ArticleNPJ precision oncology2024
Zebrafish tumour xenograft models: a prognostic approach to epithelial ovarian cancer.
Article in NPJ precision oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- Zebrafish xenograft models as a fast platform for metastasis diagnosis and cisplatin response of head and neck squamous cell carcinoma.Animal models and experimental medicine · 2026Article
- Toxicological profiling of clinically used chemotherapeutics in zebrafishJournal of medicine and life · 2026Article
- Beyond the mouse: 3R-guided alternative animal models transforming cancer research.Molecular cancer · 2026Review
- zAvatar-test-A functional precision model to personalize ovarian cancer treatments: Results from a co-clinical study.Cell reports. Medicine · 2026Article
- Assessing Perfluorooctane Sulfonate (PFOS) Toxicity and Carcinogenicity Through Zebrafish (Toxics · 2025Article
- Narrative Review of Patient Cancer Tissue-Derived Zebrafish Xenograft Models for Evaluating Drug Sensitivity as an Avatar Model for Clinical Application.Cancer medicine · 2025Review
- TIMP1 Overexpression in Ovarian Cancer Spheroids: Implications for Prognosis, Resistance, and Metastatic Potential.Cancers · 2025Article
- Automated microinjection for zebrafish xenograft models.npj biomedical innovations · 2025Article
- PDX models for functional precision oncology and discovery science.Nature reviews. Cancer · 2025Review
- Zebrafish Avatars: Toward Functional Precision Medicine in Low-Grade Serous Ovarian Cancer.Cancers · 2024Article
- A zebrafish colorectal xenograft model for chemotherapy response.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologieArticle
Corrections and comments
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Authors and funding
15 authors at 1 institution in 1 country.
Funding
Abstract
Epithelial ovarian cancer (EOC) is the gynaecological malignancy with highest mortality. Although adjuvant treatment with carboplatin and paclitaxel leads to an objective response in ~80% of these patients, a majority will relapse within two years. Better methods for assessing long-term treatment outcomes are needed. To address this, we established safe and efficacious doses of carboplatin and paclitaxel using IGROV-1 zebrafish-CDX models. Then fluorescently-labelled cell suspensions from 83 tumour biopsies collected at exploratory laparotomy of women with suspected EOC were generated and 37 (45%) were successfully implanted in zebrafish larvae. Among these 19 of 27 pathology-confirmed EOC samples (70%) engrafted. These zebrafish patient-derived tumour xenograft (ZTX) models were treated with carboplatin or paclitaxel and tumour growth/regression and metastatic dissemination were recorded. In a subgroup of nine patients, four ZTX models regressed during carboplatin treatment. All four corresponding patients had >24 months PFS. Furthermore, both ZTX models established from two patients having <24 months PFS failed to regress during carboplatin treatment. Seven of eight models seeding <6 metastatic cells were established from patients having >24 months PFS. In eleven of fourteen patients, FIGO stage I + II or III tumours gave rise to ZTX models seeding <4 or >4 metastatic cells, respectively. In conclusion, ZTX models predicted patients having >24 or <24 months PFS, based on response/no response to carboplatin. Furthermore, high metastatic dissemination in ZTX models correlated to shorter PFS and more advanced disease at diagnosis. These preliminary results suggest that ZTX models could become a useful prognostic tool in EOC treatment planning.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.