About: Automated Tracking of Nanoparticle-labeled Melanoma Cells Improves the Predictive Power of a Brain Metastasis Model     Goto   Sponge   NotDistinct   Permalink

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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. (en)
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 (en)
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  • 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 (en)
skos:notation
  • RIV/00216208:11130/13:10209605!RIV14-MSM-11130___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, P(GAP304/12/1370)
http://linked.open...iv/cisloPeriodika
  • 8
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 62580
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11130/13:10209605
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • mice; fate; trial; biology; cancer; drug-sensitivity; magnetic nanoparticles; in-vivo mri; human tumor xenografts; iron-oxide nanoparticles (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [E53666D983A6]
http://linked.open...i/riv/nazevZdroje
  • Cancer Research
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 73
http://linked.open...iv/tvurceVysledku
  • Syková, Eva
  • Jendelová, Pavla
  • Lundervold, Arvid
  • Babic, Michal
  • Bjerkvig, Rolf
  • Daphu, Inderjit
  • Hodneland, Erlend
  • Immervoll, Heike
  • Lund-Johansen, Morten
  • Skaftnesmo, Kai Ove
  • Sundstrom, Terje
  • Thorsen, Frits
  • Wendelbo, Ingvild
http://linked.open...ain/vavai/riv/wos
  • 000317595800009
issn
  • 0008-5472
number of pages
http://bibframe.org/vocab/doi
  • 10.1158/0008-5472.CAN-12-3514
http://localhost/t...ganizacniJednotka
  • 11130
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