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Genome-wide analysis of esopageal adenocarcinoma tumor biopsy using high-density single-nucleotide polymorphism arrays.

ABSTRACT: We applied whole-genome single nucleotide polymorphism (SNP) arrays to define a comprehensive genetic profile of 23 esophageal adenocarcinoma (EAC) primary tumor biopsies based on loss of heterozygosity (LOH) and DNA copy number changes. Alterations were common, averaging 97 (range 23-208) per tumor. LOH and gains averaged 33 (range 3-83) and 31 (range 11-73) per tumor, respectively. Copy neutral LOH events averaged 27 (range 7-57) per EAC. We noted 126 homozygous deletions (HDs) across the EAC panel (range 0-11 in individual tumors). Frequent HDs within FHIT (17/23), WWOX (8/23) and DMD (6/23) suggest a role for common fragile sites or genomic instability in EAC etiology. HDs were also noted for known tumor suppressor genes (TSGs) including: CDKN2A, CDKN2B, SMAD4 and GALR1, and identified PDE4D and MGC48628 as potentially novel TSGs. All tumors showed LOH for most of chromosome 17p, suggesting that TSGs other than TP53 maybe targeted. Frequent gains were noted around MYC (13/23), BCL9 (12/23), CTAGE1 (14/23) and ZNF217 (12/23). Thus, we have confirmed previous reports indicating frequent changes to FHIT, CDKN2A, TP53 and MYC in EAC and identified additional genes of interest. Meta analysis of previous genome-wide EAC studies together with the data presented here, highlighted consistent regions of gain on 8q, 18q and 20q, and multiple LOH regions on 4q, 5q, 17p and 18q, suggesting that more than one gene may be targeted on each of these chromosome arms. The focal gains and deletions documented here are a step towards identifying the key genes involved in EAC development. Keywords: High Density SNP array

ORGANISM(S): Homo sapiens

PROVIDER: GSE10506 | GEO | 2008/06/01

SECONDARY ACCESSION(S): PRJNA107963

REPOSITORIES: GEO

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Project description:We applied whole-genome single nucleotide polymorphism (SNP) arrays to define a comprehensive genetic profile of 23 esophageal adenocarcinoma (EAC) primary tumor biopsies based on loss of heterozygosity (LOH) and DNA copy number changes. Alterations were common, averaging 97 (range 23-208) per tumor. LOH and gains averaged 33 (range 3-83) and 31 (range 11-73) per tumor, respectively. Copy neutral LOH events averaged 27 (range 7-57) per EAC. We noted 126 homozygous deletions (HDs) across the EAC panel (range 0-11 in individual tumors). Frequent HDs within FHIT (17/23), WWOX (8/23) and DMD (6/23) suggest a role for common fragile sites or genomic instability in EAC etiology. HDs were also noted for known tumor suppressor genes (TSGs) including: CDKN2A, CDKN2B, SMAD4 and GALR1, and identified PDE4D and MGC48628 as potentially novel TSGs. All tumors showed LOH for most of chromosome 17p, suggesting that TSGs other than TP53 maybe targeted. Frequent gains were noted around MYC (13/23), BCL9 (12/23), CTAGE1 (14/23) and ZNF217 (12/23). Thus, we have confirmed previous reports indicating frequent changes to FHIT, CDKN2A, TP53 and MYC in EAC and identified additional genes of interest. Meta analysis of previous genome-wide EAC studies together with the data presented here, highlighted consistent regions of gain on 8q, 18q and 20q, and multiple LOH regions on 4q, 5q, 17p and 18q, suggesting that more than one gene may be targeted on each of these chromosome arms. The focal gains and deletions documented here are a step towards identifying the key genes involved in EAC development. Keywords: High Density SNP array Here we use Illumina 317K whole-genome single-nucleotide polymorphism arrays to define a comprehensive allelotype of melanoma based on loss of heterozygosity (LOH) and copy number changes in a panel of 23 esophageal adenocarcinoma (EAC) primary tumor biopsies. Each EAC was paired to normal squamous biopsy from 40328 (GSM266078) to generate the log_R_ratio.

Project description:Post-transplant lymphoproliferative disorders (PTLD) are a major complication of solid organ transplantation and represent a cause of severe morbidity and mortality among transplanted patients. Apart from EBV infection, knowledge of the pathogenesis of monoclonal PTLD is limited. Powerful analysis techniques, such as whole genomic DNA profiling (arrayCGH), can improve our understanding of PTLD pathogenesis. Toward this aim, we obtained the whole genome profiling using the Affymetrix GeneChip Human Mapping 10k 2.0 from 20 cases of PTLD and we compared them with those assessed in 25 cases of DLBCL from immunocompetent patients, as a control group. Recurrent lesions were detected among all the samples. Chromosome 18q, 7q, 3q and 12 were the most common gains in DLBCL of immunocompetent hosts. Chromosomes 5p and 11p were commonly gained in PTLD-DLBCL. The latter had frequent losses of 6q, 17p, 1p, and 9p. Chromosome 12p was the most frequent target of deletions among PTLD-DLBCL. The LOH pattern was characterized by involvement of chromosomes 13q and 17p in DLBCL and 10, 1q, 9p and 11q among PTLD-DLBCL. Interestingly, LOH did not always match the DNA loss. In particular, chromosome 10 seemes to be targeted by uniparental disomy in PTLD. Small deletions and gains, involving both known (BCL2 and PAX5) and unknown genes (ZDHHC14), have been identified. Our data suggest that PTLD share, at a lower frequency, common genetic aberrations with DLBCL from immunocompetent patients. The demonstration of 9p13 amplification indicates the importance of PAX5 in PTLD. The combination of DNA copy number and LOH assessment lead to the hypothesis that uniparental disomy may be a potential mechanism in B-cell lymphomagenesis. Twenty specimens of monoclonal B-cell PTLD, collected from 20 solid organ transplant recipients. Experiment Overall Design: 20 PTLD samples. No technical replications. Experiment Overall Design: 25 DLBCL samples (20 patient + 5 cell lines). No technical replications.

Project description:Esophageal adenocarcinoma (EAC) has become a major concern in Western countries due to rapid rises in incidence coupled with very poor survival rates. One of the key risk factors for the development of this cancer is the presence of Barrett’s esophagus (BE), which is believed to form in response to repeated gastro-esophageal reflux. In this study we performed comparative, genome-wide expression profiling (using Illumina whole-genome Beadarray) on total RNA extracted from esophageal biopsy tissues from individuals with EAC, BE (in the absence of EAC) and those with normal squamous epithelium. We combined these data with publically accessible raw data from three similar studies to investigate key gene and ontology differences between these three tissue states. The results support the deduction that BE is a tissue with enhanced glycoprotein synthesis machinery (DPP4, ATP2A3, AGR2) designed to provide strong mucosal defenses aimed at resisting gastro-esophageal reflux. EAC exhibits the enhanced extracellular matrix remodeling (collagens, IGFBP7, PLAU) effects expected in an aggressive form of cancer, as well as evidence of reduced expression of genes associated with mucosal (MUC6, CA2, TFF1) and xenobiotic (AKR1C2, AKR1B10) defenses. When our results are compared to previous whole-genome expression profiling studies keratin, mucin, annexin and trefoil factor gene families are the most frequently represented gene families. Eleven genes identified here are also represented in at least 3 other profiling studies. We used these genes to discriminate squamous, BE and EAC within the two largest cohorts using a support vector machine leave one out cross validation analysis. While this method was satisfactory for discriminating squamous and BE, it demonstrates the need for more detailed investigations into profiling changes within BE leading to the progression towards EAC. A comparison of three esophageal biopsy groups from separate individuals: normal squamous (n=9), Barrett's esophagus without dysplasia (n=22) & adenocarcinoma (n=23). Adenocarcinoma samples overlap with members of DNA copy number analysis GEO series GSE10506 such that, in each case genomic DNA and total RNA were extracted from the same biopsy. The matching copy number data GEO samples IDs are noted in characteristics: Matching CN Sample ID

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Genome-wide analysis of esopageal adenocarcinoma tumor biopsy using high-density single-nucleotide polymorphism arrays.

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