Project description:Four vehicle-treated and four HhAntag-treated pancreatic xenograft tumors were profiled for gene expression changes using Affymetrix U133 Plus 2.0 and Affymetrix Mouse Genome 430 2.0 arrays. Keywords: comparative gene expression, hedgehog, hh
Project description:Four vehicle-treated and four HhAntag-treated pancreatic xenograft tumors were profiled for gene expression changes using Affymetrix U133 Plus 2.0 and Affymetrix Mouse Genome 430 2.0 arrays. Keywords: comparative gene expression, hedgehog, hh A primary human pancreatic tumor xenograft (1051178-A) was established by direct implantation of surgical material into female CD1 nu/nu mice of 6-8 weeks of age. Tumors were serially passaged into larger cohorts of mice for efficacy testing and subsequently distributed into tumor volume-matched cohorts upon tumors reaching between 200 to 350 mm3. HhAntag was resuspended in 0.5% methyl-cellulose, 0.2% Tween-80 (MCT) and administered orally twice daily at 75 mg/kg from a 10 mg/ml suspension. MCT alone served as vehicle control. Tumor xenografts (4/group) were excised following 21 days of dosing and RNA was extracted. Preparation of complementary RNA, Human Genome U133 Plus 2.0 array and Mouse Genome 430 2.0 array hybridizations, and subsequent data analysis were carried out using Affymetrix protocols, with signal intensities being determined by the MAS5.0 algorithm.
Project description:This SuperSeries is composed of the following subset Series: GSE25273: Array Comparative Genomic Hybridization of Pancreatic Xenografts and Cell Lines GSE26088: Expression Profiling of Pancreatic Xenografts and Cell Lines Refer to individual Series
Project description:Expression profiling of 70 Pancreatic Ductal Adenocarcinoma (PDAC) samples was performed on Agilent 44K expression arrays for cancer gene discovery. Additionally, matched aCGH on Agilent 244K arrays was performed. These two datasets were integrated in order to identify driver mutations leading to pancreatic cancer. Promising candidates were interrogated further using functional studies. 68 tumor samples (48 xenografts, 20 cell lines). 2 color arrays hybridized against a common reference pool of RNA from 11 cancer cell lines
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:Expression profiling of 70 Pancreatic Ductal Adenocarcinoma (PDAC) samples was performed on Agilent 44K expression arrays for cancer gene discovery. Additionally, matched aCGH on Agilent 244K arrays was performed. These two datasets were integrated in order to identify driver mutations leading to pancreatic cancer. Promising candidates were interrogated further using functional studies.