This HTML5 document contains 62 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n16http://localhost/temp/predkladatel/
n21http://linked.opendata.cz/resource/domain/vavai/projekt/
n17http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n14http://linked.opendata.cz/resource/domain/vavai/subjekt/
n13http://linked.opendata.cz/ontology/domain/vavai/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
rdfshttp://www.w3.org/2000/01/rdf-schema#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n7http://bibframe.org/vocab/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
n8http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216208%3A11130%2F13%3A10209605%21RIV14-MSM-11130___/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n11http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n18http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n12http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n4http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n20http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n19http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n15http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216208%3A11130%2F13%3A10209605%21RIV14-MSM-11130___
rdf:type
n13:Vysledek skos:Concept
rdfs:seeAlso
http://dx.doi.org/10.1158/0008-5472.CAN-12-3514
dcterms:description
Biologic and therapeutic advances in melanoma brain metastasis are hampered by the paucity of reproducible and predictive animal models. In this work, we developed a robust model of brain metastasis that empowers quantitative tracking of cellular dissemination and tumor progression. Human melanoma cells labeled with superparamagnetic iron oxide nanoparticles (SPION) were injected into the left cardiac ventricle of mice and visualized by MRI. We showed that SPION exposure did not affect viability, growth, or migration in multiple cell lines across several in vitro assays. Moreover, labeling did not impose changes in cell-cycle distribution or apoptosis. In vivo, several SPION-positive cell lines displayed similar cerebral imaging and histologic features. MRI-based automated quantification of labeled cells in the brain showed a sigmoid association between metastasis frequency and doses of inoculated cells. Validation of this fully automated quantification showed a strong correlation with manual signal registration (r(2) = 0.921, P < 0.001) and incidence of brain metastases (r(2) = 0.708, P < 0.001). Metastasis formation resembled the pattern seen in humans and was unaffected by SPION labeling (histology; tumor count, P = 0.686; survival, P = 0.547). In summary, we present here a highly reproducible animal model that can improve the predictive value of mechanistic and therapeutic studies of melanoma brain metastasis. Cancer Res; 73(8); 2445-56. (C) 2013 AACR. Biologic and therapeutic advances in melanoma brain metastasis are hampered by the paucity of reproducible and predictive animal models. In this work, we developed a robust model of brain metastasis that empowers quantitative tracking of cellular dissemination and tumor progression. Human melanoma cells labeled with superparamagnetic iron oxide nanoparticles (SPION) were injected into the left cardiac ventricle of mice and visualized by MRI. We showed that SPION exposure did not affect viability, growth, or migration in multiple cell lines across several in vitro assays. Moreover, labeling did not impose changes in cell-cycle distribution or apoptosis. In vivo, several SPION-positive cell lines displayed similar cerebral imaging and histologic features. MRI-based automated quantification of labeled cells in the brain showed a sigmoid association between metastasis frequency and doses of inoculated cells. Validation of this fully automated quantification showed a strong correlation with manual signal registration (r(2) = 0.921, P < 0.001) and incidence of brain metastases (r(2) = 0.708, P < 0.001). Metastasis formation resembled the pattern seen in humans and was unaffected by SPION labeling (histology; tumor count, P = 0.686; survival, P = 0.547). In summary, we present here a highly reproducible animal model that can improve the predictive value of mechanistic and therapeutic studies of melanoma brain metastasis. Cancer Res; 73(8); 2445-56. (C) 2013 AACR.
dcterms:title
Automated Tracking of Nanoparticle-labeled Melanoma Cells Improves the Predictive Power of a Brain Metastasis Model Automated Tracking of Nanoparticle-labeled Melanoma Cells Improves the Predictive Power of a Brain Metastasis Model
skos:prefLabel
Automated Tracking of Nanoparticle-labeled Melanoma Cells Improves the Predictive Power of a Brain Metastasis Model Automated Tracking of Nanoparticle-labeled Melanoma Cells Improves the Predictive Power of a Brain Metastasis Model
skos:notation
RIV/00216208:11130/13:10209605!RIV14-MSM-11130___
n13:predkladatel
n14:orjk%3A11130
n3:aktivita
n4:P n4:I
n3:aktivity
I, P(GAP304/12/1370)
n3:cisloPeriodika
8
n3:dodaniDat
n15:2014
n3:domaciTvurceVysledku
n17:4798201 n17:6738109
n3:druhVysledku
n20:J
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n8:predkladatel
n3:idSjednocenehoVysledku
62580
n3:idVysledku
RIV/00216208:11130/13:10209605
n3:jazykVysledku
n12:eng
n3:klicovaSlova
mice; fate; trial; biology; cancer; drug-sensitivity; magnetic nanoparticles; in-vivo mri; human tumor xenografts; iron-oxide nanoparticles
n3:klicoveSlovo
n11:biology n11:in-vivo%20mri n11:mice n11:trial n11:drug-sensitivity n11:magnetic%20nanoparticles n11:iron-oxide%20nanoparticles n11:human%20tumor%20xenografts n11:fate n11:cancer
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[E53666D983A6]
n3:nazevZdroje
Cancer Research
n3:obor
n19:FD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
13
n3:projekt
n21:GAP304%2F12%2F1370
n3:rokUplatneniVysledku
n15:2013
n3:svazekPeriodika
73
n3:tvurceVysledku
Skaftnesmo, Kai Ove Syková, Eva Daphu, Inderjit Thorsen, Frits Lund-Johansen, Morten Wendelbo, Ingvild Lundervold, Arvid Hodneland, Erlend Immervoll, Heike Jendelová, Pavla Babic, Michal Sundstrom, Terje Bjerkvig, Rolf
n3:wos
000317595800009
s:issn
0008-5472
s:numberOfPages
12
n7:doi
10.1158/0008-5472.CAN-12-3514
n16:organizacniJednotka
11130