Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genome-wide multi-omics profiling reveals extensive genetic complexity in 8p11-p12 amplified breast carcinomas [aCGH]

ABSTRACT: DNA copy number alterations play an important role in cancer development and progression by changing the transcriptional levels of key cancer-related genes. However, gene expression patterns may also be affected by other mechanisms. To test these basic principles, we have applied genome-wide screening techniques to 53 invasive breast tumors with array comparative genomic hybridization and gene expression microarrays to assess the direct effect of gene dosage on gene expression levels and independently to test the effect of other mechanisms on transcriptional levels. Low-level gain, high-level gain/amplification, heterozygous loss and homozygous deletion (henceforth referred to as gain, amplification, loss and deletion) were defined as log2 ratio thresholds set at +0.2, ≥+0.5, -0.2 and ≤-1.0, respectively.

ORGANISM(S): Homo sapiens

PROVIDER: GSE97292 | GEO | 2017/03/31

SECONDARY ACCESSION(S): PRJNA381215

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Genome-wide multi-omics profiling reveals extensive genetic complexity in 8p11-p12 amplified breast carcinomas [expression]

Project description:Transcriptomic profiling of human breast tumors. Genomic and expression profiling using 38K BAC array-CGH and Illumina HT-12 beadchips were performed on 53 invasive breast tumors to assess the impact of gene dosage on gene expression patterns and the effect of other mechanisms on transcriptional levels. Array-CGH results was validated by FISH using tumors showing 8p11-p12 DNA amplification and expression profiling was confirmed using qPCR for 11 transcripts. Low-level gain, high-level gain/amplification, heterozygous loss and homozygous deletion (henceforth referred to as gain, amplification, loss and deletion) were defined as log2 ratio thresholds set at +0.2, >= +0.5, -0.2 and <=-1.0, respectively.

2017-03-30 | GSE97177 | GEO

Genome-wide multi-omics profiling of the 8p11-p12 amplicon in breast carcinoma.

Project description:Genomic instability contributes to the neoplastic phenotype by deregulating key cancer-related genes, which in turn can have a detrimental effect on patient outcome. DNA amplification of the 8p11-p12 genomic region has clinical and biological implications in multiple malignancies, including breast carcinoma where the amplicon has been associated with tumor progression and poor prognosis. However, oncogenes driving increased cancer-related death and recurrent genetic features associated with the 8p11-p12 amplicon remain to be identified. In this study, DNA copy number and transcriptome profiling data for 229 primary invasive breast carcinomas (corresponding to 185 patients) were evaluated in conjunction with clinicopathological features to identify putative oncogenes in 8p11-p12 amplified samples. Illumina paired-end whole transcriptome sequencing and whole-genome SNP genotyping were subsequently performed on 23 samples showing high-level regional 8p11-p12 amplification to characterize recurrent genetic variants (SNPs and indels), expressed gene fusions, gene expression profiles and allelic imbalances. We now show previously undescribed chromothripsis-like patterns spanning the 8p11-p12 genomic region and allele-specific DNA amplification events. In addition, recurrent amplification-specific genetic features were identified, including genetic variants in the HIST1H1E and UQCRHL genes and fusion transcripts containing MALAT1 non-coding RNA, which is known to be a prognostic indicator for breast cancer and stimulated by estrogen. In summary, these findings highlight novel candidate targets for improved treatment of 8p11-p12 amplified breast carcinomas.

| S-EPMC5963621 | biostudies-literature

KAT6A, a chromatin modifier from the 8p11-p12 amplicon is a candidate oncogene in luminal breast cancer.

Project description:The chromosome 8p11-p12 amplicon is present in 12% to 15% of breast cancers, resulting in an increase in copy number and expression of several chromatin modifiers in these tumors, including KAT6A. Previous analyses in SUM-52 breast cancer cells showed amplification and overexpression of KAT6A, and subsequent RNAi screening identified KAT6A as a potential driving oncogene. KAT6A is a histone acetyltransferase previously identified as a fusion partner with CREB binding protein in acute myeloid leukemia. Knockdown of KAT6A in SUM-52 cells, a luminal breast cancer cell line harboring the amplicon, resulted in reduced growth rate compared to non-silencing controls and profound loss of clonogenic capacity both in mono-layer and in soft agar. The normal cell line MCF10A, however, did not exhibit slower growth with knockdown of KAT6A. SUM-52 cells with KAT6A knockdown formed fewer mammospheres in culture compared to controls, suggesting a possible role for KAT6A in self-renewal. Previous data from our laboratory identified FGFR2 as a driving oncogene in SUM-52 cells. The colony forming efficiency of SUM-52 KAT6A knockdown cells in the presence of FGFR inhibition was significantly reduced compared to cells with KAT6A knockdown only. These data suggest that KAT6A may be a novel oncogene in breast cancers bearing the 8p11-p12 amplicon. While there are other putative oncogenes in the amplicon, the identification of KAT6A as a driving oncogene suggests that chromatin-modifying enzymes are a key class of oncogenes in these cancers, and play an important role in the selection of this amplicon in luminal B breast cancers.

| S-EPMC4234874 | biostudies-literature

Frequent MYC coamplification and DNA hypomethylation of multiple genes on 8q in 8p11-p12-amplified breast carcinomas.

Project description:Genetic and epigenetic (DNA methylation, histone modifications, microRNA expression) crosstalk promotes inactivation of tumor suppressor genes or activation of oncogenes by gene loss/hypermethylation or duplications/hypomethylation, respectively. The 8p11-p12 chromosomal region is a hotspot for genomic aberrations (chromosomal rearrangements, amplifications and deletions) in several cancer forms, including breast carcinoma where amplification has been associated with increased proliferation rates and reduced patient survival. Here, an integrative genomics screen (DNA copy number, transcriptional and DNA methylation profiling) performed in 229 primary invasive breast carcinomas identified substantial coamplification of the 8p11-p12 genomic region and the MYC oncogene (8q24.21), as well as aberrant methylation and transcriptional patterns for several genes spanning the 8q12.1-q24.22 genomic region (ENPP2, FABP5, IMPAD1, NDRG1, PLEKHF2, RRM2B, SQLE, TAF2, TATDN1, TRPS1, VPS13B). Taken together, our findings suggest that MYC activity and aberrant DNA methylation may also have a pivotal role in the aggressive tumor phenotype frequently observed in breast carcinomas harboring 8p11-p12 regional amplification.

| S-EPMC4038389 | biostudies-literature

The 8p11-p12 amplicon oncogene ASH2L regulates expression of genes involved in tumorigenic processes via promoter H3K4me3 in luminal breast cancer. (SUM-44 ASH2L knockdown H3K4me3 ChIP-seq)

Project description:Amplification of the 8p11-p12 genomic region occurs in 30% of luminal B breast cancers and results in coordinate overexpression of several oncogenes, including ASH2L, which upregulates gene expression via promoter tri-methylation of lysine 4 on histone 3 (H3K4me3). Since 8p11-p12 amplification is associated with endocrine resistance, the major cause of breast cancer mortality, understanding the underlying biology is essential to improving treatment options for patients. To explore the role of amplified and overexpressed ASH2L on epigenetic regulation of gene expression, we performed H3K4me3 ChIP-seq and RNA-seq in breast cancer cells with ASH2L amplification and overexpression following ASH2L knockdown and assessed the biological effects of the suite of genes identified in this manner. We discovered that ASH2L-regulated genes are implicated in cell cycle processes and response to the CDK4/6 inhibitor palbociclib and confirmed these effects in additional breast cancer cell lines. We also discovered that ASH2L regulates expression of another 8p11-p12 amplicon oncogene NSD3, also an epigenome modifier, which has previously been shown to result in overexpression and estrogen-independent activation of ERα. Together, these data establish ASH2L as a breast cancer oncogene and an important component of the 8p11-p12 amplicon that acts as an oncogenic unit in breast cancer.

2024-05-24 | GSE99669 | GEO

Genome-wide multi-omics profiling reveals extensive genetic complexity in 8p11-p12 amplified breast carcinomas

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

2017-03-31 | GSE97293 | GEO

Genome-wide multi-omics profiling reveals extensive genetic complexity in 8p11-p12 amplified breast carcinomas [SNP_genotyping]

Project description:SNP genotyping of human breast tumors

2019-04-17 | GSE100529 | GEO

Genome-wide multi-omics profiling reveals extensive genetic complexity in 8p11-p12 amplified breast carcinomas [RNA-seq]

Project description:Transcriptomic profiling of human breast tumors using RNA sequencing

2019-04-17 | GSE100799 | GEO

Microarray Based Comparison of two Amplification Methods For Nanogram Amounts of Total RNA

Project description:Two T7 based methods One round of Amplification (Affymetrix) and Two round of Amplification were compared to two Ribo-SPIA based systems, RiboSPIA and pico Ribo SPIA systems. Data for One Round of amplification , Two round of amplification and RiboSPIA are listed here. All Hybridisation were performed using Affymetrix Mouse 430-2 gene chips. Data were all scaled to 500 and scaling factor average was 3.6 +/- 0.9, background intensities 46 +/- 5 , noise 2.9 +/- 0.6, rawQ 1.5 +/- 0.2 Keywords: other

2004-05-28 | GSE1435 | GEO

Skeletal muscle metabolomics and blood biochemistry analysis reveal metabolic changes associated with dietary amino acid supplementation in dairy calves

Project description:The effects of different amino acid (AA) supplementations of milk protein-based milk replacers in pre-ruminant calves from 3 days to 7 weeks of age were studied. Animals were divided into 4 groups: Ctrl) Control group fed with milk protein-based milk replacer without supplementation; GP) supplementation with 0.1% glycine and 0.3% proline; FY) supplementation with 0.2% phenylalanine and 0.2% tyrosine; MKT) supplementation with 0.62% lysine, 0.22% methionine and 0.61% threonine. For statistical analysis, t-test was used to compare AA-supplemented animals to the Ctrl group. At week 7, body weight and average daily gain (ADG) were measured and blood samples and skeletal muscle biopsies were taken. Blood biochemistry analytes related to energy metabolism were determined and it was shown that MKT group had higher serum creatinine and higher plasma concentration of three supplemented AAs as well as arginine compared with the Ctrl group. GP group had similar glycine/proline plasma concentration compared with the other groups while in FY group only plasma phenylalanine concentration was higher compared with Control. Although the AA supplementations in the GP and FY groups did not affect average daily gain and metabolic health profile from serum, the metabolome analysis from skeletal muscle biopsy revealed several differences between the GP-FY groups and the Ctrl-MKT groups, suggesting a metabolic adaptation especially in GP and FY groups.

2018-10-08 | MTBLS720 | MetaboLights

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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