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Patient-derived xenograft models—the future of personalised cancer treatment
For many tumours there is a lack of randomised data from which we can guide systemic treatments. Although gene expression profiling along with proteomics has led to advances in diagnosis, classification and prognosis, our ability to target many cancers has been further limited due to a lack of thera...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7054515/ https://www.ncbi.nlm.nih.gov/pubmed/31919403 http://dx.doi.org/10.1038/s41416-019-0678-0 |
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author | Bhimani, Jenna Ball, Katie Stebbing, Justin |
author_facet | Bhimani, Jenna Ball, Katie Stebbing, Justin |
author_sort | Bhimani, Jenna |
collection | PubMed |
description | For many tumours there is a lack of randomised data from which we can guide systemic treatments. Although gene expression profiling along with proteomics has led to advances in diagnosis, classification and prognosis, our ability to target many cancers has been further limited due to a lack of therapeutic options. The use of patient-derived xenograft (PDX) models in the setting of a rare malignancy is discussed here by Kamili et al, with the successful establishment of new model systems. |
format | Online Article Text |
id | pubmed-7054515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70545152021-01-10 Patient-derived xenograft models—the future of personalised cancer treatment Bhimani, Jenna Ball, Katie Stebbing, Justin Br J Cancer Editorial For many tumours there is a lack of randomised data from which we can guide systemic treatments. Although gene expression profiling along with proteomics has led to advances in diagnosis, classification and prognosis, our ability to target many cancers has been further limited due to a lack of therapeutic options. The use of patient-derived xenograft (PDX) models in the setting of a rare malignancy is discussed here by Kamili et al, with the successful establishment of new model systems. Nature Publishing Group UK 2020-01-10 2020-03-03 /pmc/articles/PMC7054515/ /pubmed/31919403 http://dx.doi.org/10.1038/s41416-019-0678-0 Text en © Cancer Research UK 2020 https://creativecommons.org/licenses/by/4.0/Note: This work is published under the standard license to publish agreement. After 12 months the work will become freely available and the license terms will switch to a Creative Commons Attribution 4.0 International (CC BY 4.0). |
spellingShingle | Editorial Bhimani, Jenna Ball, Katie Stebbing, Justin Patient-derived xenograft models—the future of personalised cancer treatment |
title | Patient-derived xenograft models—the future of personalised cancer treatment |
title_full | Patient-derived xenograft models—the future of personalised cancer treatment |
title_fullStr | Patient-derived xenograft models—the future of personalised cancer treatment |
title_full_unstemmed | Patient-derived xenograft models—the future of personalised cancer treatment |
title_short | Patient-derived xenograft models—the future of personalised cancer treatment |
title_sort | patient-derived xenograft models—the future of personalised cancer treatment |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7054515/ https://www.ncbi.nlm.nih.gov/pubmed/31919403 http://dx.doi.org/10.1038/s41416-019-0678-0 |
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