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Optimization of the dorsal skinfold window chamber model and multi-parametric characterization of tumor-associated vasculature

The dorsal skinfold window chamber (DSWC) model is a unique tool that enables analysis of various aspects of tumor biology and therapeutic response. Although the protocol for the murine DSWC model is standardized, certain tumors fail to grow or require a particular environment to promote growth. Giv...

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Detalles Bibliográficos
Autores principales: Maeda, Azusa, DaCosta, Ralph S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5312716/
https://www.ncbi.nlm.nih.gov/pubmed/28243506
http://dx.doi.org/10.4161/intv.27935
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author Maeda, Azusa
DaCosta, Ralph S
author_facet Maeda, Azusa
DaCosta, Ralph S
author_sort Maeda, Azusa
collection PubMed
description The dorsal skinfold window chamber (DSWC) model is a unique tool that enables analysis of various aspects of tumor biology and therapeutic response. Although the protocol for the murine DSWC model is standardized, certain tumors fail to grow or require a particular environment to promote growth. Given such limitations, we optimized the DSWC model for a slow-growing tumor that regresses spontaneously in the standard protocol. We further characterized the vascular network in the tumor model compared with that of non-tumor-bearing mice and observed significant differences in multiple parameters related to vascular structure and function.
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spelling pubmed-53127162017-02-27 Optimization of the dorsal skinfold window chamber model and multi-parametric characterization of tumor-associated vasculature Maeda, Azusa DaCosta, Ralph S Intravital Short Article The dorsal skinfold window chamber (DSWC) model is a unique tool that enables analysis of various aspects of tumor biology and therapeutic response. Although the protocol for the murine DSWC model is standardized, certain tumors fail to grow or require a particular environment to promote growth. Given such limitations, we optimized the DSWC model for a slow-growing tumor that regresses spontaneously in the standard protocol. We further characterized the vascular network in the tumor model compared with that of non-tumor-bearing mice and observed significant differences in multiple parameters related to vascular structure and function. Taylor & Francis 2014-02-04 /pmc/articles/PMC5312716/ /pubmed/28243506 http://dx.doi.org/10.4161/intv.27935 Text en Copyright © 2014 Landes Bioscience http://creativecommons.org/licenses/by-nc/3.0/ This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.
spellingShingle Short Article
Maeda, Azusa
DaCosta, Ralph S
Optimization of the dorsal skinfold window chamber model and multi-parametric characterization of tumor-associated vasculature
title Optimization of the dorsal skinfold window chamber model and multi-parametric characterization of tumor-associated vasculature
title_full Optimization of the dorsal skinfold window chamber model and multi-parametric characterization of tumor-associated vasculature
title_fullStr Optimization of the dorsal skinfold window chamber model and multi-parametric characterization of tumor-associated vasculature
title_full_unstemmed Optimization of the dorsal skinfold window chamber model and multi-parametric characterization of tumor-associated vasculature
title_short Optimization of the dorsal skinfold window chamber model and multi-parametric characterization of tumor-associated vasculature
title_sort optimization of the dorsal skinfold window chamber model and multi-parametric characterization of tumor-associated vasculature
topic Short Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5312716/
https://www.ncbi.nlm.nih.gov/pubmed/28243506
http://dx.doi.org/10.4161/intv.27935
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