In ovarian cancer, 80% of patients relapse after first-line therapy. In recurrent cases, oncologists lack reliable tests to guide chemotherapy choices, creating an unmet clinical need. Here, we develop the ovarian cancer zebrafish Avatar-test, a functional in vivo model using patient tumor cells implanted in zebrafish embryos to predict treatment responses. We present the largest observational study (32 patients), where the zAvatar-test achieves 91% accuracy in predicting patient outcomes. Patients with a zAvatar-sensitive-test correlate with longer progression-free survival (17 vs. 6 months). Tumors in zAvatars are dynamic, with human-host cell interactions, and higher metastatic potential in poor-prognosis cases. Finally, as a proof of concept, we demonstrate that venetoclax has the potential to sensitize multidrug-resistant tumors. Altogether, this clinical study demonstrates that the zAvatar-test may help clinicians personalize treatments for ovarian cancer patients. We are now conducting a multicentric randomized clinical trial to evaluate the zAvatar-test as a companion tool in clinical oncology.
zAvatar-test-A functional precision model to personalize ovarian cancer treatments: Results from a co-clinical study.
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作者:Estrada Marta F, Amorim Filipa, Ferreira da Silva Filipa, Rebelo de Almeida Cátia, Fontes Márcia, Coelho Ricardo, Ferreira Sónia, Canas-Marques Rita, Castillo-Martin Mireia, Casanova João, Batarda Maria de Lurdes, Yaniz-Galende Elisa, LeFormal Audrey, Marreiros Ana, Jacob Francis, Heinzelmann-Schwarz Viola, Leary Alexandra, Nabais Henrique, Fior Rita
| 期刊: | Cell Reports Medicine | 影响因子: | 10.600 |
| 时间: | 2026 | 起止号: | 2026 Jan 20; 7(1):102530 |
| doi: | 10.1016/j.xcrm.2025.102530 | ||
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