Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA91365 | ENA |
REPOSITORIES: ENA
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Project description:B cell non-Hodgkin's lymphoma (B-NHL) consists of different pathological entities that are frequently characterized by distinct genetic alterations. However, the knowledge on these genetic lesions in B-NHL is still limited. In order to obtain a more comprehensive view of genetic lesions in B-NHL, we performed genome-wide analysis of copy number (CN) alterations as well as allelic imbalances using Affymetrix SNP arrays with B-NHL cases, including SNP array data were analyzed with CNAG/AsCNAR software, which enabled sensitive detection of CN alterations in allele-specific manner, and thus allelic imbalances, without depending on availability of paired normal controls. Most frequent numerical abnormalities in B-NHL were gains of chromosomes 3 and 18, although gains of chromosome 3 were less prominent in FL. Chromosomal deletions that lead to loss of heterozygosity (LOH) were commonly found in 1p, 6q and 10q. High-grade amplifications and homozygous deletions frequently provide a clue to identify relevant gene targets. In our series, 12 loci of high-grade amplifications and 14 loci of homozygous deletions were identified, and helped to specify the candidate genes. These regions included, FCGR2B amplified in 5 cases of DLBCL, RERE amplified in 2 cases of FL and CDKN2A/CDKN2B deleted in 9 cases of DLBCL. To identify oncogenic lesions in neuroblastoma, we performed a genome-wide analysis of primary tumor samples from 241 lymphoma samples (238 fresh tumors and 3 cell lines) using high-density 50K and/or 250K SNP arrays (Affymetrix GeneChip).
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Project description:This is a comprehensive genomic characterization of 40 urothelial bladder carcinoma (UBC) cell lines including information on origin, mutation status of genes implicated in bladder cancer (FGFR3, PIK3CA, TP53, and RAS), copy number alterations assessed using high density SNP arrays, uniparental disomy (UPD) events, and gene expression. Based on gene mutation patterns and genomic changes we identify lines representative of the FGFR3-driven tumor pathway and of the TP53/RB tumor suppressor-driven pathway. High-density array copy number analysis identified significant focal gains (1q32, 5p13.1-12, 7q11, and 7q33) and losses (i.e. 6p22.1) in regions altered in tumors but not previously described as affected in bladder cell lines. We also identify new evidence for frequent regions of UPD, often coinciding with regions reported to be lost in tumors. Previously undescribed chromosome X losses found in UBC lines also point to potential tumor suppressor genes. Cell lines representative of the FGFR3-driven pathway showed a lower number of UPD events. Overall, there is a predominance of more aggressive tumor subtypes among the cell lines. We provide a cell line classification that establishes their relatedness to the major molecularly-defined bladder tumor subtypes. The compiled information should serve as a useful reference to the bladder cancer research community and should help to select cell lines appropriate for the functional analysis of bladder cancer genes, for example those being identified through massive parallel sequencing. Copy Number Variations were assessed in 45 bladder cell lines, included in the UBC-40 Urothelial Bladder Cell Line Index, with Human1M-Duov3 DNA Analysis BeadChip platform
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Project description:CNA profiling using high-density DNA methylation arrays (SNP array)
| PRJNA212343 | ENA
Project description:This is a comprehensive genomic characterization of 40 urothelial bladder carcinoma (UBC) cell lines including information on origin, mutation status of genes implicated in bladder cancer (FGFR3, PIK3CA, TP53, and RAS), copy number alterations assessed using high density SNP arrays, uniparental disomy (UPD) events, and gene expression. Based on gene mutation patterns and genomic changes we identify lines representative of the FGFR3-driven tumor pathway and of the TP53/RB tumor suppressor-driven pathway. High-density array copy number analysis identified significant focal gains (1q32, 5p13.1-12, 7q11, and 7q33) and losses (i.e. 6p22.1) in regions altered in tumors but not previously described as affected in bladder cell lines. We also identify new evidence for frequent regions of UPD, often coinciding with regions reported to be lost in tumors. Previously undescribed chromosome X losses found in UBC lines also point to potential tumor suppressor genes. Cell lines representative of the FGFR3-driven pathway showed a lower number of UPD events. Overall, there is a predominance of more aggressive tumor subtypes among the cell lines. We provide a cell line classification that establishes their relatedness to the major molecularly-defined bladder tumor subtypes. The compiled information should serve as a useful reference to the bladder cancer research community and should help to select cell lines appropriate for the functional analysis of bladder cancer genes, for example those being identified through massive parallel sequencing.
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