Literature DB >> 23331009

Multimodal optical, X-ray CT, and SPECT imaging of a mouse model of breast cancer lung metastasis.

C A Davison1, S E Chapman, T A Sasser, C Wathen, J Diener, Z T Schafer, W M Leevy.   

Abstract

Tumor heterogeneity is recognized as a major issue within clinical oncology, and the concept of personalized molecular medicine is emerging as a means to mitigate this problem. Given the vast number of cancer types and subtypes, robust pre-clinical models of cancer must be studied to interrogate the molecular mechanisms involved in each scenario. In particular, mouse models of tumor metastasis are of critical importance for pre-clinical cancer research at the cancer cell molecular level. In many of these experimental systems, tumor cells are injected intravenously, and the distribution and proliferation of these cells are subsequently analyzed via ex vivo methods. These techniques require large numbers of animals coupled with time-consuming histological preparation and analysis. Herein, we demonstrate the use of two facile and noninvasive imaging techniques to enhance the study of a pre-clinical model of breast cancer metastasis in the lung. Breast cancer cells were labeled with a near-infrared fluorophore that enables their visualization. Upon injection into a living mouse, the distribution of the cells in the body was detected and measured using whole animal fluorescence imaging. X-ray computed tomography (CT) was subsequently used to provide a quantitative measure of longitudinal tumor cell accumulation in the lungs over six weeks. A nuclear probe for lung perfusion, 99mTc-MAA, was also imaged and tested during the time course using single photon emission computed tomography (SPECT). Our results demonstrate that optical fluorescence methods are useful to visualize cancer cell distribution patterns that occur immediately after injection. Longitudinal imaging with X-ray CT provides a convenient and quantitative avenue to measure tumor growth within the lung space over several weeks. Results with nuclear imaging did not show a correlation between lung perfusion (SPECT) and segmented lung volume (CT). Nevertheless, the combination of animal models and noninvasive optical and CT imaging methods provides better research tools to study cancer cell differences at the molecular level. Ultimately, the knowledge gleaned from these improved studies will aid researchers in uncovering the mechanisms mediating breast cancer metastasis, and eventually improve the treatments of patients in the clinic.

Entities:  

Mesh:

Year:  2013        PMID: 23331009     DOI: 10.2174/1566524011313030006

Source DB:  PubMed          Journal:  Curr Mol Med        ISSN: 1566-5240            Impact factor:   2.222


  5 in total

1.  Contrast-enhanced computerized tomography combined with a targeted nanoparticle contrast agent for screening for early-phase non-small cell lung cancer.

Authors:  Ninglu Yuan; Xiaohe Zhang; Yonghui Cao; Xiaojie Jiang; Si Zhao; Yingying Feng; Yimeng Fan; Zhitao Lu; Hongmei Gao
Journal:  Exp Ther Med       Date:  2017-09-19       Impact factor: 2.447

2.  Longitudinal microcomputed tomography-derived biomarkers for lung metastasis detection in a syngeneic mouse model: added value to bioluminescence imaging.

Authors:  Eyra Marien; Amy Hillen; Frank Vanderhoydonc; Johannes V Swinnen; Greetje Vande Velde
Journal:  Lab Invest       Date:  2016-11-21       Impact factor: 5.662

3.  Compound C, a Broad Kinase Inhibitor Alters Metabolic Fingerprinting of Extra Cellular Matrix Detached Cancer Cells.

Authors:  Mohammed Razeeth Shait Mohammed; Raed Ahmed Alghamdi; Abdulaziz Musa Alzahrani; Mazin A Zamzami; Hani Choudhry; Mohammad Imran Khan
Journal:  Front Oncol       Date:  2021-02-25       Impact factor: 6.244

Review 4.  In vivo X-ray computed tomographic imaging of soft tissue with native, intravenous, or oral contrast.

Authors:  Connor A Wathen; Nathan Foje; Tony van Avermaete; Bernadette Miramontes; Sarah E Chapaman; Todd A Sasser; Raghuraman Kannan; Steven Gerstler; W Matthew Leevy
Journal:  Sensors (Basel)       Date:  2013-05-27       Impact factor: 3.576

5.  Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving (SSLE) of Glass Crystals.

Authors:  Aislinn M Betts; Matthew T McGoldrick; Christopher R Dethlefs; Justin Piotrowicz; Tony Van Avermaete; Jeff Maki; Steve Gerstler; W M Leevy
Journal:  J Vis Exp       Date:  2017-04-25       Impact factor: 1.355

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.