Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of human ovarian cancer cell lines grown as multicellular spheroids and treated with three chemotherapy drugs

ABSTRACT: Gene expression profiling of ovarian cancer spheroids upon treatment with three chemotherapy drugs

INSTRUMENT(S): Agilent microarray scanner

ORGANISM(S): Homo sapiens

SUBMITTER: Dimcho Bachvarov

PROVIDER: E-MEXP-1319 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Global gene expression analysis of early response to chemotherapy treatment in ovarian cancer spheroids.

L'Espérance Sylvain S Bachvarova Magdalena M Tetu Bernard B Mes-Masson Anne-Marie AM Bachvarov Dimcho D

BMC genomics 20080226

<h4>Background</h4>Chemotherapy (CT) resistance in ovarian cancer (OC) is broad and encompasses diverse unrelated drugs, suggesting more than one mechanism of resistance. To better understand the molecular mechanisms controlling the immediate response of OC cells to CT exposure, we have performed gene expression profiling in spheroid cultures derived from six OC cell lines (OVCAR3, SKOV3, TOV-112, TOV-21, OV-90 and TOV-155), following treatment with 10,0 microM cisplatin, 2,5 microM paclitaxel o ...[more]

PMID: 18302766

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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.

Dataset Information

Transcription profiling of human ovarian cancer cell lines grown as multicellular spheroids and treated with three chemotherapy drugs

Publications

Global gene expression analysis of early response to chemotherapy treatment in ovarian cancer spheroids.

Similar Datasets

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