Advancing preclinical cancer models to assess clinically relevant outcomes

Cancer models are indispensable research tools for elucidating the mechanisms involved in tumor onset, progression and treatment resistance. They are key in evaluating therapeutics prior clinical trials. In this editorial, we invite contributions for a BMC Cancer’s Collection of articles addressing...

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Detalles Bibliográficos
Autores principales: Golebiewska, Anna, Fields, Ryan C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Editorial
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007806/
https://www.ncbi.nlm.nih.gov/pubmed/36899363
http://dx.doi.org/10.1186/s12885-023-10715-7
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author Golebiewska, Anna
Fields, Ryan C.
author_facet Golebiewska, Anna
Fields, Ryan C.
author_sort Golebiewska, Anna
collection PubMed
description Cancer models are indispensable research tools for elucidating the mechanisms involved in tumor onset, progression and treatment resistance. They are key in evaluating therapeutics prior clinical trials. In this editorial, we invite contributions for a BMC Cancer’s Collection of articles addressing ‘Advances in pre-clinical cancer models’ towards relivable outcomes at the preclinical stage.
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spelling pubmed-100078062023-03-12 Advancing preclinical cancer models to assess clinically relevant outcomes Golebiewska, Anna Fields, Ryan C. BMC Cancer Editorial Cancer models are indispensable research tools for elucidating the mechanisms involved in tumor onset, progression and treatment resistance. They are key in evaluating therapeutics prior clinical trials. In this editorial, we invite contributions for a BMC Cancer’s Collection of articles addressing ‘Advances in pre-clinical cancer models’ towards relivable outcomes at the preclinical stage. BioMed Central 2023-03-10 /pmc/articles/PMC10007806/ /pubmed/36899363 http://dx.doi.org/10.1186/s12885-023-10715-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Editorial
Golebiewska, Anna
Fields, Ryan C.
Advancing preclinical cancer models to assess clinically relevant outcomes
title Advancing preclinical cancer models to assess clinically relevant outcomes
title_full Advancing preclinical cancer models to assess clinically relevant outcomes
title_fullStr Advancing preclinical cancer models to assess clinically relevant outcomes
title_full_unstemmed Advancing preclinical cancer models to assess clinically relevant outcomes
title_short Advancing preclinical cancer models to assess clinically relevant outcomes
title_sort advancing preclinical cancer models to assess clinically relevant outcomes
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007806/
https://www.ncbi.nlm.nih.gov/pubmed/36899363
http://dx.doi.org/10.1186/s12885-023-10715-7
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