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一种多模态成像模型,可在小鼠脑中追踪从单个休眠到转移的存活乳腺癌细胞。

A multimodality imaging model to track viable breast cancer cells from single arrest to metastasis in the mouse brain.

机构信息

Robarts Research Institute, The University of Western Ontario, London, Ontario, Canada.

The Department of Medical Biophysics, The University of Western Ontario, London, Ontario, Canada.

出版信息

Sci Rep. 2016 Oct 21;6:35889. doi: 10.1038/srep35889.


DOI:10.1038/srep35889
PMID:27767185
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5073295/
Abstract

Cellular MRI involves sensitive visualization of iron-labeled cells in vivo but cannot differentiate between dead and viable cells. Bioluminescence imaging (BLI) measures cellular viability, and thus we explored combining these tools to provide a more holistic view of metastatic cancer cell fate in mice. Human breast carcinoma cells stably expressing Firefly luciferase were loaded with iron particles, injected into the left ventricle, and BLI and MRI were performed on days 0, 8, 21 and 28. The number of brain MR signal voids (i.e., iron-loaded cells) on day 0 significantly correlated with BLI signal. Both BLI and MRI signals decreased from day 0 to day 8, indicating a loss of viable cells rather than a loss of iron label. Total brain MR tumour volume on day 28 also correlated with BLI signal. Overall, BLI complemented our sensitive cellular MRI technologies well, allowing us for the first time to screen animals for successful injections, and, in addition to MR measures of cell arrest and tumor burden, provided longitudinal measures of cancer cell viability in individual animals. We predict this novel multimodality molecular imaging framework will be useful for evaluating the efficacy of emerging anti-cancer drugs at different stages of the metastatic cascade.

摘要

细胞 MRI 涉及体内铁标记细胞的敏感可视化,但不能区分死亡细胞和存活细胞。生物发光成像(BLI)可测量细胞活力,因此我们探索了将这些工具结合起来,以更全面地了解小鼠转移性癌细胞的命运。稳定表达萤火虫荧光素酶的人乳腺癌细胞被加载铁颗粒,注入左心室,并在第 0、8、21 和 28 天进行 BLI 和 MRI 检查。第 0 天的脑 MRI 信号缺失(即铁负载细胞)数量与 BLI 信号显著相关。从第 0 天到第 8 天,BLI 和 MRI 信号均下降,表明活细胞的丧失而不是铁标记的丧失。第 28 天的全脑 MRI 肿瘤体积也与 BLI 信号相关。总之,BLI 很好地补充了我们敏感的细胞 MRI 技术,使我们首次能够筛选出成功注射的动物,除了 MRI 对细胞阻滞和肿瘤负担的测量外,还提供了个体动物中癌细胞活力的纵向测量。我们预测,这种新的多模态分子成像框架将有助于评估不同转移级联阶段新兴抗癌药物的疗效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e5e/5073295/564aeb306c70/srep35889-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e5e/5073295/9fbfc2e05899/srep35889-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e5e/5073295/0643edb0e764/srep35889-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e5e/5073295/e242283dec3c/srep35889-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e5e/5073295/8890a0dd3f4c/srep35889-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e5e/5073295/f1f8ce07688d/srep35889-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e5e/5073295/601897747b57/srep35889-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e5e/5073295/564aeb306c70/srep35889-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e5e/5073295/9fbfc2e05899/srep35889-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e5e/5073295/0643edb0e764/srep35889-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e5e/5073295/e242283dec3c/srep35889-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e5e/5073295/8890a0dd3f4c/srep35889-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e5e/5073295/f1f8ce07688d/srep35889-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e5e/5073295/601897747b57/srep35889-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e5e/5073295/564aeb306c70/srep35889-f7.jpg

相似文献

[1]
A multimodality imaging model to track viable breast cancer cells from single arrest to metastasis in the mouse brain.

Sci Rep. 2016-10-21

[2]
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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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[10]
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引用本文的文献

[1]
The SRG rat as a novel host for an orthotopic patient-derived xenograft model of breast cancer brain metastasis.

Sci Rep. 2025-7-1

[2]
Diagnostics and Screening in Breast Cancer with Brain and Leptomeningeal Metastasis: A Review of the Literature.

Cancers (Basel). 2024-10-31

[3]
A Novel Luciferase-Based Reporter Gene Technology for Simultaneous Optical and Radionuclide Imaging of Cells.

Int J Mol Sci. 2024-7-27

[4]
Preclinical Models of Brain Metastases in Breast Cancer.

Biomedicines. 2022-3-13

[5]
A method for the efficient iron-labeling of patient-derived xenograft cells and cellular imaging validation.

J Biol Methods. 2021-9-3

[6]
Quantitative analysis of metastatic breast cancer in mice using deep learning on cryo-image data.

Sci Rep. 2021-9-1

[7]
Safe harbor-targeted CRISPR-Cas9 homology-independent targeted integration for multimodality reporter gene-based cell tracking.

Sci Adv. 2021-1

[8]
Engineering Circulating Tumor Cells as Novel Cancer Theranostics.

Theranostics. 2020

[9]
Cellular MRI Reveals Altered Brain Arrest of Genetically Engineered Metastatic Breast Cancer Cells.

Contrast Media Mol Imaging. 2019-1-8

[10]
Characterization of an Orthotopic Rat Model of Glioblastoma Using Multiparametric Magnetic Resonance Imaging and Bioluminescence Imaging.

Tomography. 2018-6

本文引用的文献

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Monitoring Disease Progression and Therapeutic Response in a Disseminated Tumor Model for Non-Hodgkin Lymphoma by Bioluminescence Imaging.

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