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Transcriptome profiling reveals Silibinin dose-dependent response network in non-small lung cancer cells

Silibinin (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...

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Autores principales: Kaipa, Jagan Mohan, Starkuviene, Vytaute, Erfle, Holger, Eils, Roland, Gladilin, Evgeny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7749657/
https://www.ncbi.nlm.nih.gov/pubmed/33362957
http://dx.doi.org/10.7717/peerj.10373
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author Kaipa, Jagan Mohan
Starkuviene, Vytaute
Erfle, Holger
Eils, Roland
Gladilin, Evgeny
author_facet Kaipa, Jagan Mohan
Starkuviene, Vytaute
Erfle, Holger
Eils, Roland
Gladilin, Evgeny
author_sort Kaipa, Jagan Mohan
collection PubMed
description Silibinin (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.
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spelling pubmed-77496572020-12-24 Transcriptome profiling reveals Silibinin dose-dependent response network in non-small lung cancer cells Kaipa, Jagan Mohan Starkuviene, Vytaute Erfle, Holger Eils, Roland Gladilin, Evgeny PeerJ Bioinformatics Silibinin (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. PeerJ Inc. 2020-12-16 /pmc/articles/PMC7749657/ /pubmed/33362957 http://dx.doi.org/10.7717/peerj.10373 Text en ©2020 Kaipa et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Kaipa, Jagan Mohan
Starkuviene, Vytaute
Erfle, Holger
Eils, Roland
Gladilin, Evgeny
Transcriptome profiling reveals Silibinin dose-dependent response network in non-small lung cancer cells
title Transcriptome profiling reveals Silibinin dose-dependent response network in non-small lung cancer cells
title_full Transcriptome profiling reveals Silibinin dose-dependent response network in non-small lung cancer cells
title_fullStr Transcriptome profiling reveals Silibinin dose-dependent response network in non-small lung cancer cells
title_full_unstemmed Transcriptome profiling reveals Silibinin dose-dependent response network in non-small lung cancer cells
title_short Transcriptome profiling reveals Silibinin dose-dependent response network in non-small lung cancer cells
title_sort transcriptome profiling reveals silibinin dose-dependent response network in non-small lung cancer cells
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7749657/
https://www.ncbi.nlm.nih.gov/pubmed/33362957
http://dx.doi.org/10.7717/peerj.10373
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