Project description:Pancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer with a dismal prognosis. Currently, there is no effective therapy to treat PDAC, and thus detailed molecular and functional evaluation of PDAC is needed to identify and develop better therapeutic strategies. Here we show that the transcription factor Kruppel-like factor 7 (KLF7) is overexpressed in PDAC and that inhibition of KLF7 blocks PDAC tumor growth and metastasis in cell culture and in mice. KLF7 expression in PDAC can be upregulated due to activation of a MAP kinase pathway or inactivation of the tumor suppressor p53, two alterations that occur in a large majority of PDACs. ShRNA-mediated knockdown of KLF7 inhibits the expression of interferon-stimulated genes (ISGs), which are necessary for KLF7-mediated PDAC tumor growth and metastasis. KLF7 knockdown also results in the downregulation of Discs Large MAGUK Scaffold Protein 3 (DLG3), resulting in Golgi complex fragmentation, and reduced protein glycosylation leading to reduced secretion of cancer-promoting growth factors such as chemokines. Genetic or pharmacological activation of Golgi complex fragmentation blocks PDAC growth and metastasis similar to KLF7 inhibition. Our results demonstrate a therapeutically amenable, KLF7-driven pathway that promotes PDAC growth and metastasis by activating ISGs and maintaining Golgi complex integrity.
Project description:Pancreatic adenocarcinoma (PDAC) is one of the most lethal human malignancies and a major health problem. Patient-derived xenografts (PDX) are appearing as a prime approach for preclinical studies despite being insufficiently characterized as a model of the human disease and its diversity. We generated subcutaneous PDX from PDAC samples obtained either surgically or using diagnostic biopsies (endoscopic ultrasound guided fine needle aspirate). The extensive multiomics characterization of the xenografts demonstrated that PDX is a suitable model for preclinical studies, representing the diversity of the primary cancers. We generated subcutaneous PDX from PDAC samples obtained either surgically or using diagnostic biopsies (endoscopic ultrasound guided fine needle aspirate). The variable 'MultiOmicsClassification' indicates the resulting sample's group. 'CIMPclass' is the CpG island methylator phenotype as estimated from the methylation arrays analysis. In this dataset, Illumina Infinium HumanCode-24 BeadChips SNP arrays were used to analyze the DNA xenografts samples from pancreatic ductal adenocarcinoma.
Project description:Pancreatic adenocarcinoma (PDAC) is one of the most lethal human malignancies and a major health problem. Patient-derived xenografts (PDX) are appearing as a prime approach for preclinical studies despite being insufficiently characterized as a model of the human disease and its diversity. We generated subcutaneous PDX from PDAC samples obtained either surgically or using diagnostic biopsies (endoscopic ultrasound guided fine needle aspirate). The extensive multiomics characterization of the xenografts demonstrated that PDX is a suitable model for preclinical studies, representing the diversity of the primary cancers. this dataset, describe the RNA sequencing data used in the multiomics study.
Project description:Alternative splicing is a key event to human transcriptome and proteome diversity and complexity. Recent evidence suggests that pancreatic cancer might possess particular patterns of splice variation that influence the function of individual genes contributing to tumour progression in this disease. The identification of new pancreatic cancer-associated splice variants would offer opportunities for novel diagnostics and potentially also represent novel therapeutic targets. In this dataset, we investigated the alterations in the splicing machinery in pancreatic adenocarcinoma (PDAC) specimens with full clinicopathological details, in comparisons to adjacent pancreatic tissues and normal tissues from donors.
Project description:Alternative splicing is a key event to human transcriptome and proteome diversity and complexity. Recent evidence suggests that pancreatic cancer might possess particular patterns of splice variation that influence the function of individual genes contributing to tumour progression in this disease. The identification of new pancreatic cancer-associated splice variants would offer opportunities for novel diagnostics and potentially also represent novel therapeutic targets. In this dataset, we investigated the alterations in the splicing machinery in pancreatic adenocarcinoma (PDAC) specimens with full clinicopathological details, in comparisons to adjacent pancreatic tissues and normal tissues from donors.
Project description:Protein arginine methylation has been established an essential protein modification regulating cancer initiation and progression, but its implications in PDAC (Pancreatic ductal adenocarcinoma) still remains poorly elucidated. In this study, we characterized ADMA (asymmetric dimethylarginine)-bearing peptides in human pancreatic ductal epithelium cell line HPDE6c7 and PDAC cell line PANC-1 by a label-free quantitative proteomics combined with affinity purification.
Project description:Currently, the majority of patients diagnosed with pancreatic ductal adenocarcinoma (PDAC) present with locally invasive and/or metastatic disease, resulting in five-year survival of less than 5%. The development of an early diagnostic test is, therefore, expected to significantly impact the patient’s prognosis. In this feasibility study, we demonstrate for the first time the utility of miRNA biomarkers for non-invasive, early detection of PDAC in urine specimens.
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:Determine methylation pattern in PDAC a genome-wide analysis was performed in a cohort of 167 PDAC and 29 adjacent pancreatic tissues samples using the Infinium 450k methylation arrays (Illumina). 167 pancreatic tumors (PDAC) x 29 adjacent -non tumor samples.