PXD006475 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Global phosphoproteome analysis of human bone marrow reveals predictive phosphorylation markers for the treatment of acute myeloid leukemia with quizartinib |
Description | Treatment 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. |
HostingRepository | PRIDE |
AnnounceDate | 2017-05-10 |
AnnouncementXML | Submission_2017-05-10_02:14:07.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Christoph Schaab |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | phosphorylated residue |
Instrument | LTQ Orbitrap Velos |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2017-05-09 23:46:18 | ID requested | |
⏵ 1 | 2017-05-10 02:14:08 | announced | |
2 | 2017-05-15 01:23:58 | announced | Updated project metadata. |
3 | 2017-10-24 04:53:16 | announced | Updated project metadata. |
4 | 2024-10-22 04:37:19 | announced | 2024-10-22: 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 affiliation | Evotec, Martinsried, Germany |
contact email | christoph.schaab@evotec.com |
lab head | |
Christoph Schaab |
contact affiliation | Evotec |
contact email | christoph.schaab@evotec.com |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD006475
- Label: PRIDE project
- Name: Global phosphoproteome analysis of human bone marrow reveals predictive phosphorylation markers for the treatment of acute myeloid leukemia with quizartinib