Details

Autor(en) / Beteiligte

• Al-Hamaly, Majd A
• Turner, Logan T
• Rivera-Martinez, Angelica
• Rodriguez, Analiz
• Blackburn, Jessica S

Titel

Zebrafish Cancer Avatars: A Translational Platform for Analyzing Tumor Heterogeneity and Predicting Patient Outcomes

Ist Teil von

• International journal of molecular sciences, 2023-01, Vol.24 (3), p.2288

Ort / Verlag

Switzerland: MDPI AG

Erscheinungsjahr

2023

Quelle

MEDLINE

Beschreibungen/Notizen

• The increasing number of available anti-cancer drugs presents a challenge for oncologists, who must choose the most effective treatment for the patient. Precision cancer medicine relies on matching a drug with a tumor's molecular profile to optimize the therapeutic benefit. However, current precision medicine approaches do not fully account for intra-tumoral heterogeneity. Different mutation profiles and cell behaviors within a single heterogeneous tumor can significantly impact therapy response and patient outcomes. Patient-derived avatar models recapitulate a patient's tumor in an animal or dish and provide the means to functionally assess heterogeneity's impact on drug response. Mouse xenograft and organoid avatars are well-established, but the time required to generate these models is not practical for clinical decision-making. Zebrafish are emerging as a time-efficient and cost-effective cancer avatar model. In this review, we highlight recent developments in zebrafish cancer avatar models and discuss the unique features of zebrafish that make them ideal for the interrogation of cancer heterogeneity and as part of precision cancer medicine pipelines.