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Will Organoids Fill the Gap towards Functional Precision Medicine?

Precision medicine approaches for solid tumors are mainly based on genomics. Its employment in clinical trials has led to somewhat underwhelming results, except for single responses. Moreover, several factors can influence the response, such as gene and protein expression, the coexistence of differe...

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Detalles Bibliográficos
Autores principales: Papaccio, Federica, Cabeza-Segura, Manuel, Garcia-Micò, Blanca, Tarazona, Noelia, Roda, Desamparados, Castillo, Josefa, Cervantes, Andres
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695811/
https://www.ncbi.nlm.nih.gov/pubmed/36422115
http://dx.doi.org/10.3390/jpm12111939
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author Papaccio, Federica
Cabeza-Segura, Manuel
Garcia-Micò, Blanca
Tarazona, Noelia
Roda, Desamparados
Castillo, Josefa
Cervantes, Andres
author_facet Papaccio, Federica
Cabeza-Segura, Manuel
Garcia-Micò, Blanca
Tarazona, Noelia
Roda, Desamparados
Castillo, Josefa
Cervantes, Andres
author_sort Papaccio, Federica
collection PubMed
description Precision medicine approaches for solid tumors are mainly based on genomics. Its employment in clinical trials has led to somewhat underwhelming results, except for single responses. Moreover, several factors can influence the response, such as gene and protein expression, the coexistence of different genomic alterations or post-transcriptional/translational modifications, the impact of tumor microenvironment, etc., therefore making it insufficient to employ a genomics-only approach to predict response. Recently, the implementation of patient-derived organoids has shed light on the possibility to use them to predict patient response to drug treatment. This could offer for the first time the possibility to move precision medicine to a functional environment.
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spelling pubmed-96958112022-11-26 Will Organoids Fill the Gap towards Functional Precision Medicine? Papaccio, Federica Cabeza-Segura, Manuel Garcia-Micò, Blanca Tarazona, Noelia Roda, Desamparados Castillo, Josefa Cervantes, Andres J Pers Med Opinion Precision medicine approaches for solid tumors are mainly based on genomics. Its employment in clinical trials has led to somewhat underwhelming results, except for single responses. Moreover, several factors can influence the response, such as gene and protein expression, the coexistence of different genomic alterations or post-transcriptional/translational modifications, the impact of tumor microenvironment, etc., therefore making it insufficient to employ a genomics-only approach to predict response. Recently, the implementation of patient-derived organoids has shed light on the possibility to use them to predict patient response to drug treatment. This could offer for the first time the possibility to move precision medicine to a functional environment. MDPI 2022-11-21 /pmc/articles/PMC9695811/ /pubmed/36422115 http://dx.doi.org/10.3390/jpm12111939 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Opinion
Papaccio, Federica
Cabeza-Segura, Manuel
Garcia-Micò, Blanca
Tarazona, Noelia
Roda, Desamparados
Castillo, Josefa
Cervantes, Andres
Will Organoids Fill the Gap towards Functional Precision Medicine?
title Will Organoids Fill the Gap towards Functional Precision Medicine?
title_full Will Organoids Fill the Gap towards Functional Precision Medicine?
title_fullStr Will Organoids Fill the Gap towards Functional Precision Medicine?
title_full_unstemmed Will Organoids Fill the Gap towards Functional Precision Medicine?
title_short Will Organoids Fill the Gap towards Functional Precision Medicine?
title_sort will organoids fill the gap towards functional precision medicine?
topic Opinion
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695811/
https://www.ncbi.nlm.nih.gov/pubmed/36422115
http://dx.doi.org/10.3390/jpm12111939
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