Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Primary_Melanoma_Expression

ABSTRACT: Comparison of gene expression patterns between primary melanomas with distinct biological parameters: our study applied different experimental factor types for comparisons, namely tumor surface ulceration, metastasis formation, and disease stage by Clark level and Breslow thickness. Our aim was to describe molecular signalling of primary melanomas based on differently expressed genes and to identify experimental factors that influenced by differently expressed genes. This assessment led us to map the most prevalent alterations associated with this clinical parameter.Out further aim was to conduct an integrated gene expression and copy number analysis combining our results from Affymetrix and NimbleGen microarrays. The main purpose of this part of the study was to give functional relevance to the copy number events by providing a statistically powerful integrated interpretation of gene expression changes and copy number alterations.

ORGANISM(S): Homo sapiens

SUBMITTER: Ecsedi Szilvia

PROVIDER: E-MTAB-946 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Cutaneous, ocular and mucosal melanomas are histologically indistinguishable tumors that are driven by different spectrum of genetic alterations. With current methods, identification of the site of origin of a melanoma metastasis is challenging, in particular when the metastasis is the first tumor manifestation. Genome wide DNA methylation profiling has shown promise for the identification of the site of tumor origin in various settings. Here we explore the DNA methylation landscape of melanomas from different sites and analyze if different melanoma origins can be distinguished by their epigenetic profile. We performed DNA methylation analysis, next generation DNA panel sequencing and copy number analysis of 82 non-cutaneous and 25 cutaneous melanoma samples. We further analyzed eight normal melanocyte cell culture preparations by DNA methylation profiling. DNA methylation analysis clearly separated uveal melanomas from melanomas of other primary sites while mucosal, conjunctival and cutaneous melanomas were epigenetically almost identical. Still, we observed DNA methylation differences in cancer-related genes, such as low frequencies of RARB and CDKN2A promoter methylation in mucosal melanomas, while conjunctival melanomas frequently harbored APC promoter methylation. Furthermore, all investigated melanomas of the paranasal sinus showed loss of PTEN expression, mainly caused by promoter methylation. This was less frequently seen in melanomas of other sites. Copy number analysis revealed recurrent amplifications in mucosal melanomas, including chromosome 4q, 5p, 11q and 12q. Most melanomas of the oral cavity showed gains of chromosome 5p with TERT amplification while 11q amplifications were enriched in melanomas of the nasal cavity. Mucosal, conjunctival and cutaneous melanomas show a surprisingly similar DNA methylation profile and identification of the site of origin by DNA methylation testing is likely not feasible. Still, our study shows that there are DNA methylation differences on the gene level in known tumor drivers, related to the anatomical primary site.

Project description:Introduction: A major challenge in the interpretation of genomic profiling data generated from breast cancer samples is the identification of driver genes as distinct from bystander genes which do not impact tumorigenesis. One way to assess the relative importance of alterations in the transcriptome profile is to combine complementary analyses that assess changes in the copy number alterations (CNAs). This integrated analysis permits the identification of genes with altered expression that map within specific chromosomal regions that demonstrate copy number alterations, providing a mechanistic approach to identify the 'driver genesâ. Methods: We have performed whole genome analysis of CNAs using the Affymetrix 250K Mapping array on 22 infiltrating ductal carcinoma samples (IDCs). Analysis of transcript expression alterations was performed using the Affymetrix U133 Plus2.0 array on 16 IDC samples. Twelve IDC samples were analyzed using both platforms and the data integrated. We also incorporated data from LOH analysis to identify genes showing loss of expression in LOH regions. Results: Copy number analysis results demarcated smaller boundaries for many previously reported CNAs, and in some cases, the CNAs were defined as more than a single contiguous event. Additionally, we were able to assign driver genes to these commonly reported regions using a rigorous methodology. For example, RAB25 showed a large increased expression in the tumors and mapped to the commonly reported amplification at 1q22. We also identified 5 genes in the 8q24 amplicon and TSEN4 in the 17q25 amplified region. LOH analysis confirmed some previously reported regions, and integration with copy number data determined that the detected LOH were copy neutral events. Finally, we have identified several RXR pathways that demonstrated down-regulation in IDC whose members may represent further targets of therapeutic intervention. Conclusion: We have demonstrated the utility of the application of integrated analysis using high-resolution CGH and whole genome transcript analysis for detecting driver genes in IDC. The high resolution platform allowed a refined demarcation of CNAs, and gene expression profiling provided a mechanism to detect genes directly impacted by the CNA. This is the first report of LOH in IDC using a high resolution platform. 16 IDC samples analyzed with the U133 Plus 2.0 array compared to 4 normal control samples.

Dataset Information

Primary_Melanoma_Expression

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure