Preclinical imaging and translational animal models of cancer for accelerated clinical implementation of nanotechnologies and macromolecular agents

Souza, Raquel De; Spence, Tara; Huang, Huang; Allen, Christine

doi:10.1016/j.jconrel.2015.09.041

Cited by 10 publications

(8 citation statements)

References 154 publications

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“…Polymers have evolved synthetically, but their versatility is evaluated by chemical engineers, who consider how the strengths and failures of each can guide the successful implementation of these polymers into technology in the future 124,125 . Imaging at the single cell level has had an important role in deciphering how nanomaterials work and fail in vivo 126 .…”

Section: Clinical Translationmentioning

confidence: 99%

Evolution of macromolecular complexity in drug delivery systems

et al. 2017

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Designing therapeutics is a process with many challenges. Even if the first hurdle — designing a drug that modulates the action of a particular biological target in vitro — is overcome, selective delivery to that target in vivo presents a major barrier. Side-effects can, in many cases, result from the need to use higher doses without targeted delivery. However, the established use of macromolecules to encapsulate or conjugate drugs can provide improved delivery, and stands to enable better therapeutic outcomes. In this Review, we discuss how drug delivery approaches have evolved alongside our ability to prepare increasingly complex macromolecular architectures. We examine how this increased complexity has overcome the challenges of drug delivery and discuss its potential for fulfilling unmet needs in nanomedicine.

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Section: Clinical Translationmentioning

confidence: 99%

Evolution of macromolecular complexity in drug delivery systems

et al. 2017

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“…Another fascinating combination is the PET/MRI, which has been used in the last few years, in both clinical and preclinical settings, even if with some critical technical drawbacks. In any case, the multimodal approach should offer an excellent anatomical resolution with functional information, allowing for a multiparametric evaluation within a single study [8,9,83,96,97,98,99,100].…”

Section: In Vivo Imagingmentioning

confidence: 99%

“…The DCE MRI represents an indirect measure of angiogenesis that evaluates the dynamic passage of a contrast agent through the tumor vessels to derive pharmacokinetic properties, measuring the contrast agent extravasation rate (Ktrans) and volume fraction (ve) of the extracellular extravascular space (EES), as thoroughly described elsewhere [93,112,113,114]. Such methods have been used to monitor perfusion, as a marker of responsiveness to antiangiogenic treatments, both in preclinical and clinical trials, in terms of either efficacy or early identification of treatment failure [14,99,115,116,117,118,119,120]. Therefore, the clinical ability of this method is remarkable not only for the functional information on the tumor vascularization pattern but also for the chemotherapy planning, monitoring response, and implementing a new line of therapies [121].…”

Section: Magnetic Resonance Imaging Sequences In the Translationalmentioning

confidence: 99%

“…Diffusion-weighted imaging (DWI) is an MRI approach used to evaluate the diffusion rate of water molecules within tissues without the use of exogenous contrast agents [14]. The diffusion of water molecules and the degree of mobility are expressed quantitatively by the apparent diffusion coefficient (ADC), which can estimate the changes in cellularity and the integrity of cell membranes [99,136,137]. In particular, DWI is suited for the characterization of the tumor and for monitoring treatment response.…”

Section: Magnetic Resonance Imaging Sequences In the Translationalmentioning

confidence: 99%

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Magnetic Resonance Imaging for Translational Research in Oncology

Fiordelisi

Cavaliere

Auletta

et al. 2019

JCM

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The translation of results from the preclinical to the clinical setting is often anything other than straightforward. Indeed, ideas and even very intriguing results obtained at all levels of preclinical research, i.e., in vitro, on animal models, or even in clinical trials, often require much effort to validate, and sometimes, even useful data are lost or are demonstrated to be inapplicable in the clinic. In vivo, small-animal, preclinical imaging uses almost the same technologies in terms of hardware and software settings as for human patients, and hence, might result in a more rapid translation. In this perspective, magnetic resonance imaging might be the most translatable technique, since only in rare cases does it require the use of contrast agents, and when not, sequences developed in the lab can be readily applied to patients, thanks to their non-invasiveness. The wide range of sequences can give much useful information on the anatomy and pathophysiology of oncologic lesions in different body districts. This review aims to underline the versatility of this imaging technique and its various approaches, reporting the latest preclinical studies on thyroid, breast, and prostate cancers, both on small laboratory animals and on human patients, according to our previous and ongoing research lines.

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“…Despite the great potential, many nanoscale drug delivery systems fall short of the anticipated therapeutic potential in vivo because of limitations due to residence time in circulation, aggregation, accumulation to non-target organs, and poor penetration to the tumor tissue [5]. Sensitive and quantitative molecular imaging techniques are valuable tools for the initial in vivo evaluation of nanoscale drug delivery systems in preclinical models as they allow the tracking of the nanosystem behavior non-invasively in real time with minimal disturbance to the sequestration of the nanomaterial and payload release [6]. The hallmark of nuclear molecular imaging techniques, positron emission tomography (PET) and single-photon emission computed tomography (SPECT) is their exceptional sensitivity arising from the unlimited penetration of gamma irradiation in tissues.…”

Section: Introductionmentioning

confidence: 99%

Multimodality labeling strategies for the investigation of nanocrystalline cellulose biodistribution in a mouse model of breast cancer

Sarparanta

Pourat

Carnazza

et al. 2020

Nuclear Medicine and Biology

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Methods-We have developed a nuclear and fluorescence labeling strategy for nanocrystalline cellulose (CNC), an emerging biomaterial with versatile chemistry and facile preparation from renewable sources. We modified CNC through 1,1′-carbonyldiimidazole (CDI) activation with radiometal chelators desferrioxamine B and 1,4,7-triazacyclononane-1,4,7-triacetic acid (NOTA), allowing for the labeling with zirconium-89 (t ½ = 78.41 h) and copper-64 (t ½ = 12.70 h), respectively, for non-invasive positron emission tomography (PET) imaging. The far-red fluorescent dye Cy5 was added for ex vivo optical imaging, microscopy and flow cytometry. The multimodal CNC were evaluated in the syngeneic orthotopic 4T1 tumor model of human stage IV breast cancer. Results-Modified CNC exhibited low cytotoxicity in RAW 264.7 macrophages over 96 h, and high radiolabel stability in vitro. After systemic administration, radiolabeled CNC were rapidly sequestered to the organs of the reticulo-endothelial system (RES), indicating immune recognition and no passive tumor targeting by the enhanced permeability and retention (EPR) effect. Modification with NOTA was a more favorable strategy in terms of radiolabeling yield, specific radioactivity, and both the radiolabel and dispersion stability in physiological conditions. Flow

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Preclinical imaging and translational animal models of cancer for accelerated clinical implementation of nanotechnologies and macromolecular agents

Cited by 10 publications

References 154 publications

Evolution of macromolecular complexity in drug delivery systems

Evolution of macromolecular complexity in drug delivery systems

Magnetic Resonance Imaging for Translational Research in Oncology

Multimodality labeling strategies for the investigation of nanocrystalline cellulose biodistribution in a mouse model of breast cancer

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