Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

5 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression profiling of metastatic and non-metastatic osteosarcoma biopsies

ABSTRACT: Osteosarcoma (OS) is the most common primary bone tumour in children and young adults, and the second highest cause of cancer-related death in this age group. In spite of aggressive chemotherapy, disease-free survival has not improved significantly in the past 20 years, and 50% of patients subsequently develop fatal pulmonary metastasis. We have performed gene expression profiling of primary osteosarcoma biopsies (i) to identify prognostic markers, and (ii) to identify novel therapeutic targets. Keywords: Comaprison between disease status (metastatic vs non-metastatic) and normal Two-colour experiment. 7 samples for non-metastatic patients, 6 of which are analyzed in duplicate (dye-swaps); 11 samples for metastatic patients, 10 of which are analyzed in duplicate (dye-swaps); 5 samples of non-malignant bone analyzed individualy, no dye-swaps (i.e. 5 biological replicates).

ORGANISM(S): Homo sapiens

SUBMITTER: Liliana Endo-Munoz

PROVIDER: E-GEOD-9508 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Gene expression profiling of metastatic and non-metastatic osteosarcoma biopsies

Project description:Osteosarcoma (OS) is the most common primary bone tumour in children and young adults, and the second highest cause of cancer-related death in this age group. In spite of aggressive chemotherapy, disease-free survival has not improved significantly in the past 20 years, and 50% of patients subsequently develop fatal pulmonary metastasis. We have performed gene expression profiling of primary osteosarcoma biopsies (i) to identify prognostic markers, and (ii) to identify novel therapeutic targets. Keywords: Comaprison between disease status (metastatic vs non-metastatic) and normal

2010-08-30 | GSE9508 | GEO

Global gene expression profiling of human osteosarcomas of primary and metastatic origin reveals alterations in chemokine pattern

Project description:Global gene expression analysis was performed on a panel of 23 osteosarcoma samples of primary and metastatic origin using the Applied Biosystems Gene Expression Array System. When comparing the primary tumours with the metastases, we found a significantly increased expression of genes involved in immunological processes, e.g. coding for cytokines and chemokines, in the metastatic samples, suggesting that these signal molecules play an important role in promoting metastasis. In addition, a comparison of the gene expression in primary samples from patients with or without metastases demonstrated that patients who later developed metastases had high expression of the chemokine (C-X-C motif) receptor 4 (CXCR4), similar to the metastatic samples. Increased knowledge of mechanisms and interactions between specified molecular signalling pathways in osteosarcomas could lead to a more rational strategy for development of targeted therapy. Total RNA was isolated from tumor tissue of osteosarcoma patients. Gene expression patterns of metastatic versus primary samples were compared, as well as primary samples from patients who did or did not later develop metastases.

2012-01-01 | E-GEOD-32981 | biostudies-arrayexpress

Dynamics and transcriptomic driver landscape of metastatic osteosarcoma

Project description:We report MAPK7-MMP9 signalling axis in metastatic osteosarcoma

2020-07-27 | GSE140131 | GEO

Positively selected enhancer elements endow tumor cells with metastatic competence

Project description:Metastasis results from a complex set of traits acquired by tumor cells, distinct from those necessary for tumorigenesis. Here, we investigate the contribution of enhancer elements to the metastatic phenotype of osteosarcoma. Through epigenomic profiling, we identify substantial differences in signature enhancer-histone marks between near-isogenic pairs of high and low lung-metastatic osteosarcoma cells. We term these regions Metastatic Variant Enhancer Loci (Met-VELs). Met-VELs drive coordinated waves of gene expression during metastatic colonization of the lung. Met-VELs cluster non-randomly, indicating that activity of these enhancers and their associated gene targets is positively selected. Osteosarcoma lung metastasis is inhibited by global interruptions of Met-VEL associated gene expression.

2018-01-15 | GSE74230 | GEO

gene expression profiling of brain metastatic melanoma cell lines

Project description:Cerebral metastases occur in a majority of metastatic melanoma patients and are a major cause of mortality. Despite this, there is a poor understanding of the molecules/pathways that lead to the brain-metastatic phenotype. Studies designed to address this deficiency and test novel therapeutic approaches have until recently been slowed by an absence of preclinical models of spontaneous CNS metastatic melanoma disease. To address this, we isolated two variants of the human melanoma cell line WM239 (named 131/4-5B1 and 131/4-5B2) which can metastasize spontaneously to brain parenchyma from an orthotopic primary transplant. We have performed gene expression profiling on both brain metastatic cell lines (131/4-5B1 and 131/4-5B2) and compared to the poorly metastatic parental cell line WM239A and a derived highly metastatic variant 113/6-4L in order to examine the mechanisms that influence the progression of malignant melanoma to a brain-metastatic phenotype. Two-condition experiment, brain metastatic cell lines (131/4-5B1 and 131/4-5B2) and compared to the poorly metastatic parental cell line WM239A and a derived highly metastatic variant 113/6-4L. Biological replicates: 4 independently grown and harvested cell line passages. Two technical replicate per condition (including dye swap).

2012-11-21 | E-GEOD-23601 | biostudies-arrayexpress

Erbb2-transfected mice fibroblasts

Project description:Group of 5 experiments (including 2 independent cell preparations and 2 dye swaps) of Erbbr (Her2, Neu) transfected fibroblasts versus normal cells Keywords: parallel sample

2004-06-04 | GSE1442 | GEO

Discovery of genes differentially-expressed in the endothelium of lymph nodes draining metastatic versus non-metastatic tumors

Project description:Metastasis to lymph nodes is an early and prognostically important event in the progression of many human cancers, and is associated with expression of vascular endothelial growth factor-D (VEGF-D). Changes to lymph node vasculature occur during metastasis, and may establish a metastatic niche capable of attracting and supporting tumor cells. We used microarrays to characterise the molecular profiles of endothelial cells from lymph nodes draining metastatic (VEGF-D-overexpressing) and non-metastatic tumors, and to identify differentially-expressed genes that might have therapeutic or prognostic potential. Draining lymph nodes of metastatic (VEGF-D-overexpressing) or non-metastatic tumors were pooled from 1-5 mice and enzymatically digested. Lymph nodes draining metastatic tumors were included for the analysis only if macroscopically enlarged, indicating the presence of metastatic cells. After digestion, tumor cells and leukocytes were depleted via immunomagnetic selection, and the resulting lymph node stromal cells were cultured briefly. Podoplanin was then used as a positive immunomagnetic selection marker to enrich for lymphatic and other endothelial cells in the lymph node. RNA was isolated from biological duplicate lymph node endothelial cell (LN EC) preparations and analysed by microarray.

2011-09-22 | E-GEOD-31123 | biostudies-arrayexpress

Expression data from non-metastatic and metastatic osteosarcoma cells

Project description:Osteosarcoma (OS) is the malignant bone tumor with a high tendency to metastasize to the lung, where the molecular mechanisms are unclear. The mouse OS cell line LM8 has been isolated originally from the Dunn OS cell line by in vivo selection as a subline with a high metastatic potential to the lung. We used gene chip-based global gene expression analysis of differential screening between parental Dunn and LM8 cells in order to reveal genes predominantly expressed in LM8 cells, which correlate with high metastatic potential. 2 cell lines

2011-03-04 | E-GEOD-26648 | biostudies-arrayexpress

Ex vivo screen identifies CDK12 as a metastatic vulnerability in osteosarcoma

Project description:Despite progress in intensification of therapy, outcomes for patients with metastatic osteosarcoma (OS) have not improved in thirty years. We developed a system that enables preclinical screening of compounds against metastatic OS cells in the context of the native lung microenvironment. Using this strategy to screen a library of epigenetically-targeted compounds, we identified inhibitors of CDK12 to be most effective, reducing OS cell outgrowth in the lung by >90% at sub-micromolar doses. CDK12 inhibition led to defects in transcription elongation in a gene length- and expression-dependent manner. These effects were accompanied by defects in RNA processing and altered the expression of genes involved in transcription regulation and the DNA damage response. We further identify OS models that differ in their sensitivity to CDK12 inhibition in the lung and provide evidence that upregulated MYC levels may mediate these differences. Our studies provide a framework for rapid preclinical testing of compounds with anti-metastatic activity and highlight CDK12 as a potential therapeutic target in osteosarcoma.

2019-06-06 | GSE132233 | GEO

Osteosarcoma is characterized by impaired osteoclastogenesis and antigen presentation compared to normal bone

Project description:Osteosarcoma is characterized by reduced expression of markers of impaired osteoclastogenesis and antigen presentation compared to normal bone Osteosarcoma (OS) is the most common primary bone tumour in children and young adults, and the second highest cause of cancer-related death in this age group. In spite of aggressive chemotherapy, disease-free survival has not improved significantly in the past 20 years, and 50% of patients subsequently develop fatal pulmonary metastasis. We have performed gene expression profiling of primary osteosarcoma biopsies and compared the results to gene expression profiling of non-malignant bone to identify differentially expressed genes unique to OS in the context of the bone micorenvironment. Keywords: Comaprison between disease status (OS) and normal; comparison between good and poor response to chemotherapy

2010-01-31 | GSE19276 | GEO

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