Potential Limitations of Bioluminescent Xenograft Mouse Models: A Systematic Review.


Journal

Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques
ISSN: 1482-1826
Titre abrégé: J Pharm Pharm Sci
Pays: Switzerland
ID NLM: 9807281

Informations de publication

Date de publication:
2020
Historique:
entrez: 15 5 2020
pubmed: 15 5 2020
medline: 26 10 2021
Statut: ppublish

Résumé

Bioluminescent imaging (BLI) is a versatile technique that offers non-invasive and real-time monitoring of tumor development in preclinical cancer research. However, the technique may be limited by several factors that can lead to misinterpretation of the data. This review aimed to investigate the validity of current BLI tumor models and provide recommendations for future model development. Two major databases, MedLine and EMBASE, were searched from inception to July 2018 inclusively. Studies utilizing mouse xenograft models with demonstration of linear correlations between bioluminescent signal and tumor burden were included. Coefficients of correlation and determination were extracted along with data relating to animal model parameters. 116 studies were included for analysis. It was found that the majority of models demonstrate good correlation regardless of the model type. Selection of a single cell clone with highest luciferase expression resulted in a significantly better correlation. Lastly, appropriate tumor measurement techniques should be utilized when validating the BLI model. In general, BLI remains a valid tool for pre-clinical assessment of tumor burden. While no single factor may be identified as a general limitation, data should be interpreted with caution.

Identifiants

pubmed: 32407285
doi: 10.18433/jpps30870
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

177-199

Auteurs

Yen Ting Shen (YT)

Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada.

Rashi Asthana (R)

Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada.

Casper Peeters (C)

Imaging Department, University Medical Centre, Utrecht, The Netherlands.

Christine Allen (C)

Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada.

Carlo DeAngelis (C)

Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada.

Micheline Piquette-Miller (M)

Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada.

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Classifications MeSH