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PXD006475-1

PXD006475 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleGlobal phosphoproteome analysis of human bone marrow reveals predictive phosphorylation markers for the treatment of acute myeloid leukemia with quizartinib
DescriptionTreatment with inhibitors of the receptor tyrosine kinase FLT3 are currently studied as promising therapies in acute myeloid leukemia (AML). However, only a subset of patients benefit from these treatments and the presence of activating mutations within FLT3 can predict response to a certain extent only. AC220 (quizartinib) is an example of a potent FLT3 inhibitor1 that was studied in a recent phase II open-label study in patients with relapsed/refractory AML. The complete remission rate (including CRp and CRi) in FLT3-ITD-positive patients was 54% (50/92) and the corresponding partial remission rate (PR) was 17% (16/92)2 Thus, although the FLT3-ITD mutation status correlates with response, the error rate in stratification of patients into responders and non-responders is high, as still 29% of the FLT3-ITD-positive patients failed to respond. Exclusion of FLT3-ITD-negative patients from AC220 treatment also seems critical, as the total response rate (CRþPR) in FLT3-ITD-negative patients is substantially lower (41%, 17/41). As AC220 is a tyrosine kinase inhibitor, we hypothesized that investigating phosphorylation-based signaling on a system-wide scale in AML cells allows for identification of markers enabling more accurate prediction of therapy response as compared to commonly used genetic markers. Hence, we applied quantitative mass spectrometry to decipher a multivariate phosphorylation site marker, which we refer to as phosphosignature, in patient-derived AML blasts that might be useful as predictive biomarkers for AC220 treatment.
HostingRepositoryPRIDE
AnnounceDate2017-05-10
AnnouncementXMLSubmission_2017-05-10_02:14:07.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterChristoph Schaab
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListphosphorylated residue
InstrumentLTQ Orbitrap Velos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02017-05-09 23:46:18ID requested
12017-05-10 02:14:08announced
22017-05-15 01:23:58announcedUpdated project metadata.
32017-10-24 04:53:16announcedUpdated project metadata.
42024-10-22 04:37:19announced2024-10-22: Updated project metadata.
Publication List
Schaab C, Oppermann FS, Klammer M, Pfeifer H, Tebbe A, Oellerich T, Krauter J, Levis M, Perl AE, Daub H, Steffen B, Godl K, Serve H, Global phosphoproteome analysis of human bone marrow reveals predictive phosphorylation markers for the treatment of acute myeloid leukemia with quizartinib. Leukemia, 28(3):716-9(2014) [pubmed]
Keyword List
submitter keyword: biomarker
classification
AML
AC220
quizartinib
phosphoproteomics
response prediction
Contact List
Christoph Schaab
contact affiliationEvotec, Martinsried, Germany
contact emailchristoph.schaab@evotec.com
lab head
Christoph Schaab
contact affiliationEvotec
contact emailchristoph.schaab@evotec.com
dataset submitter
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Dataset FTP location
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PRIDE project URI
Repository Record List
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