Cancer modeling meets human organoid technology

Моделирование рака и технология человеческих органоидов
David A. Tuveson, Hans Clevers
2019-06-06

CRISPR-based gene modificationcancer microenvironmentcancer organoidshuman organoid technologypersonalized drug response
Organoids are microscopic self-organizing, three-dimensional structures that are grown from stem cells in vitro. They recapitulate many structural and functional aspects of their in vivo counterpart organs. This versatile technology has led to the development of many novel human cancer models. It is now possible to create indefinitely expanding organoids starting from tumor tissue of individuals suffering from a range of carcinomas. Alternatively, CRISPR-based gene modification allows the engineering of organoid models of cancer through the introduction of any combination of cancer gene alterations to normal organoids. When combined with immune cells and fibroblasts, tumor organoids become models for the cancer microenvironment enabling immune-oncology applications. Emerging evidence indicates that organoids can be used to accurately predict drug responses in a personalized treatment setting. Here, we review the current state and future prospects of the rapidly evolving tumor organoid field.
1
CRISPR-based gene editing enables engineering cancer organoids from normal organoids by introducing defined combinations of cancer-associated alterations.
2
Combining tumor organoids with immune cells and fibroblasts models the tumor microenvironment and supports immuno-oncology applications.
3
Emerging evidence suggests organoids can accurately predict individual patient drug responses, supporting personalized cancer treatment.
4
Human organoids recapitulate many structural and functional features of their corresponding organs, enabling versatile in vitro cancer modeling.
5
Tumor-derived organoids can be generated from patients with diverse carcinomas and expanded indefinitely for research and translational applications.

human tumor organoids as in vitro cancer models

their applications and prospects for modeling cancer biology, the tumor microenvironment, and personalized drug responses

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2019-06-06
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David A. Tuveson
Hans Clevers
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