Humanized avian embryo models replicate an immune tumor environment for rapid immunotherapy studies.
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TL;DR
It is demonstrated that the humanized AVI technology recapitulates an immune microenvironment, enables the rapid screening of immune-based therapeutic strategies and supports patient response stratification for biomarker discovery.
OpenAlex 토픽 ·
Animal Genetics and Reproduction
Zebrafish Biomedical Research Applications
Renal and related cancers
It is demonstrated that the humanized AVI technology recapitulates an immune microenvironment, enables the rapid screening of immune-based therapeutic strategies and supports patient response stratifi
APA
Marjorie Lacourrège, Loraine Jarrosson, et al. (2026). Humanized avian embryo models replicate an immune tumor environment for rapid immunotherapy studies.. EMBO molecular medicine, 18(4), 1399-1428. https://doi.org/10.1038/s44321-026-00398-5
MLA
Marjorie Lacourrège, et al.. "Humanized avian embryo models replicate an immune tumor environment for rapid immunotherapy studies.." EMBO molecular medicine, vol. 18, no. 4, 2026, pp. 1399-1428.
PMID
41857452 ↗
Abstract 한글 요약
Re-arming the immune system to fight cancer holds significant promise. However, models enabling the rapid and reliable evaluation of immunotherapies on patient tumors are still lacking. Here, we report a humanized version of the avian model for cell and patient-derived xenograft models, which involves the creation of miniature replicas of patient and cell line-derived tumors in avian embryo tissues. Leveraging this unique technology, we developed two approaches: co-micro-implantation of human PBMCs and cancer cells or implantation of cancer cells followed by the intravenous injection of human PBMCs. By combining whole-embryo light sheet microscopy, analysis of immune cell molecular markers and evaluation of anti-PD-1 therapy in solid tumor models, we demonstrate that the humanized AVI technology recapitulates an immune microenvironment, enables the rapid screening of immune-based therapeutic strategies and supports patient response stratification for biomarker discovery.
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