PXD009996 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Proteogenomic systems analysis identifies targeted therapy resistance mechanisms in EGFR-mutated lung cancer |
Description | Cancer precision medicine largely relies on knowledge about genetic aberrations in tumors and next-generation-sequencing studies have shown a high mutational complexity in many cancers. Although a large number of the observed mutations is believed to be not causally linked with cancer, the functional effects of many rare mutations but also of combinations of driver mutations are often unknown. Here, we perform a systems analysis of a model of EGFR-mutated non-small cell lung cancer resistant to targeted therapy that integrates whole exome sequencing, global time-course discovery phosphoproteomics and computational modeling to identify functionally relevant molecular alterations. Our approach allows for a complexity reduction from over 2,000 genetic events potentially involved in mediating resistance to only 44 phosphoproteins and 35 topologically close genetic alterations. We perform single- and combination-drug testing against the predicted phosphoproteins and discovered that targeting of HSPB1, DBNL and AKT1 showed potent anti-proliferative effects overcoming resistance against EGFR-inhibitory therapy. Our approach may therefore be used to complement mutational profiling to identify functionally relevant molecular aberrations and propose combination therapies across cancers. |
HostingRepository | PRIDE |
AnnounceDate | 2018-07-02 |
AnnouncementXML | Submission_2018-07-02_01:28:33.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Daniel Heim |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | No PTMs are included in the dataset |
Instrument | Q Exactive |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2018-06-01 01:52:52 | ID requested | |
⏵ 1 | 2018-07-02 01:28:34 | announced | |
2 | 2019-02-12 08:38:42 | announced | Updated publication reference for PubMed record(s): 30183078. |
Publication List
Dataset with its publication pending |
Keyword List
curator keyword: Biomedical |
submitter keyword: Lung cancer, Proteomic, System Biology, Drug Resistance |
Contact List
Frederick Klauschen |
contact affiliation | Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Pathology, Berlin, Germany. |
contact email | frederick.klauschen@charite.de |
lab head | |
Daniel Heim |
contact affiliation | Charité Berlin |
contact email | daniel.heim@charite.de |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD009996
- Label: PRIDE project
- Name: Proteogenomic systems analysis identifies targeted therapy resistance mechanisms in EGFR-mutated lung cancer