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Generation of orthotopic patient-derived xenograft models for pancreatic cancer using tumor slices
Orthotopic patient-derived xenograft models recapitulate the genomic complexity of the original tumor and some aspects of local microenvironment, useful for rapid development and validation of personalized treatment strategies. Here, we precisely describe a protocol for generating tumor slices from...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768417/ https://www.ncbi.nlm.nih.gov/pubmed/36595938 http://dx.doi.org/10.1016/j.xpro.2022.101899 |
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author | Curiel-Garcia, Alvaro Decker-Farrell, Amanda R. Sastra, Stephen A. Olive, Kenneth P. |
author_facet | Curiel-Garcia, Alvaro Decker-Farrell, Amanda R. Sastra, Stephen A. Olive, Kenneth P. |
author_sort | Curiel-Garcia, Alvaro |
collection | PubMed |
description | Orthotopic patient-derived xenograft models recapitulate the genomic complexity of the original tumor and some aspects of local microenvironment, useful for rapid development and validation of personalized treatment strategies. Here, we precisely describe a protocol for generating tumor slices from human or murine-derived pancreatic cancer. They are then implanted directly into the murine pancreas, monitored using ultrasound, with a 90% success rate. This assay creates a clinically relevant in vivo model facilitating personalized treatment development. |
format | Online Article Text |
id | pubmed-9768417 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-97684172022-12-22 Generation of orthotopic patient-derived xenograft models for pancreatic cancer using tumor slices Curiel-Garcia, Alvaro Decker-Farrell, Amanda R. Sastra, Stephen A. Olive, Kenneth P. STAR Protoc Protocol Orthotopic patient-derived xenograft models recapitulate the genomic complexity of the original tumor and some aspects of local microenvironment, useful for rapid development and validation of personalized treatment strategies. Here, we precisely describe a protocol for generating tumor slices from human or murine-derived pancreatic cancer. They are then implanted directly into the murine pancreas, monitored using ultrasound, with a 90% success rate. This assay creates a clinically relevant in vivo model facilitating personalized treatment development. Elsevier 2022-12-12 /pmc/articles/PMC9768417/ /pubmed/36595938 http://dx.doi.org/10.1016/j.xpro.2022.101899 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Curiel-Garcia, Alvaro Decker-Farrell, Amanda R. Sastra, Stephen A. Olive, Kenneth P. Generation of orthotopic patient-derived xenograft models for pancreatic cancer using tumor slices |
title | Generation of orthotopic patient-derived xenograft models for pancreatic cancer using tumor slices |
title_full | Generation of orthotopic patient-derived xenograft models for pancreatic cancer using tumor slices |
title_fullStr | Generation of orthotopic patient-derived xenograft models for pancreatic cancer using tumor slices |
title_full_unstemmed | Generation of orthotopic patient-derived xenograft models for pancreatic cancer using tumor slices |
title_short | Generation of orthotopic patient-derived xenograft models for pancreatic cancer using tumor slices |
title_sort | generation of orthotopic patient-derived xenograft models for pancreatic cancer using tumor slices |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768417/ https://www.ncbi.nlm.nih.gov/pubmed/36595938 http://dx.doi.org/10.1016/j.xpro.2022.101899 |
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