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PXD003794

PXD003794 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleGlycomic and proteomic analyses of malignant ascites fluid were used to identify potential metastatic biomarkers of epithelial ovarian cancer : Partial
DescriptionOvarian 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.
HostingRepositoryPRIDE
AnnounceDate2016-08-15
AnnouncementXMLSubmission_2016-08-15_01:57:23.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterBrett Phinney
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListiodoacetamide derivatized residue
InstrumentLTQ FT; LTQ
Dataset History
RevisionDatetimeStatusChangeLog Entry
02016-03-16 02:55:12ID requested
12016-08-15 01:57:25announced
Publication List
Miyamoto S, Ruhaak LR, Stroble C, Salemi MR, Phinney B, Lebrilla CB, Leiserowitz GS, Glycoproteomic Analysis of Malignant Ovarian Cancer Ascites Fluid Identifies Unusual Glycopeptides. J Proteome Res, 15(9):3358-76(2016) [pubmed]
Keyword List
curator keyword: Biomedical
submitter keyword: ascites,concanavalin A,epithelial ovarian cancer
Contact List
Brett Phinney
contact affiliationUC Davis Proteomics Core
contact emailbsphinney@ucdavis.edu
lab head
Brett Phinney
contact affiliationUC Davis Proteomics Core
contact emailbsphinney@ucdavis.edu
dataset submitter
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