DNA-methylation profiling of melanoma metastases
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ABSTRACT:
PROVIDER: PRJNA838855 | ENA |
REPOSITORIES: ENA
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Project description:Genome-wide DNA-methylation profiling of intra- and extracranial melanoma metastases. The goal of the study was to identify differences between methylomes of intra- and extracranial metastases. For each metastasis, FFPE material was used to extract genomic DNA from a punch biopsy of a marked metastasis area. The Illumina Infinium MethylationEPIC array was used for hybridization.
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Project description:Melanoma is one of the most aggressive and treatment-resistant cancers. It represents the most life-threatening neoplasm of the skin, and its incidence has been increasing for the last three decades. Melanoma evolves from the local transformation of melanocytes to primary tumors, which can metastasize to multiple organs. Brain metastases represent one of the most significant causes of death in cutaneous melanoma patients. Despite aggressive multi-modality threapy, patients with melanoma brain metastasis have a median survival of less than a year, with a majority of these patients dying as a result of their intracranial disease. We aimed to find brain metastasis-specific molecular markers. To identify alterations in DNA methylation related to brain metastasis, we used Illumina 450K BeadChips to assess differentially methylated regions in melanocytes, primary melanomas, lymph node metastases, and brain metastases. Bisulphite-converted DNA from 40 specimens was hybridised to the Illumina Infinium 450k Human Methylation BeadChip.
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Project description:DNA methylation profiling of normal prostates from organ donors and prostate cancer metastases from a rapid autopsy cohort of lethal metastatic prostate cancer
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Project description:DNA methylation profiling of normal prostates from organ donors and prostate cancer metastases from a rapid autopsy cohort of lethal metastatic prostate cancer Multiple anatomically distinct metastases from each of five patients. Normal prostate samples from organ donors
2013-02-04 | E-GEOD-38073 | biostudies-arrayexpress
Project description:Melanoma is one of the most aggressive and treatment-resistant cancers. It represents the most life-threatening neoplasm of the skin, and its incidence has been increasing for the last three decades. Melanoma evolves from the local transformation of melanocytes to primary tumors, which can metastasize to multiple organs. Brain metastases represent one of the most significant causes of death in cutaneous melanoma patients. Despite aggressive multi-modality threapy, patients with melanoma brain metastasis have a median survival of less than a year, with a majority of these patients dying as a result of their intracranial disease. We aimed to find brain metastasis-specific molecular markers. To identify alterations in DNA methylation related to brain metastasis, we used Illumina 450K BeadChips to assess differentially methylated regions in melanocytes, primary melanomas, lymph node metastases, and brain metastases.
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Project description:An improved understanding of the molecular pathogenesis of brain metastases, one of the most common and devastating complications of advanced melanoma, may identify and prioritize rational therapeutic approaches for this disease. In particular, the identification of molecular differences between brain and extracranial metastases would support the need for the development of organ-specific therapeutic approaches. Hotspot mutations, copy number variations (CNV), global mRNA expression patterns, and protein expression and activation, quantitatively analyzed by molecular inversion probe arrays, microarrays and reverse phase protein array (RPPA) were evaluated in pairs of melanoma brain metastases and extracranial metastases from patients who had undergone surgical resection for both types of tumors. Seventy-two samples from 52 brain (except for patient 01, who had a spinal cord metastasis) and extracranial metastases of melanoma were analyzed. Available biological replicates (different parts of the same tumor) were included.
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Project description:An improved understanding of the molecular pathogenesis of brain metastases, one of the most common and devastating complications of advanced melanoma, may identify and prioritize rational therapeutic approaches for this disease. In particular, the identification of molecular differences between brain and extracranial metastases would support the need for the development of organ-specific therapeutic approaches. Hotspot mutations, copy number variations (CNV), global mRNA expression patterns, and protein expression and activation, quantitatively analyzed by molecular inversion probe arrays, microarrays and reverse phase protein array (RPPA) were evaluated in pairs of melanoma brain metastases and extracranial metastases from patients who had undergone surgical resection for both types of tumors.
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Project description:Epigenetic regulation of tumor suppressor genes (TSGs) has been shown to play a central role in melanomagenesis. Integrating gene expression and methylation array analysis we identified novel candidate TSGs frequently methylated in melanoma. We validated the methylation status of the most promising TSGs using the highly sensitive, specific and comprehensive Sequenom Epityper assay in a large panel of melanoma cell lines and resected melanomas, and compared the findings with that from cultured melanocytes. We found transcript levels of UCHL1, COL1A2, THBS1 and TNFRSF10D were inversely correlated with promoter methylation. The effect of this methylation on expression was confirmed at the protein level. Identification of these candidate TSGs and how their silencing is related to melanoma development will increase our understanding of the etiology of this cancer and may provide tools for its early diagnosis. Analysed samples consisted of 11 melanoma cell lines and 1 neonatal foreskin melanocyte pool as a reference. Melanoma cell lines overlap with members of the DNA copy number analysis series GSE9003 and expression profiling series GSE7127 . The matching copy number data GEO samples IDs are noted in characteristics: Matching CN Sample ID and characteristics: Matching expn Sample ID columns respectively.
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