Literature DB >> 26834104

Mouse Models of Breast Cancer: Platforms for Discovering Precision Imaging Diagnostics and Future Cancer Medicine.

H Charles Manning1, Jason R Buck2, Rebecca S Cook3.   

Abstract

Representing an enormous health care and socioeconomic challenge, breast cancer is the second most common cancer in the world and the second most common cause of cancer-related death. Although many of the challenges associated with preventing, treating, and ultimately curing breast cancer are addressable in the laboratory, successful translation of groundbreaking research to clinical populations remains an important barrier. Particularly when compared with research on other types of solid tumors, breast cancer research is hampered by a lack of tractable in vivo model systems that accurately recapitulate the relevant clinical features of the disease. A primary objective of this article was to provide a generalizable overview of the types of in vivo model systems, with an emphasis primarily on murine models, that are widely deployed in preclinical breast cancer research. Major opportunities to advance precision cancer medicine facilitated by molecular imaging of preclinical breast cancer models are discussed.
© 2016 by the Society of Nuclear Medicine and Molecular Imaging, Inc.

Entities:  

Keywords:  animal imaging; breast cancer; coclinical trials; molecular imaging; mouse models; precision medicine

Mesh:

Year:  2016        PMID: 26834104      PMCID: PMC6231414          DOI: 10.2967/jnumed.115.157917

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  47 in total

1.  Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies.

Authors:  Brian D Lehmann; Joshua A Bauer; Xi Chen; Melinda E Sanders; A Bapsi Chakravarthy; Yu Shyr; Jennifer A Pietenpol
Journal:  J Clin Invest       Date:  2011-07       Impact factor: 14.808

Review 2.  Genome editing. The new frontier of genome engineering with CRISPR-Cas9.

Authors:  Jennifer A Doudna; Emmanuelle Charpentier
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Review 3.  Transgenic mouse models of human breast cancer.

Authors:  J N Hutchinson; W J Muller
Journal:  Oncogene       Date:  2000-12-11       Impact factor: 9.867

4.  PET imaging of estrogen receptors as a diagnostic tool for breast cancer patients presenting with a clinical dilemma.

Authors:  Michel van Kruchten; Andor W J M Glaudemans; Erik F J de Vries; Regina G H Beets-Tan; Carolien P Schröder; Rudi A Dierckx; Elisabeth G E de Vries; Geke A P Hospers
Journal:  J Nucl Med       Date:  2012-01-12       Impact factor: 10.057

5.  [(18)F]-FLT PET to predict early response to neoadjuvant therapy in KRAS wild-type rectal cancer: a pilot study.

Authors:  Eliot T McKinley; Jennifer M Watchmaker; A Bapsi Chakravarthy; Jeffrey A Meyerhardt; Jeffrey A Engelman; Ronald C Walker; M Kay Washington; Robert J Coffey; H Charles Manning
Journal:  Ann Nucl Med       Date:  2015-04-22       Impact factor: 2.668

6.  A co-clinical platform to accelerate cancer treatment optimization.

Authors:  Andrea Lunardi; Pier Paolo Pandolfi
Journal:  Trends Mol Med       Date:  2014-11-17       Impact factor: 11.951

Review 7.  Imaging in the era of molecular oncology.

Authors:  Ralph Weissleder; Mikael J Pittet
Journal:  Nature       Date:  2008-04-03       Impact factor: 49.962

8.  Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012.

Authors:  Jacques Ferlay; Isabelle Soerjomataram; Rajesh Dikshit; Sultan Eser; Colin Mathers; Marise Rebelo; Donald Maxwell Parkin; David Forman; Freddie Bray
Journal:  Int J Cancer       Date:  2014-10-09       Impact factor: 7.396

9.  Recombinant humanized anti-HER2 antibody (Herceptin) enhances the antitumor activity of paclitaxel and doxorubicin against HER2/neu overexpressing human breast cancer xenografts.

Authors:  J Baselga; L Norton; J Albanell; Y M Kim; J Mendelsohn
Journal:  Cancer Res       Date:  1998-07-01       Impact factor: 12.701

10.  Hormone receptor status, tumor characteristics, and prognosis: a prospective cohort of breast cancer patients.

Authors:  Lisa K Dunnwald; Mary Anne Rossing; Christopher I Li
Journal:  Breast Cancer Res       Date:  2007       Impact factor: 6.466

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  15 in total

Review 1.  Effects of isoflavones on breast tissue and the thyroid hormone system in humans: a comprehensive safety evaluation.

Authors:  S Hüser; S Guth; H G Joost; S T Soukup; J Köhrle; L Kreienbrock; P Diel; D W Lachenmeier; G Eisenbrand; G Vollmer; U Nöthlings; D Marko; A Mally; T Grune; L Lehmann; P Steinberg; S E Kulling
Journal:  Arch Toxicol       Date:  2018-08-21       Impact factor: 5.153

2.  Intraductal Injection of Lentivirus Vectors for Stably Introducing Genes into Rat Mammary Epithelial Cells in Vivo.

Authors:  Wen Bu; Yi Li
Journal:  J Mammary Gland Biol Neoplasia       Date:  2020-11-09       Impact factor: 2.673

3.  A novel patient-derived xenograft model for claudin-low triple-negative breast cancer.

Authors:  Margarite D Matossian; Hope E Burks; Annie C Bowles; Steven Elliott; Van T Hoang; Rachel A Sabol; Nicholas C Pashos; Benjamen O'Donnell; Kristin S Miller; Bahia M Wahba; Bruce A Bunnell; Krzysztof Moroz; Arnold H Zea; Steven D Jones; Augusto C Ochoa; Amir A Al-Khami; Fokhrul Hossain; Adam I Riker; Lyndsay V Rhodes; Elizabeth C Martin; Lucio Miele; Matthew E Burow; Bridgette M Collins-Burow
Journal:  Breast Cancer Res Treat       Date:  2018-02-01       Impact factor: 4.872

Review 4.  Breast cancer models: Engineering the tumor microenvironment.

Authors:  Gokhan Bahcecioglu; Gozde Basara; Bradley W Ellis; Xiang Ren; Pinar Zorlutuna
Journal:  Acta Biomater       Date:  2020-02-09       Impact factor: 8.947

5.  Mechanistic modeling quantifies the influence of tumor growth kinetics on the response to anti-angiogenic treatment.

Authors:  Thomas D Gaddy; Qianhui Wu; Alyssa D Arnheim; Stacey D Finley
Journal:  PLoS Comput Biol       Date:  2017-12-21       Impact factor: 4.475

6.  Identification of Differentially Expressed Genes between Original Breast Cancer and Xenograft Using Machine Learning Algorithms.

Authors:  Deling Wang; Jia-Rui Li; Yu-Hang Zhang; Lei Chen; Tao Huang; Yu-Dong Cai
Journal:  Genes (Basel)       Date:  2018-03-12       Impact factor: 4.096

7.  MIND model for triple-negative breast cancer in syngeneic mice for quick and sequential progression analysis of lung metastasis.

Authors:  Arnab Ghosh; Sandipto Sarkar; Snigdha Banerjee; Fariba Behbod; Ossama Tawfik; Douglas McGregor; Stephanie Graff; Sushanta K Banerjee
Journal:  PLoS One       Date:  2018-05-29       Impact factor: 3.240

Review 8.  Preclinical Molecular Imaging for Precision Medicine in Breast Cancer Mouse Models.

Authors:  M F Fiordelisi; L Auletta; L Meomartino; L Basso; G Fatone; M Salvatore; M Mancini; A Greco
Journal:  Contrast Media Mol Imaging       Date:  2019-09-22       Impact factor: 3.161

9.  Characterization of triple-negative breast cancer preclinical models provides functional evidence of metastatic progression.

Authors:  Juan J Arroyo-Crespo; Ana Armiñán; David Charbonnier; Coralie Deladriere; Martina Palomino-Schätzlein; Rubén Lamas-Domingo; Jerónimo Forteza; Antonio Pineda-Lucena; María J Vicent
Journal:  Int J Cancer       Date:  2019-04-02       Impact factor: 7.396

10.  Investigating circulating tumor cells and distant metastases in patient-derived orthotopic xenograft models of triple-negative breast cancer.

Authors:  Vishnu C Ramani; Clementine A Lemaire; Melanie Triboulet; Kerriann M Casey; Kyra Heirich; Corinne Renier; José G Vilches-Moure; Rakhi Gupta; Aryana M Razmara; Haiyu Zhang; George W Sledge; Elodie Sollier; Stefanie S Jeffrey
Journal:  Breast Cancer Res       Date:  2019-08-28       Impact factor: 6.466

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