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In Vitro

Boost oncology drug discovery with XenoBase®, featuring the largest cell line selection and exclusive 3D organoid models. Benefit from OrganoidXplore™ and OmniScreen™ for rapid, in-depth analysis.

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In Vivo

Enhance drug development with our validated in vivo models, in vitro/ex vivo assays, and in silico modeling. Tailored solutions to optimize your candidates.

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Leverage our global labs and 150+ scientists for fast, tailored project execution. Benefit from our expertise, cutting-edge tech, and validated workflows for reliable data outcomes.

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Harness your data and discover biomarkers with our top bioinformatics expertise. Maximize data value and gain critical insights to accelerate drug discovery and elevate projects.

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Accelerate innovative cancer treatments with our advanced models and precise drug screening for KRAS mutations, efficiently turning insights into clinical breakthroughs.

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Advance translational pharmacology with our diverse pre-clinical models, robust assays, and data science-driven biomarker analysis, multi-omics, and spatial biology.

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Drug Resistance

Our suite integrates preclinical solutions, bioanalytical read-outs, and multi-omics to uncover drug resistance markers and expedite discovery with our unique four-step strategy.

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Enhance treatments with our human tumor and mouse models, including xenografts and organoids, for accurate cancer biology representation.

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Integrate advanced statistics into your drug development projects to gain significant biological insight into your therapeutic candidate, with our expert team of bioinformaticians.

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Accelerate your discoveries with our reliable CRISPR solutions. Our global CRISPR licenses cover an integrated drug discovery platform for in vitro and in vivo efficacy studies.

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Gain more insights into tumor growth and disease progression by leveraging our 2D and 3D fluorescence optical imaging.

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Next-generation ion mobility mass spectrometry (MS)-based proteomics services available globally to help meet your study needs.

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Gain better insight into the phenotypic response of your therapeutic candidate in organoids and ex vivo patient tissue.

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Global CRO in California, USA offering preclinical and translational oncology platforms with high-quality in vivo, in vitro, and ex vivo models.

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Imaging Orthotopic Disease

Bioluminescent imaging of a spontaneously metastatic, orthotopic tumor model, the A549 lung cancer model

Bioluminescent imaging of a spontaneously metastatic, orthotopic tumor model, the A549 lung cancer modelExplore how preclinical imaging helps visualize disease grown at depth in an in vivo, orthotopic setting.

Preclinical Animal Models in Cancer Research

One of the most challenging aspects in anticancer drug research is the development of robust preclinical models to evaluate the efficacy of novel therapies. As we’ve previously discussed, subcutaneous cancer models are useful tools to help assess novel agents. However, they often don’t represent clinical disease, with differences in tumor morphology, vascularity, microenvironment, and metastatic spread.

Tumors grown at their relevant physiological site - orthotopic models - provide a more realistic environment for disease growth, and as such are valuable models for therapeutic evaluation. A major difficulty with such techniques, however, is assessment of disease burden, with deep lying, systemic, or metastatic tumors not being amenable to the usual measurement methods.

Non-Invasive Small Animal Imaging

State-of-the-art small-animal imaging modalities provide non-invasive images full of anatomical and functional information. These data make it possible to perform longitudinal studies of disease progression and response to therapy in preclinical models, including those implanted orthotopically.

Several techniques are available and may be used either individually or in combination, dependent on the biological question of interest. Small animal imaging technologies which are useful in preclinical research include:

  • Positron emission tomography (PET)
  • Computerized tomography (CT)
  • Single Photon Emission Computed Tomography (SPECT)
  • Optical imaging
  • Magnetic resonance imaging (MRI)
  • Ultrasound
  • Optoacoustic imaging.

Each imaging modality has associated strengths and weaknesses. For example, MRI and PET/CT are relatively low throughput, and often require the use of tracers (e.g. gadolinium for MRI, 18F Fluorodexoyglucose for PET). This can increase costs and limit their use in drug efficacy studies. Optical imaging is high throughput and lower cost, but requires the use of luciferase or fluorescent markers to visualize tissues or therapeutics of interest.

Multimodal Imaging

To broaden the horizons of research, high-resolution imaging modalities are now being more commonly used in combination with sensitive functional techniques. This is across many research areas, including oncology, cardiology, infection, and neurology.

This multimodality workflow helps lead to a better understanding of underlying disease mechanisms, and provides efficient tools for evaluating new chemical entities and candidate drugs. The introduction of non-invasive small animal imaging has opened up the possibility of using such models in preclinical drug development programs. In time, this could raise the prospect of lower drug attrition rates in human trials.

Orthotopic Imaging

Several orthotopic models have been described where cancer cells are grown at clinically relevant sites, and small animal imaging has been used to visualize disease development and response to treatment. These include models of solid tumors such as prostate, brain, lung, bone, bladder, breast, and ovarian cancer [1], as well as models of liquid disease such as leukemia.

Advantages of Imaging

As well as allowing us to visualize deep lying, metastatic, and systemic disease, preclinical imaging advantages also include the ability to predictably identify engraftment at an early stage. This allows for more expeditious therapeutic intervention than conventional models and extends the therapeutic window.

Imaging also enables us to track disease development and spread in individual animals throughout the course of a study. The presence of disease in animals can be measured before treatment starts, and at a variety of timepoints during disease development and treatment.

As each animal effectively becomes its own control, the number of animals in a scientific investigation can be substantially reduced. This complies with the principles of the 3Rs (animal replacement, refinement, and reduction) and accounts for biological variability.

The use of complementary imaging technologies allows the coregistration of anatomical data with biological data. This means we can gain a deeper understanding of the mechanisms at play. In addition, imaging also allows the visualization of appropriately-labelled entities, such as therapeutics, in real-time, in vivo. Imaging data can help to optimize dosing regimens and drug delivery strategies, refining in vivo studies and ultimately improving translation from the lab to the clinic.


Small animal preclinical imaging can provide greater insight into orthotopic models of disease. This allows us to answer a range of biological questions in an elegant, sensitive, and cost-effective manner.

  • Allowing reduction in the mouse numbers needed for a given study, with each animal followed up longitudinally numerous times throughout a study.
  • Using a variety of imaging techniques, several biological questions can be resolved in the same experiment.
  • Pharmacodynamic effects and microenvironmental factors (such as vascularity, necrosis, and apoptosis) can be examined using preclinical imaging.
  • Can be utilized across a range of disease models including cancer, neurology, CVMD, infection, and inflammation.
  • We can visualize the biodistribution in vivo of a range of novel agentsincluding antibodies, ADCs, nanoparticles, and small molecules.
  • Combining multiple imaging modalities provides biological data together with anatomical reference points.
  • A complete and comprehensive data set can be obtained, maximizing the amount of information from a study, by combining imaging with more conventional techniques such as immunohistochemistry, FACS, and PK analysis.


[1] de Jong, Essers, & van Weerden. Imaging preclinical tumour models: Improving translational power. Nature Reviews Cancer 2014;14(7):481–93. 

Further Reading and Information on Preclinical Imaging Techniques

PET: Kuntner and Stout. Quantitative preclinical PET imaging: opportunities and challenges. Frontiers in Physics 2014; 2 https://doi.org/10.3389/fphy.2014.00012.

SPECT: Bernsen et al. The role of preclinical SPECT in oncological and neurological research in combination with either CT or MRI. European Journal of Nuclear Medicine and Molecular Imaging 2014; 41:36-49.

MRI: Albanese et al. Preclinical Magnetic Resonance imaging and Systems Biology in Cancer Research. The American Journal of Pathology 2013;182(2):312-318.

Ultrasound: Greco et al. Ultrasound Biomicroscopy in Small Animal Research: Applications in Molecular and Preclinical Imaging. Journal of Biomedicine and Biotechnology 2012;2012:519238.

Optoacoustic imaging: Taruttis and Ntziachristos. Advances in real-time multispectral optoacoustic imaging and its applications. Nature Photonics 2015;9:219-227

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