Journal
FRONTIERS IN ENDOCRINOLOGY
Volume 14, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fendo.2023.1140888
Keywords
papillary thyroid cancer; organoid; 3D culture; clinical specimens; histological characterization; gene expression; preclinical model
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Papillary thyroid cancer (PTC) is a common malignancy with increasing morbidity and mortality. Traditional culture methods lack tissue structure and fail to reflect tumor heterogeneity. Mouse models are time-consuming and inefficient for large-scale application. Clinical relevant patient-derived organoids have been successfully established from PTC clinical specimens, showing high consistency with parental tumors in histopathological and genome analysis. A detailed method for deriving PTC organoids from clinical specimens is presented, with a success rate of 77.6% (38/49) so far.
Papillary thyroid cancer (PTC) is a common malignancy of the endocrine system, and its morbidity and mortality are increasing year by year. Traditional two-dimensional culture of cell lines lacks tissue structure and is difficult to reflect the heterogeneity of tumors. The construction of mouse models is inefficient and time-consuming, which is difficult to be applied to individualized treatment on a large scale. Clinically relevant models that recapitulate the biology of their corresponding parental tumors are urgently needed. Based on clinical specimens of PTC, we have successfully established patient-derived organoids by exploring and optimizing the organoid culture system. These organoids have been cultured stably for more than 5 passages and successfully cryopreserved and retried. Histopathological and genome analysis revealed a high consistency of the histological architectures as well as mutational landscapes between the matched tumors and organoids. Here, we present a fully detailed method to derive PTC organoids from clinical specimens. Using this approach, we have developed PTC organoid lines from thyroid cancer samples with a success rate of 77.6% (38/49) until now.
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