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Studies on mechanisms of interferon-gamma action in pancreatic cancer using a data-driven and model-based approach

BACKGROUND: Interferon-gamma (IFNγ) is a multifunctional cytokine with antifibrotic and antiproliferative efficiency. We previously found that pancreatic stellate cells (PSC), the main effector cells in cancer-associated fibrosis, are targets of IFNγ action in the pancreas. Applying a combined exper...

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Autores principales: Lange, Falko, Rateitschak, Katja, Fitzner, Brit, Pöhland, Ralf, Wolkenhauer, Olaf, Jaster, Robert
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3042009/
https://www.ncbi.nlm.nih.gov/pubmed/21310022
http://dx.doi.org/10.1186/1476-4598-10-13
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author Lange, Falko
Rateitschak, Katja
Fitzner, Brit
Pöhland, Ralf
Wolkenhauer, Olaf
Jaster, Robert
author_facet Lange, Falko
Rateitschak, Katja
Fitzner, Brit
Pöhland, Ralf
Wolkenhauer, Olaf
Jaster, Robert
author_sort Lange, Falko
collection PubMed
description BACKGROUND: Interferon-gamma (IFNγ) is a multifunctional cytokine with antifibrotic and antiproliferative efficiency. We previously found that pancreatic stellate cells (PSC), the main effector cells in cancer-associated fibrosis, are targets of IFNγ action in the pancreas. Applying a combined experimental and computational approach, we have demonstrated a pivotal role of STAT1 in IFNγ signaling in PSC. Using in vivo and in vitro models of pancreatic cancer, we have now studied IFNγ effects on the tumor cells themselves. We hypothesize that IFNγ inhibits tumor progression through two mechanisms, reduction of fibrogenesis and antiproliferative effects on the tumor cells. To elucidate the molecular action of IFNγ, we have established a mathematical model of STAT1 activation and combined experimental studies with computer simulations. RESULTS: In BALB/c-nu/nu mice, flank tumors composed of DSL-6A/C1 pancreatic cancer cells and PSC grew faster than pure DSL-6A/C1 cell tumors. IFNγ inhibited the growth of both types of tumors to a similar degree. Since the stroma reaction typically reduces the efficiency of therapeutic agents, these data suggested that IFNγ may retain its antitumor efficiency in PSC-containing tumors by targeting the stellate cells. Studies with cocultures of DSL-6A/C1 cells and PSC revealed a modest antiproliferative effect of IFNγ under serum-free conditions. Immunoblot analysis of STAT1 phosphorylation and confocal microscopy studies on the nuclear translocation of STAT1 in DSL-6A/C1 cells suggested that IFNγ-induced activation of the transcription factor was weaker than in PSC. The mathematical model not only reproduced the experimental data, but also underscored the conclusions drawn from the experiments by indicating that a maximum of 1/500 of total STAT1 is located as phosphorylated STAT1 in the nucleus upon IFNγ treatment of the tumor cells. CONCLUSIONS: IFNγ is equally effective in DSL-6A/C1 tumors with and without stellate cells. While its action in the presence of PSC may be explained by inhibition of fibrogenesis, its efficiency in PSC-free tumors is unlikely to be caused by direct effects on the tumor cells alone but may involve inhibitory effects on local stroma cells as well. To gain further insights, we also plan to apply computer simulations to the analysis of tumor growth in vivo.
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spelling pubmed-30420092011-02-25 Studies on mechanisms of interferon-gamma action in pancreatic cancer using a data-driven and model-based approach Lange, Falko Rateitschak, Katja Fitzner, Brit Pöhland, Ralf Wolkenhauer, Olaf Jaster, Robert Mol Cancer Research BACKGROUND: Interferon-gamma (IFNγ) is a multifunctional cytokine with antifibrotic and antiproliferative efficiency. We previously found that pancreatic stellate cells (PSC), the main effector cells in cancer-associated fibrosis, are targets of IFNγ action in the pancreas. Applying a combined experimental and computational approach, we have demonstrated a pivotal role of STAT1 in IFNγ signaling in PSC. Using in vivo and in vitro models of pancreatic cancer, we have now studied IFNγ effects on the tumor cells themselves. We hypothesize that IFNγ inhibits tumor progression through two mechanisms, reduction of fibrogenesis and antiproliferative effects on the tumor cells. To elucidate the molecular action of IFNγ, we have established a mathematical model of STAT1 activation and combined experimental studies with computer simulations. RESULTS: In BALB/c-nu/nu mice, flank tumors composed of DSL-6A/C1 pancreatic cancer cells and PSC grew faster than pure DSL-6A/C1 cell tumors. IFNγ inhibited the growth of both types of tumors to a similar degree. Since the stroma reaction typically reduces the efficiency of therapeutic agents, these data suggested that IFNγ may retain its antitumor efficiency in PSC-containing tumors by targeting the stellate cells. Studies with cocultures of DSL-6A/C1 cells and PSC revealed a modest antiproliferative effect of IFNγ under serum-free conditions. Immunoblot analysis of STAT1 phosphorylation and confocal microscopy studies on the nuclear translocation of STAT1 in DSL-6A/C1 cells suggested that IFNγ-induced activation of the transcription factor was weaker than in PSC. The mathematical model not only reproduced the experimental data, but also underscored the conclusions drawn from the experiments by indicating that a maximum of 1/500 of total STAT1 is located as phosphorylated STAT1 in the nucleus upon IFNγ treatment of the tumor cells. CONCLUSIONS: IFNγ is equally effective in DSL-6A/C1 tumors with and without stellate cells. While its action in the presence of PSC may be explained by inhibition of fibrogenesis, its efficiency in PSC-free tumors is unlikely to be caused by direct effects on the tumor cells alone but may involve inhibitory effects on local stroma cells as well. To gain further insights, we also plan to apply computer simulations to the analysis of tumor growth in vivo. BioMed Central 2011-02-10 /pmc/articles/PMC3042009/ /pubmed/21310022 http://dx.doi.org/10.1186/1476-4598-10-13 Text en Copyright ©2011 Lange et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Lange, Falko
Rateitschak, Katja
Fitzner, Brit
Pöhland, Ralf
Wolkenhauer, Olaf
Jaster, Robert
Studies on mechanisms of interferon-gamma action in pancreatic cancer using a data-driven and model-based approach
title Studies on mechanisms of interferon-gamma action in pancreatic cancer using a data-driven and model-based approach
title_full Studies on mechanisms of interferon-gamma action in pancreatic cancer using a data-driven and model-based approach
title_fullStr Studies on mechanisms of interferon-gamma action in pancreatic cancer using a data-driven and model-based approach
title_full_unstemmed Studies on mechanisms of interferon-gamma action in pancreatic cancer using a data-driven and model-based approach
title_short Studies on mechanisms of interferon-gamma action in pancreatic cancer using a data-driven and model-based approach
title_sort studies on mechanisms of interferon-gamma action in pancreatic cancer using a data-driven and model-based approach
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3042009/
https://www.ncbi.nlm.nih.gov/pubmed/21310022
http://dx.doi.org/10.1186/1476-4598-10-13
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