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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...

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Autores principales: Curiel-Garcia, Alvaro, Decker-Farrell, Amanda R., Sastra, Stephen A., Olive, Kenneth P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
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.
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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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