PXD015303-1
PXD015303 is an original dataset announced via ProteomeXchange.
Dataset Summary
Title | Epithelial ovarian cancer biomarker |
Description | Protein biomarkers of early stages of disease are critical for managing the disease and improving outcomes. Unfortunately, discovery of protein biomarkers is hampered by the limited availability of assays for sensitive and reproducible quantification of proteins in complex biological matrices such as blood plasma. In the recent years, Selected Reaction Monitoring (SRM) has emerged as a robust mass spectrometric method, capable of overcoming this limitation. Here, we present a comprehensive SRM-based strategy for developing protein biomarkers for epithelial ovarian cancer, and illustrate the extent to which SRM platform, combined with sound experimental design and statistical analysis, results in robust detection of predictive analytes. First, the biomarker development was guided by a discovery-driven proteomic effort to detect potential N-glycoprotein biomarker candidates in tissue of a genetically stable ovarian cancer mouse model. Next, 65 candidate markers were reproducibly quantified with SRM assays across a large cohort of over 200 plasma samples from ovarian cancer patients and healthy controls. Finally, these measurements were used to derive 5-protein signatures for distinguishing individuals with epithelial ovarian cancer from healthy controls. The sensitivity of the candidate biomarker signature in combination with CA125 ELISA-based measurements currently used in clinic, exceeded that of CA125 ELISA-based measurements alone. The SRM-based strategy in this study is broadly applicable. It can be used in any study that requires accurate and reproducible quantification of selected proteins in a high-throughput and multiplexed fashion. |
HostingRepository | MassIVE |
AnnounceDate | 2019-09-03 |
AnnouncementXML | Submission_2019-09-03_13:05:00.xml |
DigitalObjectIdentifier | |
ReviewLevel | Non peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Meena Choi |
SpeciesList | scientific name: Homo sapiens; common name: human; NCBI TaxID: 9606; |
ModificationList | No PTMs are included in the dataset |
Instrument | 4000 QTRAP; QTRAP 5500; TSQ Vantage |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
---|---|---|---|
0 | 2019-09-03 13:01:41 | ID requested | |
⏵ 1 | 2019-09-03 13:05:01 | announced | |
2 | 2020-06-16 09:31:45 | announced | 2020-06-16: Adding publication [PMID31289117] to dataset [MSV000084048] |
Publication List
no publication |
Keyword List
submitter keyword: SRM, Biomarker, Ovarian cancer |
Contact List
Meena Choi | |
---|---|
contact affiliation | Northeastern University |
contact email | m.choi@northeastern.edu |
lab head | |
Ruth Huttenhain | |
contact affiliation | Department of Molecular and Cellular Pharmacology, UCSF |
contact email | Ruth.huttenhain@ucsf.edu |
lab head | |
Meena Choi | |
contact affiliation | Northeastern University |
contact email | mnchoi67@gmail.com |
dataset submitter |
Full Dataset Link List
MassIVE dataset URI |
Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://massive.ucsd.edu/MSV000084048/ |