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Array Comparative Genomic Hybridization of Pancreatic Xenografts and Cell Lines

ABSTRACT: Array Comparative Genomic Hybridization (aCGH) of 70 pancreatic ductal adenocarcinoma (PDAC) samples was performed on Agilent 244K CGH arrays in order to find common genomic aberrations for cancer gene discovery. Additionally, matched expression profiling on Agilent 44K arrays was performed. Common copy number aberrations were identified in order to identify a list of putative cancer genes. Expression profiling data was used to further enrich this list of putative cancer genes for more likely candidates. Last, the most promising candidates were functionally interrogated using RNA interference-mediated knockdown to mimic loss. Well-known PDAC cancer genes were observed as amplified (KRAS and MYC) and deleted (CDKN2A, TGFBR2, SMAD4, and MAP2K4).

ORGANISM(S): Homo sapiens

PROVIDER: GSE25273 | GEO | 2011/12/15

SECONDARY ACCESSION(S): PRJNA142575

REPOSITORIES: GEO

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Array Comparative Genomic Hybridization of Pancreatic Xenografts and Cell Lines

Project description:Array Comparative Genomic Hybridization (aCGH) of 70 pancreatic ductal adenocarcinoma (PDAC) samples was performed on Agilent 244K CGH arrays in order to find common genomic aberrations for cancer gene discovery. Additionally, matched expression profiling on Agilent 44K arrays was performed. Common copy number aberrations were identified in order to identify a list of putative cancer genes. Expression profiling data was used to further enrich this list of putative cancer genes for more likely candidates. Last, the most promising candidates were functionally interrogated using RNA interference-mediated knockdown to mimic loss. Well-known PDAC cancer genes were observed as amplified (KRAS and MYC) and deleted (CDKN2A, TGFBR2, SMAD4, and MAP2K4). 70 tumor samples (48 xenografts, 22 cell lines). 2-color arrays hybridized against a common reference pool of genomic DNA from 8 normal individuals. This dataset represents the aCGH component of the study.

2011-12-15 | E-GEOD-25273 | biostudies-arrayexpress

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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.

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2014-05-06 | E-GEOD-57303 | biostudies-arrayexpress

Array CGH analysis for 29 pancreatic ductal adenocarcinoma (PDAC) samples

Project description:Background/Aims: Microarray-based comparative genomic hybridisation (CGH) has allowed high-resolution analysis of DNA copy number alterations across the entire cancer genome. Recent advances in bioinformatics tools enable us to perform a robust and highly sensitive analysis of array CGH data and facilitate the discovery of novel cancer-related genes. Methods: We analysed a total of 29 pancreatic ductal adenocarcinoma (PDAC) samples (six cell lines and 23 microdissected tissue specimens) using 1 Mb-spaced CGH arrays. The transcript levels of all genes within the identified regions of genetic alterations were then screened using our Pancreatic Expression Database. Results: In addition to 238 high-level amplifications and 35 homozygous deletions, we identified 315 minimal common regions of “non-random” genetic alterations (115 gains and 200 losses) which were consistently observed across our tumour samples. The small size of these aberrations (median size of 880 kb) contributed to the reduced number of candidate genes included (on average 12 Ensembl-annotated genes). The database has further specified the genes whose expression levels are consistent with their copy number status. Such genes were UQCRB, SQLE, DDEF1, SLA, ERICH1 and DLC1, indicating that these may be potential target candidates within regions of aberrations. Conclusion: This study has revealed multiple novel regions that may indicate the locations of oncogenes or tumour suppressor genes in PDAC. Using the database, we provide a list of novel target genes whose altered DNA copy numbers could lead to significant changes in transcript levels in PDAC. (Harada et al. Pancreatology) Keywords: pancreatic ductal adenocarcinima, tissue microdissection, array CGH, genetic alterations A panel of 23 microdissected PDAC tissues and 6 PDAC-derived cell lines were analysed using Sanger's CGH arrays with 1 Mb resolution. Clinical info of the samples used is provided as a supplementary file.

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Frozen tumour samples of 131 gastric cancer patients [array CGH]

Project description:We sought to illustrate molecular subtypes associated with clinical prognosis and to identify genetic aberrations for potential targeted therapeutics through comprehensive whole-genome analysis of 131 Chinese gastric cancer tissue specimens using whole-genome array CGH. We profiled 131 Chinese gastric cancer genomes using Agilent 244K array CGH technology. 70 samples Among them were further profiled by Affymetrix Hu133Plus2 arrays for mRNA expression.

2014-05-06 | E-GEOD-57302 | biostudies-arrayexpress

Recurrent 11q aberrations in MYC-neg mature aggressive B-cell lymphomas resembling BL

Project description:Copy number analysis using Agilent 244k or 180k (Case9) arrays was performed for 8 MYC-negative B-cell lymphomas, with sex-matched control DNAs

2014-01-10 | GSE47506 | GEO

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Project description:Genomic copy number aberrations of 11 gastric cancer cell lines were analyzed by 244k CGH array from Agilent Technologies. Based on this results, we separated the 11 cell lines into 2 groups, with and without copy number increase at chromosome 20q13 We performed array comparative genomic hybridization to detect genomic copy number aberrations in 11 gastric cancer cell lines. Microarray images were analyzed by using Feature Extraction and DNA analytics softwares.

2016-04-01 | E-GEOD-67604 | biostudies-arrayexpress

Array CGH analysis for 29 pancreatic ductal adenocarcinoma (PDAC) samples

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