Patient-derived organoids as a model to study tubo-ovarian carcinoma: a pathologist’s perspective

This study highlights the need for a multidisciplinary collaboration in both clinical and research settings to establish patient-derived organoids. It emphasises the pivotal contribution of pathologists in meticulous sampling and organoid characterisation. The integration of diverse expertise is essential for maximising the potential of organoids as preclinical tools, advancing our understanding of tubo-ovarian carcinoma, and ultimately improving patient outcomes.

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Publication Details

Journal
Journal of Ovarian Research
Published
2025-08-20
DOI
https://doi.org/10.1186/s13048-025-01766-4
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Patient-derived organoids as a model to study tubo-ovarian carcinoma: a pathologist’s perspective

Catarina Alves‐Vale, Paula Borralho, João Paulo S. Fernandes, Beatriz Galvão et al.
Journal of Ovarian Research
Ovarian cancer diagnosis and treatment
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Patient-derived organoids as a model to study tubo-ovarian carcinoma: a pathologist’s perspective

Catarina Alves‐Vale, Paula Borralho, João Paulo S. Fernandes, Beatriz Galvão, Ana Rita Silvestre, Maria Carmo‐Fonseca, Noélia Custódio, Bei Li, José Silva Pereira
article en

Abstract

This study highlights the need for a multidisciplinary collaboration in both clinical and research settings to establish patient-derived organoids. It emphasises the pivotal contribution of pathologists in meticulous sampling and organoid characterisation. The integration of diverse expertise is essential for maximising the potential of organoids as preclinical tools, advancing our understanding of tubo-ovarian carcinoma, and ultimately improving patient outcomes.

Journal of Ovarian ResearchVol. 18(1)
University of Lisbon (PT), Companhia União Fabril (PT), Hospital de Egas Moniz (PT), Angiologica (Italy) (IT)
AstraZeneca, Gilead Sciences, Universidade de Lisboa, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 71%
Ovarian cancer diagnosis and treatment
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