Automated Tracking of Nanoparticle-labeled Melanoma Cells Improves the Predictive Power of a Brain Metastasis Model

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11130%2F13%3A10209605" target="_blank" >RIV/00216208:11130/13:10209605 - isvavai.cz</a>

Alternative codes found

RIV/68378041:_____/13:00392379 RIV/61389013:_____/13:00392379

Result on the web

<a href="http://dx.doi.org/10.1158/0008-5472.CAN-12-3514" target="_blank" >http://dx.doi.org/10.1158/0008-5472.CAN-12-3514</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1158/0008-5472.CAN-12-3514" target="_blank" >10.1158/0008-5472.CAN-12-3514</a>

Result language

angličtina

Original language name

Automated Tracking of Nanoparticle-labeled Melanoma Cells Improves the Predictive Power of a Brain Metastasis Model

Original language 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

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

FD - Oncology and haematology

OECD FORD branch

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Project

<a href="/en/project/GAP304%2F12%2F1370" target="_blank" >GAP304/12/1370: Superparamagnetic iron-oxide nanoparticles for cellular imaging and their effect on genotoxicity, cytotocixity and stem cell differentiation.</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2013

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Cancer Research

ISSN

0008-5472

e-ISSN

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Volume of the periodical

73

Issue of the periodical within the volume

8

Country of publishing house

US - UNITED STATES

Number of pages

12

Pages from-to

2445-2456

UT code for WoS article

000317595800009

EID of the result in the Scopus database

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