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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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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1724570343633321984 |