Pancreatic ductal adenocarcinoma primary cultures enriched or not in cancer stem cells
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Illumina Genome Analyzer IIx
ORGANISM(S): Homo sapiens
SUBMITTER: Matthieu Schoenhals
PROVIDER: E-MTAB-3808 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Background & Aims: In gastrointestinal stromal tumors (GIST) KIT exon 11 deletions are associated with poor prognosis. The aim of this study was to determine the gene expression profile of GIST carrying KIT exon 11 deletions and to identify genes associated with poor prognosis. Methods: Expression profiling was performed on 9 tumors with KIT exon 11 deletions and 7 without KIT exon 11 mutations using oligonucleotide microarrays. In addition, gene expression profiles for 35 GISTs were analysed by meta-analysis. Differentially expressed genes were identified and confirmed by qPCR. Expression of CD133 (prominin-1) protein (AC133) was also examined by tissue microarray (TMA) analysis of 204 GISTs from a population-based study in Western Sweden. Survival analysis was performed using Cox regression model. Results: Gene expression profiling, meta-analysis and qPCR demonstrated up-regulation of the stem cell marker CD133 in GIST carrying KIT exon 11 deletions. Immunohistochemical analysis on TMA confirmed CD133 expression in 28% of all tumors. CD133 positivity was frequent in gastric GIST (48%) versus small intestinal GIST (4%). CD133 positivity was also frequent in GIST with KIT exon 11 mutations (41%) compared to tumors with mutations in KIT exon 9, PDGFRA, or wild-type tumors (0-17%). There was no significant correlation between CD133 staining and NIH risk score. Survival analysis demonstrated significant correlation between presence of CD133 and shorter overall survival. Conclusions: The stem cell marker CD133 is expressed in a subset of predominantly gastric GIST with KIT exon 11 mutations and associated with poor prognosis. Tumors with and without KIT exon 11 deletion were compared using a common reference design.
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2018-03-31 | E-MTAB-4659 | biostudies-arrayexpress
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Project description:Pancreatic ductal adenocarcinoma (PDAC) remains a major unsolved health problem. Most drugs that pass preclinical tests fail in these patients, emphasizing the need of appropriate preclinical models to test novel anticancer strategies. We developed four orthotopic mouse models employing primary human PDAC cells expressing Firefly and Gaussia luciferases, enabling bioluminescence monitoring of tumor growth and metastasis formation. Additional tumor characterization was performed using MR and high frequency ultrasound imaging. Genomic and immunohistochemical analysis revealed c-Met amplification and overexpression in one of four models. Analysis of c-Met inhibitors in vitro showed that crizotinib had the most potent effect. Moreover, we demonstrated synergistic effects between crizotinib and gemcitabine M-bM-^@M-^S the standard of care therapeutic in PDAC patients - in vitro and in vivo. Importantly, crizotinib reduced the cytidine deaminase activity in PDAC cells causing prolonged activity of gemcitabine due to diminished metabolic inactivation, as measured by LC-MS/MS. This might at least in part explain the observed prolonged survival of concomitantly treated mice with PDAC tumors and metastases. In conclusion, our orthotopic PDAC models enabled PDAC tumor imaging, and showed genetic, histopathological and metastatic features similar to their originator tumors. This allowed the identification of c-Met as a potential therapeutic target in PDAC, and revealed a cytidine deaminase-mediated synergistic mechanism between crizotinib and gemcitabine, a combination of drugs that warrants further investigation for the potential treatment of PDAC patients. 12 test samples in total [4 PDAC models (PDAC-1, PDAC-2, PDAC-3, PDAC-4; in three panel: primary human PDAC, primary tumor culture and mouse sample)] and reference sample (healthy control (mix/pool of healthy volunteers DNA) were analyzed as following (8 hybridizations); PDAC-1 primary human-Cy3 vs PDAC-4 cultured cells -Cy5 PDAC-1 cultured cells-Cy3 vs PDAC-4 mouse-Cy5 PDAC-1 mouse-Cy3 vs reference-Cy5 PDAC-2 primary human-Cy3 vs reference-Cy5 PDAC-2_cultured cells-Cy3 vs PDAC-2 mouse-Cy5 PDAC-3_primary human-Cy3 vs reference-Cy5 PDAC-3_cultured cells-Cy3 vs PDAC-3 mouse-Cy5 PDAC-4 primary human-Cy5 vs reference-Cy3 Normalized log2 ratio of (sample/references) data were calculated for 12 samples [*txt files on Series records]. Description of experimental/analysis design in r-program to generate 12 samples from 8 raw data files is provided in README.txt [Series supplementary file]
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Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2015-02-03 | E-GEOD-47537 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2016-01-19 | E-GEOD-65546 | biostudies-arrayexpress
Project description:Pancreatic adenocarcinoma (PDAC) is one of the most lethal human malignancies and a major health problem. Patient-derived tumor xenografts (PDTXs) have been increasingly used as a prime approach for preclinical studies despite being insufficiently characterized as a model of the human disease and its diversity. Extensive multiomics characterization of these PDTXs have demonstrated their utility as a suitable model for preclinical studies, representing the diversity of the primary cancers. We performed a multi-factorial integrative analysis of genome-wide ChIP-seq on multiple histone modifications, as well as RNA-seq on subcutaneous PDTXs from 24 PDAC samples obtained either surgically or using diagnostic biopsies (endoscopic ultrasound guided fine needle aspirate). In the dataset, ChIP-seq for five distinct histone marks (H3K4me1, H3K27ac, H3K4me3, H3K27me3, and H3K9me3) and RNA-seq was carried out to generate new knowledge on the epigenetic landscapes underlying the heterogeneity of PDAC tissues grown in this manner. <br>Note: Sample phenotypes have been updated on 2020-09-11 to correct the swapped labels between \"classical\" and \"basal\" phenotypes.
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