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dc.contributor.authorKaipa, Jagan Mohan
dc.contributor.authorStarkuviene, Vytaute
dc.contributor.authorErfle, Holger
dc.contributor.authorEils, Roland
dc.contributor.authorGladilin, Evgeny
dc.date.accessioned2021-01-15T15:19:46Z
dc.date.available2021-01-15T15:19:46Z
dc.date.issued2020-12-16
dc.identifier.citationPeerJ. 2020 Dec 16;8:e10373. doi: 10.7717/peerj.10373.en_US
dc.identifier.issn2167-8359
dc.identifier.pmid33362957
dc.identifier.doi10.7717/peerj.10373
dc.identifier.urihttp://hdl.handle.net/10033/622686
dc.description.abstractSilibinin (SIL), a natural flavonolignan from the milk thistle (Silybum marianum), is known to exhibit remarkable hepatoprotective, antineoplastic and EMT inhibiting effects in different cancer cells by targeting multiple molecular targets and pathways. However, the predominant majority of previous studies investigated effects of this phytocompound in a one particular cell line. Here, we carry out a systematic analysis of dose-dependent viability response to SIL in five non-small cell lung cancer (NSCLC) lines that gradually differ with respect to their intrinsic EMT stage. By correlating gene expression profiles of NSCLC cell lines with the pattern of their SIL IC50 response, a group of cell cycle, survival and stress responsive genes, including some prominent targets of STAT3 (BIRC5, FOXM1, BRCA1), was identified. The relevancy of these computationally selected genes to SIL viability response of NSCLC cells was confirmed by the transient knockdown test. In contrast to other EMT-inhibiting compounds, no correlation between the SIL IC50 and the intrinsic EMT stage of NSCLC cells was observed. Our experimental results show that SIL viability response of differently constituted NSCLC cells is linked to a subnetwork of tightly interconnected genes whose transcriptomic pattern can be used as a benchmark for assessment of individual SIL sensitivity instead of the conventional EMT signature. Insights gained in this study pave the way for optimization of customized adjuvant therapy of malignancies using Silibinin.en_US
dc.language.isoenen_US
dc.publisherPeer Jen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectAdjuvant cancer therapyen_US
dc.subjectCustom drug responseen_US
dc.subjectDrug susceptibility networken_US
dc.subjectSilibininen_US
dc.subjectTranscriptome profilingen_US
dc.titleTranscriptome profiling reveals Silibinin dose-dependent response network in non-small lung cancer cells.en_US
dc.typeArticleen_US
dc.contributor.departmentHZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany.en_US
dc.identifier.journalPeerJen_US
dc.source.volume8
dc.source.beginpagee10373
dc.source.endpage
refterms.dateFOA2021-01-15T15:19:47Z
dc.source.journaltitlePeerJ
dc.source.countryUnited States


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International