Light absorption by organs and tissues remains a limitation of bioluminescence imaging, although this limitation is intrinsic to any optical imaging modality. In the context of our approach, the effects of anatomic structures on the luminoscore are expected to have low variability provided that the studies are performed in a given model (location and mouse strand), allowing then comparisons. Bioluminescence does not need excitation light and thus is more adapted to whole body in vivo imaging than fluorescence.
Spatial resolution is also a limitation of bioluminescence imaging, and precise location of the organ from which bioluminescence photons are emitted remains difficult. However, good knowledge of the model can help in the qualitative location of the tumor sites. The only output in this bioluminescence-based method is the luminoscore. Location does not influence the luminoscore because the manual mark-up Region of Interest (ROI) covers the whole mouse. Finally, firefly luciferase requires oxygen. Accordingly, bioluminescence imaging usually underestimates necrotic tumors. Once again, a good knowledge of this aspect of the model is required.
In this paper, we are not aiming at assessing the efficacy of CpG as an anti-tumor drug (which has already been demonstrated7,9,11) but to describe a method allowing comparison of bioluminescence datasets. We indeed describe a method to quantify tumor burden intended to help standardize the acquisition protocol for comparing different assays in different places at different times and that does not require computer calculations. To ensure reproducibility and correct photon flux quantification, the imaging device must be calibrated with a light reference for home-made devices or as recommended by the provider for commercial devices.
Our protocol requires careful attention to several critical points: (i) First, the quality of the mouse anesthesia is crucial for obtaining clear images, especially in cases with long exposure times. (ii) The quantification unit must be always be the photon flux because radiance depends on the surface area of each mouse and might be irrelevant for comparing different mice. (iii) The bioluminescence images must not contain saturated pixels, because these would bias the luminoscore. (iv) Back and front acquisition are required to collect all photons emitted from the tumor site (i.e., front acquisition may not necessarily detect photons from the back of the tumor). Various different ROI drawings were tested during the development of the luminoscore method. Only the manual mark-up yielded satisfactory results that are more likely to be statistically significant (data not shown).
Inoue et al. recommend a luciferin dose of 75 mg/kg13. By using a dose of 150 mg/kg instead, the timing of imaging after the luciferin administration remains unchanged and we ensure that the plateau lasts throughout a long exposure acquisition. Luciferin must be the excess reactant throughout the acquisition process. Depending on the model, the region of interest can be adapted, as we showed in the SCL model where we drew two ROI per animal. In the SCL model, the treatment is injected when the tumor reaches 0.5 cm in its largest diameter to limit variability of engraftment. Depending on the mice, the tumor might have grown differently. To standardize and compare mice, we decided to use a ratio between treated and non-treated side that reveals the relative growth of both flanks tumors.
If no signal is observed from an injected mouse expected to be positive, either (i) the number of cells is very low and the signal is below the detection threshold; or (ii) the mouse lacks oxygen and requires immediate care.
Several of the quantitative bioluminescence analyses described by various authors require complex calculations and instruments (e.g., 3D bioluminescence tomography) to approach the absolute quantification of emitted bioluminescence photons5,15. There is no consensus on a method for quantifying bioluminescence reproducibly, especially in tumor models, with a 2D bioluminescence imager. Our aim was to standardize the image acquisition protocol to limit user-dependence.
The injection of CpG in situ after tumor inoculation reduced tumor burden in both models. The luminoscore method can serve as a tool to monitor tumor burden in other models of tumor immunotherapies. Monitoring tumor burden provides a noninvasive method that can improve our understanding of tumor growth and metastasizing mechanisms without interfering with the tumor microenvironment. The identification of animals that do and do not respond to treatment with this method is reinforced by the verification of successful tumor cell injection at the beginning of the experiment.
We here showed the adaptability of the luminoscore method in a SCL model using A20.IIA-luc2 cells. However, this method can be adapted to any other tumor model using other cell lines provided that they express luciferase, or in the context of T-cell studies (tumor specific cytotoxic T-cells, regulatory T-cells, etc.). The monitoring of in vivo gene transfer in the context of gene therapy of rare disease could also be done using the luminoscore method.
Finally the data shows that the bioluminescence-based luminoscore method enables comparisons between experiments, offers flexibility and adaptability to specific experimental needs, and is a useful tool for noninvasive longitudinal preclinical studies.