Patient-Derived Organoids for In Vivo Validation of In Vitro Data
- PMID: 36255621
- DOI: 10.1007/978-1-0716-2788-4_8
Patient-Derived Organoids for In Vivo Validation of In Vitro Data
Abstract
Patient-derived organoids are promising tumor models for functional validation of next-generation sequencing-based therapy recommendations. In times of rapidly advancing precision oncology approaches in everyday clinical processes, reliable and valid tumor models are required. Tumor organoids consist of tumor "stem" cells, differentiated (epithelial) tumor, and stroma cells. The cellular architecture and interactions closely mimic the original patient tumor. These organoids can be implanted into immunodeficient mice, generating patient-derived organoid-derived xenografts, thus enabling in vitro to in vivo transfer. Most importantly, the high clinical relevance of PDO models is maintained in this conversion. This protocol describes in detail the methods and techniques as well as the materials necessary to generate in vitro PDO and in vivo PDO-derived xenograft models. The elaborate process description starts with the processing of freshly obtained tumor tissue. The proceedings include tissue processing, organoid culturing, PDO implantation into immunodeficient mice, tumor explantation, and finally tumor preservation. All these proceedings are described in this timely chronological order. This protocol will enable researchers to generate PDO models from freshly received tumor tissue and generate PDO-derived xenografts. Models generated according to these methods are suitable for a very broad research spectrum.
Keywords: 3D tumor models; In vitro models; In vivo models; Patient-derived organoids; Tumor microenvironment.
© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.
References
-
- International Agency for Research on Cancer Cancer Today. https://gco.iarc.fr/today/home
-
- Ewing I, Hurley JJ, Josephides E et al (2014) The molecular genetics of colorectal cancer. Frontline Gastroenterol 5:26–30. https://doi.org/10.1136/flgastro-2013100329 - DOI - PubMed
-
- Sideris M, Papagrigoriadis S (2014) Molecular biomarkers and classification models in the evaluation of the prognosis of colorectal cancer. Anticancer Res 34:2061–2068 - PubMed
-
- Kekelidze M, D’Errico L, Pansini M et al (2013) Colorectal cancer: current imaging methods and future perspectives for the diagnosis, staging and therapeutic response evaluation. World J Gastroenterol 19:8502–8514. https://doi.org/10.3748/wjg.v19.i46.8502 - DOI - PubMed - PMC
-
- Colussi D, Brandi G, Bazzoli F et al (2013) Molecular pathways involved in colorectal cancer: implications for disease behavior and prevention. Int J Mol Sci 14:16365–16385. https://doi.org/10.3390/ijms140816365 - DOI - PubMed - PMC
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