Dataset Information

Gene expression profile of ascites cell samples from patients with advanced ovarian cancer

ABSTRACT: We present evidence for an autocrine cytokine network in human ovarian cancer that has paracrine actions on the tumour microenvironment. In experiments using bioinformatics analysis of large gene expression array datasets and ovarian cancer biopsies, we found that the inflammatory cytokines TNF-α and IL-6, the chemokine receptor CXCR4 and its ligand CXCL12, are co-regulated in malignant cells. We named this co-regulation the TNF network. We had access to a unique set of ascites cell samples from patients with advanced ovarian cancer treated with the therapeutic anti-human TNF-α antibody infliximab. Serial samples pre and during treatment were obtained during paracentesis (drainage of ascites fluid for symptomatic relief). In nine of these patients there was sufficient mRNA available for gene expression profile analysis before treatment.

ORGANISM(S): Homo sapiens

PROVIDER: GSE18681 | GEO | 2009/12/31

SECONDARY ACCESSION(S): PRJNA121559

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Ovarian cancer is a major cause of cancer mortality among women largely due to late diagnosis of advanced stage metastatic disease. More extensive molecular analysis of metastatic ovarian cancer is needed to identify post-translational modifications of proteins particularly associated with metastatic disease so that we can better understand the metastatic process and identify potential therapeutic targets. Proteins are the target of many recently developed cancer treatments, but an often neglected aspect of biomarker discovery is protein glycosylation, especially those involving tumor-associated carbohydrate antigens (TACAs) such as sialyl-Lewis(x) (SLe(x) and sialyl-Lewis(a) (SLe(a), which have been identified in various cancers. Although it is already known that considerable changes in protein glycosylation are major contributors to the initiation, progression and metastasis of tumors, specifics about glycosylation changes particularly important to the metastatic process are still lacking. In this report we describe the results of a combined glycomic and proteomic study of metastatic ovarian cancer (OC) ascites fluids. Glycoproteins in ascites fluid were enriched by affinity binding to lectins (ConA or WGA) and other affinity matrices. Separate glycomic and proteomic analyses were performed as well as glycopeptide analyses. Relative abundances of different N-glycan groups and proteins were identified from original ascites fluids and corresponding lectin bound samples. Levels of biomarkers CA125, MUC1 and fibronectin were also monitored in these samples by Western blot analysis. N-glycan analysis of ascites fluids showed the presence of large, highly fucosylated and sialylated, complex and hybrid glycans, some of which were not observed in normal serum. Proteins in OC ascites that were more abundant or not present in the serum control, were haptoglobin, fibronectin, lumican, fibulin, hemopexin, ceruloplasmin, alpha-1-antitrypsin and alpha-1-antichymotrypsin. Glycopeptide analysis identified N- and O-glycans in clusterin, hemopexin, and fibulin that were present in OC ascites.

Dataset Information

Gene expression profile of ascites cell samples from patients with advanced ovarian cancer

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets