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University of Pittsburg Ovarian Data

Dataset Abstract:

Ovarian cancer biomarker discovery study data using multianalyte LabMAP profiling.


The following additional information has been defined for this dataset. The information has been provided by the Principal Investigator or staff from his or her laboratory.

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ProtocolId
119
ProtocolName
StudyBackground
Early detection of ovarian cancer might improve clinical outcome. Some studies have shown the role of cytokines as a new group of tumor markers for ovarian cancer. We hypothesized that a panel comprised of multiple cytokines, which individually may not show strong correlation with the disease, might provide higher diagnostic power.
DataSetName
University of Pittsburg Ovarian Data
LeadPI
Anna Lokshin
SiteName
DataCustodian
Tina Xiao
DataCustodianEmail
TBD
OrganSite
Ovary
CollaborativeGroup
Breast/GYN
Date
2008-06-24T20:12:00.000Z
QAState
Under Review
ResearchSupport
N N.I.H., Extramural
U.S. Gov't, Non-P.H.S.
U.S. Gov't, P.H.S.
DataDisclaimer
Data and information released from the National Cancer Institute (NCI) are provided on an "AS IS" basis, without warranty of any kind, including without limitation the warranties of merchantability, fitness for a particular purpose and non-infringement. Availability of this data and information does not constitute scientific publication. Data and/or information may contain errors or be incomplete. NCI and its employees make no representation or warranty, express or implied, including without limitation any warranties of merchantability or fitness for a particular purpose or warranties as to the identity or ownership of data or information, the quality, accuracy or completeness of data or information, or that the use of such data or information will not infringe any patent, intellectual property or proprietary rights of any party. NCI shall not be liable for any claim for any loss, harm, illness or other damage or injury arising from access to or use of data or information, including without limitation any direct, indirect, incidental, exemplary, special or consequential damages, even if advised of the possibility of such damages. In accordance with scientific standards, appropriate acknowledgment of NCI should be made in any publications or other disclosures concerning data or information made available by NCI.