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Patient-Derived Tumor Xenografts Plus Ex Vivo Models Enable Drug Validation for Tenosynovial Giant Cell Tumors.
- Source :
- Annals of Surgical Oncology: An Oncology Journal for Surgeons; Oct2021, Vol. 28 Issue 11, p6453-6463, 11p
- Publication Year :
- 2021
-
Abstract
- Introduction: Tenosynovial giant cell tumor (TGCT) is a locally aggressive tumor with colony-stimulating factor 1 receptor (CSF1R) signal expression. However, there is a lack of better in vivo and ex vivo models for TGCT. This study aims to establish a favorable preclinical translational platform, which would enable the validation of efficient and personalized therapeutic candidates for TGCT. Patients and Methods: Histological analyses were performed for the included patients. Fresh TGCT tumors were collected and sliced into 1.0–3.0 mm<superscript>3</superscript> sections using a sterilized razor blade. The tumor grafts were surgically implanted into subrenal capsules of athymic mice to establish patient-derived tumor xenograft (PDTX) mouse models. Histological and response patterns to CSF1R inhibitors evaluations were analyzed. In addition, ex vivo cultures of patient-derived explants (PDEs) with endpoint analysis were used to validate TGCT graft response patterns to CSF1R inhibitors. Results: The TGCT tumor grafts that were implanted into athymic mice subrenal capsules maintained their original morphological and histological features. The "take" rate of this model was 95% (19/20). Administration of CSF1R inhibitors (PLX3397, and a novel candidate, WXFL11420306) to TGCT-PDTX mice was shown to reduce tumor size while inducing intratumoral apoptosis. In addition, the CSF1R inhibitors suppressed circulating nonspecific monocyte levels and CD163-positive cells within tumors. These response patterns of engrafts to PDTX were validated by ex vivo PDE cultures. Conclusions: Subrenal capsule supports the growth of TGCT tumor grafts, maintaining their original morphology and histology. This TGCT-PDTX model plus ex vivo explant cultures is a potential preclinical translational platform for locally aggressive tumors, such as TGCT. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10689265
- Volume :
- 28
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- Annals of Surgical Oncology: An Oncology Journal for Surgeons
- Publication Type :
- Academic Journal
- Accession number :
- 152604157
- Full Text :
- https://doi.org/10.1245/s10434-021-09836-9