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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9695811 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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