Cancer continues to pose a major therapeutic challenge, as for some common solid cancers, the prospects of cure remains remote, whilst their incidence remains high. In this project, we will validate the use of zebrafish embryos for cost/ethical sustainable co-clinical trial. This should allow to identify the best personalised therapeutic regimen as well as to reduce costs and toxicity associated to non personalised approaches. Such a bench-to-bedside transition will facilitate a long term robust strategy that is economically feasible and clinically effective to manage cancer.


Prof Luca Morelli, UNIPI

Dr Enrico Vasile, AOUP

Dr Luca Pollina, AOUP

Dr Francesco Tantussi, IIT


Di Franco, G., Usai, A., Piccardi, M., Cateni, P., Palmeri, M., Pollina, L.E., Gaeta, R., Marmorino, F., Cremolini, C., Dente, L., Massolo, A., Raffa, V., Morelli, L. Zebrafish Patient-Derived Xenograft Model to Predict Treatment Outcomes of Colorectal Cancer Patients (2022) Biomedicines, 10 (7), art. no. 1474, DOI: 10.3390/biomedicines10071474

Usai, A., Di Franco, G., Piccardi, M., Cateni, P., Pollina, L.E., Vivaldi, C., Vasile, E., Funel, N., Palmeri, M., Dente, L., Falcone, A., Giunchi, D., Massolo, A., Morelli, L., Raffa, V. Zebrafish patient-derived xenografts identify chemo-response in pancreatic ductal adenocarcinoma patients (2021) Cancers, 13 (16), art. no. 4131, DOI: 10.3390/cancers13164131

Usai, A., Di Franco, G., Colucci, P., Pollina, L.E., Vasile, E., Funel, N., Palmeri, M., Dente, L., Falcone, A., Morelli, L., Raffa, V. A model of a zebrafish avatar for co-clinical trials (2020) Cancers, 12 (3), art. no. 677, DOI: 10.3390/cancers12030677

Di Franco, G., Usai, A., Funel, N., Palmeri, M., Rosamaria Montesanti, I.E., Bianchini, M., Gianardi, D., Furbetta, N., Guadagni, S., Vasile, E., Falcone, A., Pollina, L.E., Raffa, V., Morelli, L. Use of zebrafish embryos as avatar of patients with pancreatic cancer: A new xenotransplantation model towards personalized medicine. (2020) World Journal of Gastroenterology, 26 (21), pp. 2792-2809. DOI: 10.3748/wjg.v26.i21.2792

Università di Pisa
Lungarno Pacinotti 43, 56126 Pisa
P.I. 00286820501
C.F. 80003670504

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SIA - Sistema Informatico di Ateneo

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