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PXD010260

PXD010260 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleMuscular invasiveness in bladder cancer
DescriptionPatients with bladder cancer need frequent controls over long follow-up time due to high recurrence rate and risk of conversion to muscle invasive cancer with poor prognosis. We identified cancer-related molecular signatures in apparently healthy bladder in patients with subsequent muscular invasiveness during follow-up. Global proteomics of the normal tissue biopsies revealed specific proteome fingerprints in these patients prior to subsequent muscular invasiveness. In these presumed normal samples, we detected modulations of proteins previously associated with different cancer types. This study indicates that analyzing apparently healthy tissue of a cancer-invaded organ may predict disease progression.
HostingRepositoryPRIDE
AnnounceDate2018-10-26
AnnouncementXMLSubmission_2018-11-22_02:38:55.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterEystein Oveland
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListiodoacetamide derivatized residue
InstrumentQ Exactive HF
Dataset History
RevisionDatetimeStatusChangeLog Entry
02018-06-28 03:32:34ID requested
12018-10-26 05:31:41announced
22018-11-22 02:38:56announcedUpdated publication reference for PubMed record(s): 30419021.
Publication List
Berle M, Ghila L, Vethe H, Chaudhry A, Garberg H, Beisland C, Haaland Ø A, Oveland E, Halvorsen OJ, Davidsson T, Chera S, Novel protein signatures suggest progression to muscular invasiveness in bladder cancer. PLoS One, 13(11):e0206475(2018) [pubmed]
Keyword List
submitter keyword: Human, bladder cancer, label-free proteomics, Q-Exactive-HF
Contact List
Magnus Berle
contact affiliationUniversity of Bergen, Department of Clinical Medicine
contact emailmagnus.berle@gmail.com
lab head
Eystein Oveland
contact affiliationInstitute of Marine Research
contact emaileysteino@gmail.com
dataset submitter
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Dataset FTP location
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PRIDE project URI
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