Project description:When pancreatic cancer cells metastasize to the liver, resident hepatic stellate cells release retinoic acid. Attached is an analysis of retinoic acid-induced genes in the highly metastatic murine pancreatic cancer cell line Ink4a
Project description:To understand the site-specific differences in how metastatic pancreatic cancer is modulated, we compared the non-immune compartments by bulk RNA-seq by mouse models of lung and liver metastatic pancreatic cancer based on Kras and Trp53 driven pancreatic cancer cells (KPC).
Project description:To identify and characterize differentially expressed tsRNA, we collected 3 primary tissues and 3 liver metastasis tissues in pancreatic cancer, and compared the tsRNA expression profiles between primary tissues and liver metastasis tissues in pancreatic cancer using tsRNA sequencing.
Project description:Cancer cachexia syndrome is observed in 80% of patients with advanced-stage cancer, and it is one of the most frequent causes of death. Severe wasting accounts for more than 80% in patients with advanced pancreatic cancer. Here we wanted to define, by using an microarray approach and the Pdx1-cre;LSL-KrasG12D;INK4a/arffl/fl, the pathways involved in muscle, liver and white adipose tissue wasting. The aim of our work was to characterize as extensively as possible the pathways activated by the pancreatic cancer-induced cachectic tissues. For this purpose, we generated and compared genome-wide expression profiles of white adipose tissue, skeletal muscle and liver, from Pdx1-cre;LSL-KrasG12D;INK4a/arffl/fl and LSL-KrasG12D;INK4a/arffl/fl mice at 10 weeks-old. Tissue samples by triplicate was obtained from liver, muscle and adipose tissues in both groups, controls and cachectic mice. Total RNA samples was processed and profiled on Affymetrix Mouse Gene 1.0 ST arrays as previously described (Cano et al, 2012)
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
Project description:Pancreatic cancers (PCs) are highly metastatic with poor prognosis, mainly due to delayed detection. We hypothesized that intercellular communication is critical for metastatic progression. Here, we show that PC-derived exosomes induce liver pre-metastatic niche formation in naïve mice and consequently increase liver metastatic burden. Uptake of PC-derived exosomes by Kupffer cells caused transforming growth factor β secretion and upregulation of fibronectin production by hepatic stellate cells. This fibrotic microenvironment enhanced recruitment of bone marrow-derived macrophages. We found that macrophage migration inhibitory factor (MIF) was highly expressed in PC-derived exosomes, and its blockade prevented liver pre-metastatic niche formation and metastasis. Compared to patients whose pancreatic tumors did not progress, MIF was markedly higher in exosomes from stage I PC patients who later developed liver metastasis. These findings suggest that exosomal MIF primes the liver for metastasis and may be a prognostic marker for the development of PC liver metastasis.
Project description:Pancreatic cancer is a devastating disease with both local invasion and distant metastasis. Identifying the genes expressed in liver metastases and signatures of metastatic progression would therefore be of particular importance as they could aid in both recurrence prediction as well as representing novel therapeutic targets. Keywords: Gene expression profiling We have performed microarray gene expression analysis of normal pancreas, primary pancreatic ductal adenocarcinoma (PDAC), normal liver and pancreatic liver metastases to identify potential therapeutic targets.