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Patient-derived xenografts: a relevant preclinical model for drug development

Identifying appropriate preclinical cancer models remains a major challenge in increasing the efficiency of drug development. A potential strategy to improve patient outcomes could be selecting the ‘right’ treatment in preclinical studies performed in patient-derived xenografts (PDXs) obtained by di...

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Autores principales: Pompili, Luca, Porru, Manuela, Caruso, Carla, Biroccio, Annamaria, Leonetti, Carlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5139018/
https://www.ncbi.nlm.nih.gov/pubmed/27919280
http://dx.doi.org/10.1186/s13046-016-0462-4
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author Pompili, Luca
Porru, Manuela
Caruso, Carla
Biroccio, Annamaria
Leonetti, Carlo
author_facet Pompili, Luca
Porru, Manuela
Caruso, Carla
Biroccio, Annamaria
Leonetti, Carlo
author_sort Pompili, Luca
collection PubMed
description Identifying appropriate preclinical cancer models remains a major challenge in increasing the efficiency of drug development. A potential strategy to improve patient outcomes could be selecting the ‘right’ treatment in preclinical studies performed in patient-derived xenografts (PDXs) obtained by direct implants of surgically resected tumours in mice. These models maintain morphological similarities and recapitulate molecular profiling of the original tumours, thus representing a useful tool in evaluating anticancer drug response. In this review, we will present the state-of-art use of PDXs as a reliable strategy to predict clinical findings. The main advantages and limitations will also be discussed.
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spelling pubmed-51390182016-12-15 Patient-derived xenografts: a relevant preclinical model for drug development Pompili, Luca Porru, Manuela Caruso, Carla Biroccio, Annamaria Leonetti, Carlo J Exp Clin Cancer Res Review Identifying appropriate preclinical cancer models remains a major challenge in increasing the efficiency of drug development. A potential strategy to improve patient outcomes could be selecting the ‘right’ treatment in preclinical studies performed in patient-derived xenografts (PDXs) obtained by direct implants of surgically resected tumours in mice. These models maintain morphological similarities and recapitulate molecular profiling of the original tumours, thus representing a useful tool in evaluating anticancer drug response. In this review, we will present the state-of-art use of PDXs as a reliable strategy to predict clinical findings. The main advantages and limitations will also be discussed. BioMed Central 2016-12-05 /pmc/articles/PMC5139018/ /pubmed/27919280 http://dx.doi.org/10.1186/s13046-016-0462-4 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Pompili, Luca
Porru, Manuela
Caruso, Carla
Biroccio, Annamaria
Leonetti, Carlo
Patient-derived xenografts: a relevant preclinical model for drug development
title Patient-derived xenografts: a relevant preclinical model for drug development
title_full Patient-derived xenografts: a relevant preclinical model for drug development
title_fullStr Patient-derived xenografts: a relevant preclinical model for drug development
title_full_unstemmed Patient-derived xenografts: a relevant preclinical model for drug development
title_short Patient-derived xenografts: a relevant preclinical model for drug development
title_sort patient-derived xenografts: a relevant preclinical model for drug development
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5139018/
https://www.ncbi.nlm.nih.gov/pubmed/27919280
http://dx.doi.org/10.1186/s13046-016-0462-4
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