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dc.date.accessioned2021-04-27T19:32:25Z
dc.date.available2021-04-27T19:32:25Z
dc.date.created2021-03-10T21:16:25Z
dc.date.issued2021
dc.identifier.citationGrad, Iwona Hanes, Robert Ayuda-Durán, Pilar Kuijjer, Marieke Lydia Enserink, Jorrit Meza-Zepeda, Leonardo A Myklebost, Ola . Discovery of novel candidates for anti- liposarcoma therapies by medium-scale high-throughput drug screening. PLOS ONE. 2021, 16(3)
dc.identifier.urihttp://hdl.handle.net/10852/85673
dc.description.abstractSarcomas are a heterogeneous group of mesenchymal orphan cancers and new treatment alternatives beyond traditional chemotherapeutic regimes are much needed. So far, tumor mutation analysis has not led to significant treatment advances, and we have attempted to bypass this limitation by performing direct drug testing of a library of 353 anti-cancer compounds that are either FDA-approved, in clinical trial, or in advanced stages of preclinical development on a panel of 13 liposarcoma cell lines. We identified and validated six drugs, targeting different mechanisms and with good efficiency across the cell lines: MLN2238 –a proteasome inhibitor, GSK2126458 –a PI3K/mTOR inhibitor, JNJ-26481585 –a histone deacetylase inhibitor, triptolide–a multi-target drug, YM155 –a survivin inhibitor, and APO866 (FK866)–a nicotinamide phosphoribosyl transferase inhibitor. GR50s for those drugs were mostly in the nanomolar range, and in many cases below 10 nM. These drugs had long-lasting effect upon drug withdrawal, limited toxicity to normal cells and good efficacy also against tumor explants. Finally, we identified potential genomic biomarkers of their efficacy. Being approved or in clinical trials, these drugs are promising candidates for liposarcoma treatment.
dc.languageEN
dc.publisherPLOS
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleDiscovery of novel candidates for anti- liposarcoma therapies by medium-scale high-throughput drug screening
dc.typeJournal article
dc.creator.authorGrad, Iwona
dc.creator.authorHanes, Robert
dc.creator.authorAyuda-Durán, Pilar
dc.creator.authorKuijjer, Marieke Lydia
dc.creator.authorEnserink, Jorrit
dc.creator.authorMeza-Zepeda, Leonardo A
dc.creator.authorMyklebost, Ola
cristin.unitcode185,57,55,0
cristin.unitnameMarieke Kuijjer Group - Computational Biology and Systems Medicine
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin1897127
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=PLOS ONE&rft.volume=16&rft.spage=&rft.date=2021
dc.identifier.jtitlePLOS ONE
dc.identifier.volume16
dc.identifier.issue3
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0248140
dc.identifier.urnURN:NBN:no-88350
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn1932-6203
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/85673/1/journal.pone.0248140.pdf
dc.type.versionPublishedVersion
cristin.articleide0248140
dc.relation.projectNFR/187615


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