and healthy controls.
2019-04-06 | MSV000083669 | GNPS
Project description:This is the experiment set used for a paper written in collaboration with Hopkins. It compares genes that are differentially expressed between normal pancreas, pancreatic cell lines and pancreatic adenocarcinoma. Pancreatic cancer is the fifth leading cause of cancer death in the United States. We used cDNA microarrays to analyze global gene expression patterns in 14 pancreatic cancer cell lines, 17 resected infiltrating pancreatic cancer tissues, and 5 samples of normal pancreas to identify genes that are differentially expressed in pancreatic cancer. We found more than 400 cDNAs corresponding to genes that were differentially expressed in the pancreatic cancer tissues and cell lines as compared to normal pancreas. These genes that tended to be expressed at higher levels in pancreatic cancers were associated with a variety of processes, including cell-cell and cell-matrix interactions, cytoskeletal remodeling, proteolytic activity, and Ca(++) homeostasis. Two prominent clusters of genes were related to the high rates of cellular proliferation in pancreatic cancer cell lines and the host desmoplastic response in the resected pancreatic cancer tissues. Of 149 genes identified as more highly expressed in the pancreatic cancers compared with normal pancreas, 103 genes have not been previously reported in association with pancreatic cancer. The expression patterns of 14 of these highly expressed genes were validated by either immunohistochemistry or reverse transcriptase-polymerase chain reaction as being expressed in pancreatic cancer. The overexpression of one gene in particular, 14-3-3 sigma, was found to be associated with aberrant hypomethylation in the majority of pancreatic cancers analyzed. The genes and expressed sequence tags presented in this study provide clues to the pathobiology of pancreatic cancer and implicate a large number of potentially new molecular markers for the detection and treatment of pancreatic cancer. A disease state experiment design type is where the state of some disease such as infection, pathology, syndrome, etc is studied. Using regression correlation
2005-11-23 | E-GEOD-3654 | biostudies-arrayexpress
Project description:This is the experiment set used for a paper written in collaboration with Hopkins. It compares genes that are differentially expressed between normal pancreas, pancreatic cell lines and pancreatic adenocarcinoma. Pancreatic cancer is the fifth leading cause of cancer death in the United States. We used cDNA microarrays to analyze global gene expression patterns in 14 pancreatic cancer cell lines, 17 resected infiltrating pancreatic cancer tissues, and 5 samples of normal pancreas to identify genes that are differentially expressed in pancreatic cancer. We found more than 400 cDNAs corresponding to genes that were differentially expressed in the pancreatic cancer tissues and cell lines as compared to normal pancreas. These genes that tended to be expressed at higher levels in pancreatic cancers were associated with a variety of processes, including cell-cell and cell-matrix interactions, cytoskeletal remodeling, proteolytic activity, and Ca(++) homeostasis. Two prominent clusters of genes were related to the high rates of cellular proliferation in pancreatic cancer cell lines and the host desmoplastic response in the resected pancreatic cancer tissues. Of 149 genes identified as more highly expressed in the pancreatic cancers compared with normal pancreas, 103 genes have not been previously reported in association with pancreatic cancer. The expression patterns of 14 of these highly expressed genes were validated by either immunohistochemistry or reverse transcriptase-polymerase chain reaction as being expressed in pancreatic cancer. The overexpression of one gene in particular, 14-3-3 sigma, was found to be associated with aberrant hypomethylation in the majority of pancreatic cancers analyzed. The genes and expressed sequence tags presented in this study provide clues to the pathobiology of pancreatic cancer and implicate a large number of potentially new molecular markers for the detection and treatment of pancreatic cancer. A disease state experiment design type is where the state of some disease such as infection, pathology, syndrome, etc is studied. Keywords: disease_state_design
2005-11-24 | GSE3654 | GEO
Project description:Quantitative proteome profiling of 72 samples of tumor and normal tissues from pancreatic cancer (PC) patients, tissues from patients with pancreatitis samples and PDX-derived cell lines.
2022-05-20 | PXD025120 | JPOST Repository
Project description:Transcriptional deregulation of oncogenic pathways is a hallmark of cancer, and can be due to epigenetic alterations. 5-hydroxymethylcytosine is a recently discovered epigenetic modification that has not been studied in pancreatic cancer. Genome-wide analysis of 5-hmC enriched loci was conducted in low-passage pancreatic cancer cell lines and primary patient-derived xenografts and revealed strikingly altered patterns in neoplastic tissues. Differentially hydroxymethylated regions preferentially affected regulatory regions of the genome, specifically overlapping with H3K4me1 enhancers. Gain of 5-hmC was correlated with upregulation of the cognate transcripts, including many oncogenic pathways implicated in pancreatic neoplasia. Specifically, BRD4 was overexpressed and acquired 5hmC at enhancer regions in majority of neoplastic samples. Functionally, acquisition of 5hmC at BRD4 promoter regulated increase in transcript expression. Furthermore, blockade of BRD4 inhibited pancreatic cancer growth in vivo. In summary, redistribution of 5-hmC and preferential enrichment at oncogenic enhancers is a novel regulatory mechanism in human cancer. Genome-wide analysis of 5-hmC enriched loci was conducted in low-passage pancreatic cancer cell lines and primary patient-derived xenografts
2016-08-06 | E-GEOD-71839 | biostudies-arrayexpress
Project description:The paper describes a model on the size of pancreatic tumour.
Created by COPASI 4.25 (Build 207)
This model is described in the article:
Modeling Pancreatic Cancer Dynamics with Immunotherapy
Xiaochuan Hu, Guoyi Ke and Sophia R.-J. Jang
Bulletin of Mathematical Biology (2019) 81:1885–1915
Abstract:
We develop a mathematical model of pancreatic cancer that includes pancreatic cancer cells, pancreatic stellate cells, effector cells and tumor-promoting and tumor- suppressing cytokines to investigate the effects of immunotherapies on patient survival. The model is first validated using the survival data of two clinical trials. Local sen- sitivity analysis of the parameters indicates there exists a critical activation rate of pro-tumor cytokines beyond which the cancer can be eradicated if four adoptive trans- fers of immune cells are applied. Optimal control theory is explored as a potential tool for searching the best adoptive cellular immunotherapies. Combined immunother- apies between adoptive ex vivo expanded immune cells and TGF-β inhibition by siRNA treatments are investigated. This study concludes that mono-immunotherapy is unlikely to control the pancreatic cancer and combined immunotherapies between anti-TGF-β and adoptive transfers of immune cells can prolong patient survival. We show through numerical explorations that how these two types of immunotherapies are scheduled is important to survival. Applying TGF-β inhibition first followed by adoptive immune cell transfers can yield better survival outcomes.
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2019-07-10 | BIOMD0000000744 | BioModels
Project description:The goal of the study was to examine the transcriptional profile of pancreatic cancer cell lines and assess if the molecular subtypes observed in tumor samples were represented in existing cell line models. Cell line models allow us to investigate if the molecular subtype observed in tumor have unique sensitivity profiles to anticancer drugs. 29 pancreatic cancer cell lines were compared to a mixed reference pool of 30 pancreatic cancer cell lines to identify cell line specific gene expression.
2016-06-01 | E-GEOD-77850 | biostudies-arrayexpress
Project description:Expression data from pancreatic cancer cell lines and non-neoplastic pancreatic cell line HPDE To identify genes epigenetically silenced and regulated in pancreatic cancer We compared the gene expression profiles of 6 pancreatic cancer cell lines (panc215, A32-1, A38-5, panc2.5, panc2.8, and panc3.014), to the non-neoplastic pancreas cell line, HPDE. We also compared the baseline gene expression of the pancreatic cancer cell lines to expression patterns after treatment with 5-aza-dC alone, TSA alone, and to a combination of 5-aza-dC/TSA.
2010-04-14 | E-GEOD-21163 | biostudies-arrayexpress
Project description:Aberrant regulation of angiogenesis involves in the growth and metastasis of tumors, but angiogenesis inhibitors fail to improve overall survival of pancreatic cancer patients in previous phase III clinical trials. A comprehensive knowledge of the mechanism of angiogenesis inhibitors against pancreatic cancer is helpful for clinical purpose and for the selection of patients who might benefit from the inhibitors. In this work, multi-omics analyses (transcriptomics, proteomics and phosphoproteomics profiling) were carried to delineate the mechanism of anlotinib, a novel angiogenesis inhibitor, against pancreatic cancer cells.
2021-09-09 | PXD023344 | Pride
Project description:This project analyzes pancreatic tissue profiles of pancreatic cancer patients, pancreatitis patients, and controls. Since miRNAs are known to be valuable diagnostic markers, we asked whether respective patterns of pancreatic cancer patients can be detected in biopsies. The project aimed at an impoved understanding of complex profiles rather than single markers. Thus, a high-throughput technique was necessary, profiling all known miRNAs integratively. Three markers have been validated by using qPCR. n = 22 normal controls, n = 27 pancreatitis samples, and n = 136 pancreatic cancer samples have been screened for the complete miRNA repertoire. Please note that each miRNA has been measured in seven replicates and the median of the replica has been computed.
2012-01-01 | E-GEOD-24279 | biostudies-arrayexpress