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How Nanotechnology and Biomedical Engineering Are Supporting the Identification of Predictive Biomarkers in Neuro-Oncology

The field of neuro-oncology is rapidly progressing and internalizing many of the recent discoveries coming from research conducted in basic science laboratories worldwide. This systematic review aims to summarize the impact of nanotechnology and biomedical engineering in defining clinically meaningf...

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Autores principales: Ganau, Mario, Paris, Marco, Syrmos, Nikolaos, Ganau, Laura, Ligarotti, Gianfranco K.I., Moghaddamjou, Ali, Prisco, Lara, Ambu, Rossano, Chibbaro, Salvatore
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874588/
https://www.ncbi.nlm.nih.gov/pubmed/29495368
http://dx.doi.org/10.3390/medicines5010023
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author Ganau, Mario
Paris, Marco
Syrmos, Nikolaos
Ganau, Laura
Ligarotti, Gianfranco K.I.
Moghaddamjou, Ali
Prisco, Lara
Ambu, Rossano
Chibbaro, Salvatore
author_facet Ganau, Mario
Paris, Marco
Syrmos, Nikolaos
Ganau, Laura
Ligarotti, Gianfranco K.I.
Moghaddamjou, Ali
Prisco, Lara
Ambu, Rossano
Chibbaro, Salvatore
author_sort Ganau, Mario
collection PubMed
description The field of neuro-oncology is rapidly progressing and internalizing many of the recent discoveries coming from research conducted in basic science laboratories worldwide. This systematic review aims to summarize the impact of nanotechnology and biomedical engineering in defining clinically meaningful predictive biomarkers with a potential application in the management of patients with brain tumors. Data were collected through a review of the existing English literature performed on Scopus, MEDLINE, MEDLINE in Process, EMBASE, and/or Cochrane Central Register of Controlled Trials: all available basic science and clinical papers relevant to address the above-stated research question were included and analyzed in this study. Based on the results of this systematic review we can conclude that: (1) the advances in nanotechnology and bioengineering are supporting tremendous efforts in optimizing the methods for genomic, epigenomic and proteomic profiling; (2) a successful translational approach is attempting to identify a growing number of biomarkers, some of which appear to be promising candidates in many areas of neuro-oncology; (3) the designing of Randomized Controlled Trials will be warranted to better define the prognostic value of those biomarkers and biosignatures.
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spelling pubmed-58745882018-03-30 How Nanotechnology and Biomedical Engineering Are Supporting the Identification of Predictive Biomarkers in Neuro-Oncology Ganau, Mario Paris, Marco Syrmos, Nikolaos Ganau, Laura Ligarotti, Gianfranco K.I. Moghaddamjou, Ali Prisco, Lara Ambu, Rossano Chibbaro, Salvatore Medicines (Basel) Review The field of neuro-oncology is rapidly progressing and internalizing many of the recent discoveries coming from research conducted in basic science laboratories worldwide. This systematic review aims to summarize the impact of nanotechnology and biomedical engineering in defining clinically meaningful predictive biomarkers with a potential application in the management of patients with brain tumors. Data were collected through a review of the existing English literature performed on Scopus, MEDLINE, MEDLINE in Process, EMBASE, and/or Cochrane Central Register of Controlled Trials: all available basic science and clinical papers relevant to address the above-stated research question were included and analyzed in this study. Based on the results of this systematic review we can conclude that: (1) the advances in nanotechnology and bioengineering are supporting tremendous efforts in optimizing the methods for genomic, epigenomic and proteomic profiling; (2) a successful translational approach is attempting to identify a growing number of biomarkers, some of which appear to be promising candidates in many areas of neuro-oncology; (3) the designing of Randomized Controlled Trials will be warranted to better define the prognostic value of those biomarkers and biosignatures. MDPI 2018-02-26 /pmc/articles/PMC5874588/ /pubmed/29495368 http://dx.doi.org/10.3390/medicines5010023 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Ganau, Mario
Paris, Marco
Syrmos, Nikolaos
Ganau, Laura
Ligarotti, Gianfranco K.I.
Moghaddamjou, Ali
Prisco, Lara
Ambu, Rossano
Chibbaro, Salvatore
How Nanotechnology and Biomedical Engineering Are Supporting the Identification of Predictive Biomarkers in Neuro-Oncology
title How Nanotechnology and Biomedical Engineering Are Supporting the Identification of Predictive Biomarkers in Neuro-Oncology
title_full How Nanotechnology and Biomedical Engineering Are Supporting the Identification of Predictive Biomarkers in Neuro-Oncology
title_fullStr How Nanotechnology and Biomedical Engineering Are Supporting the Identification of Predictive Biomarkers in Neuro-Oncology
title_full_unstemmed How Nanotechnology and Biomedical Engineering Are Supporting the Identification of Predictive Biomarkers in Neuro-Oncology
title_short How Nanotechnology and Biomedical Engineering Are Supporting the Identification of Predictive Biomarkers in Neuro-Oncology
title_sort how nanotechnology and biomedical engineering are supporting the identification of predictive biomarkers in neuro-oncology
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874588/
https://www.ncbi.nlm.nih.gov/pubmed/29495368
http://dx.doi.org/10.3390/medicines5010023
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