Browse
Submit Data
Databases
API
Help

Dataset Information

22 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genome-wide aberrant methylation in primary metastatic UM and their matched metastases.

ABSTRACT: Uveal melanoma (UM) is an aggressive intra-ocular cancer with a strong tendency to metastasize. Metastatic UM is associated with mutations in BAP1 and SF3B1, however only little is known about the epigenetic modifications that arise in metastatic UM. In this study we aim to unravel epigenetic changes contributing to UM metastasis using a new genome-wide methylation analysis technique that covers over 50% of all CpG's. We identified aberrant methylation contributing to BAP1 and SF3B1-mediated UM metastasis. The methylation data was integrated with expression data and surveyed in matched UM metastases from the liver, skin and bone. UM metastases showed no commonly shared novel epigenetic modifications, implying that epigenetic changes contributing to metastatic spreading and colonization in distant tissues occur early in the development of UM and epigenetic changes that occur after metastasis are mainly patient-specific. Our findings reveal a plethora of epigenetic modifications in metastatic UM and its metastases, which could subsequently result in aberrant repression or activation of many tumor-related genes. This observation points towards additional layers of complexity at the level of gene expression regulation, which may explain the low mutational burden of UM.

SUBMITTER: Smit KN

PROVIDER: S-EPMC8742000 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Whole genome expression of matched primary-metastases medulloblastomas

Project description:Affymetrix Human Gene 2.0 ST Array profiling of 9 pairs of matched primary-metastases medulloblastoma samples. Total RNA was extracted from primary and metastases medulloblastoma samples and hybridized to Affymetrix Human Gene 2.0 ST Arrays (24-Array Plates) according to the manufacturer's instructions.

| S-ECPF-GEOD-63668 | biostudies-other

Genome wide methylation profiling of selected matched soft tissue sarcomas identifies methylation changes in metastatic and recurrent disease.

Project description:In this study we used the Illumina Infinium Methylation array to investigate in a cohort of matched archival human tissue samples (n = 32) from 14 individuals with soft tissue sarcomas if genome-wide methylation changes occur during metastatic and recurrent (Met/Rec) disease. A range of sarcoma types were selected for this study: leiomyosarcoma (LMS), myxofibrosarcoma (MFS), rhabdomyosarcoma (RMS) and synovial sarcoma (SS). We identified differential methylation in all Met/Rec matched samples, demonstrating that epigenomic differences develop during the clonal evolution of sarcomas. Differentially methylated regions and genes were detected, not been previously implicated in sarcoma progression, including at PTPRN2 and DAXX in LMS, WT1-AS and TNXB in SS, VENTX and NTRK3 in pleomorphic RMS and MEST and the C14MC / miR-379/miR-656 in MFS. Our overall findings indicate the presence of objective epigenetic differences across primary and Met/Rec human tissue samples not previously reported.

| S-EPMC7804318 | biostudies-literature

DNA methylation of matched primary-metastases medulloblastomas

Project description:DNA methylation was generated from 11 pairs of matched primary-metastases medulloblastoma samples using the Illumina Infinium HumanMethylation450 BeadChip array

2015-04-01 | GSE63669 | GEO

DNA methylation of matched primary-metastases medulloblastomas

Project description:DNA methylation was generated from 11 pairs of matched primary-metastases medulloblastoma samples using the Illumina Infinium HumanMethylation450 BeadChip array Total DNA was extracted from primary and metastases medulloblastoma samples, bisulfite converted and hybridized to Illumina Infinium HumanMethylation450 BeadChip according to the manufacturer's instructions.

2015-04-01 | E-GEOD-63669 | biostudies-arrayexpress

Whole genome expression and DNA methylation analysis of matched primary-metastases medulloblastomas

Project description:This SuperSeries is composed of the SubSeries listed below.

2015-04-01 | GSE63670 | GEO

Whole genome expression of matched primary-metastases medulloblastomas

Project description:Affymetrix Human Gene 2.0 ST Array profiling of 9 pairs of matched primary-metastases medulloblastoma samples.

2015-04-01 | GSE63668 | GEO

Whole genome expression and DNA methylation analysis of matched primary-metastases medulloblastomas

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2015-04-01 | E-GEOD-63670 | biostudies-arrayexpress

Whole-genome sequencing of matched primary and metastatic hepatocellular carcinomas.

Project description:BACKGROUND: To gain biological insights into lung metastases from hepatocellular carcinoma (HCC), we compared the whole-genome sequencing profiles of primary HCC and paired lung metastases. METHODS: We used whole-genome sequencing at 33X-43X coverage to profile somatic mutations in primary HCC (HBV+) and metachronous lung metastases (> 2 years interval). RESULTS: In total, 5,027-13,961 and 5,275-12,624 somatic single-nucleotide variants (SNVs) were detected in primary HCC and lung metastases, respectively. Generally, 38.88-78.49% of SNVs detected in metastases were present in primary tumors. We identified 65-221 structural variations (SVs) in primary tumors and 60-232 SVs in metastases. Comparison of these SVs shows very similar and largely overlapped mutated segments between primary and metastatic tumors. Copy number alterations between primary and metastatic pairs were also found to be closely related. Together, these preservations in genomic profiles from liver primary tumors to metachronous lung metastases indicate that the genomic features during tumorigenesis may be retained during metastasis. CONCLUSIONS: We found very similar genomic alterations between primary and metastatic tumors, with a few mutations found specifically in lung metastases, which may explain the clinical observation that both primary and metastatic tumors are usually sensitive or resistant to the same systemic treatments.

| S-EPMC3896667 | biostudies-literature

Whole genome sequencing of matched primary and metastatic acral melanomas.

Project description:Next generation sequencing has enabled systematic discovery of mutational spectra in cancer samples. Here, we used whole genome sequencing to characterize somatic mutations and structural variation in a primary acral melanoma and its lymph node metastasis. Our data show that the somatic mutational rates in this acral melanoma sample pair were more comparable to the rates reported in cancer genomes not associated with mutagenic exposure than in the genome of a melanoma cell line or the transcriptome of melanoma short-term cultures. Despite the perception that acral skin is sun-protected, the dominant mutational signature in these samples is compatible with damage due to ultraviolet light exposure. A nonsense mutation in ERCC5 discovered in both the primary and metastatic tumors could also have contributed to the mutational signature through accumulation of unrepaired dipyrimidine lesions. However, evidence of transcription-coupled repair was suggested by the lower mutational rate in the transcribed regions and expressed genes. The primary and the metastasis are highly similar at the level of global gene copy number alterations, loss of heterozygosity and single nucleotide variation (SNV). Furthermore, the majority of the SNVs in the primary tumor were propagated in the metastasis and one nonsynonymous coding SNV and one splice site mutation appeared to arise de novo in the metastatic lesion.

| S-EPMC3266028 | biostudies-literature

Whole genome expression of matched primary-metastases medulloblastomas

2015-04-01 | E-GEOD-63668 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data