Genome-Wide Analysis of Somatic Copy Number Alterations (CGH, SNP) and Gene Expression (RNA-seq) in Metastatic Melanoma
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE22928 | GEO | 2011/04/07
SECONDARY ACCESSION(S): PRJNA133103
REPOSITORIES: GEO
Similar Datasets
Project description:All cancers are diseases of the genome. A combination of somatic point mutations, focal amplifications and deletions, and chromosome level aberrations conspire to disrupt gene expression and the interplay between signaling pathways that control normal growth and tissue homeostasis. Here we investigate somatic copy number abberations in metastatic melanomas. A metastatic melanoma was assayed on Affymetrix SNP arrays to detect copy number abberations. 7 cutaneous melanomas as well as their matched control ( peripheral blood lymphocytes (PBL) or Epstein-Barr virus transformed lymphoblastoid cell lines ) and 2 control melanocytes were assayed on Illumina SNP arrays. 7 metastatic melanomas were hybridized on Agilent CGH arrays using donor matched control as reference.
2011-04-07 | E-GEOD-22928 | biostudies-arrayexpress
Project description:All cancers are diseases of the genome. A combination of somatic point mutations, focal amplifications and deletions, and chromosome level aberrations conspire to disrupt gene expression and the interplay between signaling pathways that control normal growth and tissue homeostasis. Here we investigate transcript levels in 7 melanomas and a pool of melanocytes. The transcriptome from 7 cutaneous melanomas and a pool of 2 normal melanocyte cultures was sequenced using the 454 technology
2011-04-07 | E-GEOD-22932 | biostudies-arrayexpress
Project description:All cancers are diseases of the genome. A combination of somatic point mutations, focal amplifications and deletions, and chromosome level aberrations conspire to disrupt gene expression and the interplay between signaling pathways that control normal growth and tissue homeostasis. Here we investigate transcript levels in 7 melanomas and a pool of melanocytes.
2011-04-07 | GSE22932 | GEO
Project description:SNP arrays were used to derive copy number estimates and identify amplifications and deletions in melanomas These copy number breakpoints were compared to gene fusions identified by second generation sequencing of cDNA
2010-02-01 | GSE17359 | GEO
Project description:A powerful way to discover key genes playing causal roles in oncogenesis is to identify genomic regions that undergo frequent alteration in human cancers. We have reported high-resolution analyses of somatic copy-number alterations (SCNAs) from 3131 cancer specimens, belonging largely to 26 histological types. We identify 158 regions of focal SCNA that are altered at significant frequency across multiple cancer types, of which 122 cannot be explained by the presence of a known cancer target gene located within these regions. Several candidate genes and families are enriched among these regions of focal SCNA, including members of the BCL2 family of apoptosis regulators and the NF-κΒ pathway. We show that cancer cells harboring amplifications surrounding the MCL1 and BCL2L1 anti-apoptotic genes depend upon expression of these genes for survival. Finally, we demonstrate that a large majority of SCNAs identified in individual cancer types are present in multiple cancer types.
2010-02-18 | GSE19399 | GEO
Project description:Epilepsy is a heterogenous group of disorders defined by recurrent seizure activity due to abnormal synchronized activity of neurons. A growing number of epilepsy cases are believed to be caused by genetic factors and copy number variants (CNV) contribute to up to 5% of epilepsy cases. However, CNVs in epilepsy are usually large deletions or duplications involving multiple neurodevelopmental genes. Here we identify focal amplifications of regulatory regions of receptor tyrosine kinase genes as a genetic abnormality in epileptogenic brains. Whole genome DNA methylation profiling identified three main clusters of which one showed strong association with receptor tyrosine kinase genes. By copy number analysis, we identified focal copy number gains involving EGFR and PDGFRA in brain tissue of patients who underwent seizure focus resection for treatment-resistant epilepsy. The dysplastic neurons showed marked overexpression of pEGFR and pPDGFRA, while glial and endothelial cells were negative. Sequencing and DNA methylation analysis revealed that enhancer regions of EGFR and PDGFRA gene promoter were amplified, while coding regions did not show copy number abnormalities or somatic mutations. Our results identify somatic focal copy number gains of noncoding regulatory regions in the brain as a previously unrecognized genetic driver in epilepsy. Somatic copy number aberrations of regulatory regions represent a mechanism of abnormal activation of receptor tyrosine kinase genes in epilepsy. Upregulated receptor tyrosine kinases provide a potential avenue for therapy in seizure disorders.
2021-07-13 | GSE157989 | GEO
Project description:Melanomas on mucosal membranes, acral skin (soles, palms, and nail bed), and skin with chronic sun-induced damage have infrequent mutations in BRAF and NRAS, genes within the mitogenactivated protein (MAP) kinase pathway commonly mutated in melanomas on intermittently sun-exposed skin. This raises the question of whether other aberrations are occurring in the MAP kinase cascade in the melanoma types with infrequent mutations of BRAF and NRAS. Oncogenic mutations in KIT were found in three of seven tumors with amplifications. Examination of all 102 primary melanomas found mutations and/or copy number increases of KIT in 39% ofmucosal, 36% of acral, and 28% of melanomas on chronically sun-damaged skin, but not in any (0%) melanomas on skin without chronic sun damage. Seventy-nine percent of tumors with mutations and 53% of tumors with multiple copies of KIT demonstrated increased KIT protein levels. KIT is an important oncogene in melanoma. Because the majority of the KIT mutations we found in melanoma also occur in imatinib-responsive cancers of other types, imatinib may offer an immediate therapeutic benefit for a significant proportion of the global melanoma burden. Keywords: melanoma, oncogene, comparative genomic hybridization, KIT
2006-09-09 | GSE4747 | GEO
Project description:Using data from high-density genomic profiling arrays, we describe the profiles of somatic copy-number aberrations (SCNAs) in 486 adenocarcinomas across all three major digestive organs, including 296 gastric and esophageal cancers. This analysis revealed that although patterns of broad, chromosome arm-level alterations are similar across the three types of adenocarcinoma, focal genomic amplifications are substantially more prevalent in gastric/esophageal adenocarcinoma. A statistical analysis identified 64 regions of significantly recurrent amplification and deletion, including those shared across these tumors and those uniquely significant in adenocarcinomas from a single organ. Among significantly amplified genes are those encoding therapeutically targetable kinases such as ERBB2, FGFR1, FGFR2, EGFR, and MET, events noted in 14% of colorectal adenocarcinomas and 37% of gastric/esophageal tumors suggesting that analysis of genomic amplification will be a critical source of biomarkers to guide therapies in upper gastrointestinal adenocarcinomas. While many of the other significant loci of amplifications implicate genes recognized to play roles in gastrointestinal and other cancers, other loci point to regions that may harbor novel genes contributing to these cancers. One such event is a recurrent focal deletion present in 15% of esophageal adenocarcinomas, which we narrow to a single likely target, the Runt transcription factor subunit RUNX1. Indeed, reintroduction of RUNX1 into a cell model with this deletion inhibited anchorage-independent growth. Overall, these results demonstrate genomic features common to these tumors and identify key differences that reflect distinctive biology and potential opportunities for therapeutic intervention.
2012-09-04 | GSE36459 | GEO
Project description:Using data from high-density genomic profiling arrays, we describe the profiles of somatic copy-number aberrations (SCNAs) in 486 adenocarcinomas across all three major digestive organs, including 296 gastric and esophageal cancers. This analysis revealed that although patterns of broad, chromosome arm-level alterations are similar across the three types of adenocarcinoma, focal genomic amplifications are substantially more prevalent in gastric/esophageal adenocarcinoma. A statistical analysis identified 64 regions of significantly recurrent amplification and deletion, including those shared across these tumors and those uniquely significant in adenocarcinomas from a single organ. Among significantly amplified genes are those encoding therapeutically targetable kinases such as ERBB2, FGFR1, FGFR2, EGFR, and MET, events noted in 14% of colorectal adenocarcinomas and 37% of gastric/esophageal tumors suggesting that analysis of genomic amplification will be a critical source of biomarkers to guide therapies in upper gastrointestinal adenocarcinomas. While many of the other significant loci of amplifications implicate genes recognized to play roles in gastrointestinal and other cancers, other loci point to regions that may harbor novel genes contributing to these cancers. One such event is a recurrent focal deletion present in 15% of esophageal adenocarcinomas, which we narrow to a single likely target, the Runt transcription factor subunit RUNX1. Indeed, reintroduction of RUNX1 into a cell model with this deletion inhibited anchorage-independent growth. Overall, these results demonstrate genomic features common to these tumors and identify key differences that reflect distinctive biology and potential opportunities for therapeutic intervention.
2012-09-04 | GSE36458 | GEO
Project description:Using data from high-density genomic profiling arrays, we describe the profiles of somatic copy-number aberrations (SCNAs) in 486 adenocarcinomas across all three major digestive organs, including 296 gastric and esophageal cancers. This analysis revealed that although patterns of broad, chromosome arm-level alterations are similar across the three types of adenocarcinoma, focal genomic amplifications are substantially more prevalent in gastric/esophageal adenocarcinoma. A statistical analysis identified 64 regions of significantly recurrent amplification and deletion, including those shared across these tumors and those uniquely significant in adenocarcinomas from a single organ. Among significantly amplified genes are those encoding therapeutically targetable kinases such as ERBB2, FGFR1, FGFR2, EGFR, and MET, events noted in 14% of colorectal adenocarcinomas and 37% of gastric/esophageal tumors suggesting that analysis of genomic amplification will be a critical source of biomarkers to guide therapies in upper gastrointestinal adenocarcinomas. While many of the other significant loci of amplifications implicate genes recognized to play roles in gastrointestinal and other cancers, other loci point to regions that may harbor novel genes contributing to these cancers. One such event is a recurrent focal deletion present in 15% of esophageal adenocarcinomas, which we narrow to a single likely target, the Runt transcription factor subunit RUNX1. Indeed, reintroduction of RUNX1 into a cell model with this deletion inhibited anchorage-independent growth. Overall, these results demonstrate genomic features common to these tumors and identify key differences that reflect distinctive biology and potential opportunities for therapeutic intervention. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from 87 cancer DNAs derived from primary tumor tissues, as well as from DNA obtained from 1,480 normal DNA samples. Signal intensities were normalized to raw copy number estimates using the tangent normalization method, as described in Beroukhim et al., In Press and Mermel et al., In preparation. The 250K Sty data from this submission were combined with data for 128 colon adenocarcinomas (Firestein et al, Nature 2008) and segmented using GLAD. These segmented data were then combined with segmented SNP 6.0 data for 62 colon, 97 gastric and 112 esophageal adenocarcinomas using common markers to anchor the segments. Data analysis across samples was performed using this GISTIC 2.0 algorithm (Mermel C et al, Genome Biology 2011).
2012-09-04 | E-GEOD-36459 | biostudies-arrayexpress