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PXD035084

PXD035084 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleA combination of molecular and clinical parameters provides a new strategy for high-grade serous ovarian cancer patient management
DescriptionHigh-grade serous carcinoma (HGSC) is the most common and deadly subtype of ovarian cancer. Although most patients will initially respond to first-line treatment with a combination of surgery and platinum-based chemotherapy, up to a quarter will be resistant to treatment. We aimed to identify a new strategy to improve HGSC patient management at the time of cancer diagnosis (HGSC-1LTR). Using proteomics in ready-available HGSC tissues, we have identified a molecular signature (TKT, LAMC1 and FUCO) that combined with ready available clinical data is able to predict patient response to first-line treatment (AUC: 0.82). Identification of chemoresistance at the time of diagnosis can facilitate the study of alternative treatments aimed at improving patient outcome. In addition, those patients classified as chemosensitive could undergo standard care with platinum-based agents. Therefore, the HGSC-1LTR strategy can allow optimization of therapeutic decision making and individualize HGSC patients’ care
HostingRepositoryPRIDE
AnnounceDate2023-11-14
AnnouncementXMLSubmission_2023-11-14_08:37:18.453.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterEva Borràs
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentOrbitrap Fusion Lumos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02022-07-04 15:07:55ID requested
12023-03-10 21:08:25announced
22023-11-14 08:37:19announced2023-11-14: Updated project metadata.
Publication List
Bradbury M, Borr, à, s E, Vilar M, Castellv, í J, S, á, nchez-Iglesias JL, P, é, rez-Benavente A, Gil-Moreno A, Santamaria A, Sabid, ó E, A combination of molecular and clinical parameters provides a new strategy for high-grade serous ovarian cancer patient management. J Transl Med, 20(1):611(2022) [pubmed]
Keyword List
submitter keyword: proteomics,ovarian cancer
Contact List
Eduard Sabido
contact affiliationUPF-CRG
contact emaileduard.sabido@crg.eu
lab head
Eva Borràs
contact affiliationUPF
contact emaileva.borras@upf.edu
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
Repository Record List
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