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Bioluminescence-Based Tumor Quantification Method for Monitoring Tumor Progression and Treatment Effects in Mouse Lymphoma Models
Published on: July 7, 2016
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Bioluminescence-Based Tumor Quantification Method for Monitoring Tumor Progression and Treatment Effects in Mouse
Jeremie Cosette1, Rym Ben Abdelwahed2, Sabrina Donnou-Triffault3
1Genethon; Cordeliers Research Center, INSERM U872; Matter and Complex Systems Laboratory, Université Paris Diderot; jcosette@genethon.fr.
Journal of Visualized Experiments : Jove
|August 9, 2016
Summary
This study introduces a new semi-quantitative method using bioluminescence imaging (BLI) to measure tumor burden in animal cancer models. The developed "luminoscore" allows for more accurate comparisons of tumor growth and treatment response in preclinical studies.
Area of Science:
- Preclinical oncology research
- Biomedical imaging techniques
Background:
- Bioluminescence imaging (BLI) is valuable for monitoring cancer in animal models.
- Current BLI analyses are largely qualitative, limiting precise quantification of tumor burden.
Purpose of the Study:
- To develop a semi-quantitative method for bioluminescence imaging to assess tumor burden and treatment response.
- To introduce a 'luminoscore' for standardized comparisons across experiments.
Main Methods:
- Utilized bioluminescence imaging (BLI) instruments to acquire front and back images.
- Calculated a 'luminoscore' based on acquisition conditions and manual region-of-interest definition.
- Applied the method to mouse lymphoma models with cell engraftment.
Main Results:
- The luminoscore method provides a semi-quantitative assessment of tumor burden.
- Demonstrated its utility in verifying tumor inoculation, monitoring burden, and evaluating in situ cancer treatment (CpG-DNA).
- Confirmed the method's adaptability to various experimental designs.
Conclusions:
- The developed luminoscore method offers a noninvasive, semi-quantitative approach for BLI in preclinical cancer studies.
- This method facilitates reliable comparisons of tumor burden and treatment efficacy.
- Recommended for early estimation of treatment response in small-animal studies.
