Zebrafish Avatar-test predicts patient's tumor response to chemotherapy in breast cancer: a co-clinical study towards personalized medicine
Raquel Valente MendesiD, Joana M. RibeiroiD, Helena S. GouveiaiD, Cátia Rebelo de AlmeidaiD, Mireia Castillo-MartíniD, María José BritoiD, Rita Canas‐MarquesiD, Eva BatistaiD, Celeste AlvesiD, Berta SousaiD, Pedro F GouveiaiD, Miguel Godinho FerreiraiD, Maria João CardosoiD, Fátima CardosoiD, Rita FioriD
Abstract
Chemotherapy remains the mainstay in most high-risk breast cancer (BC) settings, with several equivalent options of treatment. However, the efficacy of each treatment varies between patients and there is currently no test to determine which option will be the most effective for each individual patient. Here, we developed a fast in-vivo test for BC therapy screening: the zebrafish patient derived xenograft model (zAvatars), where in-vivo results can be obtained in just 10 days. To determine the predictive value of the BC zAvatars we performed a clinical study, where zAvatars were treated with the same therapy as the donor-patient and their response to therapy was compared. Our data shows a 100% correlation between patients clinical response to treatment and its matching zAvatar. Altogether, our results suggest that the zAvatar model constitutes a promising in-vivo assay to optimize cancer treatments in truly personalized manner.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 19
- FWCI
- 6.21
- Field percentile
- top 2%
- Organism
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A model of Zebrafish Avatar for co-clinical trials
A. Usai, G. Di Franco, … V. Raffa·bioRxiv·Sep 26, 2019
- Preclinical assessment of CAR-NK cell-mediated killing efficacy and pharmacokinetics in a rapid zebrafish xenograft model of metastatic breast cancer
N. Murali Shankar, P. Ortiz Montero, … J. Eitler·bioRxiv·Jul 11, 2023
- Patient-derived tumor spheroid cultures as a promising tool to assist personalized therapeutic decisions in breast cancer
S. U. Hofmann, R. Cohen-Harazi, … I. Koman·bioRxiv·Jun 26, 2021
- Organoid-evaluable clinical biomarkers predict drug responses and guide new breast cancer therapies
Tam Binh V. Bui, Denise M. Wolf, … Jennifer M. Rosenbluth·bioRxiv·Aug 24, 2025
- An in vivo avian model of human melanoma to perform rapid and robust preclinical studies
L. Jarrosson, S. Dalle, … C. Delloye-Bourgeois·bioRxiv·Oct 12, 2022
- Zebrafish xenografts to isolate unique human breast cancer metastatic cell populations
J. Xiao, J. R. McGill, … S. Agarwal·bioRxiv·Dec 7, 2021