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2017 | OriginalPaper | Buchkapitel

Modeling PI3K/PDK1/Akt and MAPK Signaling Pathways Using Continuous Petri Nets

verfasst von : Giulia Russo, Marzio Pennisi, Roberta Boscarino, Francesco Pappalardo

Erschienen in: Intelligent Computing Theories and Application

Verlag: Springer International Publishing

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Abstract

Malignant melanoma is an invasive skin cancer commonly resistant to conventional therapeutic approaches. Genetic and molecular alterations as mutations of BRAF gene, able to constitutively activate MAPK and PI3K/PDK1/Akt signalling pathways, seem to be responsible of malignant melanocytic transformation and lead to aberrant cellular physiological processes. Specific regulators and modulators of both signaling pathways may represent promising therapeutic targets to investigate drug resistance typical of BRAF-inhibitors such as Dabrafenib. We developed a continuous Petri Net model that simulates both MAPK and PI3K/PDK1/Akt pathways and their interactions in order to analyze the complex kinase cascades in melanoma and to predict new crucial nodes involved in drug resistance like in the Ras arm.

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Literatur
1.
Zurück zum Zitat Russo, A.E., Torrisi, E., Bevelacqua, Y., Perrotta, R., Libra, M., McCubrey, J.A., Spandidos, D.A., Stivala, F., Malaponte, G.: Melanoma: molecular pathogenesis and emerging target therapies (Review). Int. J. Oncol. 34, 414–420 (2014) Russo, A.E., Torrisi, E., Bevelacqua, Y., Perrotta, R., Libra, M., McCubrey, J.A., Spandidos, D.A., Stivala, F., Malaponte, G.: Melanoma: molecular pathogenesis and emerging target therapies (Review). Int. J. Oncol. 34, 414–420 (2014)
2.
Zurück zum Zitat Ferlay, J., Soerjomataram, I., Ervik, M., Dikshit, R., Eser, S., Mathers, C., Rebelo, M., Parkin, D.M., Forman, D., Bray, F.: Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int. J. Cancer 136, 359–386 (2013)CrossRef Ferlay, J., Soerjomataram, I., Ervik, M., Dikshit, R., Eser, S., Mathers, C., Rebelo, M., Parkin, D.M., Forman, D., Bray, F.: Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int. J. Cancer 136, 359–386 (2013)CrossRef
3.
Zurück zum Zitat Manzano, J.L., Layos, L., Bugés, C., de Los Llanos Gil, M., Vila, L., Martínez-Balibrea, E., Martínez-Cardús, A.: Resistant mechanisms to BRAF inhibitors in melanoma. Ann. Transl. Med. 4, 237 (2016)CrossRef Manzano, J.L., Layos, L., Bugés, C., de Los Llanos Gil, M., Vila, L., Martínez-Balibrea, E., Martínez-Cardús, A.: Resistant mechanisms to BRAF inhibitors in melanoma. Ann. Transl. Med. 4, 237 (2016)CrossRef
4.
Zurück zum Zitat Libra, M., Malaponte, G., Navolanic, P.M., Gangemi, P., Bevelacqua, V., Proietti, L., Bruni, B., Stivala, F., Mazzarino, M.C., Travali, S., McCubrey, J.A.: Analysis of BRAF mutation in primary and metastatic melanoma. Cell Cycle 4, 1382–1384 (2005)CrossRef Libra, M., Malaponte, G., Navolanic, P.M., Gangemi, P., Bevelacqua, V., Proietti, L., Bruni, B., Stivala, F., Mazzarino, M.C., Travali, S., McCubrey, J.A.: Analysis of BRAF mutation in primary and metastatic melanoma. Cell Cycle 4, 1382–1384 (2005)CrossRef
5.
Zurück zum Zitat Garnett, M.J., Marais, R.: Guilty as charged: B-RAF is a human oncogene. Cancer Cell 6, 313–319 (2004)CrossRef Garnett, M.J., Marais, R.: Guilty as charged: B-RAF is a human oncogene. Cancer Cell 6, 313–319 (2004)CrossRef
6.
Zurück zum Zitat Brodland, G.W.: How computational models can help unlock biological systems. Semin. Cell Dev. Biol. 47–48, 62–73 (2015)CrossRef Brodland, G.W.: How computational models can help unlock biological systems. Semin. Cell Dev. Biol. 47–48, 62–73 (2015)CrossRef
7.
Zurück zum Zitat Pappalardo, F., Fichera, E., Paparone, N., Lombardo, A., Pennisi, M., Russo, G., Leotta, M., Pappalardo, F., Pedretti, A., De Fiore, F., Motta, S.: A computational model to predict the immune system activation by citrus-derived vaccine adjuvants. Bioinformatics 32, 2672–2680 (2016)CrossRef Pappalardo, F., Fichera, E., Paparone, N., Lombardo, A., Pennisi, M., Russo, G., Leotta, M., Pappalardo, F., Pedretti, A., De Fiore, F., Motta, S.: A computational model to predict the immune system activation by citrus-derived vaccine adjuvants. Bioinformatics 32, 2672–2680 (2016)CrossRef
8.
Zurück zum Zitat Castiglione, F., Pappalardo, F., Bianca, C., Russo, G., Motta, S.: Modeling biology spanning different scales: An open challenge. Biomed. Res. Int. 2014, 902545 (2014)CrossRef Castiglione, F., Pappalardo, F., Bianca, C., Russo, G., Motta, S.: Modeling biology spanning different scales: An open challenge. Biomed. Res. Int. 2014, 902545 (2014)CrossRef
9.
Zurück zum Zitat Gullo, F., van der Garde, M., Russo, G., Pennisi, M., Motta, S., Pappalardo, F., Watt, S.: Computational modeling of the expansion of human cord blood CD133 + hematopoietic stem/progenitor cells with different cytokine combinations. Bioinformatics 31, 2514–2522 (2015)CrossRef Gullo, F., van der Garde, M., Russo, G., Pennisi, M., Motta, S., Pappalardo, F., Watt, S.: Computational modeling of the expansion of human cord blood CD133 + hematopoietic stem/progenitor cells with different cytokine combinations. Bioinformatics 31, 2514–2522 (2015)CrossRef
10.
Zurück zum Zitat Pappalardo, F., Palladini, A., Pennisi, M., Castiglione, F., Motta, S.: Mathematical and computational models in tumor immunology. Math. Model. Nat. Phenom. 7, 186–203 (2012)MathSciNetCrossRefMATH Pappalardo, F., Palladini, A., Pennisi, M., Castiglione, F., Motta, S.: Mathematical and computational models in tumor immunology. Math. Model. Nat. Phenom. 7, 186–203 (2012)MathSciNetCrossRefMATH
11.
Zurück zum Zitat Pappalardo, F., Russo, G., Candido, S., Pennisi, M., Cavalieri, S., Motta, S., McCubrey, J.A., Nicoletti, F., Libra, M.: Computational modeling of PI3K/AKT and MAPK signaling pathways in melanoma Cancer. PLoS ONE 11, e0152104 (2016)CrossRef Pappalardo, F., Russo, G., Candido, S., Pennisi, M., Cavalieri, S., Motta, S., McCubrey, J.A., Nicoletti, F., Libra, M.: Computational modeling of PI3K/AKT and MAPK signaling pathways in melanoma Cancer. PLoS ONE 11, e0152104 (2016)CrossRef
12.
Zurück zum Zitat Vennepureddy, A., Thumallapallya, N., Nehrua, V.M., Atallahb, J.P., Terjanianb, T.: Drugs and Combination Therapies for the Treatment of Metastatic Melanoma. J. Clin. Med. Res. 8, 63–75 (2016)CrossRef Vennepureddy, A., Thumallapallya, N., Nehrua, V.M., Atallahb, J.P., Terjanianb, T.: Drugs and Combination Therapies for the Treatment of Metastatic Melanoma. J. Clin. Med. Res. 8, 63–75 (2016)CrossRef
13.
Zurück zum Zitat Murata, T.: Petri nets: properties, analysis and applications. Proc. IEEE 77, 541–580 (1989)CrossRef Murata, T.: Petri nets: properties, analysis and applications. Proc. IEEE 77, 541–580 (1989)CrossRef
14.
15.
Zurück zum Zitat Brown, K.S., Hill, C.C., Calero, G.A., Myers, C.R., Lee, K.H., Sethna, J.P., Cerione, R.A.: The statistical mechanics of complex signaling networks: nerve growth factor signaling. Phys. Biol. 1, 184–195 (2004)CrossRef Brown, K.S., Hill, C.C., Calero, G.A., Myers, C.R., Lee, K.H., Sethna, J.P., Cerione, R.A.: The statistical mechanics of complex signaling networks: nerve growth factor signaling. Phys. Biol. 1, 184–195 (2004)CrossRef
16.
Zurück zum Zitat Kanehisa, M., Goto, S., Kawashima, S., Okuno, Y., Hattori, M.: The KEGG resource for deciphering the genome. Nucleic Acids Res. 32, 277–280 (2004)CrossRef Kanehisa, M., Goto, S., Kawashima, S., Okuno, Y., Hattori, M.: The KEGG resource for deciphering the genome. Nucleic Acids Res. 32, 277–280 (2004)CrossRef
Metadaten
Titel
Modeling PI3K/PDK1/Akt and MAPK Signaling Pathways Using Continuous Petri Nets
verfasst von
Giulia Russo
Marzio Pennisi
Roberta Boscarino
Francesco Pappalardo
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-63312-1_15