Literature DB >> 25646505

Noninvasive imaging of tumor burden and molecular pathways in mouse models of cancer.

Yuchuan Wang1, Jen-Chieh Tseng1, Yanping Sun1, Andrew H Beck2, Andrew L Kung3.   

Abstract

Imaging plays a central role in the diagnosis of cancer and the evaluation of therapeutic efficacy in patients with cancer. Because macroscopic imaging is noninvasive and quantitative, the development of specialized instruments for small animals has spurred increasing utilization in preclinical cancer studies. Some small-animal imaging devices are miniaturized derivatives of clinical imaging modalities, including computed tomography, magnetic resonance imaging, positron-emission tomography, single-photon emission computed tomography, and ultrasonography. Optical imaging, including bioluminescence imaging and fluorescence imaging, has evolved from microscopic cellular imaging technologies. Here, we review how current imaging modalities are enabling high-resolution structural imaging with micrometer-scale spatial resolution, thus allowing for the quantification of tumor burden in genetically engineered and orthotopic models of cancer, where tumors develop within organs not typically accessible to measurements with calipers. Beyond measuring tumor size, imaging is increasingly being used to assess the activity of molecular pathways within tumors and to reveal the pharmacodynamic efficacy of targeted therapies. Each imaging technology has particular strengths and limitations, and we discuss how studies should be carefully designed to match the imaging approach to the primary experimental question.
© 2015 Cold Spring Harbor Laboratory Press.

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Year:  2015        PMID: 25646505     DOI: 10.1101/pdb.top069930

Source DB:  PubMed          Journal:  Cold Spring Harb Protoc        ISSN: 1559-6095


  14 in total

Review 1.  Preclinical mouse cancer models: a maze of opportunities and challenges.

Authors:  Chi-Ping Day; Glenn Merlino; Terry Van Dyke
Journal:  Cell       Date:  2015-09-24       Impact factor: 41.582

Review 2.  Best Practices for Preclinical In Vivo Testing of Cancer Nanomedicines.

Authors:  Danielle M Valcourt; Chintan H Kapadia; Mackenzie A Scully; Megan N Dang; Emily S Day
Journal:  Adv Healthc Mater       Date:  2020-05-04       Impact factor: 9.933

Review 3.  Optimizing mouse models for precision cancer prevention.

Authors:  Clémentine Le Magnen; Aditya Dutta; Cory Abate-Shen
Journal:  Nat Rev Cancer       Date:  2016-02-19       Impact factor: 60.716

Review 4.  Precision Medicine in Head and Neck Cancers: Genomic and Preclinical Approaches.

Authors:  Giacomo Miserocchi; Chiara Spadazzi; Sebastiano Calpona; Francesco De Rosa; Alice Usai; Alessandro De Vita; Chiara Liverani; Claudia Cocchi; Silvia Vanni; Chiara Calabrese; Massimo Bassi; Giovanni De Luca; Giuseppe Meccariello; Toni Ibrahim; Marco Schiavone; Laura Mercatali
Journal:  J Pers Med       Date:  2022-05-24

Review 5.  Therapeutic Hypothesis Testing With Rodent Brain Tumor Models.

Authors:  Derek A Wainwright; Craig M Horbinski; Rintaro Hashizume; C David James
Journal:  Neurotherapeutics       Date:  2017-04       Impact factor: 7.620

6.  Noninvasive Bioluminescence Imaging of AKT Kinase Activity in Subcutaneous and Orthotopic NSCLC Xenografts: Correlation of AKT Activity with Tumor Growth Kinetics.

Authors:  Karina Suchowski; Thomas Pöschinger; Alnawaz Rehemtulla; Michael Stürzl; Werner Scheuer
Journal:  Neoplasia       Date:  2017-03-09       Impact factor: 5.715

7.  Enhanced noninvasive imaging of oncology models using the NIS reporter gene and bioluminescence imaging.

Authors:  Rianna Vandergaast; Sarawut Khongwichit; Huailei Jiang; Timothy R DeGrado; Kah-Whye Peng; Duncan R Smith; Stephen J Russell; Lukkana Suksanpaisan
Journal:  Cancer Gene Ther       Date:  2019-01-24       Impact factor: 5.987

Review 8.  Patient-Derived Xenograft Models of Pancreatic Cancer: Overview and Comparison with Other Types of Models.

Authors:  Patrick L Garcia; Aubrey L Miller; Karina J Yoon
Journal:  Cancers (Basel)       Date:  2020-05-22       Impact factor: 6.639

Review 9.  Imaging of Preclinical Endometrial Cancer Models for Monitoring Tumor Progression and Response to Targeted Therapy.

Authors:  Heidi Espedal; Tina Fonnes; Kristine E Fasmer; Camilla Krakstad; Ingfrid S Haldorsen
Journal:  Cancers (Basel)       Date:  2019-11-27       Impact factor: 6.639

10.  Application of in vivo imaging techniques to monitor therapeutic efficiency of PLX4720 in an experimental model of microsatellite instable colorectal cancer.

Authors:  Sarah Rohde; Tobias Lindner; Stefan Polei; Jan Stenzel; Luise Borufka; Sophie Achilles; Eric Hartmann; Falko Lange; Claudia Maletzki; Michael Linnebacher; Änne Glass; Sarah Marie Schwarzenböck; Jens Kurth; Alexander Hohn; Brigitte Vollmar; Bernd Joachim Krause; Robert Jaster
Journal:  Oncotarget       Date:  2017-07-15
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