Zebrafish Avatar testing preclinical study predicts chemotherapy response in breast cancer.

斑马鱼虚拟模型测试的临床前研究预测乳腺癌化疗反应

阅读:5
作者:Mendes Raquel V, Ribeiro Joana M, Gouveia Helena, Rebelo de Almeida Cátia, Castillo-Martin Mireia, Brito Maria José, Canas-Marques Rita, Batista Eva, Alves Celeste, Sousa Berta, Gouveia Pedro, Ferreira Miguel Godinho, Cardoso Maria João, Cardoso Fatima, Fior Rita
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 preclinical study, where zAvatars were treated with the same therapy as the donor-patient and their response to therapy was compared. Our data show a 100% concordance (18 out of 18) between the zAvatar-test and the corresponding patient's clinical response to treatment. Altogether, our results suggest that the zAvatar model constitutes a promising in-vivo assay to optimize cancer treatments in a truly personalized manner.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。