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PXD016604

PXD016604 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleOptimized high-order drug mixtures improve colorectal carcinoma treatment via inactivationof MAP kinase signaling pathway and cell cycle alteration
DescriptionColorectal carcinoma is currently treated with a combination of chemotherapeutic drugs supplemented with targeted drugs. Since there is an eminent need to improved therapeutic success we employed the phenotypically-driven therapeutically guided multidrug optimization (TGMO) technology to identify personalized optimal drug combinations (ODCs). Using this technology we obtained low dose synergistic and selective ODCs for a panel of human colorectal carcinoma cells that remained active in 3-dimensional heterotypic co-culture models. From RNA sequencing and phosphoproteomics analysis we noticed considerable overlap in the top 20 most active kinases in all cell lines and that the mechanism converges around MAP kinase signaling and cell cycle inhibition despite differential cell mutation status, transcript expression levels and protein kinase activity. RNA sequencing revealed differentially expressed genes that confirmed these observations. These combinations were subsequently translated to in vivo models. Interestingly, the optimized drug mixtures reduced tumor volume with 80% and significantly outperformed the standard chemotherapy (FOLFOX) in these models, while preventing toxicity, observed after FOLFOX treatment. Pharmacokinetics studies demonstrated that the combinations supported significantly enhanced drug bioavailability.
HostingRepositoryPRIDE
AnnounceDate2024-10-22
AnnouncementXMLSubmission_2024-10-22_05:27:07.072.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterSander Piersma
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListphosphorylated residue; monohydroxylated residue; acetylated residue; iodoacetamide derivatized residue
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02019-12-04 08:06:05ID requested
12021-09-08 17:22:35announced
22024-10-22 05:27:13announced2024-10-22: Updated project metadata.
Publication List
10.1002/1878-0261.12797;
Zoetemelk M, Ramzy GM, Rausch M, Koessler T, van Beijnum JR, Weiss A, Mieville V, Piersma SR, de Haas RR, Delucinge-Vivier C, Andres A, Toso C, Henneman AA, Ragusa S, Petrova TV, Docquier M, McKee TA, Jimenez CR, Daali Y, Griffioen AW, Rubbia-Brandt L, Dietrich PY, Nowak-Sliwinska P, Optimized low-dose combinatorial drug treatment boosts selectivity and efficacy of colorectal carcinoma treatment. Mol Oncol, 14(11):2894-2919(2020) [pubmed]
Keyword List
submitter keyword: Human, combination therapy,pTyr IP, single-shot , phosphoproteomics, drug selection, colorectal carcinoma, phosphokinase ranking, label-free
Contact List
Connie Ramona Jimenez
contact affiliationAmsterdam UMC, Vrije Universiteit Amsterdam, Medical Oncology, Cancer Center Amsterdam, OncoProteomics Laboratory, Amsterdam, Netherlands
contact emailc.jimenez@vumc.nl
lab head
Sander Piersma
contact affiliationOncoProteomics Laboratory, dept of Medical Oncology, VUmc Medical Center, Amsterdam, The Netherlands
contact emails.piersma@vumc.nl
dataset submitter
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Dataset FTP location
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