BACKGROUND:

Emerging imaging technologies such as real-time multispectral imaging (rMSI) hold great potential for simultaneous visualization of multiple target structures using fluorophores on various tumours including bladder cancer (BC). These technologies, however, require a multi-step preclinical evaluation process, including mouse models.

OBJECTIVE:

To demonstrate the suitability of the new rMSI technology for the detection of premalignant lesions and malignant BC in a preclinical mouse model using contrast agents.

METHODS:

Tumours were induced by N-butyl-N-(4-hydroxybutyl)-nitrosamine (BBN), which is known to induce BC in rodent models. In total, 30 mice (C57BL/6) were fed with 0.1% BBN ad libitum in drinking water for up to 5 months. Bladders were excised at 3 (n = 6) and 5 months (n = 24) of treatment and incubated ex vivo with Hexaminolevulinat (HAL, Hexvix®), CD47-FITC, CD90.2-FITC or a combination of CD90.2-FITC/CD47-FITC and HAL. The bladders were analyzed by an endoscopic rMSI prototype system equipped with a spectral filter (Chroma), a 4 mm endoscope (Karl Storz) with 30° optic, a LED light source and a PC with a microcontroller board.

RESULTS:

5-month treatment of mice with 0.1% BBN led to the formation of squamous carcinoma (46%, n = 11) while urothelial carcinoma was observed only in one mouse (4%, n = 1). Carcinoma in situ (CIS) was detectable in twelve out of twenty-four mice (50%, n = 12) treated for 5 month and in three out of six mice (50%, n = 3) treated for 3 months.The metabolite of HAL, protoporphyrin IX (PpIX), could be reliably and specifically detected in all of mouse bladder tumours and CIS. However, detection of the CD90.2 surface marker was less reliable, potentially due to species- or tumour-subtype specificity.

CONCLUSIONS:

This model offers the potential for preclinical imaging studies with combined fluorescence targets, e.g. HAL, in combination with BC-specific antibodies.

Search results

Establishment of Real-Time Multispectral Imaging for the Detection of Bladder Cancer Using a Preclinical in Vivo Model