Literature DB >> 26409122

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

Raquel De Souza1, Tara Spence2, Huang Huang3, Christine Allen4.   

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.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Animal models; Metastasis; Multimodal imaging; Oncology; Preclinical; Preclinical imaging

Mesh:

Substances:

Year:  2015        PMID: 26409122     DOI: 10.1016/j.jconrel.2015.09.041

Source DB:  PubMed          Journal:  J Control Release        ISSN: 0168-3659            Impact factor:   9.776


  4 in total

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

Authors:  Mirkka Sarparanta; Jacob Pourat; Kathryn E Carnazza; Jun Tang; Navid Paknejad; Thomas Reiner; Mauri A Kostiainen; Jason S Lewis
Journal:  Nucl Med Biol       Date:  2019-11-09       Impact factor: 2.408

2.  A preclinical ultrasound method for the assessment of vascular disease progression in murine models.

Authors:  Justyna Janus; Baris Kanber; Wadhah Mahbuba; Charlotte Beynon; Kumar V Ramnarine; David G Lambert; Nilesh J Samani; Emma J Stringer; Michael E Kelly
Journal:  Ultrasound       Date:  2018-08-07

Review 3.  Magnetic Resonance Imaging for Translational Research in Oncology.

Authors:  Maria Felicia Fiordelisi; Carlo Cavaliere; Luigi Auletta; Luca Basso; Marco Salvatore
Journal:  J Clin Med       Date:  2019-11-06       Impact factor: 4.241

4.  Reappraisal of anticancer nanomedicine design criteria in three types of preclinical cancer models for better clinical translation.

Authors:  Xin Luan; Hebao Yuan; Yudong Song; Hongxiang Hu; Bo Wen; Miao He; Huixia Zhang; Yan Li; Feng Li; Pan Shu; Joseph P Burnett; Nathan Truchan; Maria Palmisano; Manjunath P Pai; Simon Zhou; Wei Gao; Duxin Sun
Journal:  Biomaterials       Date:  2021-06-03       Impact factor: 12.479

  4 in total

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