ArticleTranslational oncology2013
MRI detection of nonproliferative tumor cells in lymph node metastases using iron oxide particles in a mouse model of breast cancer.
Article in Translational oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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Who cites it
13 citing papers in PubMed, 28 citations in OpenAlex.
- Detection of biogenic magnetic nanoparticles in rapidly dividing tumor cells by the nonlinear magnetization method.Frontiers in bioengineering and biotechnology · 2025Article
- Breast cancer in young Indian women: factors, challenges in screening, and upcoming diagnostics.Journal of cancer research and clinical oncology · 2023Review
- Dual Magnetic Particle Imaging and Akaluc Bioluminescence Imaging for Tracking Cancer Cell Metastasis.Tomography (Ann Arbor, Mich.) · 2023Article
- Tracking the fates of iron-labeled tumor cellsNanoscale advances · 2022Article
- Preclinical Models of Brain Metastases in Breast Cancer.Biomedicines · 2022Review
- Comparing the fate of brain metastatic breast cancer cells in different immune compromised mice with cellular magnetic resonance imaging.Clinical & experimental metastasis · 2020Article
- Nanotechnology-Based Strategies to Develop New Anticancer Therapies.Biomolecules · 2020Review
- Cellular magnetic resonance imaging: in vivo tracking of gastric cancer cells and detecting of lymph node metastases using microparticles of iron oxide in mice.Cancer management and research · 2019Article
- Contribution of macrophages in the contrast loss in iron oxide-based MRI cancer cell tracking studies.Oncotarget · 2017Article
- Investigating the Impact of a Primary Tumor on Metastasis and Dormancy Using MRI: New Insights into the Mechanism of Concomitant Tumor Resistance.Tomography (Ann Arbor, Mich.) · 2016Article
- A cell-penetrating protein designed for bimodal fluorescence and magnetic resonance imaging.Chemical science · 2015Article
- Cell tracking using (19)F magnetic resonance imaging: technical aspects and challenges towards clinical applications.European radiology · 2015Article
- Breast Cancer: Conventional Diagnosis and Treatment Modalities and Recent Patents and Technologies.Breast cancer : basic and clinical research · 2015Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell tracking with magnetic resonance imaging (MRI) and iron nanoparticles is commonly used to monitor the fate of implanted cells in preclinical disease models. Few studies have employed these methods to study cancer cells because proliferative iron-labeled cancer cells will lose the label as they divide. In this study, we evaluate the potential for retention of the iron nanoparticle label, and resulting MRI signal, to serve as a marker for slowly dividing cancer cells. Green fluorescent protein-transfected MDA-MB-231 breast cancer cells were labeled with red fluorescent micron-sized superparamagnetic iron oxide (MPIO) nanoparticles. Cells were examined in vitro at multiple time points after labeling by staining for iron-labeled cells and by flow cytometric detection of the fluorescent MPIO. Severe combined immune deficiency (SCID) mice were implanted with 5 x 10(5) MPIO-labeled or unlabeled cells in the mammary fat pad and MRI was performed weekly until 28 days after injection. Microscopy was performed to validate MRI. In vitro assays revealed a very small percentage of cells that retained MPIO at 14 days after labeling. Regions of signal loss were observed in MRI of primary tumors that developed from iron-labeled cancer cells. Small focal regions of signal loss were detected in images of the axillary and brachial nodes in six of eight mice, at day 14 or later, with microscopy confirming the presence of iron-labeled cancer cells. Our data suggest an interesting role for cell tracking with iron particles since label retention leads to persistent signal void, allowing proliferative status to be determined.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.