Unknown,Transcriptomics,Genomics,Proteomics

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Identification of a Potential Ovarian Cancer Stem Cell Gene Expression Profile from Advanced Stage Papillary Serous Ovarian Cancer

ABSTRACT: To identify the potential ovarian cancer stem cell gene expression profile from isolated side population of fresh ascites obtained from women with high-grade advanced stage papillary serous ovarian adenocarcinoma Microarrays were used to interrogate the differentially expressed genes between side population (SP) and main population (MP) isolated from fresh ascites obtained from women with high-grade advanced stage papillary serous ovarian adenocarcinoma, and the results were analyzed by paired T-test using BRB-ArrayTools Gene expression profiling was completed for 10 SP and MP pairs using the Affymetrix human U133 Plus 2.0 Arrays

ORGANISM(S): Homo sapiens

SUBMITTER: Michael Birrer

PROVIDER: E-GEOD-33874 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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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.

Project description:Background: Malignant ascites is often present at diagnostic in women with advanced ovarian cancer (OC) and its presence is associated with a worse outcome. Human peritoneal mesothelial cells (HPMCs) are key components of malignant ascites. Although the interplay between HPMCs and OC cells is believed to be critical for tumor progression, it has not been well characterized. The purpose of this study was to assess the effect of ascites on HPMCs and clarify the role of HPMCs in OC progression. Methods: Human OC ascites and benign peritoneal fluids were assessed for their ability to stimulate HPMC proliferation. Conditioned medium from ascites- and benign fluid-stimulated HPMCs were compared for their ability to attenuate apoptosis induced by TNF-related apoptosis-inducing ligand (TRAIL). We conducted a comparative analysis of global expression changes in ascites-stimulated HPMCs using Agilent oligonucleotide microarrays. Results: As compared to benign peritoneal fluids, malignant ascites stimulated the proliferation of HPMCs. TRAIL-induced apoptosis was attenuated in OC cells exposed to conditioned medium from ascites-stimulated HPMCs as compared to OC cells exposed to conditioned medium from benign fluid-stimulated HPMCs. A total of 649 genes were differentially expressed in ascites-stimulated HPMCs. Based on a ratio of more than 1.5-fold and a P < 0.05, 484 genes were up-regulated and 165 genes were down-regulated in ascites-exposed HPMCs. Stimulation of HPMCs with OC ascites resulted in differential expression of genes mainly associated with the regulation of cell growth and proliferation, cell death, cell cycle and cell assembly and organization, compared to benign peritoneal fluids. Top networks up-regulated by OC ascites included Akt and NF-M-NM-:B survival pathways whereas vascular endothelial growth factor (VEGF) pathway was down-regulated. Conclusions: The results of this study not only provide evidence supporting the importance of the interplay between cancer cells and HPMCs but also define the role that the tumor environment plays in these interactions. The expression profiles from human peritoneal mesothelial cells (HPMC) cultures exposed to peritoneal fluids and ovarian cancer ascites were compared using the Agilent Whole Human Genome Oligonucleotide microarrays, containing 44,000 genes. Microarrays were performed on HPMCs exposed to 3 malignant ascites from women with advanced (stage III/IV) serous OC and two benign peritoneal fluids. First, we generated lists of significantly up-regulated and down-regulated genes that were differentially expressed between OC ascites (OVC346, OVC508 and OVC509) and control OV370 peritoneal fluid. Then, the set of genes that were commonly expressed between control peritoneal fluids (OV370 and OV401) were subtracted from the first list of genes to generate a dataset of differentially expressed genes between malignant ascites and benign peritoneal fluids.

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Identification of a Potential Ovarian Cancer Stem Cell Gene Expression Profile from Advanced Stage Papillary Serous Ovarian Cancer

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