Article ; Online: Generation of post-surgical minimal residual disease models to investigate metastasis in soft tissue sarcoma patient-derived orthotopic xenografts.
STAR protocols
2024 Volume 5, Issue 1, Page(s) 102863
Abstract: Despite optimal multimodal treatment including surgical resection, 50%-80% of high-grade soft tissue sarcoma (STS) patients metastasize. Here, we present a protocol for the generation and use of post-surgical minimal residual disease models to ... ...
Abstract | Despite optimal multimodal treatment including surgical resection, 50%-80% of high-grade soft tissue sarcoma (STS) patients metastasize. Here, we present a protocol for the generation and use of post-surgical minimal residual disease models to investigate metastatic relapse in STS patient-derived xenografts. We describe steps for orthotopic engraftment of high-grade STS patient-derived tumor tissue. We then detail procedures for primary tumor resection with broad, negative resection margins and follow-up until metastases using MRI. For complete details on the use and execution of this protocol, please refer to Fischer et al. (2023). |
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MeSH term(s) | Humans ; Neoplasm, Residual ; Heterografts ; Sarcoma/diagnostic imaging ; Sarcoma/surgery ; Sarcoma/pathology ; Soft Tissue Neoplasms/diagnostic imaging ; Soft Tissue Neoplasms/surgery ; Soft Tissue Neoplasms/pathology ; Magnetic Resonance Imaging |
Language | English |
Publishing date | 2024-02-28 |
Publishing country | United States |
Document type | Journal Article |
ISSN | 2666-1667 |
ISSN (online) | 2666-1667 |
DOI | 10.1016/j.xpro.2024.102863 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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