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Establishment of patient-derived organotypic tumor spheroid models for tumor microenvironment modeling

Cited 14 time in Web of Science Cited 15 time in Scopus
Authors

Hong, Hye Kyung; Yun, Nak Hyeon; Jeong, Ye-Lin; Park, Jeehun; Doh, Junsang; Lee, Woo Yong; Cho, Yong Beom

Issue Date
2021-08
Publisher
John Wiley and Sons Ltd
Citation
Cancer Medicine, Vol.10 No.16, pp.5589-5598
Abstract
Patient-derived cancer models that reconstitute the characteristics of the tumor microenvironment may facilitate efforts in precision immune-oncology and the discovery of effective anticancer therapies. Organoids that have recently emerged as robust preclinical models typically contain tumor epithelial cells and lack the native tumor immune microenvironment. A patient-derived organotypic tumor spheroid (PDOTS) is a novel and innovative ex vivo system that retains key features of the native tumor immune microenvironment. Here, we established and characterized a series of colorectal cancer PDOTS models for use as a preclinical platform for testing effective immunotherapy and its combinations with other drugs. Partially dissociated (> 100 mu m in diameter) tumor tissues were embedded in Matrigel-containing organoid media and subsequently formed into organoid structures within 3 to 7 days of culture. The success rate of growing PDOTS from fresh tissues was similar to 86%. Morphological analysis showed that the PDOTSs varied in size and structure. Immunofluorescence and flow cytometry analysis revealed that the PDOTSs retained autologous tumor-infiltrating lymphoid cells and tumor-infiltrating lymphoid cells were continually decreased through serial passages. Notably, PDOTSs from tumors from a high-level microsatellite instability-harboring patient were sensitive to anti-PD-1 or anti-PD-L1 antibodies. Our results demonstrate that the PDOTS model in which the tumor immune microenvironment is preserved may represent an advantageous ex vivo system to develop effective immune therapeutics.
ISSN
2045-7634
URI
https://hdl.handle.net/10371/202455
DOI
https://doi.org/10.1002/cam4.4114
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  • College of Engineering
  • Department of Materials Science & Engineering
Research Area Ex Vivo Models, Lymphocyte Biology, Smart Biomaterials

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