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Mechanistically detailed systems biology modeling of the HGF/Met pathway in hepatocellular carcinoma

Hepatocyte growth factor (HGF) signaling through its receptor Met has been implicated in hepatocellular carcinoma tumorigenesis and progression. Met interaction with integrins is shown to modulate the downstream signaling to Akt and ERK (extracellular-regulated kinase). In this study, we developed a...

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Autores principales: Jafarnejad, Mohammad, Sové, Richard J., Danilova, Ludmila, Mirando, Adam C., Zhang, Yu, Yarchoan, Mark, Tran, Phuoc T., Pandey, Niranjan B., Fertig, Elana J., Popel, Aleksander S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6697704/
https://www.ncbi.nlm.nih.gov/pubmed/31452933
http://dx.doi.org/10.1038/s41540-019-0107-2
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author Jafarnejad, Mohammad
Sové, Richard J.
Danilova, Ludmila
Mirando, Adam C.
Zhang, Yu
Yarchoan, Mark
Tran, Phuoc T.
Pandey, Niranjan B.
Fertig, Elana J.
Popel, Aleksander S.
author_facet Jafarnejad, Mohammad
Sové, Richard J.
Danilova, Ludmila
Mirando, Adam C.
Zhang, Yu
Yarchoan, Mark
Tran, Phuoc T.
Pandey, Niranjan B.
Fertig, Elana J.
Popel, Aleksander S.
author_sort Jafarnejad, Mohammad
collection PubMed
description Hepatocyte growth factor (HGF) signaling through its receptor Met has been implicated in hepatocellular carcinoma tumorigenesis and progression. Met interaction with integrins is shown to modulate the downstream signaling to Akt and ERK (extracellular-regulated kinase). In this study, we developed a mechanistically detailed systems biology model of HGF/Met signaling pathway that incorporated specific interactions with integrins to investigate the efficacy of integrin-binding peptide, AXT050, as monotherapy and in combination with other therapeutics targeting this pathway. Here we report that the modeled dynamics of the response to AXT050 revealed that receptor trafficking is sufficient to explain the effect of Met–integrin interactions on HGF signaling. Furthermore, the model predicted patient-specific synergy and antagonism of efficacy and potency for combination of AXT050 with sorafenib, cabozantinib, and rilotumumab. Overall, the model provides a valuable framework for studying the efficacy of drugs targeting receptor tyrosine kinase interaction with integrins, and identification of synergistic drug combinations for the patients.
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spelling pubmed-66977042019-08-26 Mechanistically detailed systems biology modeling of the HGF/Met pathway in hepatocellular carcinoma Jafarnejad, Mohammad Sové, Richard J. Danilova, Ludmila Mirando, Adam C. Zhang, Yu Yarchoan, Mark Tran, Phuoc T. Pandey, Niranjan B. Fertig, Elana J. Popel, Aleksander S. NPJ Syst Biol Appl Article Hepatocyte growth factor (HGF) signaling through its receptor Met has been implicated in hepatocellular carcinoma tumorigenesis and progression. Met interaction with integrins is shown to modulate the downstream signaling to Akt and ERK (extracellular-regulated kinase). In this study, we developed a mechanistically detailed systems biology model of HGF/Met signaling pathway that incorporated specific interactions with integrins to investigate the efficacy of integrin-binding peptide, AXT050, as monotherapy and in combination with other therapeutics targeting this pathway. Here we report that the modeled dynamics of the response to AXT050 revealed that receptor trafficking is sufficient to explain the effect of Met–integrin interactions on HGF signaling. Furthermore, the model predicted patient-specific synergy and antagonism of efficacy and potency for combination of AXT050 with sorafenib, cabozantinib, and rilotumumab. Overall, the model provides a valuable framework for studying the efficacy of drugs targeting receptor tyrosine kinase interaction with integrins, and identification of synergistic drug combinations for the patients. Nature Publishing Group UK 2019-08-16 /pmc/articles/PMC6697704/ /pubmed/31452933 http://dx.doi.org/10.1038/s41540-019-0107-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Jafarnejad, Mohammad
Sové, Richard J.
Danilova, Ludmila
Mirando, Adam C.
Zhang, Yu
Yarchoan, Mark
Tran, Phuoc T.
Pandey, Niranjan B.
Fertig, Elana J.
Popel, Aleksander S.
Mechanistically detailed systems biology modeling of the HGF/Met pathway in hepatocellular carcinoma
title Mechanistically detailed systems biology modeling of the HGF/Met pathway in hepatocellular carcinoma
title_full Mechanistically detailed systems biology modeling of the HGF/Met pathway in hepatocellular carcinoma
title_fullStr Mechanistically detailed systems biology modeling of the HGF/Met pathway in hepatocellular carcinoma
title_full_unstemmed Mechanistically detailed systems biology modeling of the HGF/Met pathway in hepatocellular carcinoma
title_short Mechanistically detailed systems biology modeling of the HGF/Met pathway in hepatocellular carcinoma
title_sort mechanistically detailed systems biology modeling of the hgf/met pathway in hepatocellular carcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6697704/
https://www.ncbi.nlm.nih.gov/pubmed/31452933
http://dx.doi.org/10.1038/s41540-019-0107-2
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