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IRF-1 responsiveness to IFN-γ predicts different cancer immune phenotypes

BACKGROUND: Several lines of evidence suggest a dichotomy between immune active and quiescent cancers, with the former associated with a good prognostic phenotype and better responsiveness to immunotherapy. Central to such dichotomy is the master regulator of the acute inflammatory process interfero...

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Autores principales: Murtas, D, Maric, D, De Giorgi, V, Reinboth, J, Worschech, A, Fetsch, P, Filie, A, Ascierto, M L, Bedognetti, D, Liu, Q, Uccellini, L, Chouchane, L, Wang, E, Marincola, F M, Tomei, S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3708578/
https://www.ncbi.nlm.nih.gov/pubmed/23807161
http://dx.doi.org/10.1038/bjc.2013.335
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author Murtas, D
Maric, D
De Giorgi, V
Reinboth, J
Worschech, A
Fetsch, P
Filie, A
Ascierto, M L
Bedognetti, D
Liu, Q
Uccellini, L
Chouchane, L
Wang, E
Marincola, F M
Tomei, S
author_facet Murtas, D
Maric, D
De Giorgi, V
Reinboth, J
Worschech, A
Fetsch, P
Filie, A
Ascierto, M L
Bedognetti, D
Liu, Q
Uccellini, L
Chouchane, L
Wang, E
Marincola, F M
Tomei, S
author_sort Murtas, D
collection PubMed
description BACKGROUND: Several lines of evidence suggest a dichotomy between immune active and quiescent cancers, with the former associated with a good prognostic phenotype and better responsiveness to immunotherapy. Central to such dichotomy is the master regulator of the acute inflammatory process interferon regulatory factor (IRF)-1. However, it remains unknown whether the responsiveness of IRF-1 to cytokines is able to differentiate cancer immune phenotypes. METHODS: IRF-1 activation was measured in 15 melanoma cell lines at basal level and after treatment with IFN-γ, TNF-α and a combination of both. Microarray analysis was used to compare transcriptional patterns between cell lines characterised by high or low IRF-1 activation. RESULTS: We observed a strong positive correlation between IRF-1 activation at basal level and after IFN-γ and TNF-α treatment. Microarray demonstrated that three cell lines with low and three with high IRF-1 inducible translocation scores differed in the expression of 597 transcripts. Functional interpretation analysis showed mTOR and Wnt/β-cathenin as the top downregulated pathways in the cell lines with low inducible IRF-1 activation, suggesting that a low IRF-1 inducibility recapitulates a cancer phenotype already described in literature characterised by poor prognosis. CONCLUSION: Our findings support the central role of IRF-1 in influencing different tumour phenotypes.
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spelling pubmed-37085782013-07-12 IRF-1 responsiveness to IFN-γ predicts different cancer immune phenotypes Murtas, D Maric, D De Giorgi, V Reinboth, J Worschech, A Fetsch, P Filie, A Ascierto, M L Bedognetti, D Liu, Q Uccellini, L Chouchane, L Wang, E Marincola, F M Tomei, S Br J Cancer Translational Therapeutics BACKGROUND: Several lines of evidence suggest a dichotomy between immune active and quiescent cancers, with the former associated with a good prognostic phenotype and better responsiveness to immunotherapy. Central to such dichotomy is the master regulator of the acute inflammatory process interferon regulatory factor (IRF)-1. However, it remains unknown whether the responsiveness of IRF-1 to cytokines is able to differentiate cancer immune phenotypes. METHODS: IRF-1 activation was measured in 15 melanoma cell lines at basal level and after treatment with IFN-γ, TNF-α and a combination of both. Microarray analysis was used to compare transcriptional patterns between cell lines characterised by high or low IRF-1 activation. RESULTS: We observed a strong positive correlation between IRF-1 activation at basal level and after IFN-γ and TNF-α treatment. Microarray demonstrated that three cell lines with low and three with high IRF-1 inducible translocation scores differed in the expression of 597 transcripts. Functional interpretation analysis showed mTOR and Wnt/β-cathenin as the top downregulated pathways in the cell lines with low inducible IRF-1 activation, suggesting that a low IRF-1 inducibility recapitulates a cancer phenotype already described in literature characterised by poor prognosis. CONCLUSION: Our findings support the central role of IRF-1 in influencing different tumour phenotypes. Nature Publishing Group 2013-07-09 2013-06-27 /pmc/articles/PMC3708578/ /pubmed/23807161 http://dx.doi.org/10.1038/bjc.2013.335 Text en Copyright © 2013 Cancer Research UK http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
spellingShingle Translational Therapeutics
Murtas, D
Maric, D
De Giorgi, V
Reinboth, J
Worschech, A
Fetsch, P
Filie, A
Ascierto, M L
Bedognetti, D
Liu, Q
Uccellini, L
Chouchane, L
Wang, E
Marincola, F M
Tomei, S
IRF-1 responsiveness to IFN-γ predicts different cancer immune phenotypes
title IRF-1 responsiveness to IFN-γ predicts different cancer immune phenotypes
title_full IRF-1 responsiveness to IFN-γ predicts different cancer immune phenotypes
title_fullStr IRF-1 responsiveness to IFN-γ predicts different cancer immune phenotypes
title_full_unstemmed IRF-1 responsiveness to IFN-γ predicts different cancer immune phenotypes
title_short IRF-1 responsiveness to IFN-γ predicts different cancer immune phenotypes
title_sort irf-1 responsiveness to ifn-γ predicts different cancer immune phenotypes
topic Translational Therapeutics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3708578/
https://www.ncbi.nlm.nih.gov/pubmed/23807161
http://dx.doi.org/10.1038/bjc.2013.335
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