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In vivo magnetic resonance imaging of orthotopic prostate cancer. Biotechniques 2020; 69:395-403. [PMID: 32363906 DOI: 10.2144/btn-2020-0021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Methods for imaging orthotopic prostate tumors within the prostate or small tumors with extension outside the prostate are needed to more closely model human prostate tumors, which are most commonly located within the gland or may extend just through the gland. By comparing MR sequences, we found that the T2-based Dixon 'water only' sequence best visualized tumors within the prostate of mouse models in both young and old mice and that tumor weight derived from this sequence correlated highly with ex vivo tumor weight (r2 = 0.98, p < 0.001, n = 12). This should aid tumor detection, margin delineation and evaluation of tumor burden to enable studies including, but not limited to, evaluating the natural history of the disease, the mechanisms of action and the efficacy of therapeutic interventions.
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Ni J, Bongers A, Chamoli U, Bucci J, Graham P, Li Y. In Vivo 3D MRI Measurement of Tumour Volume in an Orthotopic Mouse Model of Prostate Cancer. Cancer Control 2019; 26:1073274819846590. [PMID: 31032634 PMCID: PMC6488786 DOI: 10.1177/1073274819846590] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Prostate cancer (CaP) is the most commonly diagnosed cancer in males in western
countries. Orthotopic implantation is considered as an ideal xenograft model for
CaP study, and noninvasive measurement of tumor volume changes is important for
monitoring responses to anticancer therapies. In this study, the T2-weighted
fast spin echo sequence magnetic resonance imaging (MRI) was performed on a CaP
orthotopic non-obese diabetic/severe combined immunodeficiency (NOD/SCID) mouse
model weekly for 6 weeks post PC-3 CaP cell inoculation, and the fat signal was
suppressed using a chemical shift-selective pulse. Subsequently, the MRI data
were imported into the image processing software Avizo Standard and stacked into
three-dimensional (3D) volumes. Our results demonstrate that MRI, combined with
3D reconstruction, is a feasible and sensitive method to assess tumor growth in
a PC-3 orthotopic CaP mouse model and this established monitoring approach is
promising for longitudinal observation of CaP xenograft development after
anticancer therapy in vivo. Further investigation is needed to
validate this protocol in a larger cohort of mice to generate enough statistical
power.
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Affiliation(s)
- Jie Ni
- 1 Cancer Care Centre, St George Hospital, Kogarah, New South Wales, Australia.,2 St George and Sutherland Clinical School, UNSW Sydney, New South Wales, Australia
| | - Andre Bongers
- 3 Biological Resource Imaging Laboratory, UNSW Sydney, New South Wales, Australia
| | - Uphar Chamoli
- 4 Spine Service, Department of Orthopaedic Surgery, St George and Sutherland Clinical School, UNSW Sydney, Kogarah, New South Wales, Australia.,5 School of Biomedical Engineering, University of Technology Sydney, Ultimo, New South Wales, Australia
| | - Joseph Bucci
- 1 Cancer Care Centre, St George Hospital, Kogarah, New South Wales, Australia.,2 St George and Sutherland Clinical School, UNSW Sydney, New South Wales, Australia
| | - Peter Graham
- 1 Cancer Care Centre, St George Hospital, Kogarah, New South Wales, Australia.,2 St George and Sutherland Clinical School, UNSW Sydney, New South Wales, Australia
| | - Yong Li
- 1 Cancer Care Centre, St George Hospital, Kogarah, New South Wales, Australia.,2 St George and Sutherland Clinical School, UNSW Sydney, New South Wales, Australia.,6 School of Basic Medical Sciences, Zhengzhou University, Henan, China
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De Souza R, Spence T, Huang H, Allen C. Preclinical imaging and translational animal models of cancer for accelerated clinical implementation of nanotechnologies and macromolecular agents. J Control Release 2015; 219:313-330. [PMID: 26409122 DOI: 10.1016/j.jconrel.2015.09.041] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2015] [Revised: 09/22/2015] [Accepted: 09/22/2015] [Indexed: 01/08/2023]
Abstract
The majority of animal models of cancer have performed poorly in terms of predicting clinical performance of new therapeutics, which are most often first evaluated in patients with advanced, metastatic disease. The development and use of metastatic models of cancer may enhance clinical translatability of preclinical studies focused on the development of nanotechnology-based drug delivery systems and macromolecular therapeutics, potentially accelerating their clinical implementation. It is recognized that the development and use of such models are not without challenge. Preclinical imaging tools offer a solution by allowing temporal and spatial characterization of metastatic lesions. This paper provides a review of imaging methods applicable for evaluation of novel therapeutics in clinically relevant models of advanced cancer. An overview of currently utilized models of oncology in small animals is followed by image-based development and characterization of visceral metastatic cancer models. Examples of imaging tools employed for metastatic lesion detection, evaluation of anti-tumor and anti-metastatic potential and biodistribution of novel therapies, as well as the co-development and/or use of imageable surrogates of response, are also discussed. While the focus is on development of macromolecular and nanotechnology-based therapeutics, examples with small molecules are included in some cases to illustrate concepts and approaches that can be applied in the assessment of nanotechnologies or macromolecules.
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Affiliation(s)
- Raquel De Souza
- Leslie Dan Faculty of Pharmacy, 144 College Street, Toronto, Ontario M5S 3M2, Canada.
| | - Tara Spence
- Leslie Dan Faculty of Pharmacy, 144 College Street, Toronto, Ontario M5S 3M2, Canada
| | - Huang Huang
- DLVR Therapeutics, 661 University Avenue, Toronto, Ontario M5G 0A3, Canada
| | - Christine Allen
- Leslie Dan Faculty of Pharmacy, 144 College Street, Toronto, Ontario M5S 3M2, Canada.
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