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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2020
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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. |
format | Online Article Text |
id | pubmed-7749657 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
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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