Zebrafish Avatars towards Personalized Medicine—A Comparative Review between Avatar Models

Cancer frequency and prevalence have been increasing in the past decades, with devastating impacts on patients and their families. Despite the great advances in targeted approaches, there is still a lack of methods to predict individual patient responses, and therefore treatments are tailored accord...

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Main Authors: Bruna Costa, Marta F. Estrada, Raquel V. Mendes, Rita Fior
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Cells
Subjects:
pdx
Online Access:https://www.mdpi.com/2073-4409/9/2/293
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spelling doaj-8ccd6bea61ef4f9f9ed758600e8482b02020-11-25T03:32:00ZengMDPI AGCells2073-44092020-01-019229310.3390/cells9020293cells9020293Zebrafish Avatars towards Personalized Medicine—A Comparative Review between Avatar ModelsBruna Costa0Marta F. Estrada1Raquel V. Mendes2Rita Fior3Champalimaud Centre for the Unknown, Champalimaud Foundation, 1400-038 Lisbon, PortugalChampalimaud Centre for the Unknown, Champalimaud Foundation, 1400-038 Lisbon, PortugalChampalimaud Centre for the Unknown, Champalimaud Foundation, 1400-038 Lisbon, PortugalChampalimaud Centre for the Unknown, Champalimaud Foundation, 1400-038 Lisbon, PortugalCancer frequency and prevalence have been increasing in the past decades, with devastating impacts on patients and their families. Despite the great advances in targeted approaches, there is still a lack of methods to predict individual patient responses, and therefore treatments are tailored according to average response rates. “Omics” approaches are used for patient stratification and choice of therapeutic options towards a more precise medicine. These methods, however, do not consider all genetic and non-genetic dynamic interactions that occur upon drug treatment. Therefore, the need to directly challenge patient cells in a personalized manner remains. The present review addresses the state of the art of patient-derived in vitro and in vivo models, from organoids to mouse and zebrafish Avatars. The predictive power of each model based on the retrospective correlation with the patient clinical outcome will be considered. Finally, the review is focused on the emerging zebrafish Avatars and their unique characteristics allowing a fast analysis of local and systemic effects of drug treatments at the single-cell level. We also address the technical challenges that the field has yet to overcome.https://www.mdpi.com/2073-4409/9/2/293cancerzebrafishavatarstumor microenvironmentpdxpersonalized medicine
collection DOAJ
language English
format Article
sources DOAJ
author Bruna Costa
Marta F. Estrada
Raquel V. Mendes
Rita Fior
spellingShingle Bruna Costa
Marta F. Estrada
Raquel V. Mendes
Rita Fior
Zebrafish Avatars towards Personalized Medicine—A Comparative Review between Avatar Models
Cells
cancer
zebrafish
avatars
tumor microenvironment
pdx
personalized medicine
author_facet Bruna Costa
Marta F. Estrada
Raquel V. Mendes
Rita Fior
author_sort Bruna Costa
title Zebrafish Avatars towards Personalized Medicine—A Comparative Review between Avatar Models
title_short Zebrafish Avatars towards Personalized Medicine—A Comparative Review between Avatar Models
title_full Zebrafish Avatars towards Personalized Medicine—A Comparative Review between Avatar Models
title_fullStr Zebrafish Avatars towards Personalized Medicine—A Comparative Review between Avatar Models
title_full_unstemmed Zebrafish Avatars towards Personalized Medicine—A Comparative Review between Avatar Models
title_sort zebrafish avatars towards personalized medicine—a comparative review between avatar models
publisher MDPI AG
series Cells
issn 2073-4409
publishDate 2020-01-01
description Cancer frequency and prevalence have been increasing in the past decades, with devastating impacts on patients and their families. Despite the great advances in targeted approaches, there is still a lack of methods to predict individual patient responses, and therefore treatments are tailored according to average response rates. “Omics” approaches are used for patient stratification and choice of therapeutic options towards a more precise medicine. These methods, however, do not consider all genetic and non-genetic dynamic interactions that occur upon drug treatment. Therefore, the need to directly challenge patient cells in a personalized manner remains. The present review addresses the state of the art of patient-derived in vitro and in vivo models, from organoids to mouse and zebrafish Avatars. The predictive power of each model based on the retrospective correlation with the patient clinical outcome will be considered. Finally, the review is focused on the emerging zebrafish Avatars and their unique characteristics allowing a fast analysis of local and systemic effects of drug treatments at the single-cell level. We also address the technical challenges that the field has yet to overcome.
topic cancer
zebrafish
avatars
tumor microenvironment
pdx
personalized medicine
url https://www.mdpi.com/2073-4409/9/2/293
work_keys_str_mv AT brunacosta zebrafishavatarstowardspersonalizedmedicineacomparativereviewbetweenavatarmodels
AT martafestrada zebrafishavatarstowardspersonalizedmedicineacomparativereviewbetweenavatarmodels
AT raquelvmendes zebrafishavatarstowardspersonalizedmedicineacomparativereviewbetweenavatarmodels
AT ritafior zebrafishavatarstowardspersonalizedmedicineacomparativereviewbetweenavatarmodels
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