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Proteomic Profile and In Silico Analysis in Metastatic Melanoma with and without BRAF Mutation

INTRODUCTION: Selective inhibitors of BRAF, vemurafenib and dabrafenib are the standard of care for metastatic melanoma patients with BRAF V600, while chemotherapy continued to be widely used in BRAF wild type patients. MATERIALS AND METHODS: In order to discover novel candidate biomarkers predictiv...

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Autores principales: Garrisi, Vito Michele, Strippoli, Sabino, De Summa, Simona, Pinto, Rosamaria, Perrone, Antonella, Guida, Gabriella, Azzariti, Amalia, Guida, Michele, Stefania, Tommasi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4249853/
https://www.ncbi.nlm.nih.gov/pubmed/25437182
http://dx.doi.org/10.1371/journal.pone.0112025
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author Garrisi, Vito Michele
Strippoli, Sabino
De Summa, Simona
Pinto, Rosamaria
Perrone, Antonella
Guida, Gabriella
Azzariti, Amalia
Guida, Michele
Stefania, Tommasi
author_facet Garrisi, Vito Michele
Strippoli, Sabino
De Summa, Simona
Pinto, Rosamaria
Perrone, Antonella
Guida, Gabriella
Azzariti, Amalia
Guida, Michele
Stefania, Tommasi
author_sort Garrisi, Vito Michele
collection PubMed
description INTRODUCTION: Selective inhibitors of BRAF, vemurafenib and dabrafenib are the standard of care for metastatic melanoma patients with BRAF V600, while chemotherapy continued to be widely used in BRAF wild type patients. MATERIALS AND METHODS: In order to discover novel candidate biomarkers predictive to treatment, serum of 39 metastatic melanoma vemurafenib (n = 19) or chemotherapy (n = 20) treated patients at baseline, at disease control and at progression, were analyzed using SELDI-TOF technology. In silico analysis was used to identify more significant peaks. RESULTS: In patients with different BRAF status, we found 5 peptides significantly deregulated, with the down-regulation of the m/z 9176 peak strongly associated with BRAF mutation. At baseline as predictive biomarkers we identified 2 peptides - m/z 6411, 4075 – as significantly up-regulated in responders to chemotherapy and 4 peaks - m/z 5900, 12544, 49124 and 11724 - significantly up-regulated in longer vs shorter responders to vemurafenib. After response, 3 peptides (m/z 4658, 18639, and 9307) resulted significantly down regulated while 3 peptides m/z 9292, 7765 and 9176 appeared up-regulated respectively in chemotherapy and vemurafenib responder patients. In vemurafenib treated patients, 16 peaks appeared deregulated at progression compared to baseline time. In silico analysis identified proteins involved in invasiveness (SLAIN1) and resistance (ABCC12) as well as in the pathway of detoxification (NQO1) and apoptosis (RBM10, TOX3, MTEFD1, TSPO2). Proteins associated with the modulation of neuronal plasticity (RIN1) and regulatory activity factors of gene transcription (KLF17, ZBTB44) were also highlighted. CONCLUSION: Our exploratory study highlighted some factors that deserve to be further investigated in order to provide a framework for improving melanoma treatment management through the development of biomarkers which could act as the strongest surrogates of the key biological events in stage IV melanoma.
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spelling pubmed-42498532014-12-05 Proteomic Profile and In Silico Analysis in Metastatic Melanoma with and without BRAF Mutation Garrisi, Vito Michele Strippoli, Sabino De Summa, Simona Pinto, Rosamaria Perrone, Antonella Guida, Gabriella Azzariti, Amalia Guida, Michele Stefania, Tommasi PLoS One Research Article INTRODUCTION: Selective inhibitors of BRAF, vemurafenib and dabrafenib are the standard of care for metastatic melanoma patients with BRAF V600, while chemotherapy continued to be widely used in BRAF wild type patients. MATERIALS AND METHODS: In order to discover novel candidate biomarkers predictive to treatment, serum of 39 metastatic melanoma vemurafenib (n = 19) or chemotherapy (n = 20) treated patients at baseline, at disease control and at progression, were analyzed using SELDI-TOF technology. In silico analysis was used to identify more significant peaks. RESULTS: In patients with different BRAF status, we found 5 peptides significantly deregulated, with the down-regulation of the m/z 9176 peak strongly associated with BRAF mutation. At baseline as predictive biomarkers we identified 2 peptides - m/z 6411, 4075 – as significantly up-regulated in responders to chemotherapy and 4 peaks - m/z 5900, 12544, 49124 and 11724 - significantly up-regulated in longer vs shorter responders to vemurafenib. After response, 3 peptides (m/z 4658, 18639, and 9307) resulted significantly down regulated while 3 peptides m/z 9292, 7765 and 9176 appeared up-regulated respectively in chemotherapy and vemurafenib responder patients. In vemurafenib treated patients, 16 peaks appeared deregulated at progression compared to baseline time. In silico analysis identified proteins involved in invasiveness (SLAIN1) and resistance (ABCC12) as well as in the pathway of detoxification (NQO1) and apoptosis (RBM10, TOX3, MTEFD1, TSPO2). Proteins associated with the modulation of neuronal plasticity (RIN1) and regulatory activity factors of gene transcription (KLF17, ZBTB44) were also highlighted. CONCLUSION: Our exploratory study highlighted some factors that deserve to be further investigated in order to provide a framework for improving melanoma treatment management through the development of biomarkers which could act as the strongest surrogates of the key biological events in stage IV melanoma. Public Library of Science 2014-12-01 /pmc/articles/PMC4249853/ /pubmed/25437182 http://dx.doi.org/10.1371/journal.pone.0112025 Text en © 2014 Garrisi et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Garrisi, Vito Michele
Strippoli, Sabino
De Summa, Simona
Pinto, Rosamaria
Perrone, Antonella
Guida, Gabriella
Azzariti, Amalia
Guida, Michele
Stefania, Tommasi
Proteomic Profile and In Silico Analysis in Metastatic Melanoma with and without BRAF Mutation
title Proteomic Profile and In Silico Analysis in Metastatic Melanoma with and without BRAF Mutation
title_full Proteomic Profile and In Silico Analysis in Metastatic Melanoma with and without BRAF Mutation
title_fullStr Proteomic Profile and In Silico Analysis in Metastatic Melanoma with and without BRAF Mutation
title_full_unstemmed Proteomic Profile and In Silico Analysis in Metastatic Melanoma with and without BRAF Mutation
title_short Proteomic Profile and In Silico Analysis in Metastatic Melanoma with and without BRAF Mutation
title_sort proteomic profile and in silico analysis in metastatic melanoma with and without braf mutation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4249853/
https://www.ncbi.nlm.nih.gov/pubmed/25437182
http://dx.doi.org/10.1371/journal.pone.0112025
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