Animal "avatars" and co-clinical trials are being developed for possible use in personalized medicine in oncology. In a co-clinical trial, the cancer cells of the patient's tumor are xenotransplanted into the animal avatar for drug efficacy studies, and the data collected in the animal trial are used to plan the best drug treatment in the patient trial. Zebrafish have recently been proposed for implementing avatar models, however the lack of a general criterion for the chemotherapy dose conversion from humans to fish is a limitation in terms of conducting co-clinical trials. Here, we validate a simple, reliant and cost-effective avatar model based on the use of zebrafish embryos. By crossing data from safety and efficacy studies, we found a basic formula for estimating the equivalent dose for use in co-clinical trials which we validated in a clinical study enrolling 24 adult patients with solid cancers (XenoZ, NCT03668418).

A Model of a Zebrafish Avatar for Co-Clinical Trials

Usai Alice
Co-primo
;
Colucci Patrizia;Palmeri Matteo;Dente Luciana;Morelli Luca
Penultimo
;
Raffa Vittoria
Ultimo
2020-01-01

Abstract

Animal "avatars" and co-clinical trials are being developed for possible use in personalized medicine in oncology. In a co-clinical trial, the cancer cells of the patient's tumor are xenotransplanted into the animal avatar for drug efficacy studies, and the data collected in the animal trial are used to plan the best drug treatment in the patient trial. Zebrafish have recently been proposed for implementing avatar models, however the lack of a general criterion for the chemotherapy dose conversion from humans to fish is a limitation in terms of conducting co-clinical trials. Here, we validate a simple, reliant and cost-effective avatar model based on the use of zebrafish embryos. By crossing data from safety and efficacy studies, we found a basic formula for estimating the equivalent dose for use in co-clinical trials which we validated in a clinical study enrolling 24 adult patients with solid cancers (XenoZ, NCT03668418).
2020
Usai, Alice; Di Franco, Gregorio; Colucci, Patrizia; Pollina Luca, Emanuele; Vasile, Enrico; Funel, Niccola; Palmeri, Matteo; Dente, Luciana; Falcone, Alfredo; Morelli, Luca; Raffa, Vittoria
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1037179
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