Computational Modeling of PI3K/AKT and MAPK Signaling Pathways in Melanoma Cancer.

BACKGROUND:Malignant melanoma is an aggressive tumor of the skin and seems to be resistant to current therapeutic approaches. Melanocytic transformation is thought to occur by sequential accumulation of genetic and molecular alterations able to activate the Ras/Raf/MEK/ERK (MAPK) and/or the PI3K/AKT...

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Main Authors: Francesco Pappalardo, Giulia Russo, Saverio Candido, Marzio Pennisi, Salvatore Cavalieri, Santo Motta, James A McCubrey, Ferdinando Nicoletti, Massimo Libra
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4807832?pdf=render
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spelling doaj-be399df6fffe4d2f87c7277baad11fad2020-11-25T01:26:48ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01113e015210410.1371/journal.pone.0152104Computational Modeling of PI3K/AKT and MAPK Signaling Pathways in Melanoma Cancer.Francesco PappalardoGiulia RussoSaverio CandidoMarzio PennisiSalvatore CavalieriSanto MottaJames A McCubreyFerdinando NicolettiMassimo LibraBACKGROUND:Malignant melanoma is an aggressive tumor of the skin and seems to be resistant to current therapeutic approaches. Melanocytic transformation is thought to occur by sequential accumulation of genetic and molecular alterations able to activate the Ras/Raf/MEK/ERK (MAPK) and/or the PI3K/AKT (AKT) signalling pathways. Specifically, mutations of B-RAF activate MAPK pathway resulting in cell cycle progression and apoptosis prevention. According to these findings, MAPK and AKT pathways may represent promising therapeutic targets for an otherwise devastating disease. RESULT:Here we show a computational model able to simulate the main biochemical and metabolic interactions in the PI3K/AKT and MAPK pathways potentially involved in melanoma development. Overall, this computational approach may accelerate the drug discovery process and encourages the identification of novel pathway activators with consequent development of novel antioncogenic compounds to overcome tumor cell resistance to conventional therapeutic agents. The source code of the various versions of the model are available as S1 Archive.http://europepmc.org/articles/PMC4807832?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Francesco Pappalardo
Giulia Russo
Saverio Candido
Marzio Pennisi
Salvatore Cavalieri
Santo Motta
James A McCubrey
Ferdinando Nicoletti
Massimo Libra
spellingShingle Francesco Pappalardo
Giulia Russo
Saverio Candido
Marzio Pennisi
Salvatore Cavalieri
Santo Motta
James A McCubrey
Ferdinando Nicoletti
Massimo Libra
Computational Modeling of PI3K/AKT and MAPK Signaling Pathways in Melanoma Cancer.
PLoS ONE
author_facet Francesco Pappalardo
Giulia Russo
Saverio Candido
Marzio Pennisi
Salvatore Cavalieri
Santo Motta
James A McCubrey
Ferdinando Nicoletti
Massimo Libra
author_sort Francesco Pappalardo
title Computational Modeling of PI3K/AKT and MAPK Signaling Pathways in Melanoma Cancer.
title_short Computational Modeling of PI3K/AKT and MAPK Signaling Pathways in Melanoma Cancer.
title_full Computational Modeling of PI3K/AKT and MAPK Signaling Pathways in Melanoma Cancer.
title_fullStr Computational Modeling of PI3K/AKT and MAPK Signaling Pathways in Melanoma Cancer.
title_full_unstemmed Computational Modeling of PI3K/AKT and MAPK Signaling Pathways in Melanoma Cancer.
title_sort computational modeling of pi3k/akt and mapk signaling pathways in melanoma cancer.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2016-01-01
description BACKGROUND:Malignant melanoma is an aggressive tumor of the skin and seems to be resistant to current therapeutic approaches. Melanocytic transformation is thought to occur by sequential accumulation of genetic and molecular alterations able to activate the Ras/Raf/MEK/ERK (MAPK) and/or the PI3K/AKT (AKT) signalling pathways. Specifically, mutations of B-RAF activate MAPK pathway resulting in cell cycle progression and apoptosis prevention. According to these findings, MAPK and AKT pathways may represent promising therapeutic targets for an otherwise devastating disease. RESULT:Here we show a computational model able to simulate the main biochemical and metabolic interactions in the PI3K/AKT and MAPK pathways potentially involved in melanoma development. Overall, this computational approach may accelerate the drug discovery process and encourages the identification of novel pathway activators with consequent development of novel antioncogenic compounds to overcome tumor cell resistance to conventional therapeutic agents. The source code of the various versions of the model are available as S1 Archive.
url http://europepmc.org/articles/PMC4807832?pdf=render
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